From d7b342ea64817e4fc5f7a5e58b2e15f3f7d925f9 Mon Sep 17 00:00:00 2001 From: dlyakhov Date: Mon, 16 Oct 2023 13:44:27 +0200 Subject: [PATCH] SE_BLOCK pattern moved from HW to IGNORED pattres --- nncf/common/graph/patterns/manager.py | 32 +- nncf/common/graph/patterns/patterns.py | 18 +- .../search_building_blocks/search_graph.py | 5 +- nncf/openvino/hardware/fused_patterns.py | 42 - .../openvino/quantization/ignored_patterns.py | 43 + nncf/torch/hardware/fused_patterns.py | 117 -- nncf/torch/quantization/ignored_patterns.py | 119 ++ tests/common/test_pattern_manager.py | 49 +- tests/onnx/test_pattern_manager.py | 2 +- .../asymmetric/mobilenet_v3_small.dot | 1054 ++++++------ .../quantized/asymmetric/senet18.dot | 750 +++++---- .../symmetric/mobilenet_v3_small.dot | 1054 ++++++------ .../quantized/symmetric/senet18.dot | 750 +++++---- .../mobilenet_v3_small.dot | 1472 +++++++++-------- .../quantized_rb_sparsity/senet18.dot | 1024 ++++++------ 15 files changed, 3486 insertions(+), 3045 deletions(-) diff --git a/nncf/common/graph/patterns/manager.py b/nncf/common/graph/patterns/manager.py index 5587072bd92..09726360d25 100644 --- a/nncf/common/graph/patterns/manager.py +++ b/nncf/common/graph/patterns/manager.py @@ -10,7 +10,6 @@ # limitations under the License. from typing import Callable, Dict, Optional, Union -from nncf.common.graph.patterns.patterns import AlgorithmType from nncf.common.graph.patterns.patterns import GraphPattern from nncf.common.graph.patterns.patterns import HWFusedPatternNames from nncf.common.graph.patterns.patterns import IgnoredPatternNames @@ -75,10 +74,7 @@ def _get_backend_ignored_patterns_map( @staticmethod def _filter_patterns( - patterns_to_filter: Dict[PatternNames, Callable[[], GraphPattern]], - device: TargetDevice, - model_type: ModelType, - algorithm: AlgorithmType, + patterns_to_filter: Dict[PatternNames, Callable[[], GraphPattern]], device: TargetDevice, model_type: ModelType ) -> Dict[PatternNames, Callable[[], GraphPattern]]: """ Returns all patterns from patterns_to_filter that are satisfited device and model_type parameters. @@ -92,13 +88,9 @@ def _filter_patterns( for pattern_desc, pattern_creator in patterns_to_filter.items(): pattern_desc_devices = pattern_desc.value.devices pattern_desc_model_types = pattern_desc.value.model_types - pattern_ignored_algorithms = pattern_desc.value.ignored_algorithms devices_condition = pattern_desc_devices is None or device in pattern_desc_devices model_types_condition = pattern_desc_model_types is None or model_type in pattern_desc_model_types - ignored_algorithms_condition = ( - pattern_ignored_algorithms is None or algorithm not in pattern_ignored_algorithms - ) - if devices_condition and model_types_condition and ignored_algorithms_condition: + if devices_condition and model_types_condition: filtered_patterns[pattern_desc] = pattern_creator return filtered_patterns @@ -107,7 +99,6 @@ def _get_full_pattern_graph( backend_patterns_map: Dict[PatternNames, Callable[[], GraphPattern]], device: TargetDevice, model_type: ModelType, - algorithm: Optional[AlgorithmType], ) -> GraphPattern: """ Filters patterns and returns GraphPattern with registered filtered patterns. @@ -115,10 +106,9 @@ def _get_full_pattern_graph( :param backend_patterns_map: Dictionary with the PatternNames instance as keys and creator function as a value. :param device: TargetDevice instance. :param model_type: ModelType instance. - :param algorithm: AlgorithmType instance. :return: Completed GraphPattern based on the backend, device & model_type. """ - filtered_patterns = PatternsManager._filter_patterns(backend_patterns_map, device, model_type, algorithm) + filtered_patterns = PatternsManager._filter_patterns(backend_patterns_map, device, model_type) patterns = Patterns() for pattern_desc, pattern_creator in filtered_patterns.items(): patterns.register(pattern_creator(), pattern_desc.value.name) @@ -126,10 +116,7 @@ def _get_full_pattern_graph( @staticmethod def get_full_hw_pattern_graph( - backend: BackendType, - device: TargetDevice, - model_type: Optional[ModelType] = None, - algorithm: Optional[AlgorithmType] = None, + backend: BackendType, device: TargetDevice, model_type: Optional[ModelType] = None ) -> GraphPattern: """ Returns a GraphPattern containing all registered hardware patterns specifically @@ -138,18 +125,14 @@ def get_full_hw_pattern_graph( :param backend: BackendType instance. :param device: TargetDevice instance. :param model_type: ModelType instance. - :param algorithm: AlgorithmType instance. :return: Completed GraphPattern based on the backend, device & model_type. """ backend_patterns_map = PatternsManager._get_backend_hw_patterns_map(backend) - return PatternsManager._get_full_pattern_graph(backend_patterns_map, device, model_type, algorithm) + return PatternsManager._get_full_pattern_graph(backend_patterns_map, device, model_type) @staticmethod def get_full_ignored_pattern_graph( - backend: BackendType, - device: TargetDevice, - model_type: Optional[ModelType] = None, - algorithm: Optional[AlgorithmType] = None, + backend: BackendType, device: TargetDevice, model_type: Optional[ModelType] = None ) -> GraphPattern: """ Returns a GraphPattern containing all registered ignored patterns specifically @@ -158,8 +141,7 @@ def get_full_ignored_pattern_graph( :param backend: BackendType instance. :param device: TargetDevice instance. :param model_type: ModelType instance. - :param algorithm: AlgorithmType instance. :return: Completed GraphPattern with registered value based on the backend, device & model_type. """ backend_patterns_map = PatternsManager._get_backend_ignored_patterns_map(backend) - return PatternsManager._get_full_pattern_graph(backend_patterns_map, device, model_type, algorithm) + return PatternsManager._get_full_pattern_graph(backend_patterns_map, device, model_type) diff --git a/nncf/common/graph/patterns/patterns.py b/nncf/common/graph/patterns/patterns.py index 7f7c9053169..7c742fc39e5 100644 --- a/nncf/common/graph/patterns/patterns.py +++ b/nncf/common/graph/patterns/patterns.py @@ -260,16 +260,6 @@ def merge_two_types_of_operations(first_op: Dict, second_op: Dict, label: str) - raise RuntimeError("Incorrect dicts of operations") -class AlgorithmType(Enum): - """ - Algorithm type which is used by the pattern manager to - provide patterns specific to the target algorithm type. - """ - - QUANTIZATION = "QUANTIZATION" - NAS = "NAS" - - @dataclass class PatternDesc: """ @@ -286,8 +276,7 @@ class PatternDesc: name: str devices: Optional[List[TargetDevice]] = None - model_types: Optional[List[ModelType]] = None - ignored_algorithms: Optional[List[AlgorithmType]] = None + model_types: Optional[List[TargetDevice]] = None class HWFusedPatternNames(Enum): @@ -298,6 +287,8 @@ class HWFusedPatternNames(Enum): # ATOMIC OPERATIONS L2_NORM = PatternDesc("l2_norm") + MVN = PatternDesc("mvn") + GELU = PatternDesc("gelu") # BLOCK PATTERNS ADD_SCALE_SHIFT_OUTPUT = PatternDesc("add_scale_shift_output") @@ -307,7 +298,6 @@ class HWFusedPatternNames(Enum): NORMALIZE_L2_MULTIPLY = PatternDesc("normalize_l2_multiply") SCALE_SHIFT = PatternDesc("scale_shift") SHIFT_SCALE = PatternDesc("shift_scale") - SE_BLOCK = PatternDesc("se_block", ignored_algorithms=[AlgorithmType.NAS]) SOFTMAX_DIV = PatternDesc("softmax_div") # ACTIVATIONS @@ -349,6 +339,7 @@ class HWFusedPatternNames(Enum): LINEAR_ACTIVATIONS_BATCH_NORM = PatternDesc("linear_activations_batch_norm") LINEAR_ACTIVATIONS_SCALE_SHIFT = PatternDesc("linear_activations_scale_shift") LINEAR_ARITHMETIC = PatternDesc("linear_arithmetic") + LINEAR_SHIFT_SCALE = PatternDesc("linear_shift_scale") LINEAR_ARITHMETIC_ACTIVATIONS = PatternDesc("linear_arithmetic_activations") # Found in PicoDet models LINEAR_ARITHMETIC_ACTIVATIONS_ARITHMETIC = PatternDesc("linear_arithmetic_activations_arithmetic") @@ -404,5 +395,6 @@ class IgnoredPatternNames(Enum): model_types=[ModelType.TRANSFORMER], devices=[TargetDevice.ANY, TargetDevice.CPU, TargetDevice.GPU, TargetDevice.VPU], ) + SE_BLOCK = PatternDesc("se_block") FC_BN_HSWISH_ACTIVATION = PatternDesc("fc_bn_hswish_activation") EQUAL_LOGICALNOT = PatternDesc("equal_logicalnot") diff --git a/nncf/experimental/torch/search_building_blocks/search_graph.py b/nncf/experimental/torch/search_building_blocks/search_graph.py index b879e9ae749..a2820130f87 100644 --- a/nncf/experimental/torch/search_building_blocks/search_graph.py +++ b/nncf/experimental/torch/search_building_blocks/search_graph.py @@ -20,7 +20,6 @@ from nncf.common.graph.graph_matching import find_subgraphs_matching_pattern from nncf.common.graph.patterns.manager import PatternsManager from nncf.common.graph.patterns.manager import TargetDevice -from nncf.common.graph.patterns.patterns import AlgorithmType from nncf.common.utils.backend import BackendType from nncf.common.utils.dot_file_rw import write_dot_graph from nncf.torch.graph.graph import PTNNCFGraph @@ -258,9 +257,7 @@ def get_merged_original_graph_with_pattern(orig_graph: nx.DiGraph, hw_fused_ops: if not hw_fused_ops: return merged_graph # pylint: disable=protected-access - pattern_fusing_graph = PatternsManager.get_full_hw_pattern_graph( - backend=BackendType.TORCH, device=TargetDevice.ANY, algorithm=AlgorithmType.NAS - ) + pattern_fusing_graph = PatternsManager.get_full_hw_pattern_graph(backend=BackendType.TORCH, device=TargetDevice.ANY) matches = find_subgraphs_matching_pattern(orig_graph, pattern_fusing_graph) nx.set_node_attributes(merged_graph, False, SearchGraph.IS_DUMMY_NODE_ATTR) nx.set_node_attributes(merged_graph, False, SearchGraph.IS_MERGED_NODE_ATTR) diff --git a/nncf/openvino/hardware/fused_patterns.py b/nncf/openvino/hardware/fused_patterns.py index dcf29333d28..93d6d8157a8 100644 --- a/nncf/openvino/hardware/fused_patterns.py +++ b/nncf/openvino/hardware/fused_patterns.py @@ -147,48 +147,6 @@ def create_shift_scale() -> GraphPattern: return pattern -@OPENVINO_HW_FUSED_PATTERNS.register(HWFusedPatternNames.SE_BLOCK) -def create_se_block() -> GraphPattern: - pattern = GraphPattern() - any_node = pattern.add_node( - **{GraphPattern.LABEL_ATTR: "ANY", GraphPattern.METATYPE_ATTR: GraphPattern.NON_PATTERN_NODE_TYPE} - ) - reduce_mean_node = pattern.add_node( - **{GraphPattern.LABEL_ATTR: "REDUCE_MEAN", GraphPattern.METATYPE_ATTR: om.OVReduceMeanMetatype} - ) - linear_node_1 = pattern.add_node( - **{GraphPattern.METATYPE_ATTR: LINEAR_OPERATIONS, GraphPattern.LABEL_ATTR: "LINEAR"} - ) - add_node_1 = pattern.add_node(**{GraphPattern.LABEL_ATTR: "ADD_BIAS", GraphPattern.METATYPE_ATTR: om.OVAddMetatype}) - activation_node_1 = pattern.add_node( - **{ - GraphPattern.LABEL_ATTR: "RELU, PRELU, SWISH", - GraphPattern.METATYPE_ATTR: [om.OVReluMetatype, om.OVPReluMetatype, om.OVSwishMetatype], - } - ) - linear_node_2 = pattern.add_node( - **{GraphPattern.METATYPE_ATTR: LINEAR_OPERATIONS, GraphPattern.LABEL_ATTR: "LINEAR"} - ) - add_node_2 = pattern.add_node(**{GraphPattern.LABEL_ATTR: "ADD_BIAS", GraphPattern.METATYPE_ATTR: om.OVAddMetatype}) - activation_node_2 = pattern.add_node( - **{GraphPattern.LABEL_ATTR: "SIGMOID", GraphPattern.METATYPE_ATTR: om.OVSigmoidMetatype} - ) - multiply_node = pattern.add_node( - **{GraphPattern.LABEL_ATTR: "MULTIPLY", GraphPattern.METATYPE_ATTR: om.OVMultiplyMetatype} - ) - - pattern.add_edge(any_node, reduce_mean_node) - pattern.add_edge(reduce_mean_node, linear_node_1) - pattern.add_edge(linear_node_1, add_node_1) - pattern.add_edge(add_node_1, activation_node_1) - pattern.add_edge(activation_node_1, linear_node_2) - pattern.add_edge(linear_node_2, add_node_2) - pattern.add_edge(add_node_2, activation_node_2) - pattern.add_edge(activation_node_2, multiply_node) - pattern.add_edge(any_node, multiply_node) - return pattern - - @OPENVINO_HW_FUSED_PATTERNS.register(HWFusedPatternNames.SOFTMAX_DIV) def create_softmax_div() -> GraphPattern: pattern = GraphPattern() diff --git a/nncf/openvino/quantization/ignored_patterns.py b/nncf/openvino/quantization/ignored_patterns.py index b61d11e933e..82d08ae470d 100644 --- a/nncf/openvino/quantization/ignored_patterns.py +++ b/nncf/openvino/quantization/ignored_patterns.py @@ -12,6 +12,7 @@ from nncf.common.graph.patterns.patterns import IgnoredPatternNames from nncf.common.utils.registry import Registry from nncf.openvino.graph.metatypes import openvino_metatypes as om +from nncf.openvino.graph.metatypes.groups import LINEAR_OPERATIONS OPENVINO_IGNORED_PATTERNS = Registry("IGNORED_PATTERNS") @@ -108,3 +109,45 @@ def create_equal_logicalnot() -> GraphPattern: pattern.add_edge(equal_node, logical_not_node) return pattern + + +@OPENVINO_IGNORED_PATTERNS.register(IgnoredPatternNames.SE_BLOCK) +def create_se_block() -> GraphPattern: + pattern = GraphPattern() + any_node = pattern.add_node( + **{GraphPattern.LABEL_ATTR: "ANY", GraphPattern.METATYPE_ATTR: GraphPattern.NON_PATTERN_NODE_TYPE} + ) + reduce_mean_node = pattern.add_node( + **{GraphPattern.LABEL_ATTR: "REDUCE_MEAN", GraphPattern.METATYPE_ATTR: om.OVReduceMeanMetatype} + ) + linear_node_1 = pattern.add_node( + **{GraphPattern.METATYPE_ATTR: LINEAR_OPERATIONS, GraphPattern.LABEL_ATTR: "LINEAR"} + ) + add_node_1 = pattern.add_node(**{GraphPattern.LABEL_ATTR: "ADD_BIAS", GraphPattern.METATYPE_ATTR: om.OVAddMetatype}) + activation_node_1 = pattern.add_node( + **{ + GraphPattern.LABEL_ATTR: "RELU, PRELU, SWISH", + GraphPattern.METATYPE_ATTR: [om.OVReluMetatype, om.OVPReluMetatype, om.OVSwishMetatype], + } + ) + linear_node_2 = pattern.add_node( + **{GraphPattern.METATYPE_ATTR: LINEAR_OPERATIONS, GraphPattern.LABEL_ATTR: "LINEAR"} + ) + add_node_2 = pattern.add_node(**{GraphPattern.LABEL_ATTR: "ADD_BIAS", GraphPattern.METATYPE_ATTR: om.OVAddMetatype}) + activation_node_2 = pattern.add_node( + **{GraphPattern.LABEL_ATTR: "SIGMOID", GraphPattern.METATYPE_ATTR: om.OVSigmoidMetatype} + ) + multiply_node = pattern.add_node( + **{GraphPattern.LABEL_ATTR: "MULTIPLY", GraphPattern.METATYPE_ATTR: om.OVMultiplyMetatype} + ) + + pattern.add_edge(any_node, reduce_mean_node) + pattern.add_edge(reduce_mean_node, linear_node_1) + pattern.add_edge(linear_node_1, add_node_1) + pattern.add_edge(add_node_1, activation_node_1) + pattern.add_edge(activation_node_1, linear_node_2) + pattern.add_edge(linear_node_2, add_node_2) + pattern.add_edge(add_node_2, activation_node_2) + pattern.add_edge(activation_node_2, multiply_node) + pattern.add_edge(any_node, multiply_node) + return pattern diff --git a/nncf/torch/hardware/fused_patterns.py b/nncf/torch/hardware/fused_patterns.py index 891132a50a1..c30e5b0d4c0 100644 --- a/nncf/torch/hardware/fused_patterns.py +++ b/nncf/torch/hardware/fused_patterns.py @@ -320,120 +320,3 @@ def create_h_sigmoid_act() -> GraphPattern: main_pattern.add_pattern_alternative(pattern) return main_pattern - - -# pylint:disable=too-many-statements -@PT_HW_FUSED_PATTERNS.register(HWFusedPatternNames.SE_BLOCK) -def create_se_block() -> GraphPattern: - MEAN_OPERATIONS = { - GraphPattern.LABEL_ATTR: "REDUCE_MEAN", - GraphPattern.METATYPE_ATTR: ["avg_pool2d", "adaptive_avg_pool2d", "avg_pool3d", "adaptive_avg_pool3d", "mean"], - } - SYGMOID_OPERATIONS = { - GraphPattern.LABEL_ATTR: "SIGMOID", - GraphPattern.METATYPE_ATTR: ["sigmoid", "hardsigmoid"], - } - - def get_se_block_pattern() -> GraphPattern: - pattern = GraphPattern() - any_node = pattern.add_node(label="ANY", type=GraphPattern.NON_PATTERN_NODE_TYPE) - reduce_mean_node = pattern.add_node(**MEAN_OPERATIONS) - linear_node_1 = pattern.add_node(**LINEAR_OPERATIONS) - activation_node_1 = pattern.add_node(**ATOMIC_ACTIVATIONS_OPERATIONS) - linear_node_2 = pattern.add_node(**LINEAR_OPERATIONS) - activation_node_2 = pattern.add_node(**SYGMOID_OPERATIONS) - multiply_node = pattern.add_node(label="MUL", type="__mul__") - - pattern.add_edge(any_node, reduce_mean_node) - pattern.add_edge(reduce_mean_node, linear_node_1) - pattern.add_edge(linear_node_1, activation_node_1) - pattern.add_edge(activation_node_1, linear_node_2) - pattern.add_edge(linear_node_2, activation_node_2) - pattern.add_edge(activation_node_2, multiply_node) - pattern.add_edge(any_node, multiply_node) - return pattern - - def get_se_block_with_bias_pattern() -> GraphPattern: - pattern = GraphPattern() - any_node = pattern.add_node(label="ANY", type=GraphPattern.NON_PATTERN_NODE_TYPE) - reduce_mean_node = pattern.add_node(**MEAN_OPERATIONS) - linear_node_1 = pattern.add_node(**LINEAR_OPERATIONS) - add_node_1 = pattern.add_node(label="ADD_BIAS", type=["__add__", "__sub__"]) - activation_node_1 = pattern.add_node(**ATOMIC_ACTIVATIONS_OPERATIONS) - linear_node_2 = pattern.add_node(**LINEAR_OPERATIONS) - add_node_2 = pattern.add_node(label="ADD_BIAS", type=["__add__", "__sub__"]) - activation_node_2 = pattern.add_node(**SYGMOID_OPERATIONS) - multiply_node = pattern.add_node(label="MUL", type="__mul__") - - pattern.add_edge(any_node, reduce_mean_node) - pattern.add_edge(reduce_mean_node, linear_node_1) - pattern.add_edge(linear_node_1, add_node_1) - pattern.add_edge(add_node_1, activation_node_1) - pattern.add_edge(activation_node_1, linear_node_2) - pattern.add_edge(linear_node_2, add_node_2) - pattern.add_edge(add_node_2, activation_node_2) - pattern.add_edge(activation_node_2, multiply_node) - pattern.add_edge(any_node, multiply_node) - return pattern - - RESHAPE_NODES = { - GraphPattern.LABEL_ATTR: "RESHAPE", - GraphPattern.METATYPE_ATTR: ["reshape", "view", "flatten", "unsqueeze"], - } - - def get_se_block_with_reshape() -> GraphPattern: - pattern = GraphPattern() - any_node = pattern.add_node(label="ANY", type=GraphPattern.NON_PATTERN_NODE_TYPE) - reduce_mean_node = pattern.add_node(**MEAN_OPERATIONS) - reshape_node_1 = pattern.add_node(**RESHAPE_NODES) - linear_node_1 = pattern.add_node(**LINEAR_OPERATIONS) - activation_node_1 = pattern.add_node(**ATOMIC_ACTIVATIONS_OPERATIONS) - linear_node_2 = pattern.add_node(**LINEAR_OPERATIONS) - activation_node_2 = pattern.add_node(**SYGMOID_OPERATIONS) - reshape_node_2 = pattern.add_node(**RESHAPE_NODES) - multiply_node = pattern.add_node(label="MUL", type="__mul__") - - pattern.add_edge(any_node, reduce_mean_node) - pattern.add_edge(reduce_mean_node, reshape_node_1) - pattern.add_edge(reshape_node_1, linear_node_1) - pattern.add_edge(linear_node_1, activation_node_1) - pattern.add_edge(activation_node_1, linear_node_2) - pattern.add_edge(linear_node_2, activation_node_2) - pattern.add_edge(activation_node_2, reshape_node_2) - pattern.add_edge(reshape_node_2, multiply_node) - pattern.add_edge(any_node, multiply_node) - return pattern - - def get_se_block_with_bias_and_reshape() -> GraphPattern: - pattern = GraphPattern() - any_node = pattern.add_node(label="ANY", type=GraphPattern.NON_PATTERN_NODE_TYPE) - reduce_mean_node = pattern.add_node(**MEAN_OPERATIONS) - reshape_node_1 = pattern.add_node(**RESHAPE_NODES) - linear_node_1 = pattern.add_node(**LINEAR_OPERATIONS) - add_node_1 = pattern.add_node(label="ADD_BIAS", type=["__add__", "__sub__"]) - activation_node_1 = pattern.add_node(**ATOMIC_ACTIVATIONS_OPERATIONS) - linear_node_2 = pattern.add_node(**LINEAR_OPERATIONS) - add_node_2 = pattern.add_node(label="ADD_BIAS", type=["__add__", "__sub__"]) - activation_node_2 = pattern.add_node(**SYGMOID_OPERATIONS) - reshape_node_2 = pattern.add_node(**RESHAPE_NODES) - multiply_node = pattern.add_node(label="MUL", type="__mul__") - - pattern.add_edge(any_node, reduce_mean_node) - pattern.add_edge(reduce_mean_node, reshape_node_1) - pattern.add_edge(reshape_node_1, linear_node_1) - pattern.add_edge(linear_node_1, add_node_1) - pattern.add_edge(add_node_1, activation_node_1) - pattern.add_edge(activation_node_1, linear_node_2) - pattern.add_edge(linear_node_2, add_node_2) - pattern.add_edge(add_node_2, activation_node_2) - pattern.add_edge(activation_node_2, reshape_node_2) - pattern.add_edge(reshape_node_2, multiply_node) - pattern.add_edge(any_node, multiply_node) - return pattern - - main_pattern = GraphPattern() - main_pattern.add_pattern_alternative(get_se_block_pattern()) - main_pattern.add_pattern_alternative(get_se_block_with_bias_pattern()) - main_pattern.add_pattern_alternative(get_se_block_with_reshape()) - main_pattern.add_pattern_alternative(get_se_block_with_bias_and_reshape()) - return main_pattern diff --git a/nncf/torch/quantization/ignored_patterns.py b/nncf/torch/quantization/ignored_patterns.py index d4816cc482e..99f69f0818c 100644 --- a/nncf/torch/quantization/ignored_patterns.py +++ b/nncf/torch/quantization/ignored_patterns.py @@ -11,6 +11,8 @@ from nncf.common.graph.patterns.patterns import GraphPattern from nncf.common.graph.patterns.patterns import IgnoredPatternNames from nncf.common.utils.registry import Registry +from nncf.torch.graph.pattern_operations import ATOMIC_ACTIVATIONS_OPERATIONS +from nncf.torch.graph.pattern_operations import LINEAR_OPERATIONS PT_IGNORED_PATTERNS = Registry("IGNORED_PATTERNS") @@ -88,3 +90,120 @@ def create_multihead_attention_output() -> GraphPattern: transpose_aliases=transpose_aliases, ) return pattern + + +# pylint:disable=too-many-statements +@PT_IGNORED_PATTERNS.register(IgnoredPatternNames.SE_BLOCK) +def create_se_block() -> GraphPattern: + MEAN_OPERATIONS = { + GraphPattern.LABEL_ATTR: "REDUCE_MEAN", + GraphPattern.METATYPE_ATTR: ["avg_pool2d", "adaptive_avg_pool2d", "avg_pool3d", "adaptive_avg_pool3d", "mean"], + } + SYGMOID_OPERATIONS = { + GraphPattern.LABEL_ATTR: "SIGMOID", + GraphPattern.METATYPE_ATTR: ["sigmoid", "hardsigmoid"], + } + + def get_se_block_pattern() -> GraphPattern: + pattern = GraphPattern() + any_node = pattern.add_node(label="ANY", type=GraphPattern.NON_PATTERN_NODE_TYPE) + reduce_mean_node = pattern.add_node(**MEAN_OPERATIONS) + linear_node_1 = pattern.add_node(**LINEAR_OPERATIONS) + activation_node_1 = pattern.add_node(**ATOMIC_ACTIVATIONS_OPERATIONS) + linear_node_2 = pattern.add_node(**LINEAR_OPERATIONS) + activation_node_2 = pattern.add_node(**SYGMOID_OPERATIONS) + multiply_node = pattern.add_node(label="MUL", type="__mul__") + + pattern.add_edge(any_node, reduce_mean_node) + pattern.add_edge(reduce_mean_node, linear_node_1) + pattern.add_edge(linear_node_1, activation_node_1) + pattern.add_edge(activation_node_1, linear_node_2) + pattern.add_edge(linear_node_2, activation_node_2) + pattern.add_edge(activation_node_2, multiply_node) + pattern.add_edge(any_node, multiply_node) + return pattern + + def get_se_block_with_bias_pattern() -> GraphPattern: + pattern = GraphPattern() + any_node = pattern.add_node(label="ANY", type=GraphPattern.NON_PATTERN_NODE_TYPE) + reduce_mean_node = pattern.add_node(**MEAN_OPERATIONS) + linear_node_1 = pattern.add_node(**LINEAR_OPERATIONS) + add_node_1 = pattern.add_node(label="ADD_BIAS", type=["__add__", "__sub__"]) + activation_node_1 = pattern.add_node(**ATOMIC_ACTIVATIONS_OPERATIONS) + linear_node_2 = pattern.add_node(**LINEAR_OPERATIONS) + add_node_2 = pattern.add_node(label="ADD_BIAS", type=["__add__", "__sub__"]) + activation_node_2 = pattern.add_node(**SYGMOID_OPERATIONS) + multiply_node = pattern.add_node(label="MUL", type="__mul__") + + pattern.add_edge(any_node, reduce_mean_node) + pattern.add_edge(reduce_mean_node, linear_node_1) + pattern.add_edge(linear_node_1, add_node_1) + pattern.add_edge(add_node_1, activation_node_1) + pattern.add_edge(activation_node_1, linear_node_2) + pattern.add_edge(linear_node_2, add_node_2) + pattern.add_edge(add_node_2, activation_node_2) + pattern.add_edge(activation_node_2, multiply_node) + pattern.add_edge(any_node, multiply_node) + return pattern + + RESHAPE_NODES = { + GraphPattern.LABEL_ATTR: "RESHAPE", + GraphPattern.METATYPE_ATTR: ["reshape", "view", "flatten", "unsqueeze"], + } + + def get_se_block_with_reshape() -> GraphPattern: + pattern = GraphPattern() + any_node = pattern.add_node(label="ANY", type=GraphPattern.NON_PATTERN_NODE_TYPE) + reduce_mean_node = pattern.add_node(**MEAN_OPERATIONS) + reshape_node_1 = pattern.add_node(**RESHAPE_NODES) + linear_node_1 = pattern.add_node(**LINEAR_OPERATIONS) + activation_node_1 = pattern.add_node(**ATOMIC_ACTIVATIONS_OPERATIONS) + linear_node_2 = pattern.add_node(**LINEAR_OPERATIONS) + activation_node_2 = pattern.add_node(**SYGMOID_OPERATIONS) + reshape_node_2 = pattern.add_node(**RESHAPE_NODES) + multiply_node = pattern.add_node(label="MUL", type="__mul__") + + pattern.add_edge(any_node, reduce_mean_node) + pattern.add_edge(reduce_mean_node, reshape_node_1) + pattern.add_edge(reshape_node_1, linear_node_1) + pattern.add_edge(linear_node_1, activation_node_1) + pattern.add_edge(activation_node_1, linear_node_2) + pattern.add_edge(linear_node_2, activation_node_2) + pattern.add_edge(activation_node_2, reshape_node_2) + pattern.add_edge(reshape_node_2, multiply_node) + pattern.add_edge(any_node, multiply_node) + return pattern + + def get_se_block_with_bias_and_reshape() -> GraphPattern: + pattern = GraphPattern() + any_node = pattern.add_node(label="ANY", type=GraphPattern.NON_PATTERN_NODE_TYPE) + reduce_mean_node = pattern.add_node(**MEAN_OPERATIONS) + reshape_node_1 = pattern.add_node(**RESHAPE_NODES) + linear_node_1 = pattern.add_node(**LINEAR_OPERATIONS) + add_node_1 = pattern.add_node(label="ADD_BIAS", type=["__add__", "__sub__"]) + activation_node_1 = pattern.add_node(**ATOMIC_ACTIVATIONS_OPERATIONS) + linear_node_2 = pattern.add_node(**LINEAR_OPERATIONS) + add_node_2 = pattern.add_node(label="ADD_BIAS", type=["__add__", "__sub__"]) + activation_node_2 = pattern.add_node(**SYGMOID_OPERATIONS) + reshape_node_2 = pattern.add_node(**RESHAPE_NODES) + multiply_node = pattern.add_node(label="MUL", type="__mul__") + + pattern.add_edge(any_node, reduce_mean_node) + pattern.add_edge(reduce_mean_node, reshape_node_1) + pattern.add_edge(reshape_node_1, linear_node_1) + pattern.add_edge(linear_node_1, add_node_1) + pattern.add_edge(add_node_1, activation_node_1) + pattern.add_edge(activation_node_1, linear_node_2) + pattern.add_edge(linear_node_2, add_node_2) + pattern.add_edge(add_node_2, activation_node_2) + pattern.add_edge(activation_node_2, reshape_node_2) + pattern.add_edge(reshape_node_2, multiply_node) + pattern.add_edge(any_node, multiply_node) + return pattern + + main_pattern = GraphPattern() + main_pattern.add_pattern_alternative(get_se_block_pattern()) + main_pattern.add_pattern_alternative(get_se_block_with_bias_pattern()) + main_pattern.add_pattern_alternative(get_se_block_with_reshape()) + main_pattern.add_pattern_alternative(get_se_block_with_bias_and_reshape()) + return main_pattern diff --git a/tests/common/test_pattern_manager.py b/tests/common/test_pattern_manager.py index f0205b9c2b9..3b05edafc8f 100644 --- a/tests/common/test_pattern_manager.py +++ b/tests/common/test_pattern_manager.py @@ -12,7 +12,6 @@ from enum import Enum from nncf.common.graph.patterns.manager import PatternsManager -from nncf.common.graph.patterns.patterns import AlgorithmType from nncf.common.graph.patterns.patterns import PatternDesc from nncf.common.utils.registry import Registry from nncf.parameters import ModelType @@ -38,7 +37,7 @@ class DevicePatterns(Enum): def test_pattern_filter_device(): manager = PatternsManager() filtered_patterns = manager._filter_patterns( - TEST_DEVICE_PATTERN_REGISTRY.registry_dict, device=TargetDevice.CPU, model_type=None, algorithm=None + TEST_DEVICE_PATTERN_REGISTRY.registry_dict, device=TargetDevice.CPU, model_type=None ) assert len(filtered_patterns) == 2 assert DevicePatterns.CPU_PATTERN in filtered_patterns @@ -60,56 +59,14 @@ class ModelTypePatterns(Enum): def test_pattern_filter_model_type(): manager = PatternsManager() filtered_patterns = manager._filter_patterns( - TEST_MODEL_TYPE_PATTERN_REGISTRY.registry_dict, device=None, model_type=None, algorithm=None + TEST_MODEL_TYPE_PATTERN_REGISTRY.registry_dict, device=None, model_type=None ) assert len(filtered_patterns) == 1 assert ModelTypePatterns.COMMON_PATTERN in filtered_patterns filtered_patterns = manager._filter_patterns( - TEST_MODEL_TYPE_PATTERN_REGISTRY.registry_dict, device=None, model_type=ModelType.TRANSFORMER, algorithm=None + TEST_MODEL_TYPE_PATTERN_REGISTRY.registry_dict, device=None, model_type=ModelType.TRANSFORMER ) assert len(filtered_patterns) == 2 assert ModelTypePatterns.COMMON_PATTERN in filtered_patterns assert ModelTypePatterns.TRANSFORMER_PATTERN in filtered_patterns - - -class AlgorithmTypePatterns(Enum): - QUANTIZATION_PATTERN = PatternDesc("QUANTIZATION_PATTERN", ignored_algorithms=[AlgorithmType.NAS]) - NAS_PATTERN = PatternDesc("NAS_PATTERN", ignored_algorithms=[AlgorithmType.QUANTIZATION]) - COMMON_PATTERN = PatternDesc("COMMON_PATTERN") - IGNORED_BY_BOTH = PatternDesc("IGNORED_BY_BOTH", ignored_algorithms=[AlgorithmType.QUANTIZATION, AlgorithmType.NAS]) - - -TEST_ALGORITHM_TYPE_PATTERN_REGISTRY = Registry("TEST_PATTERNS_REGISTRY") - - -TEST_ALGORITHM_TYPE_PATTERN_REGISTRY.register(AlgorithmTypePatterns.QUANTIZATION_PATTERN)(None) -TEST_ALGORITHM_TYPE_PATTERN_REGISTRY.register(AlgorithmTypePatterns.NAS_PATTERN)(None) -TEST_ALGORITHM_TYPE_PATTERN_REGISTRY.register(AlgorithmTypePatterns.COMMON_PATTERN)(None) -TEST_ALGORITHM_TYPE_PATTERN_REGISTRY.register(AlgorithmTypePatterns.IGNORED_BY_BOTH)(None) - - -def test_pattern_filter_ignored_algorithm(): - manager = PatternsManager() - filtered_patterns = manager._filter_patterns( - TEST_ALGORITHM_TYPE_PATTERN_REGISTRY.registry_dict, device=None, model_type=None, algorithm=None - ) - assert len(filtered_patterns) == 4 - assert all(pattern in filtered_patterns for pattern in AlgorithmTypePatterns) - - filtered_patterns = manager._filter_patterns( - TEST_ALGORITHM_TYPE_PATTERN_REGISTRY.registry_dict, - device=None, - model_type=None, - algorithm=AlgorithmType.QUANTIZATION, - ) - assert len(filtered_patterns) == 2 - assert AlgorithmTypePatterns.QUANTIZATION_PATTERN in filtered_patterns - assert AlgorithmTypePatterns.COMMON_PATTERN in filtered_patterns - - filtered_patterns = manager._filter_patterns( - TEST_ALGORITHM_TYPE_PATTERN_REGISTRY.registry_dict, device=None, model_type=None, algorithm=AlgorithmType.NAS - ) - assert len(filtered_patterns) == 2 - assert AlgorithmTypePatterns.NAS_PATTERN in filtered_patterns - assert AlgorithmTypePatterns.COMMON_PATTERN in filtered_patterns diff --git a/tests/onnx/test_pattern_manager.py b/tests/onnx/test_pattern_manager.py index 379b0a13df0..04111891de9 100644 --- a/tests/onnx/test_pattern_manager.py +++ b/tests/onnx/test_pattern_manager.py @@ -24,7 +24,6 @@ HWFusedPatternNames.MVN_SCALE_SHIFT: "Not relevant for ONNX.", HWFusedPatternNames.NORMALIZE_L2_MULTIPLY: "Not relevant for ONNX.", HWFusedPatternNames.LINEAR_WITH_BIAS: "Linear layers contains biases in ONNX.", - HWFusedPatternNames.SE_BLOCK: "Not relevant for ONNX.", HWFusedPatternNames.SOFTMAX_DIV: "Not relevant for ONNX.", HWFusedPatternNames.HSWISH_ACTIVATION_V2: "Is already covered by HSWISH_ACTIVATION for ONNX.", HWFusedPatternNames.SOFTMAX: "Not relevant for ONNX.", @@ -52,6 +51,7 @@ IGNORING_IGNORED_PATTERN_REASONS = { IgnoredPatternNames.FC_BN_HSWISH_ACTIVATION: "Not relevant for ONNX.", IgnoredPatternNames.EQUAL_LOGICALNOT: "Not relevant for ONNX.", + IgnoredPatternNames.SE_BLOCK: "Not relevant for ONNX.", } diff --git a/tests/torch/data/reference_graphs/quantized/asymmetric/mobilenet_v3_small.dot b/tests/torch/data/reference_graphs/quantized/asymmetric/mobilenet_v3_small.dot index e73b13380e3..b6065127468 100644 --- 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MobileNetV3/Sequential[features]/InvertedResidual[9]/Sequential[block]/ConvBNActivation[3]/NNCFBatchNorm2d[1]/AsymmetricQuantizer/asymmetric_quantize_0"; +"219 MobileNetV3/Sequential[features]/InvertedResidual[9]/Sequential[block]/ConvBNActivation[3]/NNCFBatchNorm2d[1]/AsymmetricQuantizer/asymmetric_quantize_0" -> "221 MobileNetV3/Sequential[features]/InvertedResidual[10]/Sequential[block]/ConvBNActivation[0]/NNCFConv2d[0]/conv2d_0"; +"219 MobileNetV3/Sequential[features]/InvertedResidual[9]/Sequential[block]/ConvBNActivation[3]/NNCFBatchNorm2d[1]/AsymmetricQuantizer/asymmetric_quantize_0" -> "246 MobileNetV3/Sequential[features]/InvertedResidual[10]/__iadd___0"; +"220 MobileNetV3/Sequential[features]/InvertedResidual[10]/Sequential[block]/ConvBNActivation[0]/NNCFConv2d[0]/ModuleDict[pre_ops]/UpdateWeight[0]/AsymmetricQuantizer[op]/asymmetric_quantize_0" -> "221 MobileNetV3/Sequential[features]/InvertedResidual[10]/Sequential[block]/ConvBNActivation[0]/NNCFConv2d[0]/conv2d_0"; +"221 MobileNetV3/Sequential[features]/InvertedResidual[10]/Sequential[block]/ConvBNActivation[0]/NNCFConv2d[0]/conv2d_0" -> "222 MobileNetV3/Sequential[features]/InvertedResidual[10]/Sequential[block]/ConvBNActivation[0]/NNCFBatchNorm2d[1]/batch_norm_0"; +"222 MobileNetV3/Sequential[features]/InvertedResidual[10]/Sequential[block]/ConvBNActivation[0]/NNCFBatchNorm2d[1]/batch_norm_0" -> "223 MobileNetV3/Sequential[features]/InvertedResidual[10]/Sequential[block]/ConvBNActivation[0]/Hardswish[2]/hardswish_0"; +"223 MobileNetV3/Sequential[features]/InvertedResidual[10]/Sequential[block]/ConvBNActivation[0]/Hardswish[2]/hardswish_0" -> "224 MobileNetV3/Sequential[features]/InvertedResidual[10]/Sequential[block]/ConvBNActivation[0]/Hardswish[2]/AsymmetricQuantizer/asymmetric_quantize_0"; +"224 MobileNetV3/Sequential[features]/InvertedResidual[10]/Sequential[block]/ConvBNActivation[0]/Hardswish[2]/AsymmetricQuantizer/asymmetric_quantize_0" -> "226 MobileNetV3/Sequential[features]/InvertedResidual[10]/Sequential[block]/ConvBNActivation[1]/NNCFConv2d[0]/conv2d_0"; +"225 MobileNetV3/Sequential[features]/InvertedResidual[10]/Sequential[block]/ConvBNActivation[1]/NNCFConv2d[0]/ModuleDict[pre_ops]/UpdateWeight[0]/AsymmetricQuantizer[op]/asymmetric_quantize_0" -> "226 MobileNetV3/Sequential[features]/InvertedResidual[10]/Sequential[block]/ConvBNActivation[1]/NNCFConv2d[0]/conv2d_0"; +"226 MobileNetV3/Sequential[features]/InvertedResidual[10]/Sequential[block]/ConvBNActivation[1]/NNCFConv2d[0]/conv2d_0" -> "227 MobileNetV3/Sequential[features]/InvertedResidual[10]/Sequential[block]/ConvBNActivation[1]/NNCFBatchNorm2d[1]/batch_norm_0"; +"227 MobileNetV3/Sequential[features]/InvertedResidual[10]/Sequential[block]/ConvBNActivation[1]/NNCFBatchNorm2d[1]/batch_norm_0" -> "228 MobileNetV3/Sequential[features]/InvertedResidual[10]/Sequential[block]/ConvBNActivation[1]/Hardswish[2]/hardswish_0"; +"228 MobileNetV3/Sequential[features]/InvertedResidual[10]/Sequential[block]/ConvBNActivation[1]/Hardswish[2]/hardswish_0" -> "229 MobileNetV3/Sequential[features]/InvertedResidual[10]/Sequential[block]/ConvBNActivation[1]/Hardswish[2]/AsymmetricQuantizer/asymmetric_quantize_0"; +"229 MobileNetV3/Sequential[features]/InvertedResidual[10]/Sequential[block]/ConvBNActivation[1]/Hardswish[2]/AsymmetricQuantizer/asymmetric_quantize_0" -> "230 MobileNetV3/Sequential[features]/InvertedResidual[10]/Sequential[block]/SqueezeExcitation[2]/adaptive_avg_pool2d_0"; +"229 MobileNetV3/Sequential[features]/InvertedResidual[10]/Sequential[block]/ConvBNActivation[1]/Hardswish[2]/AsymmetricQuantizer/asymmetric_quantize_0" -> "240 MobileNetV3/Sequential[features]/InvertedResidual[10]/Sequential[block]/SqueezeExcitation[2]/__mul___0"; +"230 MobileNetV3/Sequential[features]/InvertedResidual[10]/Sequential[block]/SqueezeExcitation[2]/adaptive_avg_pool2d_0" -> "231 MobileNetV3/Sequential[features]/InvertedResidual[10]/Sequential[block]/SqueezeExcitation[2]/AsymmetricQuantizer/asymmetric_quantize_0"; +"231 MobileNetV3/Sequential[features]/InvertedResidual[10]/Sequential[block]/SqueezeExcitation[2]/AsymmetricQuantizer/asymmetric_quantize_0" -> "233 MobileNetV3/Sequential[features]/InvertedResidual[10]/Sequential[block]/SqueezeExcitation[2]/NNCFConv2d[fc1]/conv2d_0"; +"232 MobileNetV3/Sequential[features]/InvertedResidual[10]/Sequential[block]/SqueezeExcitation[2]/NNCFConv2d[fc1]/ModuleDict[pre_ops]/UpdateWeight[0]/AsymmetricQuantizer[op]/asymmetric_quantize_0" -> "233 MobileNetV3/Sequential[features]/InvertedResidual[10]/Sequential[block]/SqueezeExcitation[2]/NNCFConv2d[fc1]/conv2d_0"; +"233 MobileNetV3/Sequential[features]/InvertedResidual[10]/Sequential[block]/SqueezeExcitation[2]/NNCFConv2d[fc1]/conv2d_0" -> "234 MobileNetV3/Sequential[features]/InvertedResidual[10]/Sequential[block]/SqueezeExcitation[2]/ReLU[relu]/relu__0"; +"234 MobileNetV3/Sequential[features]/InvertedResidual[10]/Sequential[block]/SqueezeExcitation[2]/ReLU[relu]/relu__0" -> "235 MobileNetV3/Sequential[features]/InvertedResidual[10]/Sequential[block]/SqueezeExcitation[2]/ReLU[relu]/AsymmetricQuantizer/asymmetric_quantize_0"; +"235 MobileNetV3/Sequential[features]/InvertedResidual[10]/Sequential[block]/SqueezeExcitation[2]/ReLU[relu]/AsymmetricQuantizer/asymmetric_quantize_0" -> "237 MobileNetV3/Sequential[features]/InvertedResidual[10]/Sequential[block]/SqueezeExcitation[2]/NNCFConv2d[fc2]/conv2d_0"; +"236 MobileNetV3/Sequential[features]/InvertedResidual[10]/Sequential[block]/SqueezeExcitation[2]/NNCFConv2d[fc2]/ModuleDict[pre_ops]/UpdateWeight[0]/AsymmetricQuantizer[op]/asymmetric_quantize_0" -> "237 MobileNetV3/Sequential[features]/InvertedResidual[10]/Sequential[block]/SqueezeExcitation[2]/NNCFConv2d[fc2]/conv2d_0"; +"237 MobileNetV3/Sequential[features]/InvertedResidual[10]/Sequential[block]/SqueezeExcitation[2]/NNCFConv2d[fc2]/conv2d_0" -> "238 MobileNetV3/Sequential[features]/InvertedResidual[10]/Sequential[block]/SqueezeExcitation[2]/hardsigmoid_0"; +"238 MobileNetV3/Sequential[features]/InvertedResidual[10]/Sequential[block]/SqueezeExcitation[2]/hardsigmoid_0" -> "239 MobileNetV3/Sequential[features]/InvertedResidual[10]/Sequential[block]/SqueezeExcitation[2]/AsymmetricQuantizer/asymmetric_quantize_1"; +"239 MobileNetV3/Sequential[features]/InvertedResidual[10]/Sequential[block]/SqueezeExcitation[2]/AsymmetricQuantizer/asymmetric_quantize_1" -> "240 MobileNetV3/Sequential[features]/InvertedResidual[10]/Sequential[block]/SqueezeExcitation[2]/__mul___0"; +"240 MobileNetV3/Sequential[features]/InvertedResidual[10]/Sequential[block]/SqueezeExcitation[2]/__mul___0" -> "241 MobileNetV3/Sequential[features]/InvertedResidual[10]/Sequential[block]/SqueezeExcitation[2]/AsymmetricQuantizer/asymmetric_quantize_2"; +"241 MobileNetV3/Sequential[features]/InvertedResidual[10]/Sequential[block]/SqueezeExcitation[2]/AsymmetricQuantizer/asymmetric_quantize_2" -> "243 MobileNetV3/Sequential[features]/InvertedResidual[10]/Sequential[block]/ConvBNActivation[3]/NNCFConv2d[0]/conv2d_0"; +"242 MobileNetV3/Sequential[features]/InvertedResidual[10]/Sequential[block]/ConvBNActivation[3]/NNCFConv2d[0]/ModuleDict[pre_ops]/UpdateWeight[0]/AsymmetricQuantizer[op]/asymmetric_quantize_0" -> "243 MobileNetV3/Sequential[features]/InvertedResidual[10]/Sequential[block]/ConvBNActivation[3]/NNCFConv2d[0]/conv2d_0"; +"243 MobileNetV3/Sequential[features]/InvertedResidual[10]/Sequential[block]/ConvBNActivation[3]/NNCFConv2d[0]/conv2d_0" -> "244 MobileNetV3/Sequential[features]/InvertedResidual[10]/Sequential[block]/ConvBNActivation[3]/NNCFBatchNorm2d[1]/batch_norm_0"; +"244 MobileNetV3/Sequential[features]/InvertedResidual[10]/Sequential[block]/ConvBNActivation[3]/NNCFBatchNorm2d[1]/batch_norm_0" -> "245 MobileNetV3/Sequential[features]/InvertedResidual[10]/Sequential[block]/ConvBNActivation[3]/NNCFBatchNorm2d[1]/AsymmetricQuantizer/asymmetric_quantize_0"; +"245 MobileNetV3/Sequential[features]/InvertedResidual[10]/Sequential[block]/ConvBNActivation[3]/NNCFBatchNorm2d[1]/AsymmetricQuantizer/asymmetric_quantize_0" -> "246 MobileNetV3/Sequential[features]/InvertedResidual[10]/__iadd___0"; +"246 MobileNetV3/Sequential[features]/InvertedResidual[10]/__iadd___0" -> "247 MobileNetV3/Sequential[features]/InvertedResidual[10]/AsymmetricQuantizer/asymmetric_quantize_0"; +"247 MobileNetV3/Sequential[features]/InvertedResidual[10]/AsymmetricQuantizer/asymmetric_quantize_0" -> "249 MobileNetV3/Sequential[features]/InvertedResidual[11]/Sequential[block]/ConvBNActivation[0]/NNCFConv2d[0]/conv2d_0"; +"247 MobileNetV3/Sequential[features]/InvertedResidual[10]/AsymmetricQuantizer/asymmetric_quantize_0" -> "274 MobileNetV3/Sequential[features]/InvertedResidual[11]/__iadd___0"; +"248 MobileNetV3/Sequential[features]/InvertedResidual[11]/Sequential[block]/ConvBNActivation[0]/NNCFConv2d[0]/ModuleDict[pre_ops]/UpdateWeight[0]/AsymmetricQuantizer[op]/asymmetric_quantize_0" -> "249 MobileNetV3/Sequential[features]/InvertedResidual[11]/Sequential[block]/ConvBNActivation[0]/NNCFConv2d[0]/conv2d_0"; +"249 MobileNetV3/Sequential[features]/InvertedResidual[11]/Sequential[block]/ConvBNActivation[0]/NNCFConv2d[0]/conv2d_0" -> "250 MobileNetV3/Sequential[features]/InvertedResidual[11]/Sequential[block]/ConvBNActivation[0]/NNCFBatchNorm2d[1]/batch_norm_0"; +"250 MobileNetV3/Sequential[features]/InvertedResidual[11]/Sequential[block]/ConvBNActivation[0]/NNCFBatchNorm2d[1]/batch_norm_0" -> "251 MobileNetV3/Sequential[features]/InvertedResidual[11]/Sequential[block]/ConvBNActivation[0]/Hardswish[2]/hardswish_0"; +"251 MobileNetV3/Sequential[features]/InvertedResidual[11]/Sequential[block]/ConvBNActivation[0]/Hardswish[2]/hardswish_0" -> "252 MobileNetV3/Sequential[features]/InvertedResidual[11]/Sequential[block]/ConvBNActivation[0]/Hardswish[2]/AsymmetricQuantizer/asymmetric_quantize_0"; +"252 MobileNetV3/Sequential[features]/InvertedResidual[11]/Sequential[block]/ConvBNActivation[0]/Hardswish[2]/AsymmetricQuantizer/asymmetric_quantize_0" -> "254 MobileNetV3/Sequential[features]/InvertedResidual[11]/Sequential[block]/ConvBNActivation[1]/NNCFConv2d[0]/conv2d_0"; +"253 MobileNetV3/Sequential[features]/InvertedResidual[11]/Sequential[block]/ConvBNActivation[1]/NNCFConv2d[0]/ModuleDict[pre_ops]/UpdateWeight[0]/AsymmetricQuantizer[op]/asymmetric_quantize_0" -> "254 MobileNetV3/Sequential[features]/InvertedResidual[11]/Sequential[block]/ConvBNActivation[1]/NNCFConv2d[0]/conv2d_0"; +"254 MobileNetV3/Sequential[features]/InvertedResidual[11]/Sequential[block]/ConvBNActivation[1]/NNCFConv2d[0]/conv2d_0" -> "255 MobileNetV3/Sequential[features]/InvertedResidual[11]/Sequential[block]/ConvBNActivation[1]/NNCFBatchNorm2d[1]/batch_norm_0"; +"255 MobileNetV3/Sequential[features]/InvertedResidual[11]/Sequential[block]/ConvBNActivation[1]/NNCFBatchNorm2d[1]/batch_norm_0" -> "256 MobileNetV3/Sequential[features]/InvertedResidual[11]/Sequential[block]/ConvBNActivation[1]/Hardswish[2]/hardswish_0"; +"256 MobileNetV3/Sequential[features]/InvertedResidual[11]/Sequential[block]/ConvBNActivation[1]/Hardswish[2]/hardswish_0" -> "257 MobileNetV3/Sequential[features]/InvertedResidual[11]/Sequential[block]/ConvBNActivation[1]/Hardswish[2]/AsymmetricQuantizer/asymmetric_quantize_0"; +"257 MobileNetV3/Sequential[features]/InvertedResidual[11]/Sequential[block]/ConvBNActivation[1]/Hardswish[2]/AsymmetricQuantizer/asymmetric_quantize_0" -> "258 MobileNetV3/Sequential[features]/InvertedResidual[11]/Sequential[block]/SqueezeExcitation[2]/adaptive_avg_pool2d_0"; +"257 MobileNetV3/Sequential[features]/InvertedResidual[11]/Sequential[block]/ConvBNActivation[1]/Hardswish[2]/AsymmetricQuantizer/asymmetric_quantize_0" -> "268 MobileNetV3/Sequential[features]/InvertedResidual[11]/Sequential[block]/SqueezeExcitation[2]/__mul___0"; +"258 MobileNetV3/Sequential[features]/InvertedResidual[11]/Sequential[block]/SqueezeExcitation[2]/adaptive_avg_pool2d_0" -> "259 MobileNetV3/Sequential[features]/InvertedResidual[11]/Sequential[block]/SqueezeExcitation[2]/AsymmetricQuantizer/asymmetric_quantize_0"; +"259 MobileNetV3/Sequential[features]/InvertedResidual[11]/Sequential[block]/SqueezeExcitation[2]/AsymmetricQuantizer/asymmetric_quantize_0" -> "261 MobileNetV3/Sequential[features]/InvertedResidual[11]/Sequential[block]/SqueezeExcitation[2]/NNCFConv2d[fc1]/conv2d_0"; +"260 MobileNetV3/Sequential[features]/InvertedResidual[11]/Sequential[block]/SqueezeExcitation[2]/NNCFConv2d[fc1]/ModuleDict[pre_ops]/UpdateWeight[0]/AsymmetricQuantizer[op]/asymmetric_quantize_0" -> "261 MobileNetV3/Sequential[features]/InvertedResidual[11]/Sequential[block]/SqueezeExcitation[2]/NNCFConv2d[fc1]/conv2d_0"; +"261 MobileNetV3/Sequential[features]/InvertedResidual[11]/Sequential[block]/SqueezeExcitation[2]/NNCFConv2d[fc1]/conv2d_0" -> "262 MobileNetV3/Sequential[features]/InvertedResidual[11]/Sequential[block]/SqueezeExcitation[2]/ReLU[relu]/relu__0"; +"262 MobileNetV3/Sequential[features]/InvertedResidual[11]/Sequential[block]/SqueezeExcitation[2]/ReLU[relu]/relu__0" -> "263 MobileNetV3/Sequential[features]/InvertedResidual[11]/Sequential[block]/SqueezeExcitation[2]/ReLU[relu]/AsymmetricQuantizer/asymmetric_quantize_0"; +"263 MobileNetV3/Sequential[features]/InvertedResidual[11]/Sequential[block]/SqueezeExcitation[2]/ReLU[relu]/AsymmetricQuantizer/asymmetric_quantize_0" -> "265 MobileNetV3/Sequential[features]/InvertedResidual[11]/Sequential[block]/SqueezeExcitation[2]/NNCFConv2d[fc2]/conv2d_0"; +"264 MobileNetV3/Sequential[features]/InvertedResidual[11]/Sequential[block]/SqueezeExcitation[2]/NNCFConv2d[fc2]/ModuleDict[pre_ops]/UpdateWeight[0]/AsymmetricQuantizer[op]/asymmetric_quantize_0" -> "265 MobileNetV3/Sequential[features]/InvertedResidual[11]/Sequential[block]/SqueezeExcitation[2]/NNCFConv2d[fc2]/conv2d_0"; +"265 MobileNetV3/Sequential[features]/InvertedResidual[11]/Sequential[block]/SqueezeExcitation[2]/NNCFConv2d[fc2]/conv2d_0" -> "266 MobileNetV3/Sequential[features]/InvertedResidual[11]/Sequential[block]/SqueezeExcitation[2]/hardsigmoid_0"; +"266 MobileNetV3/Sequential[features]/InvertedResidual[11]/Sequential[block]/SqueezeExcitation[2]/hardsigmoid_0" -> "267 MobileNetV3/Sequential[features]/InvertedResidual[11]/Sequential[block]/SqueezeExcitation[2]/AsymmetricQuantizer/asymmetric_quantize_1"; +"267 MobileNetV3/Sequential[features]/InvertedResidual[11]/Sequential[block]/SqueezeExcitation[2]/AsymmetricQuantizer/asymmetric_quantize_1" -> "268 MobileNetV3/Sequential[features]/InvertedResidual[11]/Sequential[block]/SqueezeExcitation[2]/__mul___0"; +"268 MobileNetV3/Sequential[features]/InvertedResidual[11]/Sequential[block]/SqueezeExcitation[2]/__mul___0" -> "269 MobileNetV3/Sequential[features]/InvertedResidual[11]/Sequential[block]/SqueezeExcitation[2]/AsymmetricQuantizer/asymmetric_quantize_2"; +"269 MobileNetV3/Sequential[features]/InvertedResidual[11]/Sequential[block]/SqueezeExcitation[2]/AsymmetricQuantizer/asymmetric_quantize_2" -> "271 MobileNetV3/Sequential[features]/InvertedResidual[11]/Sequential[block]/ConvBNActivation[3]/NNCFConv2d[0]/conv2d_0"; +"270 MobileNetV3/Sequential[features]/InvertedResidual[11]/Sequential[block]/ConvBNActivation[3]/NNCFConv2d[0]/ModuleDict[pre_ops]/UpdateWeight[0]/AsymmetricQuantizer[op]/asymmetric_quantize_0" -> "271 MobileNetV3/Sequential[features]/InvertedResidual[11]/Sequential[block]/ConvBNActivation[3]/NNCFConv2d[0]/conv2d_0"; +"271 MobileNetV3/Sequential[features]/InvertedResidual[11]/Sequential[block]/ConvBNActivation[3]/NNCFConv2d[0]/conv2d_0" -> "272 MobileNetV3/Sequential[features]/InvertedResidual[11]/Sequential[block]/ConvBNActivation[3]/NNCFBatchNorm2d[1]/batch_norm_0"; +"272 MobileNetV3/Sequential[features]/InvertedResidual[11]/Sequential[block]/ConvBNActivation[3]/NNCFBatchNorm2d[1]/batch_norm_0" -> "273 MobileNetV3/Sequential[features]/InvertedResidual[11]/Sequential[block]/ConvBNActivation[3]/NNCFBatchNorm2d[1]/AsymmetricQuantizer/asymmetric_quantize_0"; +"273 MobileNetV3/Sequential[features]/InvertedResidual[11]/Sequential[block]/ConvBNActivation[3]/NNCFBatchNorm2d[1]/AsymmetricQuantizer/asymmetric_quantize_0" -> "274 MobileNetV3/Sequential[features]/InvertedResidual[11]/__iadd___0"; +"274 MobileNetV3/Sequential[features]/InvertedResidual[11]/__iadd___0" -> "275 MobileNetV3/Sequential[features]/InvertedResidual[11]/AsymmetricQuantizer/asymmetric_quantize_0"; +"275 MobileNetV3/Sequential[features]/InvertedResidual[11]/AsymmetricQuantizer/asymmetric_quantize_0" -> "277 MobileNetV3/Sequential[features]/ConvBNActivation[12]/NNCFConv2d[0]/conv2d_0"; +"276 MobileNetV3/Sequential[features]/ConvBNActivation[12]/NNCFConv2d[0]/ModuleDict[pre_ops]/UpdateWeight[0]/AsymmetricQuantizer[op]/asymmetric_quantize_0" -> "277 MobileNetV3/Sequential[features]/ConvBNActivation[12]/NNCFConv2d[0]/conv2d_0"; +"277 MobileNetV3/Sequential[features]/ConvBNActivation[12]/NNCFConv2d[0]/conv2d_0" -> "278 MobileNetV3/Sequential[features]/ConvBNActivation[12]/NNCFBatchNorm2d[1]/batch_norm_0"; +"278 MobileNetV3/Sequential[features]/ConvBNActivation[12]/NNCFBatchNorm2d[1]/batch_norm_0" -> "279 MobileNetV3/Sequential[features]/ConvBNActivation[12]/Hardswish[2]/hardswish_0"; +"279 MobileNetV3/Sequential[features]/ConvBNActivation[12]/Hardswish[2]/hardswish_0" -> "280 MobileNetV3/Sequential[features]/ConvBNActivation[12]/Hardswish[2]/AsymmetricQuantizer/asymmetric_quantize_0"; +"280 MobileNetV3/Sequential[features]/ConvBNActivation[12]/Hardswish[2]/AsymmetricQuantizer/asymmetric_quantize_0" -> "281 MobileNetV3/AdaptiveAvgPool2d[avgpool]/adaptive_avg_pool2d_0"; +"281 MobileNetV3/AdaptiveAvgPool2d[avgpool]/adaptive_avg_pool2d_0" -> "282 MobileNetV3/AdaptiveAvgPool2d[avgpool]/AsymmetricQuantizer/asymmetric_quantize_0"; +"282 MobileNetV3/AdaptiveAvgPool2d[avgpool]/AsymmetricQuantizer/asymmetric_quantize_0" -> "283 MobileNetV3/flatten_0"; +"283 MobileNetV3/flatten_0" -> "285 MobileNetV3/Sequential[classifier]/NNCFLinear[0]/linear_0"; +"284 MobileNetV3/Sequential[classifier]/NNCFLinear[0]/ModuleDict[pre_ops]/UpdateWeight[0]/AsymmetricQuantizer[op]/asymmetric_quantize_0" -> "285 MobileNetV3/Sequential[classifier]/NNCFLinear[0]/linear_0"; +"285 MobileNetV3/Sequential[classifier]/NNCFLinear[0]/linear_0" -> "286 MobileNetV3/Sequential[classifier]/Hardswish[1]/hardswish_0"; +"286 MobileNetV3/Sequential[classifier]/Hardswish[1]/hardswish_0" -> "287 MobileNetV3/Sequential[classifier]/Hardswish[1]/AsymmetricQuantizer/asymmetric_quantize_0"; +"287 MobileNetV3/Sequential[classifier]/Hardswish[1]/AsymmetricQuantizer/asymmetric_quantize_0" -> "288 MobileNetV3/Sequential[classifier]/Dropout[2]/dropout_0"; +"288 MobileNetV3/Sequential[classifier]/Dropout[2]/dropout_0" -> "290 MobileNetV3/Sequential[classifier]/NNCFLinear[3]/linear_0"; +"289 MobileNetV3/Sequential[classifier]/NNCFLinear[3]/ModuleDict[pre_ops]/UpdateWeight[0]/AsymmetricQuantizer[op]/asymmetric_quantize_0" -> "290 MobileNetV3/Sequential[classifier]/NNCFLinear[3]/linear_0"; +"290 MobileNetV3/Sequential[classifier]/NNCFLinear[3]/linear_0" -> "291 /nncf_model_output_0"; } diff --git a/tests/torch/data/reference_graphs/quantized/asymmetric/senet18.dot b/tests/torch/data/reference_graphs/quantized/asymmetric/senet18.dot index 9848f13f683..a33419088f0 100644 --- a/tests/torch/data/reference_graphs/quantized/asymmetric/senet18.dot +++ b/tests/torch/data/reference_graphs/quantized/asymmetric/senet18.dot @@ -18,166 +18,206 @@ strict digraph { "16 SENet/Sequential[layer1]/PreActBlock[0]/NNCFConv2d[conv2]/conv2d_0" [id=16, type=conv2d]; "17 SENet/Sequential[layer1]/PreActBlock[0]/NNCFConv2d[conv2]/AsymmetricQuantizer/asymmetric_quantize_0" [id=17, type=asymmetric_quantize]; "18 SENet/Sequential[layer1]/PreActBlock[0]/avg_pool2d_0" [id=18, type=avg_pool2d]; -"19 SENet/Sequential[layer1]/PreActBlock[0]/NNCFConv2d[fc1]/conv2d_0" [id=19, type=conv2d]; -"20 SENet/Sequential[layer1]/PreActBlock[0]/relu_2" [id=20, type=relu]; -"21 SENet/Sequential[layer1]/PreActBlock[0]/NNCFConv2d[fc2]/conv2d_0" [id=21, type=conv2d]; -"22 SENet/Sequential[layer1]/PreActBlock[0]/sigmoid_0" [id=22, type=sigmoid]; -"23 SENet/Sequential[layer1]/PreActBlock[0]/__mul___0" [id=23, type=__mul__]; -"24 SENet/Sequential[layer1]/PreActBlock[0]/AsymmetricQuantizer/asymmetric_quantize_2" [id=24, type=asymmetric_quantize]; -"25 SENet/Sequential[layer1]/PreActBlock[0]/__iadd___0" [id=25, type=__iadd__]; -"26 SENet/Sequential[layer1]/PreActBlock[0]/AsymmetricQuantizer/asymmetric_quantize_3" [id=26, type=asymmetric_quantize]; -"27 SENet/Sequential[layer1]/PreActBlock[1]/NNCFBatchNorm2d[bn1]/batch_norm_0" [id=27, type=batch_norm]; -"28 SENet/Sequential[layer1]/PreActBlock[1]/relu_0" [id=28, type=relu]; -"29 SENet/Sequential[layer1]/PreActBlock[1]/AsymmetricQuantizer/asymmetric_quantize_0" [id=29, type=asymmetric_quantize]; -"30 SENet/Sequential[layer1]/PreActBlock[1]/NNCFConv2d[conv1]/ModuleDict[pre_ops]/UpdateWeight[0]/AsymmetricQuantizer[op]/asymmetric_quantize_0" [id=30, type=asymmetric_quantize]; -"31 SENet/Sequential[layer1]/PreActBlock[1]/NNCFConv2d[conv1]/conv2d_0" [id=31, type=conv2d]; -"32 SENet/Sequential[layer1]/PreActBlock[1]/NNCFBatchNorm2d[bn2]/batch_norm_0" [id=32, type=batch_norm]; -"33 SENet/Sequential[layer1]/PreActBlock[1]/relu_1" [id=33, type=relu]; -"34 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SENet/Sequential[layer4]/PreActBlock[0]/sigmoid_0" [id=182, type=sigmoid]; +"183 SENet/Sequential[layer4]/PreActBlock[0]/AsymmetricQuantizer/asymmetric_quantize_4" [id=183, type=asymmetric_quantize]; +"184 SENet/Sequential[layer4]/PreActBlock[0]/__mul___0" [id=184, type=__mul__]; +"185 SENet/Sequential[layer4]/PreActBlock[0]/AsymmetricQuantizer/asymmetric_quantize_5" [id=185, type=asymmetric_quantize]; +"186 SENet/Sequential[layer4]/PreActBlock[0]/__iadd___0" [id=186, type=__iadd__]; +"187 SENet/Sequential[layer4]/PreActBlock[0]/AsymmetricQuantizer/asymmetric_quantize_6" [id=187, type=asymmetric_quantize]; +"188 SENet/Sequential[layer4]/PreActBlock[1]/NNCFBatchNorm2d[bn1]/batch_norm_0" [id=188, type=batch_norm]; +"189 SENet/Sequential[layer4]/PreActBlock[1]/relu_0" [id=189, type=relu]; +"190 SENet/Sequential[layer4]/PreActBlock[1]/AsymmetricQuantizer/asymmetric_quantize_0" [id=190, type=asymmetric_quantize]; +"191 SENet/Sequential[layer4]/PreActBlock[1]/NNCFConv2d[conv1]/ModuleDict[pre_ops]/UpdateWeight[0]/AsymmetricQuantizer[op]/asymmetric_quantize_0" [id=191, type=asymmetric_quantize]; +"192 SENet/Sequential[layer4]/PreActBlock[1]/NNCFConv2d[conv1]/conv2d_0" [id=192, type=conv2d]; +"193 SENet/Sequential[layer4]/PreActBlock[1]/NNCFBatchNorm2d[bn2]/batch_norm_0" [id=193, type=batch_norm]; +"194 SENet/Sequential[layer4]/PreActBlock[1]/relu_1" [id=194, type=relu]; +"195 SENet/Sequential[layer4]/PreActBlock[1]/AsymmetricQuantizer/asymmetric_quantize_1" [id=195, type=asymmetric_quantize]; +"196 SENet/Sequential[layer4]/PreActBlock[1]/NNCFConv2d[conv2]/ModuleDict[pre_ops]/UpdateWeight[0]/AsymmetricQuantizer[op]/asymmetric_quantize_0" [id=196, type=asymmetric_quantize]; +"197 SENet/Sequential[layer4]/PreActBlock[1]/NNCFConv2d[conv2]/conv2d_0" [id=197, type=conv2d]; +"198 SENet/Sequential[layer4]/PreActBlock[1]/NNCFConv2d[conv2]/AsymmetricQuantizer/asymmetric_quantize_0" [id=198, type=asymmetric_quantize]; +"199 SENet/Sequential[layer4]/PreActBlock[1]/avg_pool2d_0" [id=199, type=avg_pool2d]; +"200 SENet/Sequential[layer4]/PreActBlock[1]/AsymmetricQuantizer/asymmetric_quantize_2" [id=200, type=asymmetric_quantize]; +"201 SENet/Sequential[layer4]/PreActBlock[1]/NNCFConv2d[fc1]/ModuleDict[pre_ops]/UpdateWeight[0]/AsymmetricQuantizer[op]/asymmetric_quantize_0" [id=201, type=asymmetric_quantize]; +"202 SENet/Sequential[layer4]/PreActBlock[1]/NNCFConv2d[fc1]/conv2d_0" [id=202, type=conv2d]; +"203 SENet/Sequential[layer4]/PreActBlock[1]/relu_2" [id=203, type=relu]; +"204 SENet/Sequential[layer4]/PreActBlock[1]/AsymmetricQuantizer/asymmetric_quantize_3" [id=204, type=asymmetric_quantize]; +"205 SENet/Sequential[layer4]/PreActBlock[1]/NNCFConv2d[fc2]/ModuleDict[pre_ops]/UpdateWeight[0]/AsymmetricQuantizer[op]/asymmetric_quantize_0" [id=205, type=asymmetric_quantize]; +"206 SENet/Sequential[layer4]/PreActBlock[1]/NNCFConv2d[fc2]/conv2d_0" [id=206, type=conv2d]; +"207 SENet/Sequential[layer4]/PreActBlock[1]/sigmoid_0" [id=207, type=sigmoid]; +"208 SENet/Sequential[layer4]/PreActBlock[1]/AsymmetricQuantizer/asymmetric_quantize_4" [id=208, type=asymmetric_quantize]; +"209 SENet/Sequential[layer4]/PreActBlock[1]/__mul___0" [id=209, type=__mul__]; +"210 SENet/Sequential[layer4]/PreActBlock[1]/AsymmetricQuantizer/asymmetric_quantize_5" [id=210, type=asymmetric_quantize]; +"211 SENet/Sequential[layer4]/PreActBlock[1]/__iadd___0" [id=211, type=__iadd__]; +"212 SENet/Sequential[layer4]/PreActBlock[1]/AsymmetricQuantizer/asymmetric_quantize_6" [id=212, type=asymmetric_quantize]; +"213 SENet/avg_pool2d_0" [id=213, type=avg_pool2d]; +"214 SENet/NNCFNetworkInterface[_nncf]/ModuleDict[external_quantizers]/AsymmetricQuantizer[SENet/avg_pool2d_0|OUTPUT]/asymmetric_quantize_0" [id=214, type=asymmetric_quantize]; +"215 SENet/view_0" [id=215, type=view]; +"216 SENet/NNCFLinear[linear]/ModuleDict[pre_ops]/UpdateWeight[0]/AsymmetricQuantizer[op]/asymmetric_quantize_0" [id=216, type=asymmetric_quantize]; +"217 SENet/NNCFLinear[linear]/linear_0" [id=217, type=linear]; +"218 /nncf_model_output_0" [id=218, type=nncf_model_output]; "0 /nncf_model_input_0" -> "1 AsymmetricQuantizer/asymmetric_quantize_0"; "1 AsymmetricQuantizer/asymmetric_quantize_0" -> "3 SENet/NNCFConv2d[conv1]/conv2d_0"; "2 SENet/NNCFConv2d[conv1]/ModuleDict[pre_ops]/UpdateWeight[0]/AsymmetricQuantizer[op]/asymmetric_quantize_0" -> "3 SENet/NNCFConv2d[conv1]/conv2d_0"; @@ -185,7 +225,7 @@ strict digraph { "4 SENet/NNCFBatchNorm2d[bn1]/batch_norm_0" -> "5 SENet/relu_0"; "5 SENet/relu_0" -> "6 SENet/NNCFNetworkInterface[_nncf]/ModuleDict[external_quantizers]/AsymmetricQuantizer[SENet/relu_0|OUTPUT]/asymmetric_quantize_0"; "6 SENet/NNCFNetworkInterface[_nncf]/ModuleDict[external_quantizers]/AsymmetricQuantizer[SENet/relu_0|OUTPUT]/asymmetric_quantize_0" -> "7 SENet/Sequential[layer1]/PreActBlock[0]/NNCFBatchNorm2d[bn1]/batch_norm_0"; -"6 SENet/NNCFNetworkInterface[_nncf]/ModuleDict[external_quantizers]/AsymmetricQuantizer[SENet/relu_0|OUTPUT]/asymmetric_quantize_0" -> "25 SENet/Sequential[layer1]/PreActBlock[0]/__iadd___0"; +"6 SENet/NNCFNetworkInterface[_nncf]/ModuleDict[external_quantizers]/AsymmetricQuantizer[SENet/relu_0|OUTPUT]/asymmetric_quantize_0" -> "30 SENet/Sequential[layer1]/PreActBlock[0]/__iadd___0"; "7 SENet/Sequential[layer1]/PreActBlock[0]/NNCFBatchNorm2d[bn1]/batch_norm_0" -> "8 SENet/Sequential[layer1]/PreActBlock[0]/relu_0"; "8 SENet/Sequential[layer1]/PreActBlock[0]/relu_0" -> "9 SENet/Sequential[layer1]/PreActBlock[0]/AsymmetricQuantizer/asymmetric_quantize_0"; "9 SENet/Sequential[layer1]/PreActBlock[0]/AsymmetricQuantizer/asymmetric_quantize_0" -> "11 SENet/Sequential[layer1]/PreActBlock[0]/NNCFConv2d[conv1]/conv2d_0"; @@ -197,179 +237,219 @@ strict digraph { "15 SENet/Sequential[layer1]/PreActBlock[0]/NNCFConv2d[conv2]/ModuleDict[pre_ops]/UpdateWeight[0]/AsymmetricQuantizer[op]/asymmetric_quantize_0" -> "16 SENet/Sequential[layer1]/PreActBlock[0]/NNCFConv2d[conv2]/conv2d_0"; "16 SENet/Sequential[layer1]/PreActBlock[0]/NNCFConv2d[conv2]/conv2d_0" -> "17 SENet/Sequential[layer1]/PreActBlock[0]/NNCFConv2d[conv2]/AsymmetricQuantizer/asymmetric_quantize_0"; "17 SENet/Sequential[layer1]/PreActBlock[0]/NNCFConv2d[conv2]/AsymmetricQuantizer/asymmetric_quantize_0" -> "18 SENet/Sequential[layer1]/PreActBlock[0]/avg_pool2d_0"; -"17 SENet/Sequential[layer1]/PreActBlock[0]/NNCFConv2d[conv2]/AsymmetricQuantizer/asymmetric_quantize_0" -> "23 SENet/Sequential[layer1]/PreActBlock[0]/__mul___0"; -"18 SENet/Sequential[layer1]/PreActBlock[0]/avg_pool2d_0" -> "19 SENet/Sequential[layer1]/PreActBlock[0]/NNCFConv2d[fc1]/conv2d_0"; -"19 SENet/Sequential[layer1]/PreActBlock[0]/NNCFConv2d[fc1]/conv2d_0" -> "20 SENet/Sequential[layer1]/PreActBlock[0]/relu_2"; -"20 SENet/Sequential[layer1]/PreActBlock[0]/relu_2" -> "21 SENet/Sequential[layer1]/PreActBlock[0]/NNCFConv2d[fc2]/conv2d_0"; -"21 SENet/Sequential[layer1]/PreActBlock[0]/NNCFConv2d[fc2]/conv2d_0" -> "22 SENet/Sequential[layer1]/PreActBlock[0]/sigmoid_0"; -"22 SENet/Sequential[layer1]/PreActBlock[0]/sigmoid_0" -> "23 SENet/Sequential[layer1]/PreActBlock[0]/__mul___0"; -"23 SENet/Sequential[layer1]/PreActBlock[0]/__mul___0" -> "24 SENet/Sequential[layer1]/PreActBlock[0]/AsymmetricQuantizer/asymmetric_quantize_2"; -"24 SENet/Sequential[layer1]/PreActBlock[0]/AsymmetricQuantizer/asymmetric_quantize_2" -> "25 SENet/Sequential[layer1]/PreActBlock[0]/__iadd___0"; -"25 SENet/Sequential[layer1]/PreActBlock[0]/__iadd___0" -> "26 SENet/Sequential[layer1]/PreActBlock[0]/AsymmetricQuantizer/asymmetric_quantize_3"; -"26 SENet/Sequential[layer1]/PreActBlock[0]/AsymmetricQuantizer/asymmetric_quantize_3" -> "27 SENet/Sequential[layer1]/PreActBlock[1]/NNCFBatchNorm2d[bn1]/batch_norm_0"; -"26 SENet/Sequential[layer1]/PreActBlock[0]/AsymmetricQuantizer/asymmetric_quantize_3" -> "45 SENet/Sequential[layer1]/PreActBlock[1]/__iadd___0"; -"27 SENet/Sequential[layer1]/PreActBlock[1]/NNCFBatchNorm2d[bn1]/batch_norm_0" -> "28 SENet/Sequential[layer1]/PreActBlock[1]/relu_0"; -"28 SENet/Sequential[layer1]/PreActBlock[1]/relu_0" -> "29 SENet/Sequential[layer1]/PreActBlock[1]/AsymmetricQuantizer/asymmetric_quantize_0"; -"29 SENet/Sequential[layer1]/PreActBlock[1]/AsymmetricQuantizer/asymmetric_quantize_0" -> "31 SENet/Sequential[layer1]/PreActBlock[1]/NNCFConv2d[conv1]/conv2d_0"; -"30 SENet/Sequential[layer1]/PreActBlock[1]/NNCFConv2d[conv1]/ModuleDict[pre_ops]/UpdateWeight[0]/AsymmetricQuantizer[op]/asymmetric_quantize_0" -> "31 SENet/Sequential[layer1]/PreActBlock[1]/NNCFConv2d[conv1]/conv2d_0"; -"31 SENet/Sequential[layer1]/PreActBlock[1]/NNCFConv2d[conv1]/conv2d_0" -> "32 SENet/Sequential[layer1]/PreActBlock[1]/NNCFBatchNorm2d[bn2]/batch_norm_0"; -"32 SENet/Sequential[layer1]/PreActBlock[1]/NNCFBatchNorm2d[bn2]/batch_norm_0" -> "33 SENet/Sequential[layer1]/PreActBlock[1]/relu_1"; -"33 SENet/Sequential[layer1]/PreActBlock[1]/relu_1" -> "34 SENet/Sequential[layer1]/PreActBlock[1]/AsymmetricQuantizer/asymmetric_quantize_1"; -"34 SENet/Sequential[layer1]/PreActBlock[1]/AsymmetricQuantizer/asymmetric_quantize_1" -> "36 SENet/Sequential[layer1]/PreActBlock[1]/NNCFConv2d[conv2]/conv2d_0"; -"35 SENet/Sequential[layer1]/PreActBlock[1]/NNCFConv2d[conv2]/ModuleDict[pre_ops]/UpdateWeight[0]/AsymmetricQuantizer[op]/asymmetric_quantize_0" -> "36 SENet/Sequential[layer1]/PreActBlock[1]/NNCFConv2d[conv2]/conv2d_0"; -"36 SENet/Sequential[layer1]/PreActBlock[1]/NNCFConv2d[conv2]/conv2d_0" -> "37 SENet/Sequential[layer1]/PreActBlock[1]/NNCFConv2d[conv2]/AsymmetricQuantizer/asymmetric_quantize_0"; -"37 SENet/Sequential[layer1]/PreActBlock[1]/NNCFConv2d[conv2]/AsymmetricQuantizer/asymmetric_quantize_0" -> "38 SENet/Sequential[layer1]/PreActBlock[1]/avg_pool2d_0"; -"37 SENet/Sequential[layer1]/PreActBlock[1]/NNCFConv2d[conv2]/AsymmetricQuantizer/asymmetric_quantize_0" -> "43 SENet/Sequential[layer1]/PreActBlock[1]/__mul___0"; -"38 SENet/Sequential[layer1]/PreActBlock[1]/avg_pool2d_0" -> "39 SENet/Sequential[layer1]/PreActBlock[1]/NNCFConv2d[fc1]/conv2d_0"; -"39 SENet/Sequential[layer1]/PreActBlock[1]/NNCFConv2d[fc1]/conv2d_0" -> "40 SENet/Sequential[layer1]/PreActBlock[1]/relu_2"; -"40 SENet/Sequential[layer1]/PreActBlock[1]/relu_2" -> "41 SENet/Sequential[layer1]/PreActBlock[1]/NNCFConv2d[fc2]/conv2d_0"; -"41 SENet/Sequential[layer1]/PreActBlock[1]/NNCFConv2d[fc2]/conv2d_0" -> "42 SENet/Sequential[layer1]/PreActBlock[1]/sigmoid_0"; -"42 SENet/Sequential[layer1]/PreActBlock[1]/sigmoid_0" -> "43 SENet/Sequential[layer1]/PreActBlock[1]/__mul___0"; -"43 SENet/Sequential[layer1]/PreActBlock[1]/__mul___0" -> "44 SENet/Sequential[layer1]/PreActBlock[1]/AsymmetricQuantizer/asymmetric_quantize_2"; -"44 SENet/Sequential[layer1]/PreActBlock[1]/AsymmetricQuantizer/asymmetric_quantize_2" -> "45 SENet/Sequential[layer1]/PreActBlock[1]/__iadd___0"; -"45 SENet/Sequential[layer1]/PreActBlock[1]/__iadd___0" -> "46 SENet/Sequential[layer2]/PreActBlock[0]/NNCFBatchNorm2d[bn1]/batch_norm_0"; -"46 SENet/Sequential[layer2]/PreActBlock[0]/NNCFBatchNorm2d[bn1]/batch_norm_0" -> "47 SENet/Sequential[layer2]/PreActBlock[0]/relu_0"; -"47 SENet/Sequential[layer2]/PreActBlock[0]/relu_0" -> "48 SENet/Sequential[layer2]/PreActBlock[0]/AsymmetricQuantizer/asymmetric_quantize_0"; -"48 SENet/Sequential[layer2]/PreActBlock[0]/AsymmetricQuantizer/asymmetric_quantize_0" -> "50 SENet/Sequential[layer2]/PreActBlock[0]/Sequential[shortcut]/NNCFConv2d[0]/conv2d_0"; -"48 SENet/Sequential[layer2]/PreActBlock[0]/AsymmetricQuantizer/asymmetric_quantize_0" -> "53 SENet/Sequential[layer2]/PreActBlock[0]/NNCFConv2d[conv1]/conv2d_0"; -"49 SENet/Sequential[layer2]/PreActBlock[0]/Sequential[shortcut]/NNCFConv2d[0]/ModuleDict[pre_ops]/UpdateWeight[0]/AsymmetricQuantizer[op]/asymmetric_quantize_0" -> "50 SENet/Sequential[layer2]/PreActBlock[0]/Sequential[shortcut]/NNCFConv2d[0]/conv2d_0"; -"50 SENet/Sequential[layer2]/PreActBlock[0]/Sequential[shortcut]/NNCFConv2d[0]/conv2d_0" -> "51 SENet/Sequential[layer2]/PreActBlock[0]/Sequential[shortcut]/NNCFConv2d[0]/AsymmetricQuantizer/asymmetric_quantize_0"; -"51 SENet/Sequential[layer2]/PreActBlock[0]/Sequential[shortcut]/NNCFConv2d[0]/AsymmetricQuantizer/asymmetric_quantize_0" -> "67 SENet/Sequential[layer2]/PreActBlock[0]/__iadd___0"; -"52 SENet/Sequential[layer2]/PreActBlock[0]/NNCFConv2d[conv1]/ModuleDict[pre_ops]/UpdateWeight[0]/AsymmetricQuantizer[op]/asymmetric_quantize_0" -> "53 SENet/Sequential[layer2]/PreActBlock[0]/NNCFConv2d[conv1]/conv2d_0"; -"53 SENet/Sequential[layer2]/PreActBlock[0]/NNCFConv2d[conv1]/conv2d_0" -> "54 SENet/Sequential[layer2]/PreActBlock[0]/NNCFBatchNorm2d[bn2]/batch_norm_0"; -"54 SENet/Sequential[layer2]/PreActBlock[0]/NNCFBatchNorm2d[bn2]/batch_norm_0" -> "55 SENet/Sequential[layer2]/PreActBlock[0]/relu_1"; -"55 SENet/Sequential[layer2]/PreActBlock[0]/relu_1" -> "56 SENet/Sequential[layer2]/PreActBlock[0]/AsymmetricQuantizer/asymmetric_quantize_1"; -"56 SENet/Sequential[layer2]/PreActBlock[0]/AsymmetricQuantizer/asymmetric_quantize_1" -> "58 SENet/Sequential[layer2]/PreActBlock[0]/NNCFConv2d[conv2]/conv2d_0"; -"57 SENet/Sequential[layer2]/PreActBlock[0]/NNCFConv2d[conv2]/ModuleDict[pre_ops]/UpdateWeight[0]/AsymmetricQuantizer[op]/asymmetric_quantize_0" -> "58 SENet/Sequential[layer2]/PreActBlock[0]/NNCFConv2d[conv2]/conv2d_0"; -"58 SENet/Sequential[layer2]/PreActBlock[0]/NNCFConv2d[conv2]/conv2d_0" -> "59 SENet/Sequential[layer2]/PreActBlock[0]/NNCFConv2d[conv2]/AsymmetricQuantizer/asymmetric_quantize_0"; -"59 SENet/Sequential[layer2]/PreActBlock[0]/NNCFConv2d[conv2]/AsymmetricQuantizer/asymmetric_quantize_0" -> "60 SENet/Sequential[layer2]/PreActBlock[0]/avg_pool2d_0"; -"59 SENet/Sequential[layer2]/PreActBlock[0]/NNCFConv2d[conv2]/AsymmetricQuantizer/asymmetric_quantize_0" -> "65 SENet/Sequential[layer2]/PreActBlock[0]/__mul___0"; -"60 SENet/Sequential[layer2]/PreActBlock[0]/avg_pool2d_0" -> "61 SENet/Sequential[layer2]/PreActBlock[0]/NNCFConv2d[fc1]/conv2d_0"; -"61 SENet/Sequential[layer2]/PreActBlock[0]/NNCFConv2d[fc1]/conv2d_0" -> "62 SENet/Sequential[layer2]/PreActBlock[0]/relu_2"; -"62 SENet/Sequential[layer2]/PreActBlock[0]/relu_2" -> "63 SENet/Sequential[layer2]/PreActBlock[0]/NNCFConv2d[fc2]/conv2d_0"; -"63 SENet/Sequential[layer2]/PreActBlock[0]/NNCFConv2d[fc2]/conv2d_0" -> "64 SENet/Sequential[layer2]/PreActBlock[0]/sigmoid_0"; -"64 SENet/Sequential[layer2]/PreActBlock[0]/sigmoid_0" -> "65 SENet/Sequential[layer2]/PreActBlock[0]/__mul___0"; -"65 SENet/Sequential[layer2]/PreActBlock[0]/__mul___0" -> "66 SENet/Sequential[layer2]/PreActBlock[0]/AsymmetricQuantizer/asymmetric_quantize_2"; -"66 SENet/Sequential[layer2]/PreActBlock[0]/AsymmetricQuantizer/asymmetric_quantize_2" -> "67 SENet/Sequential[layer2]/PreActBlock[0]/__iadd___0"; -"67 SENet/Sequential[layer2]/PreActBlock[0]/__iadd___0" -> "68 SENet/Sequential[layer2]/PreActBlock[0]/AsymmetricQuantizer/asymmetric_quantize_3"; -"68 SENet/Sequential[layer2]/PreActBlock[0]/AsymmetricQuantizer/asymmetric_quantize_3" -> "69 SENet/Sequential[layer2]/PreActBlock[1]/NNCFBatchNorm2d[bn1]/batch_norm_0"; -"68 SENet/Sequential[layer2]/PreActBlock[0]/AsymmetricQuantizer/asymmetric_quantize_3" -> "87 SENet/Sequential[layer2]/PreActBlock[1]/__iadd___0"; -"69 SENet/Sequential[layer2]/PreActBlock[1]/NNCFBatchNorm2d[bn1]/batch_norm_0" -> "70 SENet/Sequential[layer2]/PreActBlock[1]/relu_0"; -"70 SENet/Sequential[layer2]/PreActBlock[1]/relu_0" -> "71 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SENet/Sequential[layer3]/PreActBlock[0]/NNCFConv2d[fc1]/ModuleDict[pre_ops]/UpdateWeight[0]/AsymmetricQuantizer[op]/asymmetric_quantize_0" -> "125 SENet/Sequential[layer3]/PreActBlock[0]/NNCFConv2d[fc1]/conv2d_0"; +"125 SENet/Sequential[layer3]/PreActBlock[0]/NNCFConv2d[fc1]/conv2d_0" -> "126 SENet/Sequential[layer3]/PreActBlock[0]/relu_2"; +"126 SENet/Sequential[layer3]/PreActBlock[0]/relu_2" -> "127 SENet/Sequential[layer3]/PreActBlock[0]/AsymmetricQuantizer/asymmetric_quantize_3"; +"127 SENet/Sequential[layer3]/PreActBlock[0]/AsymmetricQuantizer/asymmetric_quantize_3" -> "129 SENet/Sequential[layer3]/PreActBlock[0]/NNCFConv2d[fc2]/conv2d_0"; +"128 SENet/Sequential[layer3]/PreActBlock[0]/NNCFConv2d[fc2]/ModuleDict[pre_ops]/UpdateWeight[0]/AsymmetricQuantizer[op]/asymmetric_quantize_0" -> "129 SENet/Sequential[layer3]/PreActBlock[0]/NNCFConv2d[fc2]/conv2d_0"; +"129 SENet/Sequential[layer3]/PreActBlock[0]/NNCFConv2d[fc2]/conv2d_0" -> "130 SENet/Sequential[layer3]/PreActBlock[0]/sigmoid_0"; +"130 SENet/Sequential[layer3]/PreActBlock[0]/sigmoid_0" -> "131 SENet/Sequential[layer3]/PreActBlock[0]/AsymmetricQuantizer/asymmetric_quantize_4"; +"131 SENet/Sequential[layer3]/PreActBlock[0]/AsymmetricQuantizer/asymmetric_quantize_4" -> "132 SENet/Sequential[layer3]/PreActBlock[0]/__mul___0"; +"132 SENet/Sequential[layer3]/PreActBlock[0]/__mul___0" -> "133 SENet/Sequential[layer3]/PreActBlock[0]/AsymmetricQuantizer/asymmetric_quantize_5"; +"133 SENet/Sequential[layer3]/PreActBlock[0]/AsymmetricQuantizer/asymmetric_quantize_5" -> "134 SENet/Sequential[layer3]/PreActBlock[0]/__iadd___0"; +"134 SENet/Sequential[layer3]/PreActBlock[0]/__iadd___0" -> "135 SENet/Sequential[layer3]/PreActBlock[0]/AsymmetricQuantizer/asymmetric_quantize_6"; +"135 SENet/Sequential[layer3]/PreActBlock[0]/AsymmetricQuantizer/asymmetric_quantize_6" -> "136 SENet/Sequential[layer3]/PreActBlock[1]/NNCFBatchNorm2d[bn1]/batch_norm_0"; +"135 SENet/Sequential[layer3]/PreActBlock[0]/AsymmetricQuantizer/asymmetric_quantize_6" -> "159 SENet/Sequential[layer3]/PreActBlock[1]/__iadd___0"; +"136 SENet/Sequential[layer3]/PreActBlock[1]/NNCFBatchNorm2d[bn1]/batch_norm_0" -> "137 SENet/Sequential[layer3]/PreActBlock[1]/relu_0"; +"137 SENet/Sequential[layer3]/PreActBlock[1]/relu_0" -> "138 SENet/Sequential[layer3]/PreActBlock[1]/AsymmetricQuantizer/asymmetric_quantize_0"; +"138 SENet/Sequential[layer3]/PreActBlock[1]/AsymmetricQuantizer/asymmetric_quantize_0" -> "140 SENet/Sequential[layer3]/PreActBlock[1]/NNCFConv2d[conv1]/conv2d_0"; +"139 SENet/Sequential[layer3]/PreActBlock[1]/NNCFConv2d[conv1]/ModuleDict[pre_ops]/UpdateWeight[0]/AsymmetricQuantizer[op]/asymmetric_quantize_0" -> "140 SENet/Sequential[layer3]/PreActBlock[1]/NNCFConv2d[conv1]/conv2d_0"; +"140 SENet/Sequential[layer3]/PreActBlock[1]/NNCFConv2d[conv1]/conv2d_0" -> "141 SENet/Sequential[layer3]/PreActBlock[1]/NNCFBatchNorm2d[bn2]/batch_norm_0"; +"141 SENet/Sequential[layer3]/PreActBlock[1]/NNCFBatchNorm2d[bn2]/batch_norm_0" -> "142 SENet/Sequential[layer3]/PreActBlock[1]/relu_1"; +"142 SENet/Sequential[layer3]/PreActBlock[1]/relu_1" -> "143 SENet/Sequential[layer3]/PreActBlock[1]/AsymmetricQuantizer/asymmetric_quantize_1"; +"143 SENet/Sequential[layer3]/PreActBlock[1]/AsymmetricQuantizer/asymmetric_quantize_1" -> "145 SENet/Sequential[layer3]/PreActBlock[1]/NNCFConv2d[conv2]/conv2d_0"; +"144 SENet/Sequential[layer3]/PreActBlock[1]/NNCFConv2d[conv2]/ModuleDict[pre_ops]/UpdateWeight[0]/AsymmetricQuantizer[op]/asymmetric_quantize_0" -> "145 SENet/Sequential[layer3]/PreActBlock[1]/NNCFConv2d[conv2]/conv2d_0"; +"145 SENet/Sequential[layer3]/PreActBlock[1]/NNCFConv2d[conv2]/conv2d_0" -> "146 SENet/Sequential[layer3]/PreActBlock[1]/NNCFConv2d[conv2]/AsymmetricQuantizer/asymmetric_quantize_0"; +"146 SENet/Sequential[layer3]/PreActBlock[1]/NNCFConv2d[conv2]/AsymmetricQuantizer/asymmetric_quantize_0" -> "147 SENet/Sequential[layer3]/PreActBlock[1]/avg_pool2d_0"; +"146 SENet/Sequential[layer3]/PreActBlock[1]/NNCFConv2d[conv2]/AsymmetricQuantizer/asymmetric_quantize_0" -> "157 SENet/Sequential[layer3]/PreActBlock[1]/__mul___0"; +"147 SENet/Sequential[layer3]/PreActBlock[1]/avg_pool2d_0" -> "148 SENet/Sequential[layer3]/PreActBlock[1]/AsymmetricQuantizer/asymmetric_quantize_2"; +"148 SENet/Sequential[layer3]/PreActBlock[1]/AsymmetricQuantizer/asymmetric_quantize_2" -> "150 SENet/Sequential[layer3]/PreActBlock[1]/NNCFConv2d[fc1]/conv2d_0"; +"149 SENet/Sequential[layer3]/PreActBlock[1]/NNCFConv2d[fc1]/ModuleDict[pre_ops]/UpdateWeight[0]/AsymmetricQuantizer[op]/asymmetric_quantize_0" -> "150 SENet/Sequential[layer3]/PreActBlock[1]/NNCFConv2d[fc1]/conv2d_0"; +"150 SENet/Sequential[layer3]/PreActBlock[1]/NNCFConv2d[fc1]/conv2d_0" -> "151 SENet/Sequential[layer3]/PreActBlock[1]/relu_2"; +"151 SENet/Sequential[layer3]/PreActBlock[1]/relu_2" -> "152 SENet/Sequential[layer3]/PreActBlock[1]/AsymmetricQuantizer/asymmetric_quantize_3"; +"152 SENet/Sequential[layer3]/PreActBlock[1]/AsymmetricQuantizer/asymmetric_quantize_3" -> "154 SENet/Sequential[layer3]/PreActBlock[1]/NNCFConv2d[fc2]/conv2d_0"; +"153 SENet/Sequential[layer3]/PreActBlock[1]/NNCFConv2d[fc2]/ModuleDict[pre_ops]/UpdateWeight[0]/AsymmetricQuantizer[op]/asymmetric_quantize_0" -> "154 SENet/Sequential[layer3]/PreActBlock[1]/NNCFConv2d[fc2]/conv2d_0"; +"154 SENet/Sequential[layer3]/PreActBlock[1]/NNCFConv2d[fc2]/conv2d_0" -> "155 SENet/Sequential[layer3]/PreActBlock[1]/sigmoid_0"; +"155 SENet/Sequential[layer3]/PreActBlock[1]/sigmoid_0" -> "156 SENet/Sequential[layer3]/PreActBlock[1]/AsymmetricQuantizer/asymmetric_quantize_4"; +"156 SENet/Sequential[layer3]/PreActBlock[1]/AsymmetricQuantizer/asymmetric_quantize_4" -> "157 SENet/Sequential[layer3]/PreActBlock[1]/__mul___0"; +"157 SENet/Sequential[layer3]/PreActBlock[1]/__mul___0" -> "158 SENet/Sequential[layer3]/PreActBlock[1]/AsymmetricQuantizer/asymmetric_quantize_5"; +"158 SENet/Sequential[layer3]/PreActBlock[1]/AsymmetricQuantizer/asymmetric_quantize_5" -> "159 SENet/Sequential[layer3]/PreActBlock[1]/__iadd___0"; +"159 SENet/Sequential[layer3]/PreActBlock[1]/__iadd___0" -> "160 SENet/Sequential[layer4]/PreActBlock[0]/NNCFBatchNorm2d[bn1]/batch_norm_0"; +"160 SENet/Sequential[layer4]/PreActBlock[0]/NNCFBatchNorm2d[bn1]/batch_norm_0" -> "161 SENet/Sequential[layer4]/PreActBlock[0]/relu_0"; +"161 SENet/Sequential[layer4]/PreActBlock[0]/relu_0" -> "162 SENet/Sequential[layer4]/PreActBlock[0]/AsymmetricQuantizer/asymmetric_quantize_0"; +"162 SENet/Sequential[layer4]/PreActBlock[0]/AsymmetricQuantizer/asymmetric_quantize_0" -> "164 SENet/Sequential[layer4]/PreActBlock[0]/Sequential[shortcut]/NNCFConv2d[0]/conv2d_0"; +"162 SENet/Sequential[layer4]/PreActBlock[0]/AsymmetricQuantizer/asymmetric_quantize_0" -> "167 SENet/Sequential[layer4]/PreActBlock[0]/NNCFConv2d[conv1]/conv2d_0"; +"163 SENet/Sequential[layer4]/PreActBlock[0]/Sequential[shortcut]/NNCFConv2d[0]/ModuleDict[pre_ops]/UpdateWeight[0]/AsymmetricQuantizer[op]/asymmetric_quantize_0" -> "164 SENet/Sequential[layer4]/PreActBlock[0]/Sequential[shortcut]/NNCFConv2d[0]/conv2d_0"; +"164 SENet/Sequential[layer4]/PreActBlock[0]/Sequential[shortcut]/NNCFConv2d[0]/conv2d_0" -> "165 SENet/Sequential[layer4]/PreActBlock[0]/Sequential[shortcut]/NNCFConv2d[0]/AsymmetricQuantizer/asymmetric_quantize_0"; +"165 SENet/Sequential[layer4]/PreActBlock[0]/Sequential[shortcut]/NNCFConv2d[0]/AsymmetricQuantizer/asymmetric_quantize_0" -> "186 SENet/Sequential[layer4]/PreActBlock[0]/__iadd___0"; +"166 SENet/Sequential[layer4]/PreActBlock[0]/NNCFConv2d[conv1]/ModuleDict[pre_ops]/UpdateWeight[0]/AsymmetricQuantizer[op]/asymmetric_quantize_0" -> "167 SENet/Sequential[layer4]/PreActBlock[0]/NNCFConv2d[conv1]/conv2d_0"; +"167 SENet/Sequential[layer4]/PreActBlock[0]/NNCFConv2d[conv1]/conv2d_0" -> "168 SENet/Sequential[layer4]/PreActBlock[0]/NNCFBatchNorm2d[bn2]/batch_norm_0"; +"168 SENet/Sequential[layer4]/PreActBlock[0]/NNCFBatchNorm2d[bn2]/batch_norm_0" -> "169 SENet/Sequential[layer4]/PreActBlock[0]/relu_1"; +"169 SENet/Sequential[layer4]/PreActBlock[0]/relu_1" -> "170 SENet/Sequential[layer4]/PreActBlock[0]/AsymmetricQuantizer/asymmetric_quantize_1"; +"170 SENet/Sequential[layer4]/PreActBlock[0]/AsymmetricQuantizer/asymmetric_quantize_1" -> "172 SENet/Sequential[layer4]/PreActBlock[0]/NNCFConv2d[conv2]/conv2d_0"; +"171 SENet/Sequential[layer4]/PreActBlock[0]/NNCFConv2d[conv2]/ModuleDict[pre_ops]/UpdateWeight[0]/AsymmetricQuantizer[op]/asymmetric_quantize_0" -> "172 SENet/Sequential[layer4]/PreActBlock[0]/NNCFConv2d[conv2]/conv2d_0"; +"172 SENet/Sequential[layer4]/PreActBlock[0]/NNCFConv2d[conv2]/conv2d_0" -> "173 SENet/Sequential[layer4]/PreActBlock[0]/NNCFConv2d[conv2]/AsymmetricQuantizer/asymmetric_quantize_0"; +"173 SENet/Sequential[layer4]/PreActBlock[0]/NNCFConv2d[conv2]/AsymmetricQuantizer/asymmetric_quantize_0" -> "174 SENet/Sequential[layer4]/PreActBlock[0]/avg_pool2d_0"; +"173 SENet/Sequential[layer4]/PreActBlock[0]/NNCFConv2d[conv2]/AsymmetricQuantizer/asymmetric_quantize_0" -> "184 SENet/Sequential[layer4]/PreActBlock[0]/__mul___0"; +"174 SENet/Sequential[layer4]/PreActBlock[0]/avg_pool2d_0" -> "175 SENet/Sequential[layer4]/PreActBlock[0]/AsymmetricQuantizer/asymmetric_quantize_2"; +"175 SENet/Sequential[layer4]/PreActBlock[0]/AsymmetricQuantizer/asymmetric_quantize_2" -> "177 SENet/Sequential[layer4]/PreActBlock[0]/NNCFConv2d[fc1]/conv2d_0"; +"176 SENet/Sequential[layer4]/PreActBlock[0]/NNCFConv2d[fc1]/ModuleDict[pre_ops]/UpdateWeight[0]/AsymmetricQuantizer[op]/asymmetric_quantize_0" -> "177 SENet/Sequential[layer4]/PreActBlock[0]/NNCFConv2d[fc1]/conv2d_0"; +"177 SENet/Sequential[layer4]/PreActBlock[0]/NNCFConv2d[fc1]/conv2d_0" -> "178 SENet/Sequential[layer4]/PreActBlock[0]/relu_2"; +"178 SENet/Sequential[layer4]/PreActBlock[0]/relu_2" -> "179 SENet/Sequential[layer4]/PreActBlock[0]/AsymmetricQuantizer/asymmetric_quantize_3"; +"179 SENet/Sequential[layer4]/PreActBlock[0]/AsymmetricQuantizer/asymmetric_quantize_3" -> "181 SENet/Sequential[layer4]/PreActBlock[0]/NNCFConv2d[fc2]/conv2d_0"; +"180 SENet/Sequential[layer4]/PreActBlock[0]/NNCFConv2d[fc2]/ModuleDict[pre_ops]/UpdateWeight[0]/AsymmetricQuantizer[op]/asymmetric_quantize_0" -> "181 SENet/Sequential[layer4]/PreActBlock[0]/NNCFConv2d[fc2]/conv2d_0"; +"181 SENet/Sequential[layer4]/PreActBlock[0]/NNCFConv2d[fc2]/conv2d_0" -> "182 SENet/Sequential[layer4]/PreActBlock[0]/sigmoid_0"; +"182 SENet/Sequential[layer4]/PreActBlock[0]/sigmoid_0" -> "183 SENet/Sequential[layer4]/PreActBlock[0]/AsymmetricQuantizer/asymmetric_quantize_4"; +"183 SENet/Sequential[layer4]/PreActBlock[0]/AsymmetricQuantizer/asymmetric_quantize_4" -> "184 SENet/Sequential[layer4]/PreActBlock[0]/__mul___0"; +"184 SENet/Sequential[layer4]/PreActBlock[0]/__mul___0" -> "185 SENet/Sequential[layer4]/PreActBlock[0]/AsymmetricQuantizer/asymmetric_quantize_5"; +"185 SENet/Sequential[layer4]/PreActBlock[0]/AsymmetricQuantizer/asymmetric_quantize_5" -> "186 SENet/Sequential[layer4]/PreActBlock[0]/__iadd___0"; +"186 SENet/Sequential[layer4]/PreActBlock[0]/__iadd___0" -> "187 SENet/Sequential[layer4]/PreActBlock[0]/AsymmetricQuantizer/asymmetric_quantize_6"; +"187 SENet/Sequential[layer4]/PreActBlock[0]/AsymmetricQuantizer/asymmetric_quantize_6" -> "188 SENet/Sequential[layer4]/PreActBlock[1]/NNCFBatchNorm2d[bn1]/batch_norm_0"; +"187 SENet/Sequential[layer4]/PreActBlock[0]/AsymmetricQuantizer/asymmetric_quantize_6" -> "211 SENet/Sequential[layer4]/PreActBlock[1]/__iadd___0"; +"188 SENet/Sequential[layer4]/PreActBlock[1]/NNCFBatchNorm2d[bn1]/batch_norm_0" -> "189 SENet/Sequential[layer4]/PreActBlock[1]/relu_0"; +"189 SENet/Sequential[layer4]/PreActBlock[1]/relu_0" -> "190 SENet/Sequential[layer4]/PreActBlock[1]/AsymmetricQuantizer/asymmetric_quantize_0"; +"190 SENet/Sequential[layer4]/PreActBlock[1]/AsymmetricQuantizer/asymmetric_quantize_0" -> "192 SENet/Sequential[layer4]/PreActBlock[1]/NNCFConv2d[conv1]/conv2d_0"; +"191 SENet/Sequential[layer4]/PreActBlock[1]/NNCFConv2d[conv1]/ModuleDict[pre_ops]/UpdateWeight[0]/AsymmetricQuantizer[op]/asymmetric_quantize_0" -> "192 SENet/Sequential[layer4]/PreActBlock[1]/NNCFConv2d[conv1]/conv2d_0"; +"192 SENet/Sequential[layer4]/PreActBlock[1]/NNCFConv2d[conv1]/conv2d_0" -> "193 SENet/Sequential[layer4]/PreActBlock[1]/NNCFBatchNorm2d[bn2]/batch_norm_0"; +"193 SENet/Sequential[layer4]/PreActBlock[1]/NNCFBatchNorm2d[bn2]/batch_norm_0" -> "194 SENet/Sequential[layer4]/PreActBlock[1]/relu_1"; +"194 SENet/Sequential[layer4]/PreActBlock[1]/relu_1" -> "195 SENet/Sequential[layer4]/PreActBlock[1]/AsymmetricQuantizer/asymmetric_quantize_1"; +"195 SENet/Sequential[layer4]/PreActBlock[1]/AsymmetricQuantizer/asymmetric_quantize_1" -> "197 SENet/Sequential[layer4]/PreActBlock[1]/NNCFConv2d[conv2]/conv2d_0"; +"196 SENet/Sequential[layer4]/PreActBlock[1]/NNCFConv2d[conv2]/ModuleDict[pre_ops]/UpdateWeight[0]/AsymmetricQuantizer[op]/asymmetric_quantize_0" -> "197 SENet/Sequential[layer4]/PreActBlock[1]/NNCFConv2d[conv2]/conv2d_0"; +"197 SENet/Sequential[layer4]/PreActBlock[1]/NNCFConv2d[conv2]/conv2d_0" -> "198 SENet/Sequential[layer4]/PreActBlock[1]/NNCFConv2d[conv2]/AsymmetricQuantizer/asymmetric_quantize_0"; +"198 SENet/Sequential[layer4]/PreActBlock[1]/NNCFConv2d[conv2]/AsymmetricQuantizer/asymmetric_quantize_0" -> "199 SENet/Sequential[layer4]/PreActBlock[1]/avg_pool2d_0"; +"198 SENet/Sequential[layer4]/PreActBlock[1]/NNCFConv2d[conv2]/AsymmetricQuantizer/asymmetric_quantize_0" -> "209 SENet/Sequential[layer4]/PreActBlock[1]/__mul___0"; +"199 SENet/Sequential[layer4]/PreActBlock[1]/avg_pool2d_0" -> "200 SENet/Sequential[layer4]/PreActBlock[1]/AsymmetricQuantizer/asymmetric_quantize_2"; +"200 SENet/Sequential[layer4]/PreActBlock[1]/AsymmetricQuantizer/asymmetric_quantize_2" -> "202 SENet/Sequential[layer4]/PreActBlock[1]/NNCFConv2d[fc1]/conv2d_0"; +"201 SENet/Sequential[layer4]/PreActBlock[1]/NNCFConv2d[fc1]/ModuleDict[pre_ops]/UpdateWeight[0]/AsymmetricQuantizer[op]/asymmetric_quantize_0" -> "202 SENet/Sequential[layer4]/PreActBlock[1]/NNCFConv2d[fc1]/conv2d_0"; +"202 SENet/Sequential[layer4]/PreActBlock[1]/NNCFConv2d[fc1]/conv2d_0" -> "203 SENet/Sequential[layer4]/PreActBlock[1]/relu_2"; +"203 SENet/Sequential[layer4]/PreActBlock[1]/relu_2" -> "204 SENet/Sequential[layer4]/PreActBlock[1]/AsymmetricQuantizer/asymmetric_quantize_3"; +"204 SENet/Sequential[layer4]/PreActBlock[1]/AsymmetricQuantizer/asymmetric_quantize_3" -> "206 SENet/Sequential[layer4]/PreActBlock[1]/NNCFConv2d[fc2]/conv2d_0"; +"205 SENet/Sequential[layer4]/PreActBlock[1]/NNCFConv2d[fc2]/ModuleDict[pre_ops]/UpdateWeight[0]/AsymmetricQuantizer[op]/asymmetric_quantize_0" -> "206 SENet/Sequential[layer4]/PreActBlock[1]/NNCFConv2d[fc2]/conv2d_0"; +"206 SENet/Sequential[layer4]/PreActBlock[1]/NNCFConv2d[fc2]/conv2d_0" -> "207 SENet/Sequential[layer4]/PreActBlock[1]/sigmoid_0"; +"207 SENet/Sequential[layer4]/PreActBlock[1]/sigmoid_0" -> "208 SENet/Sequential[layer4]/PreActBlock[1]/AsymmetricQuantizer/asymmetric_quantize_4"; +"208 SENet/Sequential[layer4]/PreActBlock[1]/AsymmetricQuantizer/asymmetric_quantize_4" -> "209 SENet/Sequential[layer4]/PreActBlock[1]/__mul___0"; +"209 SENet/Sequential[layer4]/PreActBlock[1]/__mul___0" -> "210 SENet/Sequential[layer4]/PreActBlock[1]/AsymmetricQuantizer/asymmetric_quantize_5"; +"210 SENet/Sequential[layer4]/PreActBlock[1]/AsymmetricQuantizer/asymmetric_quantize_5" -> "211 SENet/Sequential[layer4]/PreActBlock[1]/__iadd___0"; +"211 SENet/Sequential[layer4]/PreActBlock[1]/__iadd___0" -> "212 SENet/Sequential[layer4]/PreActBlock[1]/AsymmetricQuantizer/asymmetric_quantize_6"; +"212 SENet/Sequential[layer4]/PreActBlock[1]/AsymmetricQuantizer/asymmetric_quantize_6" -> "213 SENet/avg_pool2d_0"; +"213 SENet/avg_pool2d_0" -> "214 SENet/NNCFNetworkInterface[_nncf]/ModuleDict[external_quantizers]/AsymmetricQuantizer[SENet/avg_pool2d_0|OUTPUT]/asymmetric_quantize_0"; +"214 SENet/NNCFNetworkInterface[_nncf]/ModuleDict[external_quantizers]/AsymmetricQuantizer[SENet/avg_pool2d_0|OUTPUT]/asymmetric_quantize_0" -> "215 SENet/view_0"; +"215 SENet/view_0" -> "217 SENet/NNCFLinear[linear]/linear_0"; +"216 SENet/NNCFLinear[linear]/ModuleDict[pre_ops]/UpdateWeight[0]/AsymmetricQuantizer[op]/asymmetric_quantize_0" -> "217 SENet/NNCFLinear[linear]/linear_0"; +"217 SENet/NNCFLinear[linear]/linear_0" -> "218 /nncf_model_output_0"; } diff --git a/tests/torch/data/reference_graphs/quantized/symmetric/mobilenet_v3_small.dot b/tests/torch/data/reference_graphs/quantized/symmetric/mobilenet_v3_small.dot index 834d7370dd4..c922641d1e1 100644 --- a/tests/torch/data/reference_graphs/quantized/symmetric/mobilenet_v3_small.dot +++ b/tests/torch/data/reference_graphs/quantized/symmetric/mobilenet_v3_small.dot @@ -12,240 +12,285 @@ strict digraph { "10 MobileNetV3/Sequential[features]/InvertedResidual[1]/Sequential[block]/ConvBNActivation[0]/ReLU[2]/relu__0" [id=10, type=relu_]; "11 MobileNetV3/Sequential[features]/InvertedResidual[1]/Sequential[block]/ConvBNActivation[0]/ReLU[2]/SymmetricQuantizer/symmetric_quantize_0" [id=11, type=symmetric_quantize]; "12 MobileNetV3/Sequential[features]/InvertedResidual[1]/Sequential[block]/SqueezeExcitation[1]/adaptive_avg_pool2d_0" [id=12, type=adaptive_avg_pool2d]; -"13 MobileNetV3/Sequential[features]/InvertedResidual[1]/Sequential[block]/SqueezeExcitation[1]/NNCFConv2d[fc1]/conv2d_0" [id=13, type=conv2d]; -"14 MobileNetV3/Sequential[features]/InvertedResidual[1]/Sequential[block]/SqueezeExcitation[1]/ReLU[relu]/relu__0" [id=14, type=relu_]; -"15 MobileNetV3/Sequential[features]/InvertedResidual[1]/Sequential[block]/SqueezeExcitation[1]/NNCFConv2d[fc2]/conv2d_0" [id=15, type=conv2d]; -"16 MobileNetV3/Sequential[features]/InvertedResidual[1]/Sequential[block]/SqueezeExcitation[1]/hardsigmoid_0" [id=16, type=hardsigmoid]; -"17 MobileNetV3/Sequential[features]/InvertedResidual[1]/Sequential[block]/SqueezeExcitation[1]/__mul___0" [id=17, type=__mul__]; -"18 MobileNetV3/Sequential[features]/InvertedResidual[1]/Sequential[block]/SqueezeExcitation[1]/SymmetricQuantizer/symmetric_quantize_0" [id=18, type=symmetric_quantize]; -"19 MobileNetV3/Sequential[features]/InvertedResidual[1]/Sequential[block]/ConvBNActivation[2]/NNCFConv2d[0]/ModuleDict[pre_ops]/UpdateWeight[0]/SymmetricQuantizer[op]/symmetric_quantize_0" [id=19, type=symmetric_quantize]; -"20 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MobileNetV3/Sequential[features]/InvertedResidual[10]/SymmetricQuantizer/symmetric_quantize_0"; -"207 MobileNetV3/Sequential[features]/InvertedResidual[10]/SymmetricQuantizer/symmetric_quantize_0" -> "209 MobileNetV3/Sequential[features]/InvertedResidual[11]/Sequential[block]/ConvBNActivation[0]/NNCFConv2d[0]/conv2d_0"; -"207 MobileNetV3/Sequential[features]/InvertedResidual[10]/SymmetricQuantizer/symmetric_quantize_0" -> "229 MobileNetV3/Sequential[features]/InvertedResidual[11]/__iadd___0"; -"208 MobileNetV3/Sequential[features]/InvertedResidual[11]/Sequential[block]/ConvBNActivation[0]/NNCFConv2d[0]/ModuleDict[pre_ops]/UpdateWeight[0]/SymmetricQuantizer[op]/symmetric_quantize_0" -> "209 MobileNetV3/Sequential[features]/InvertedResidual[11]/Sequential[block]/ConvBNActivation[0]/NNCFConv2d[0]/conv2d_0"; -"209 MobileNetV3/Sequential[features]/InvertedResidual[11]/Sequential[block]/ConvBNActivation[0]/NNCFConv2d[0]/conv2d_0" -> "210 MobileNetV3/Sequential[features]/InvertedResidual[11]/Sequential[block]/ConvBNActivation[0]/NNCFBatchNorm2d[1]/batch_norm_0"; -"210 MobileNetV3/Sequential[features]/InvertedResidual[11]/Sequential[block]/ConvBNActivation[0]/NNCFBatchNorm2d[1]/batch_norm_0" -> "211 MobileNetV3/Sequential[features]/InvertedResidual[11]/Sequential[block]/ConvBNActivation[0]/Hardswish[2]/hardswish_0"; -"211 MobileNetV3/Sequential[features]/InvertedResidual[11]/Sequential[block]/ConvBNActivation[0]/Hardswish[2]/hardswish_0" -> "212 MobileNetV3/Sequential[features]/InvertedResidual[11]/Sequential[block]/ConvBNActivation[0]/Hardswish[2]/SymmetricQuantizer/symmetric_quantize_0"; -"212 MobileNetV3/Sequential[features]/InvertedResidual[11]/Sequential[block]/ConvBNActivation[0]/Hardswish[2]/SymmetricQuantizer/symmetric_quantize_0" -> "214 MobileNetV3/Sequential[features]/InvertedResidual[11]/Sequential[block]/ConvBNActivation[1]/NNCFConv2d[0]/conv2d_0"; -"213 MobileNetV3/Sequential[features]/InvertedResidual[11]/Sequential[block]/ConvBNActivation[1]/NNCFConv2d[0]/ModuleDict[pre_ops]/UpdateWeight[0]/SymmetricQuantizer[op]/symmetric_quantize_0" -> "214 MobileNetV3/Sequential[features]/InvertedResidual[11]/Sequential[block]/ConvBNActivation[1]/NNCFConv2d[0]/conv2d_0"; -"214 MobileNetV3/Sequential[features]/InvertedResidual[11]/Sequential[block]/ConvBNActivation[1]/NNCFConv2d[0]/conv2d_0" -> "215 MobileNetV3/Sequential[features]/InvertedResidual[11]/Sequential[block]/ConvBNActivation[1]/NNCFBatchNorm2d[1]/batch_norm_0"; -"215 MobileNetV3/Sequential[features]/InvertedResidual[11]/Sequential[block]/ConvBNActivation[1]/NNCFBatchNorm2d[1]/batch_norm_0" -> "216 MobileNetV3/Sequential[features]/InvertedResidual[11]/Sequential[block]/ConvBNActivation[1]/Hardswish[2]/hardswish_0"; -"216 MobileNetV3/Sequential[features]/InvertedResidual[11]/Sequential[block]/ConvBNActivation[1]/Hardswish[2]/hardswish_0" -> "217 MobileNetV3/Sequential[features]/InvertedResidual[11]/Sequential[block]/ConvBNActivation[1]/Hardswish[2]/SymmetricQuantizer/symmetric_quantize_0"; -"217 MobileNetV3/Sequential[features]/InvertedResidual[11]/Sequential[block]/ConvBNActivation[1]/Hardswish[2]/SymmetricQuantizer/symmetric_quantize_0" -> "218 MobileNetV3/Sequential[features]/InvertedResidual[11]/Sequential[block]/SqueezeExcitation[2]/adaptive_avg_pool2d_0"; -"217 MobileNetV3/Sequential[features]/InvertedResidual[11]/Sequential[block]/ConvBNActivation[1]/Hardswish[2]/SymmetricQuantizer/symmetric_quantize_0" -> "223 MobileNetV3/Sequential[features]/InvertedResidual[11]/Sequential[block]/SqueezeExcitation[2]/__mul___0"; -"218 MobileNetV3/Sequential[features]/InvertedResidual[11]/Sequential[block]/SqueezeExcitation[2]/adaptive_avg_pool2d_0" -> "219 MobileNetV3/Sequential[features]/InvertedResidual[11]/Sequential[block]/SqueezeExcitation[2]/NNCFConv2d[fc1]/conv2d_0"; -"219 MobileNetV3/Sequential[features]/InvertedResidual[11]/Sequential[block]/SqueezeExcitation[2]/NNCFConv2d[fc1]/conv2d_0" -> "220 MobileNetV3/Sequential[features]/InvertedResidual[11]/Sequential[block]/SqueezeExcitation[2]/ReLU[relu]/relu__0"; -"220 MobileNetV3/Sequential[features]/InvertedResidual[11]/Sequential[block]/SqueezeExcitation[2]/ReLU[relu]/relu__0" -> "221 MobileNetV3/Sequential[features]/InvertedResidual[11]/Sequential[block]/SqueezeExcitation[2]/NNCFConv2d[fc2]/conv2d_0"; -"221 MobileNetV3/Sequential[features]/InvertedResidual[11]/Sequential[block]/SqueezeExcitation[2]/NNCFConv2d[fc2]/conv2d_0" -> "222 MobileNetV3/Sequential[features]/InvertedResidual[11]/Sequential[block]/SqueezeExcitation[2]/hardsigmoid_0"; -"222 MobileNetV3/Sequential[features]/InvertedResidual[11]/Sequential[block]/SqueezeExcitation[2]/hardsigmoid_0" -> "223 MobileNetV3/Sequential[features]/InvertedResidual[11]/Sequential[block]/SqueezeExcitation[2]/__mul___0"; -"223 MobileNetV3/Sequential[features]/InvertedResidual[11]/Sequential[block]/SqueezeExcitation[2]/__mul___0" -> "224 MobileNetV3/Sequential[features]/InvertedResidual[11]/Sequential[block]/SqueezeExcitation[2]/SymmetricQuantizer/symmetric_quantize_0"; -"224 MobileNetV3/Sequential[features]/InvertedResidual[11]/Sequential[block]/SqueezeExcitation[2]/SymmetricQuantizer/symmetric_quantize_0" -> "226 MobileNetV3/Sequential[features]/InvertedResidual[11]/Sequential[block]/ConvBNActivation[3]/NNCFConv2d[0]/conv2d_0"; -"225 MobileNetV3/Sequential[features]/InvertedResidual[11]/Sequential[block]/ConvBNActivation[3]/NNCFConv2d[0]/ModuleDict[pre_ops]/UpdateWeight[0]/SymmetricQuantizer[op]/symmetric_quantize_0" -> "226 MobileNetV3/Sequential[features]/InvertedResidual[11]/Sequential[block]/ConvBNActivation[3]/NNCFConv2d[0]/conv2d_0"; -"226 MobileNetV3/Sequential[features]/InvertedResidual[11]/Sequential[block]/ConvBNActivation[3]/NNCFConv2d[0]/conv2d_0" -> "227 MobileNetV3/Sequential[features]/InvertedResidual[11]/Sequential[block]/ConvBNActivation[3]/NNCFBatchNorm2d[1]/batch_norm_0"; -"227 MobileNetV3/Sequential[features]/InvertedResidual[11]/Sequential[block]/ConvBNActivation[3]/NNCFBatchNorm2d[1]/batch_norm_0" -> "228 MobileNetV3/Sequential[features]/InvertedResidual[11]/Sequential[block]/ConvBNActivation[3]/NNCFBatchNorm2d[1]/SymmetricQuantizer/symmetric_quantize_0"; -"228 MobileNetV3/Sequential[features]/InvertedResidual[11]/Sequential[block]/ConvBNActivation[3]/NNCFBatchNorm2d[1]/SymmetricQuantizer/symmetric_quantize_0" -> "229 MobileNetV3/Sequential[features]/InvertedResidual[11]/__iadd___0"; -"229 MobileNetV3/Sequential[features]/InvertedResidual[11]/__iadd___0" -> "230 MobileNetV3/Sequential[features]/InvertedResidual[11]/SymmetricQuantizer/symmetric_quantize_0"; -"230 MobileNetV3/Sequential[features]/InvertedResidual[11]/SymmetricQuantizer/symmetric_quantize_0" -> "232 MobileNetV3/Sequential[features]/ConvBNActivation[12]/NNCFConv2d[0]/conv2d_0"; -"231 MobileNetV3/Sequential[features]/ConvBNActivation[12]/NNCFConv2d[0]/ModuleDict[pre_ops]/UpdateWeight[0]/SymmetricQuantizer[op]/symmetric_quantize_0" -> "232 MobileNetV3/Sequential[features]/ConvBNActivation[12]/NNCFConv2d[0]/conv2d_0"; -"232 MobileNetV3/Sequential[features]/ConvBNActivation[12]/NNCFConv2d[0]/conv2d_0" -> "233 MobileNetV3/Sequential[features]/ConvBNActivation[12]/NNCFBatchNorm2d[1]/batch_norm_0"; -"233 MobileNetV3/Sequential[features]/ConvBNActivation[12]/NNCFBatchNorm2d[1]/batch_norm_0" -> "234 MobileNetV3/Sequential[features]/ConvBNActivation[12]/Hardswish[2]/hardswish_0"; -"234 MobileNetV3/Sequential[features]/ConvBNActivation[12]/Hardswish[2]/hardswish_0" -> "235 MobileNetV3/Sequential[features]/ConvBNActivation[12]/Hardswish[2]/SymmetricQuantizer/symmetric_quantize_0"; -"235 MobileNetV3/Sequential[features]/ConvBNActivation[12]/Hardswish[2]/SymmetricQuantizer/symmetric_quantize_0" -> "236 MobileNetV3/AdaptiveAvgPool2d[avgpool]/adaptive_avg_pool2d_0"; -"236 MobileNetV3/AdaptiveAvgPool2d[avgpool]/adaptive_avg_pool2d_0" -> "237 MobileNetV3/AdaptiveAvgPool2d[avgpool]/SymmetricQuantizer/symmetric_quantize_0"; -"237 MobileNetV3/AdaptiveAvgPool2d[avgpool]/SymmetricQuantizer/symmetric_quantize_0" -> "238 MobileNetV3/flatten_0"; -"238 MobileNetV3/flatten_0" -> "240 MobileNetV3/Sequential[classifier]/NNCFLinear[0]/linear_0"; -"239 MobileNetV3/Sequential[classifier]/NNCFLinear[0]/ModuleDict[pre_ops]/UpdateWeight[0]/SymmetricQuantizer[op]/symmetric_quantize_0" -> "240 MobileNetV3/Sequential[classifier]/NNCFLinear[0]/linear_0"; -"240 MobileNetV3/Sequential[classifier]/NNCFLinear[0]/linear_0" -> "241 MobileNetV3/Sequential[classifier]/Hardswish[1]/hardswish_0"; -"241 MobileNetV3/Sequential[classifier]/Hardswish[1]/hardswish_0" -> "242 MobileNetV3/Sequential[classifier]/Hardswish[1]/SymmetricQuantizer/symmetric_quantize_0"; -"242 MobileNetV3/Sequential[classifier]/Hardswish[1]/SymmetricQuantizer/symmetric_quantize_0" -> "243 MobileNetV3/Sequential[classifier]/Dropout[2]/dropout_0"; -"243 MobileNetV3/Sequential[classifier]/Dropout[2]/dropout_0" -> "245 MobileNetV3/Sequential[classifier]/NNCFLinear[3]/linear_0"; -"244 MobileNetV3/Sequential[classifier]/NNCFLinear[3]/ModuleDict[pre_ops]/UpdateWeight[0]/SymmetricQuantizer[op]/symmetric_quantize_0" -> "245 MobileNetV3/Sequential[classifier]/NNCFLinear[3]/linear_0"; -"245 MobileNetV3/Sequential[classifier]/NNCFLinear[3]/linear_0" -> "246 /nncf_model_output_0"; +"11 MobileNetV3/Sequential[features]/InvertedResidual[1]/Sequential[block]/ConvBNActivation[0]/ReLU[2]/SymmetricQuantizer/symmetric_quantize_0" -> "22 MobileNetV3/Sequential[features]/InvertedResidual[1]/Sequential[block]/SqueezeExcitation[1]/__mul___0"; +"12 MobileNetV3/Sequential[features]/InvertedResidual[1]/Sequential[block]/SqueezeExcitation[1]/adaptive_avg_pool2d_0" -> "13 MobileNetV3/Sequential[features]/InvertedResidual[1]/Sequential[block]/SqueezeExcitation[1]/SymmetricQuantizer/symmetric_quantize_0"; +"13 MobileNetV3/Sequential[features]/InvertedResidual[1]/Sequential[block]/SqueezeExcitation[1]/SymmetricQuantizer/symmetric_quantize_0" -> "15 MobileNetV3/Sequential[features]/InvertedResidual[1]/Sequential[block]/SqueezeExcitation[1]/NNCFConv2d[fc1]/conv2d_0"; +"14 MobileNetV3/Sequential[features]/InvertedResidual[1]/Sequential[block]/SqueezeExcitation[1]/NNCFConv2d[fc1]/ModuleDict[pre_ops]/UpdateWeight[0]/SymmetricQuantizer[op]/symmetric_quantize_0" -> "15 MobileNetV3/Sequential[features]/InvertedResidual[1]/Sequential[block]/SqueezeExcitation[1]/NNCFConv2d[fc1]/conv2d_0"; +"15 MobileNetV3/Sequential[features]/InvertedResidual[1]/Sequential[block]/SqueezeExcitation[1]/NNCFConv2d[fc1]/conv2d_0" -> "16 MobileNetV3/Sequential[features]/InvertedResidual[1]/Sequential[block]/SqueezeExcitation[1]/ReLU[relu]/relu__0"; +"16 MobileNetV3/Sequential[features]/InvertedResidual[1]/Sequential[block]/SqueezeExcitation[1]/ReLU[relu]/relu__0" -> "17 MobileNetV3/Sequential[features]/InvertedResidual[1]/Sequential[block]/SqueezeExcitation[1]/ReLU[relu]/SymmetricQuantizer/symmetric_quantize_0"; +"17 MobileNetV3/Sequential[features]/InvertedResidual[1]/Sequential[block]/SqueezeExcitation[1]/ReLU[relu]/SymmetricQuantizer/symmetric_quantize_0" -> "19 MobileNetV3/Sequential[features]/InvertedResidual[1]/Sequential[block]/SqueezeExcitation[1]/NNCFConv2d[fc2]/conv2d_0"; +"18 MobileNetV3/Sequential[features]/InvertedResidual[1]/Sequential[block]/SqueezeExcitation[1]/NNCFConv2d[fc2]/ModuleDict[pre_ops]/UpdateWeight[0]/SymmetricQuantizer[op]/symmetric_quantize_0" -> "19 MobileNetV3/Sequential[features]/InvertedResidual[1]/Sequential[block]/SqueezeExcitation[1]/NNCFConv2d[fc2]/conv2d_0"; +"19 MobileNetV3/Sequential[features]/InvertedResidual[1]/Sequential[block]/SqueezeExcitation[1]/NNCFConv2d[fc2]/conv2d_0" -> "20 MobileNetV3/Sequential[features]/InvertedResidual[1]/Sequential[block]/SqueezeExcitation[1]/hardsigmoid_0"; +"20 MobileNetV3/Sequential[features]/InvertedResidual[1]/Sequential[block]/SqueezeExcitation[1]/hardsigmoid_0" -> "21 MobileNetV3/Sequential[features]/InvertedResidual[1]/Sequential[block]/SqueezeExcitation[1]/SymmetricQuantizer/symmetric_quantize_1"; +"21 MobileNetV3/Sequential[features]/InvertedResidual[1]/Sequential[block]/SqueezeExcitation[1]/SymmetricQuantizer/symmetric_quantize_1" -> "22 MobileNetV3/Sequential[features]/InvertedResidual[1]/Sequential[block]/SqueezeExcitation[1]/__mul___0"; +"22 MobileNetV3/Sequential[features]/InvertedResidual[1]/Sequential[block]/SqueezeExcitation[1]/__mul___0" -> "23 MobileNetV3/Sequential[features]/InvertedResidual[1]/Sequential[block]/SqueezeExcitation[1]/SymmetricQuantizer/symmetric_quantize_2"; +"23 MobileNetV3/Sequential[features]/InvertedResidual[1]/Sequential[block]/SqueezeExcitation[1]/SymmetricQuantizer/symmetric_quantize_2" -> "25 MobileNetV3/Sequential[features]/InvertedResidual[1]/Sequential[block]/ConvBNActivation[2]/NNCFConv2d[0]/conv2d_0"; +"24 MobileNetV3/Sequential[features]/InvertedResidual[1]/Sequential[block]/ConvBNActivation[2]/NNCFConv2d[0]/ModuleDict[pre_ops]/UpdateWeight[0]/SymmetricQuantizer[op]/symmetric_quantize_0" -> "25 MobileNetV3/Sequential[features]/InvertedResidual[1]/Sequential[block]/ConvBNActivation[2]/NNCFConv2d[0]/conv2d_0"; +"25 MobileNetV3/Sequential[features]/InvertedResidual[1]/Sequential[block]/ConvBNActivation[2]/NNCFConv2d[0]/conv2d_0" -> "26 MobileNetV3/Sequential[features]/InvertedResidual[1]/Sequential[block]/ConvBNActivation[2]/NNCFBatchNorm2d[1]/batch_norm_0"; +"26 MobileNetV3/Sequential[features]/InvertedResidual[1]/Sequential[block]/ConvBNActivation[2]/NNCFBatchNorm2d[1]/batch_norm_0" -> "27 MobileNetV3/Sequential[features]/InvertedResidual[1]/Sequential[block]/ConvBNActivation[2]/NNCFBatchNorm2d[1]/SymmetricQuantizer/symmetric_quantize_0"; +"27 MobileNetV3/Sequential[features]/InvertedResidual[1]/Sequential[block]/ConvBNActivation[2]/NNCFBatchNorm2d[1]/SymmetricQuantizer/symmetric_quantize_0" -> "29 MobileNetV3/Sequential[features]/InvertedResidual[2]/Sequential[block]/ConvBNActivation[0]/NNCFConv2d[0]/conv2d_0"; +"28 MobileNetV3/Sequential[features]/InvertedResidual[2]/Sequential[block]/ConvBNActivation[0]/NNCFConv2d[0]/ModuleDict[pre_ops]/UpdateWeight[0]/SymmetricQuantizer[op]/symmetric_quantize_0" -> "29 MobileNetV3/Sequential[features]/InvertedResidual[2]/Sequential[block]/ConvBNActivation[0]/NNCFConv2d[0]/conv2d_0"; +"29 MobileNetV3/Sequential[features]/InvertedResidual[2]/Sequential[block]/ConvBNActivation[0]/NNCFConv2d[0]/conv2d_0" -> "30 MobileNetV3/Sequential[features]/InvertedResidual[2]/Sequential[block]/ConvBNActivation[0]/NNCFBatchNorm2d[1]/batch_norm_0"; +"30 MobileNetV3/Sequential[features]/InvertedResidual[2]/Sequential[block]/ConvBNActivation[0]/NNCFBatchNorm2d[1]/batch_norm_0" -> "31 MobileNetV3/Sequential[features]/InvertedResidual[2]/Sequential[block]/ConvBNActivation[0]/ReLU[2]/relu__0"; +"31 MobileNetV3/Sequential[features]/InvertedResidual[2]/Sequential[block]/ConvBNActivation[0]/ReLU[2]/relu__0" -> "32 MobileNetV3/Sequential[features]/InvertedResidual[2]/Sequential[block]/ConvBNActivation[0]/ReLU[2]/SymmetricQuantizer/symmetric_quantize_0"; +"32 MobileNetV3/Sequential[features]/InvertedResidual[2]/Sequential[block]/ConvBNActivation[0]/ReLU[2]/SymmetricQuantizer/symmetric_quantize_0" -> "34 MobileNetV3/Sequential[features]/InvertedResidual[2]/Sequential[block]/ConvBNActivation[1]/NNCFConv2d[0]/conv2d_0"; +"33 MobileNetV3/Sequential[features]/InvertedResidual[2]/Sequential[block]/ConvBNActivation[1]/NNCFConv2d[0]/ModuleDict[pre_ops]/UpdateWeight[0]/SymmetricQuantizer[op]/symmetric_quantize_0" -> "34 MobileNetV3/Sequential[features]/InvertedResidual[2]/Sequential[block]/ConvBNActivation[1]/NNCFConv2d[0]/conv2d_0"; +"34 MobileNetV3/Sequential[features]/InvertedResidual[2]/Sequential[block]/ConvBNActivation[1]/NNCFConv2d[0]/conv2d_0" -> "35 MobileNetV3/Sequential[features]/InvertedResidual[2]/Sequential[block]/ConvBNActivation[1]/NNCFBatchNorm2d[1]/batch_norm_0"; +"35 MobileNetV3/Sequential[features]/InvertedResidual[2]/Sequential[block]/ConvBNActivation[1]/NNCFBatchNorm2d[1]/batch_norm_0" -> "36 MobileNetV3/Sequential[features]/InvertedResidual[2]/Sequential[block]/ConvBNActivation[1]/ReLU[2]/relu__0"; +"36 MobileNetV3/Sequential[features]/InvertedResidual[2]/Sequential[block]/ConvBNActivation[1]/ReLU[2]/relu__0" -> "37 MobileNetV3/Sequential[features]/InvertedResidual[2]/Sequential[block]/ConvBNActivation[1]/ReLU[2]/SymmetricQuantizer/symmetric_quantize_0"; +"37 MobileNetV3/Sequential[features]/InvertedResidual[2]/Sequential[block]/ConvBNActivation[1]/ReLU[2]/SymmetricQuantizer/symmetric_quantize_0" -> "39 MobileNetV3/Sequential[features]/InvertedResidual[2]/Sequential[block]/ConvBNActivation[2]/NNCFConv2d[0]/conv2d_0"; +"38 MobileNetV3/Sequential[features]/InvertedResidual[2]/Sequential[block]/ConvBNActivation[2]/NNCFConv2d[0]/ModuleDict[pre_ops]/UpdateWeight[0]/SymmetricQuantizer[op]/symmetric_quantize_0" -> "39 MobileNetV3/Sequential[features]/InvertedResidual[2]/Sequential[block]/ConvBNActivation[2]/NNCFConv2d[0]/conv2d_0"; +"39 MobileNetV3/Sequential[features]/InvertedResidual[2]/Sequential[block]/ConvBNActivation[2]/NNCFConv2d[0]/conv2d_0" -> "40 MobileNetV3/Sequential[features]/InvertedResidual[2]/Sequential[block]/ConvBNActivation[2]/NNCFBatchNorm2d[1]/batch_norm_0"; +"40 MobileNetV3/Sequential[features]/InvertedResidual[2]/Sequential[block]/ConvBNActivation[2]/NNCFBatchNorm2d[1]/batch_norm_0" -> "41 MobileNetV3/Sequential[features]/InvertedResidual[2]/Sequential[block]/ConvBNActivation[2]/NNCFBatchNorm2d[1]/SymmetricQuantizer/symmetric_quantize_0"; +"41 MobileNetV3/Sequential[features]/InvertedResidual[2]/Sequential[block]/ConvBNActivation[2]/NNCFBatchNorm2d[1]/SymmetricQuantizer/symmetric_quantize_0" -> "43 MobileNetV3/Sequential[features]/InvertedResidual[3]/Sequential[block]/ConvBNActivation[0]/NNCFConv2d[0]/conv2d_0"; +"41 MobileNetV3/Sequential[features]/InvertedResidual[2]/Sequential[block]/ConvBNActivation[2]/NNCFBatchNorm2d[1]/SymmetricQuantizer/symmetric_quantize_0" -> "56 MobileNetV3/Sequential[features]/InvertedResidual[3]/__iadd___0"; +"42 MobileNetV3/Sequential[features]/InvertedResidual[3]/Sequential[block]/ConvBNActivation[0]/NNCFConv2d[0]/ModuleDict[pre_ops]/UpdateWeight[0]/SymmetricQuantizer[op]/symmetric_quantize_0" -> "43 MobileNetV3/Sequential[features]/InvertedResidual[3]/Sequential[block]/ConvBNActivation[0]/NNCFConv2d[0]/conv2d_0"; +"43 MobileNetV3/Sequential[features]/InvertedResidual[3]/Sequential[block]/ConvBNActivation[0]/NNCFConv2d[0]/conv2d_0" -> "44 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MobileNetV3/Sequential[features]/InvertedResidual[11]/Sequential[block]/SqueezeExcitation[2]/__mul___0"; +"258 MobileNetV3/Sequential[features]/InvertedResidual[11]/Sequential[block]/SqueezeExcitation[2]/adaptive_avg_pool2d_0" -> "259 MobileNetV3/Sequential[features]/InvertedResidual[11]/Sequential[block]/SqueezeExcitation[2]/SymmetricQuantizer/symmetric_quantize_0"; +"259 MobileNetV3/Sequential[features]/InvertedResidual[11]/Sequential[block]/SqueezeExcitation[2]/SymmetricQuantizer/symmetric_quantize_0" -> "261 MobileNetV3/Sequential[features]/InvertedResidual[11]/Sequential[block]/SqueezeExcitation[2]/NNCFConv2d[fc1]/conv2d_0"; +"260 MobileNetV3/Sequential[features]/InvertedResidual[11]/Sequential[block]/SqueezeExcitation[2]/NNCFConv2d[fc1]/ModuleDict[pre_ops]/UpdateWeight[0]/SymmetricQuantizer[op]/symmetric_quantize_0" -> "261 MobileNetV3/Sequential[features]/InvertedResidual[11]/Sequential[block]/SqueezeExcitation[2]/NNCFConv2d[fc1]/conv2d_0"; +"261 MobileNetV3/Sequential[features]/InvertedResidual[11]/Sequential[block]/SqueezeExcitation[2]/NNCFConv2d[fc1]/conv2d_0" -> "262 MobileNetV3/Sequential[features]/InvertedResidual[11]/Sequential[block]/SqueezeExcitation[2]/ReLU[relu]/relu__0"; +"262 MobileNetV3/Sequential[features]/InvertedResidual[11]/Sequential[block]/SqueezeExcitation[2]/ReLU[relu]/relu__0" -> "263 MobileNetV3/Sequential[features]/InvertedResidual[11]/Sequential[block]/SqueezeExcitation[2]/ReLU[relu]/SymmetricQuantizer/symmetric_quantize_0"; +"263 MobileNetV3/Sequential[features]/InvertedResidual[11]/Sequential[block]/SqueezeExcitation[2]/ReLU[relu]/SymmetricQuantizer/symmetric_quantize_0" -> "265 MobileNetV3/Sequential[features]/InvertedResidual[11]/Sequential[block]/SqueezeExcitation[2]/NNCFConv2d[fc2]/conv2d_0"; +"264 MobileNetV3/Sequential[features]/InvertedResidual[11]/Sequential[block]/SqueezeExcitation[2]/NNCFConv2d[fc2]/ModuleDict[pre_ops]/UpdateWeight[0]/SymmetricQuantizer[op]/symmetric_quantize_0" -> "265 MobileNetV3/Sequential[features]/InvertedResidual[11]/Sequential[block]/SqueezeExcitation[2]/NNCFConv2d[fc2]/conv2d_0"; +"265 MobileNetV3/Sequential[features]/InvertedResidual[11]/Sequential[block]/SqueezeExcitation[2]/NNCFConv2d[fc2]/conv2d_0" -> "266 MobileNetV3/Sequential[features]/InvertedResidual[11]/Sequential[block]/SqueezeExcitation[2]/hardsigmoid_0"; +"266 MobileNetV3/Sequential[features]/InvertedResidual[11]/Sequential[block]/SqueezeExcitation[2]/hardsigmoid_0" -> "267 MobileNetV3/Sequential[features]/InvertedResidual[11]/Sequential[block]/SqueezeExcitation[2]/SymmetricQuantizer/symmetric_quantize_1"; +"267 MobileNetV3/Sequential[features]/InvertedResidual[11]/Sequential[block]/SqueezeExcitation[2]/SymmetricQuantizer/symmetric_quantize_1" -> "268 MobileNetV3/Sequential[features]/InvertedResidual[11]/Sequential[block]/SqueezeExcitation[2]/__mul___0"; +"268 MobileNetV3/Sequential[features]/InvertedResidual[11]/Sequential[block]/SqueezeExcitation[2]/__mul___0" -> "269 MobileNetV3/Sequential[features]/InvertedResidual[11]/Sequential[block]/SqueezeExcitation[2]/SymmetricQuantizer/symmetric_quantize_2"; +"269 MobileNetV3/Sequential[features]/InvertedResidual[11]/Sequential[block]/SqueezeExcitation[2]/SymmetricQuantizer/symmetric_quantize_2" -> "271 MobileNetV3/Sequential[features]/InvertedResidual[11]/Sequential[block]/ConvBNActivation[3]/NNCFConv2d[0]/conv2d_0"; +"270 MobileNetV3/Sequential[features]/InvertedResidual[11]/Sequential[block]/ConvBNActivation[3]/NNCFConv2d[0]/ModuleDict[pre_ops]/UpdateWeight[0]/SymmetricQuantizer[op]/symmetric_quantize_0" -> "271 MobileNetV3/Sequential[features]/InvertedResidual[11]/Sequential[block]/ConvBNActivation[3]/NNCFConv2d[0]/conv2d_0"; +"271 MobileNetV3/Sequential[features]/InvertedResidual[11]/Sequential[block]/ConvBNActivation[3]/NNCFConv2d[0]/conv2d_0" -> "272 MobileNetV3/Sequential[features]/InvertedResidual[11]/Sequential[block]/ConvBNActivation[3]/NNCFBatchNorm2d[1]/batch_norm_0"; +"272 MobileNetV3/Sequential[features]/InvertedResidual[11]/Sequential[block]/ConvBNActivation[3]/NNCFBatchNorm2d[1]/batch_norm_0" -> "273 MobileNetV3/Sequential[features]/InvertedResidual[11]/Sequential[block]/ConvBNActivation[3]/NNCFBatchNorm2d[1]/SymmetricQuantizer/symmetric_quantize_0"; +"273 MobileNetV3/Sequential[features]/InvertedResidual[11]/Sequential[block]/ConvBNActivation[3]/NNCFBatchNorm2d[1]/SymmetricQuantizer/symmetric_quantize_0" -> "274 MobileNetV3/Sequential[features]/InvertedResidual[11]/__iadd___0"; +"274 MobileNetV3/Sequential[features]/InvertedResidual[11]/__iadd___0" -> "275 MobileNetV3/Sequential[features]/InvertedResidual[11]/SymmetricQuantizer/symmetric_quantize_0"; +"275 MobileNetV3/Sequential[features]/InvertedResidual[11]/SymmetricQuantizer/symmetric_quantize_0" -> "277 MobileNetV3/Sequential[features]/ConvBNActivation[12]/NNCFConv2d[0]/conv2d_0"; +"276 MobileNetV3/Sequential[features]/ConvBNActivation[12]/NNCFConv2d[0]/ModuleDict[pre_ops]/UpdateWeight[0]/SymmetricQuantizer[op]/symmetric_quantize_0" -> "277 MobileNetV3/Sequential[features]/ConvBNActivation[12]/NNCFConv2d[0]/conv2d_0"; +"277 MobileNetV3/Sequential[features]/ConvBNActivation[12]/NNCFConv2d[0]/conv2d_0" -> "278 MobileNetV3/Sequential[features]/ConvBNActivation[12]/NNCFBatchNorm2d[1]/batch_norm_0"; +"278 MobileNetV3/Sequential[features]/ConvBNActivation[12]/NNCFBatchNorm2d[1]/batch_norm_0" -> "279 MobileNetV3/Sequential[features]/ConvBNActivation[12]/Hardswish[2]/hardswish_0"; +"279 MobileNetV3/Sequential[features]/ConvBNActivation[12]/Hardswish[2]/hardswish_0" -> "280 MobileNetV3/Sequential[features]/ConvBNActivation[12]/Hardswish[2]/SymmetricQuantizer/symmetric_quantize_0"; +"280 MobileNetV3/Sequential[features]/ConvBNActivation[12]/Hardswish[2]/SymmetricQuantizer/symmetric_quantize_0" -> "281 MobileNetV3/AdaptiveAvgPool2d[avgpool]/adaptive_avg_pool2d_0"; +"281 MobileNetV3/AdaptiveAvgPool2d[avgpool]/adaptive_avg_pool2d_0" -> "282 MobileNetV3/AdaptiveAvgPool2d[avgpool]/SymmetricQuantizer/symmetric_quantize_0"; +"282 MobileNetV3/AdaptiveAvgPool2d[avgpool]/SymmetricQuantizer/symmetric_quantize_0" -> "283 MobileNetV3/flatten_0"; +"283 MobileNetV3/flatten_0" -> "285 MobileNetV3/Sequential[classifier]/NNCFLinear[0]/linear_0"; +"284 MobileNetV3/Sequential[classifier]/NNCFLinear[0]/ModuleDict[pre_ops]/UpdateWeight[0]/SymmetricQuantizer[op]/symmetric_quantize_0" -> "285 MobileNetV3/Sequential[classifier]/NNCFLinear[0]/linear_0"; +"285 MobileNetV3/Sequential[classifier]/NNCFLinear[0]/linear_0" -> "286 MobileNetV3/Sequential[classifier]/Hardswish[1]/hardswish_0"; +"286 MobileNetV3/Sequential[classifier]/Hardswish[1]/hardswish_0" -> "287 MobileNetV3/Sequential[classifier]/Hardswish[1]/SymmetricQuantizer/symmetric_quantize_0"; +"287 MobileNetV3/Sequential[classifier]/Hardswish[1]/SymmetricQuantizer/symmetric_quantize_0" -> "288 MobileNetV3/Sequential[classifier]/Dropout[2]/dropout_0"; +"288 MobileNetV3/Sequential[classifier]/Dropout[2]/dropout_0" -> "290 MobileNetV3/Sequential[classifier]/NNCFLinear[3]/linear_0"; +"289 MobileNetV3/Sequential[classifier]/NNCFLinear[3]/ModuleDict[pre_ops]/UpdateWeight[0]/SymmetricQuantizer[op]/symmetric_quantize_0" -> "290 MobileNetV3/Sequential[classifier]/NNCFLinear[3]/linear_0"; +"290 MobileNetV3/Sequential[classifier]/NNCFLinear[3]/linear_0" -> "291 /nncf_model_output_0"; } diff --git a/tests/torch/data/reference_graphs/quantized/symmetric/senet18.dot b/tests/torch/data/reference_graphs/quantized/symmetric/senet18.dot index ee8803f9940..324e6a3e0d1 100644 --- a/tests/torch/data/reference_graphs/quantized/symmetric/senet18.dot +++ b/tests/torch/data/reference_graphs/quantized/symmetric/senet18.dot @@ -18,166 +18,206 @@ strict digraph { "16 SENet/Sequential[layer1]/PreActBlock[0]/NNCFConv2d[conv2]/conv2d_0" [id=16, type=conv2d]; "17 SENet/Sequential[layer1]/PreActBlock[0]/NNCFConv2d[conv2]/SymmetricQuantizer/symmetric_quantize_0" [id=17, type=symmetric_quantize]; "18 SENet/Sequential[layer1]/PreActBlock[0]/avg_pool2d_0" [id=18, type=avg_pool2d]; -"19 SENet/Sequential[layer1]/PreActBlock[0]/NNCFConv2d[fc1]/conv2d_0" [id=19, type=conv2d]; -"20 SENet/Sequential[layer1]/PreActBlock[0]/relu_2" [id=20, type=relu]; -"21 SENet/Sequential[layer1]/PreActBlock[0]/NNCFConv2d[fc2]/conv2d_0" [id=21, type=conv2d]; -"22 SENet/Sequential[layer1]/PreActBlock[0]/sigmoid_0" [id=22, type=sigmoid]; -"23 SENet/Sequential[layer1]/PreActBlock[0]/__mul___0" [id=23, type=__mul__]; -"24 SENet/Sequential[layer1]/PreActBlock[0]/SymmetricQuantizer/symmetric_quantize_2" [id=24, type=symmetric_quantize]; -"25 SENet/Sequential[layer1]/PreActBlock[0]/__iadd___0" [id=25, type=__iadd__]; -"26 SENet/Sequential[layer1]/PreActBlock[0]/SymmetricQuantizer/symmetric_quantize_3" [id=26, type=symmetric_quantize]; -"27 SENet/Sequential[layer1]/PreActBlock[1]/NNCFBatchNorm2d[bn1]/batch_norm_0" [id=27, type=batch_norm]; -"28 SENet/Sequential[layer1]/PreActBlock[1]/relu_0" [id=28, type=relu]; -"29 SENet/Sequential[layer1]/PreActBlock[1]/SymmetricQuantizer/symmetric_quantize_0" [id=29, type=symmetric_quantize]; -"30 SENet/Sequential[layer1]/PreActBlock[1]/NNCFConv2d[conv1]/ModuleDict[pre_ops]/UpdateWeight[0]/SymmetricQuantizer[op]/symmetric_quantize_0" [id=30, type=symmetric_quantize]; -"31 SENet/Sequential[layer1]/PreActBlock[1]/NNCFConv2d[conv1]/conv2d_0" [id=31, type=conv2d]; -"32 SENet/Sequential[layer1]/PreActBlock[1]/NNCFBatchNorm2d[bn2]/batch_norm_0" [id=32, type=batch_norm]; -"33 SENet/Sequential[layer1]/PreActBlock[1]/relu_1" [id=33, type=relu]; -"34 SENet/Sequential[layer1]/PreActBlock[1]/SymmetricQuantizer/symmetric_quantize_1" [id=34, type=symmetric_quantize]; -"35 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[id=19, type=symmetric_quantize]; +"20 SENet/Sequential[layer1]/PreActBlock[0]/NNCFConv2d[fc1]/ModuleDict[pre_ops]/UpdateWeight[0]/SymmetricQuantizer[op]/symmetric_quantize_0" [id=20, type=symmetric_quantize]; +"21 SENet/Sequential[layer1]/PreActBlock[0]/NNCFConv2d[fc1]/conv2d_0" [id=21, type=conv2d]; +"22 SENet/Sequential[layer1]/PreActBlock[0]/relu_2" [id=22, type=relu]; +"23 SENet/Sequential[layer1]/PreActBlock[0]/SymmetricQuantizer/symmetric_quantize_3" [id=23, type=symmetric_quantize]; +"24 SENet/Sequential[layer1]/PreActBlock[0]/NNCFConv2d[fc2]/ModuleDict[pre_ops]/UpdateWeight[0]/SymmetricQuantizer[op]/symmetric_quantize_0" [id=24, type=symmetric_quantize]; +"25 SENet/Sequential[layer1]/PreActBlock[0]/NNCFConv2d[fc2]/conv2d_0" [id=25, type=conv2d]; +"26 SENet/Sequential[layer1]/PreActBlock[0]/sigmoid_0" [id=26, type=sigmoid]; +"27 SENet/Sequential[layer1]/PreActBlock[0]/SymmetricQuantizer/symmetric_quantize_4" [id=27, type=symmetric_quantize]; +"28 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SENet/Sequential[layer3]/PreActBlock[0]/NNCFConv2d[fc2]/ModuleDict[pre_ops]/UpdateWeight[0]/SymmetricQuantizer[op]/symmetric_quantize_0" [id=128, type=symmetric_quantize]; +"129 SENet/Sequential[layer3]/PreActBlock[0]/NNCFConv2d[fc2]/conv2d_0" [id=129, type=conv2d]; +"130 SENet/Sequential[layer3]/PreActBlock[0]/sigmoid_0" [id=130, type=sigmoid]; +"131 SENet/Sequential[layer3]/PreActBlock[0]/SymmetricQuantizer/symmetric_quantize_4" [id=131, type=symmetric_quantize]; +"132 SENet/Sequential[layer3]/PreActBlock[0]/__mul___0" [id=132, type=__mul__]; +"133 SENet/Sequential[layer3]/PreActBlock[0]/SymmetricQuantizer/symmetric_quantize_5" [id=133, type=symmetric_quantize]; +"134 SENet/Sequential[layer3]/PreActBlock[0]/__iadd___0" [id=134, type=__iadd__]; +"135 SENet/Sequential[layer3]/PreActBlock[0]/SymmetricQuantizer/symmetric_quantize_6" [id=135, type=symmetric_quantize]; +"136 SENet/Sequential[layer3]/PreActBlock[1]/NNCFBatchNorm2d[bn1]/batch_norm_0" [id=136, type=batch_norm]; +"137 SENet/Sequential[layer3]/PreActBlock[1]/relu_0" [id=137, type=relu]; +"138 SENet/Sequential[layer3]/PreActBlock[1]/SymmetricQuantizer/symmetric_quantize_0" [id=138, type=symmetric_quantize]; +"139 SENet/Sequential[layer3]/PreActBlock[1]/NNCFConv2d[conv1]/ModuleDict[pre_ops]/UpdateWeight[0]/SymmetricQuantizer[op]/symmetric_quantize_0" [id=139, type=symmetric_quantize]; +"140 SENet/Sequential[layer3]/PreActBlock[1]/NNCFConv2d[conv1]/conv2d_0" [id=140, type=conv2d]; +"141 SENet/Sequential[layer3]/PreActBlock[1]/NNCFBatchNorm2d[bn2]/batch_norm_0" [id=141, type=batch_norm]; +"142 SENet/Sequential[layer3]/PreActBlock[1]/relu_1" [id=142, type=relu]; +"143 SENet/Sequential[layer3]/PreActBlock[1]/SymmetricQuantizer/symmetric_quantize_1" [id=143, type=symmetric_quantize]; +"144 SENet/Sequential[layer3]/PreActBlock[1]/NNCFConv2d[conv2]/ModuleDict[pre_ops]/UpdateWeight[0]/SymmetricQuantizer[op]/symmetric_quantize_0" [id=144, type=symmetric_quantize]; +"145 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SENet/Sequential[layer3]/PreActBlock[1]/NNCFConv2d[fc2]/ModuleDict[pre_ops]/UpdateWeight[0]/SymmetricQuantizer[op]/symmetric_quantize_0" [id=153, type=symmetric_quantize]; +"154 SENet/Sequential[layer3]/PreActBlock[1]/NNCFConv2d[fc2]/conv2d_0" [id=154, type=conv2d]; +"155 SENet/Sequential[layer3]/PreActBlock[1]/sigmoid_0" [id=155, type=sigmoid]; +"156 SENet/Sequential[layer3]/PreActBlock[1]/SymmetricQuantizer/symmetric_quantize_4" [id=156, type=symmetric_quantize]; +"157 SENet/Sequential[layer3]/PreActBlock[1]/__mul___0" [id=157, type=__mul__]; +"158 SENet/Sequential[layer3]/PreActBlock[1]/SymmetricQuantizer/symmetric_quantize_5" [id=158, type=symmetric_quantize]; +"159 SENet/Sequential[layer3]/PreActBlock[1]/__iadd___0" [id=159, type=__iadd__]; +"160 SENet/Sequential[layer4]/PreActBlock[0]/NNCFBatchNorm2d[bn1]/batch_norm_0" [id=160, type=batch_norm]; +"161 SENet/Sequential[layer4]/PreActBlock[0]/relu_0" [id=161, type=relu]; +"162 SENet/Sequential[layer4]/PreActBlock[0]/SymmetricQuantizer/symmetric_quantize_0" [id=162, type=symmetric_quantize]; +"163 SENet/Sequential[layer4]/PreActBlock[0]/Sequential[shortcut]/NNCFConv2d[0]/ModuleDict[pre_ops]/UpdateWeight[0]/SymmetricQuantizer[op]/symmetric_quantize_0" [id=163, type=symmetric_quantize]; +"164 SENet/Sequential[layer4]/PreActBlock[0]/Sequential[shortcut]/NNCFConv2d[0]/conv2d_0" [id=164, type=conv2d]; +"165 SENet/Sequential[layer4]/PreActBlock[0]/Sequential[shortcut]/NNCFConv2d[0]/SymmetricQuantizer/symmetric_quantize_0" [id=165, type=symmetric_quantize]; +"166 SENet/Sequential[layer4]/PreActBlock[0]/NNCFConv2d[conv1]/ModuleDict[pre_ops]/UpdateWeight[0]/SymmetricQuantizer[op]/symmetric_quantize_0" [id=166, type=symmetric_quantize]; +"167 SENet/Sequential[layer4]/PreActBlock[0]/NNCFConv2d[conv1]/conv2d_0" [id=167, type=conv2d]; +"168 SENet/Sequential[layer4]/PreActBlock[0]/NNCFBatchNorm2d[bn2]/batch_norm_0" [id=168, type=batch_norm]; +"169 SENet/Sequential[layer4]/PreActBlock[0]/relu_1" [id=169, type=relu]; +"170 SENet/Sequential[layer4]/PreActBlock[0]/SymmetricQuantizer/symmetric_quantize_1" [id=170, type=symmetric_quantize]; +"171 SENet/Sequential[layer4]/PreActBlock[0]/NNCFConv2d[conv2]/ModuleDict[pre_ops]/UpdateWeight[0]/SymmetricQuantizer[op]/symmetric_quantize_0" [id=171, type=symmetric_quantize]; +"172 SENet/Sequential[layer4]/PreActBlock[0]/NNCFConv2d[conv2]/conv2d_0" [id=172, type=conv2d]; +"173 SENet/Sequential[layer4]/PreActBlock[0]/NNCFConv2d[conv2]/SymmetricQuantizer/symmetric_quantize_0" [id=173, type=symmetric_quantize]; +"174 SENet/Sequential[layer4]/PreActBlock[0]/avg_pool2d_0" [id=174, type=avg_pool2d]; +"175 SENet/Sequential[layer4]/PreActBlock[0]/SymmetricQuantizer/symmetric_quantize_2" [id=175, type=symmetric_quantize]; +"176 SENet/Sequential[layer4]/PreActBlock[0]/NNCFConv2d[fc1]/ModuleDict[pre_ops]/UpdateWeight[0]/SymmetricQuantizer[op]/symmetric_quantize_0" [id=176, type=symmetric_quantize]; +"177 SENet/Sequential[layer4]/PreActBlock[0]/NNCFConv2d[fc1]/conv2d_0" [id=177, type=conv2d]; +"178 SENet/Sequential[layer4]/PreActBlock[0]/relu_2" [id=178, type=relu]; +"179 SENet/Sequential[layer4]/PreActBlock[0]/SymmetricQuantizer/symmetric_quantize_3" [id=179, type=symmetric_quantize]; +"180 SENet/Sequential[layer4]/PreActBlock[0]/NNCFConv2d[fc2]/ModuleDict[pre_ops]/UpdateWeight[0]/SymmetricQuantizer[op]/symmetric_quantize_0" [id=180, type=symmetric_quantize]; +"181 SENet/Sequential[layer4]/PreActBlock[0]/NNCFConv2d[fc2]/conv2d_0" [id=181, type=conv2d]; +"182 SENet/Sequential[layer4]/PreActBlock[0]/sigmoid_0" [id=182, type=sigmoid]; +"183 SENet/Sequential[layer4]/PreActBlock[0]/SymmetricQuantizer/symmetric_quantize_4" [id=183, type=symmetric_quantize]; +"184 SENet/Sequential[layer4]/PreActBlock[0]/__mul___0" [id=184, type=__mul__]; +"185 SENet/Sequential[layer4]/PreActBlock[0]/SymmetricQuantizer/symmetric_quantize_5" [id=185, type=symmetric_quantize]; +"186 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SENet/Sequential[layer4]/PreActBlock[1]/SymmetricQuantizer/symmetric_quantize_1" [id=195, type=symmetric_quantize]; +"196 SENet/Sequential[layer4]/PreActBlock[1]/NNCFConv2d[conv2]/ModuleDict[pre_ops]/UpdateWeight[0]/SymmetricQuantizer[op]/symmetric_quantize_0" [id=196, type=symmetric_quantize]; +"197 SENet/Sequential[layer4]/PreActBlock[1]/NNCFConv2d[conv2]/conv2d_0" [id=197, type=conv2d]; +"198 SENet/Sequential[layer4]/PreActBlock[1]/NNCFConv2d[conv2]/SymmetricQuantizer/symmetric_quantize_0" [id=198, type=symmetric_quantize]; +"199 SENet/Sequential[layer4]/PreActBlock[1]/avg_pool2d_0" [id=199, type=avg_pool2d]; +"200 SENet/Sequential[layer4]/PreActBlock[1]/SymmetricQuantizer/symmetric_quantize_2" [id=200, type=symmetric_quantize]; +"201 SENet/Sequential[layer4]/PreActBlock[1]/NNCFConv2d[fc1]/ModuleDict[pre_ops]/UpdateWeight[0]/SymmetricQuantizer[op]/symmetric_quantize_0" [id=201, type=symmetric_quantize]; +"202 SENet/Sequential[layer4]/PreActBlock[1]/NNCFConv2d[fc1]/conv2d_0" [id=202, type=conv2d]; +"203 SENet/Sequential[layer4]/PreActBlock[1]/relu_2" [id=203, type=relu]; +"204 SENet/Sequential[layer4]/PreActBlock[1]/SymmetricQuantizer/symmetric_quantize_3" [id=204, type=symmetric_quantize]; +"205 SENet/Sequential[layer4]/PreActBlock[1]/NNCFConv2d[fc2]/ModuleDict[pre_ops]/UpdateWeight[0]/SymmetricQuantizer[op]/symmetric_quantize_0" [id=205, type=symmetric_quantize]; +"206 SENet/Sequential[layer4]/PreActBlock[1]/NNCFConv2d[fc2]/conv2d_0" [id=206, type=conv2d]; +"207 SENet/Sequential[layer4]/PreActBlock[1]/sigmoid_0" [id=207, type=sigmoid]; +"208 SENet/Sequential[layer4]/PreActBlock[1]/SymmetricQuantizer/symmetric_quantize_4" [id=208, type=symmetric_quantize]; +"209 SENet/Sequential[layer4]/PreActBlock[1]/__mul___0" [id=209, type=__mul__]; +"210 SENet/Sequential[layer4]/PreActBlock[1]/SymmetricQuantizer/symmetric_quantize_5" [id=210, type=symmetric_quantize]; +"211 SENet/Sequential[layer4]/PreActBlock[1]/__iadd___0" [id=211, type=__iadd__]; +"212 SENet/Sequential[layer4]/PreActBlock[1]/SymmetricQuantizer/symmetric_quantize_6" [id=212, type=symmetric_quantize]; +"213 SENet/avg_pool2d_0" [id=213, type=avg_pool2d]; +"214 SENet/NNCFNetworkInterface[_nncf]/ModuleDict[external_quantizers]/SymmetricQuantizer[SENet/avg_pool2d_0|OUTPUT]/symmetric_quantize_0" [id=214, type=symmetric_quantize]; +"215 SENet/view_0" [id=215, type=view]; +"216 SENet/NNCFLinear[linear]/ModuleDict[pre_ops]/UpdateWeight[0]/SymmetricQuantizer[op]/symmetric_quantize_0" [id=216, type=symmetric_quantize]; +"217 SENet/NNCFLinear[linear]/linear_0" [id=217, type=linear]; +"218 /nncf_model_output_0" [id=218, type=nncf_model_output]; "0 /nncf_model_input_0" -> "1 SymmetricQuantizer/symmetric_quantize_0"; "1 SymmetricQuantizer/symmetric_quantize_0" -> "3 SENet/NNCFConv2d[conv1]/conv2d_0"; "2 SENet/NNCFConv2d[conv1]/ModuleDict[pre_ops]/UpdateWeight[0]/SymmetricQuantizer[op]/symmetric_quantize_0" -> "3 SENet/NNCFConv2d[conv1]/conv2d_0"; @@ -185,7 +225,7 @@ strict digraph { "4 SENet/NNCFBatchNorm2d[bn1]/batch_norm_0" -> "5 SENet/relu_0"; "5 SENet/relu_0" -> "6 SENet/NNCFNetworkInterface[_nncf]/ModuleDict[external_quantizers]/SymmetricQuantizer[SENet/relu_0|OUTPUT]/symmetric_quantize_0"; "6 SENet/NNCFNetworkInterface[_nncf]/ModuleDict[external_quantizers]/SymmetricQuantizer[SENet/relu_0|OUTPUT]/symmetric_quantize_0" -> "7 SENet/Sequential[layer1]/PreActBlock[0]/NNCFBatchNorm2d[bn1]/batch_norm_0"; -"6 SENet/NNCFNetworkInterface[_nncf]/ModuleDict[external_quantizers]/SymmetricQuantizer[SENet/relu_0|OUTPUT]/symmetric_quantize_0" -> "25 SENet/Sequential[layer1]/PreActBlock[0]/__iadd___0"; +"6 SENet/NNCFNetworkInterface[_nncf]/ModuleDict[external_quantizers]/SymmetricQuantizer[SENet/relu_0|OUTPUT]/symmetric_quantize_0" -> "30 SENet/Sequential[layer1]/PreActBlock[0]/__iadd___0"; "7 SENet/Sequential[layer1]/PreActBlock[0]/NNCFBatchNorm2d[bn1]/batch_norm_0" -> "8 SENet/Sequential[layer1]/PreActBlock[0]/relu_0"; "8 SENet/Sequential[layer1]/PreActBlock[0]/relu_0" -> "9 SENet/Sequential[layer1]/PreActBlock[0]/SymmetricQuantizer/symmetric_quantize_0"; "9 SENet/Sequential[layer1]/PreActBlock[0]/SymmetricQuantizer/symmetric_quantize_0" -> "11 SENet/Sequential[layer1]/PreActBlock[0]/NNCFConv2d[conv1]/conv2d_0"; @@ -197,179 +237,219 @@ strict digraph { "15 SENet/Sequential[layer1]/PreActBlock[0]/NNCFConv2d[conv2]/ModuleDict[pre_ops]/UpdateWeight[0]/SymmetricQuantizer[op]/symmetric_quantize_0" -> "16 SENet/Sequential[layer1]/PreActBlock[0]/NNCFConv2d[conv2]/conv2d_0"; "16 SENet/Sequential[layer1]/PreActBlock[0]/NNCFConv2d[conv2]/conv2d_0" -> "17 SENet/Sequential[layer1]/PreActBlock[0]/NNCFConv2d[conv2]/SymmetricQuantizer/symmetric_quantize_0"; "17 SENet/Sequential[layer1]/PreActBlock[0]/NNCFConv2d[conv2]/SymmetricQuantizer/symmetric_quantize_0" -> "18 SENet/Sequential[layer1]/PreActBlock[0]/avg_pool2d_0"; -"17 SENet/Sequential[layer1]/PreActBlock[0]/NNCFConv2d[conv2]/SymmetricQuantizer/symmetric_quantize_0" -> "23 SENet/Sequential[layer1]/PreActBlock[0]/__mul___0"; -"18 SENet/Sequential[layer1]/PreActBlock[0]/avg_pool2d_0" -> "19 SENet/Sequential[layer1]/PreActBlock[0]/NNCFConv2d[fc1]/conv2d_0"; -"19 SENet/Sequential[layer1]/PreActBlock[0]/NNCFConv2d[fc1]/conv2d_0" -> "20 SENet/Sequential[layer1]/PreActBlock[0]/relu_2"; -"20 SENet/Sequential[layer1]/PreActBlock[0]/relu_2" -> "21 SENet/Sequential[layer1]/PreActBlock[0]/NNCFConv2d[fc2]/conv2d_0"; -"21 SENet/Sequential[layer1]/PreActBlock[0]/NNCFConv2d[fc2]/conv2d_0" -> "22 SENet/Sequential[layer1]/PreActBlock[0]/sigmoid_0"; -"22 SENet/Sequential[layer1]/PreActBlock[0]/sigmoid_0" -> "23 SENet/Sequential[layer1]/PreActBlock[0]/__mul___0"; -"23 SENet/Sequential[layer1]/PreActBlock[0]/__mul___0" -> "24 SENet/Sequential[layer1]/PreActBlock[0]/SymmetricQuantizer/symmetric_quantize_2"; -"24 SENet/Sequential[layer1]/PreActBlock[0]/SymmetricQuantizer/symmetric_quantize_2" -> "25 SENet/Sequential[layer1]/PreActBlock[0]/__iadd___0"; -"25 SENet/Sequential[layer1]/PreActBlock[0]/__iadd___0" -> "26 SENet/Sequential[layer1]/PreActBlock[0]/SymmetricQuantizer/symmetric_quantize_3"; -"26 SENet/Sequential[layer1]/PreActBlock[0]/SymmetricQuantizer/symmetric_quantize_3" -> "27 SENet/Sequential[layer1]/PreActBlock[1]/NNCFBatchNorm2d[bn1]/batch_norm_0"; -"26 SENet/Sequential[layer1]/PreActBlock[0]/SymmetricQuantizer/symmetric_quantize_3" -> "45 SENet/Sequential[layer1]/PreActBlock[1]/__iadd___0"; -"27 SENet/Sequential[layer1]/PreActBlock[1]/NNCFBatchNorm2d[bn1]/batch_norm_0" -> "28 SENet/Sequential[layer1]/PreActBlock[1]/relu_0"; -"28 SENet/Sequential[layer1]/PreActBlock[1]/relu_0" -> "29 SENet/Sequential[layer1]/PreActBlock[1]/SymmetricQuantizer/symmetric_quantize_0"; -"29 SENet/Sequential[layer1]/PreActBlock[1]/SymmetricQuantizer/symmetric_quantize_0" -> "31 SENet/Sequential[layer1]/PreActBlock[1]/NNCFConv2d[conv1]/conv2d_0"; -"30 SENet/Sequential[layer1]/PreActBlock[1]/NNCFConv2d[conv1]/ModuleDict[pre_ops]/UpdateWeight[0]/SymmetricQuantizer[op]/symmetric_quantize_0" -> "31 SENet/Sequential[layer1]/PreActBlock[1]/NNCFConv2d[conv1]/conv2d_0"; -"31 SENet/Sequential[layer1]/PreActBlock[1]/NNCFConv2d[conv1]/conv2d_0" -> "32 SENet/Sequential[layer1]/PreActBlock[1]/NNCFBatchNorm2d[bn2]/batch_norm_0"; -"32 SENet/Sequential[layer1]/PreActBlock[1]/NNCFBatchNorm2d[bn2]/batch_norm_0" -> "33 SENet/Sequential[layer1]/PreActBlock[1]/relu_1"; -"33 SENet/Sequential[layer1]/PreActBlock[1]/relu_1" -> "34 SENet/Sequential[layer1]/PreActBlock[1]/SymmetricQuantizer/symmetric_quantize_1"; -"34 SENet/Sequential[layer1]/PreActBlock[1]/SymmetricQuantizer/symmetric_quantize_1" -> "36 SENet/Sequential[layer1]/PreActBlock[1]/NNCFConv2d[conv2]/conv2d_0"; -"35 SENet/Sequential[layer1]/PreActBlock[1]/NNCFConv2d[conv2]/ModuleDict[pre_ops]/UpdateWeight[0]/SymmetricQuantizer[op]/symmetric_quantize_0" -> "36 SENet/Sequential[layer1]/PreActBlock[1]/NNCFConv2d[conv2]/conv2d_0"; -"36 SENet/Sequential[layer1]/PreActBlock[1]/NNCFConv2d[conv2]/conv2d_0" -> "37 SENet/Sequential[layer1]/PreActBlock[1]/NNCFConv2d[conv2]/SymmetricQuantizer/symmetric_quantize_0"; -"37 SENet/Sequential[layer1]/PreActBlock[1]/NNCFConv2d[conv2]/SymmetricQuantizer/symmetric_quantize_0" -> "38 SENet/Sequential[layer1]/PreActBlock[1]/avg_pool2d_0"; -"37 SENet/Sequential[layer1]/PreActBlock[1]/NNCFConv2d[conv2]/SymmetricQuantizer/symmetric_quantize_0" -> "43 SENet/Sequential[layer1]/PreActBlock[1]/__mul___0"; -"38 SENet/Sequential[layer1]/PreActBlock[1]/avg_pool2d_0" -> "39 SENet/Sequential[layer1]/PreActBlock[1]/NNCFConv2d[fc1]/conv2d_0"; -"39 SENet/Sequential[layer1]/PreActBlock[1]/NNCFConv2d[fc1]/conv2d_0" -> "40 SENet/Sequential[layer1]/PreActBlock[1]/relu_2"; -"40 SENet/Sequential[layer1]/PreActBlock[1]/relu_2" -> "41 SENet/Sequential[layer1]/PreActBlock[1]/NNCFConv2d[fc2]/conv2d_0"; -"41 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SENet/Sequential[layer4]/PreActBlock[1]/__iadd___0"; -"153 SENet/Sequential[layer4]/PreActBlock[1]/NNCFBatchNorm2d[bn1]/batch_norm_0" -> "154 SENet/Sequential[layer4]/PreActBlock[1]/relu_0"; -"154 SENet/Sequential[layer4]/PreActBlock[1]/relu_0" -> "155 SENet/Sequential[layer4]/PreActBlock[1]/SymmetricQuantizer/symmetric_quantize_0"; -"155 SENet/Sequential[layer4]/PreActBlock[1]/SymmetricQuantizer/symmetric_quantize_0" -> "157 SENet/Sequential[layer4]/PreActBlock[1]/NNCFConv2d[conv1]/conv2d_0"; -"156 SENet/Sequential[layer4]/PreActBlock[1]/NNCFConv2d[conv1]/ModuleDict[pre_ops]/UpdateWeight[0]/SymmetricQuantizer[op]/symmetric_quantize_0" -> "157 SENet/Sequential[layer4]/PreActBlock[1]/NNCFConv2d[conv1]/conv2d_0"; -"157 SENet/Sequential[layer4]/PreActBlock[1]/NNCFConv2d[conv1]/conv2d_0" -> "158 SENet/Sequential[layer4]/PreActBlock[1]/NNCFBatchNorm2d[bn2]/batch_norm_0"; -"158 SENet/Sequential[layer4]/PreActBlock[1]/NNCFBatchNorm2d[bn2]/batch_norm_0" -> "159 SENet/Sequential[layer4]/PreActBlock[1]/relu_1"; -"159 SENet/Sequential[layer4]/PreActBlock[1]/relu_1" -> "160 SENet/Sequential[layer4]/PreActBlock[1]/SymmetricQuantizer/symmetric_quantize_1"; -"160 SENet/Sequential[layer4]/PreActBlock[1]/SymmetricQuantizer/symmetric_quantize_1" -> "162 SENet/Sequential[layer4]/PreActBlock[1]/NNCFConv2d[conv2]/conv2d_0"; -"161 SENet/Sequential[layer4]/PreActBlock[1]/NNCFConv2d[conv2]/ModuleDict[pre_ops]/UpdateWeight[0]/SymmetricQuantizer[op]/symmetric_quantize_0" -> "162 SENet/Sequential[layer4]/PreActBlock[1]/NNCFConv2d[conv2]/conv2d_0"; -"162 SENet/Sequential[layer4]/PreActBlock[1]/NNCFConv2d[conv2]/conv2d_0" -> "163 SENet/Sequential[layer4]/PreActBlock[1]/NNCFConv2d[conv2]/SymmetricQuantizer/symmetric_quantize_0"; -"163 SENet/Sequential[layer4]/PreActBlock[1]/NNCFConv2d[conv2]/SymmetricQuantizer/symmetric_quantize_0" -> "164 SENet/Sequential[layer4]/PreActBlock[1]/avg_pool2d_0"; -"163 SENet/Sequential[layer4]/PreActBlock[1]/NNCFConv2d[conv2]/SymmetricQuantizer/symmetric_quantize_0" -> "169 SENet/Sequential[layer4]/PreActBlock[1]/__mul___0"; -"164 SENet/Sequential[layer4]/PreActBlock[1]/avg_pool2d_0" -> "165 SENet/Sequential[layer4]/PreActBlock[1]/NNCFConv2d[fc1]/conv2d_0"; -"165 SENet/Sequential[layer4]/PreActBlock[1]/NNCFConv2d[fc1]/conv2d_0" -> "166 SENet/Sequential[layer4]/PreActBlock[1]/relu_2"; -"166 SENet/Sequential[layer4]/PreActBlock[1]/relu_2" -> "167 SENet/Sequential[layer4]/PreActBlock[1]/NNCFConv2d[fc2]/conv2d_0"; -"167 SENet/Sequential[layer4]/PreActBlock[1]/NNCFConv2d[fc2]/conv2d_0" -> "168 SENet/Sequential[layer4]/PreActBlock[1]/sigmoid_0"; -"168 SENet/Sequential[layer4]/PreActBlock[1]/sigmoid_0" -> "169 SENet/Sequential[layer4]/PreActBlock[1]/__mul___0"; -"169 SENet/Sequential[layer4]/PreActBlock[1]/__mul___0" -> "170 SENet/Sequential[layer4]/PreActBlock[1]/SymmetricQuantizer/symmetric_quantize_2"; -"170 SENet/Sequential[layer4]/PreActBlock[1]/SymmetricQuantizer/symmetric_quantize_2" -> "171 SENet/Sequential[layer4]/PreActBlock[1]/__iadd___0"; -"171 SENet/Sequential[layer4]/PreActBlock[1]/__iadd___0" -> "172 SENet/Sequential[layer4]/PreActBlock[1]/SymmetricQuantizer/symmetric_quantize_3"; -"172 SENet/Sequential[layer4]/PreActBlock[1]/SymmetricQuantizer/symmetric_quantize_3" -> "173 SENet/avg_pool2d_0"; -"173 SENet/avg_pool2d_0" -> "174 SENet/NNCFNetworkInterface[_nncf]/ModuleDict[external_quantizers]/SymmetricQuantizer[SENet/avg_pool2d_0|OUTPUT]/symmetric_quantize_0"; -"174 SENet/NNCFNetworkInterface[_nncf]/ModuleDict[external_quantizers]/SymmetricQuantizer[SENet/avg_pool2d_0|OUTPUT]/symmetric_quantize_0" -> "175 SENet/view_0"; -"175 SENet/view_0" -> "177 SENet/NNCFLinear[linear]/linear_0"; -"176 SENet/NNCFLinear[linear]/ModuleDict[pre_ops]/UpdateWeight[0]/SymmetricQuantizer[op]/symmetric_quantize_0" -> "177 SENet/NNCFLinear[linear]/linear_0"; -"177 SENet/NNCFLinear[linear]/linear_0" -> "178 /nncf_model_output_0"; +"17 SENet/Sequential[layer1]/PreActBlock[0]/NNCFConv2d[conv2]/SymmetricQuantizer/symmetric_quantize_0" -> "28 SENet/Sequential[layer1]/PreActBlock[0]/__mul___0"; +"18 SENet/Sequential[layer1]/PreActBlock[0]/avg_pool2d_0" -> "19 SENet/Sequential[layer1]/PreActBlock[0]/SymmetricQuantizer/symmetric_quantize_2"; +"19 SENet/Sequential[layer1]/PreActBlock[0]/SymmetricQuantizer/symmetric_quantize_2" -> "21 SENet/Sequential[layer1]/PreActBlock[0]/NNCFConv2d[fc1]/conv2d_0"; +"20 SENet/Sequential[layer1]/PreActBlock[0]/NNCFConv2d[fc1]/ModuleDict[pre_ops]/UpdateWeight[0]/SymmetricQuantizer[op]/symmetric_quantize_0" -> "21 SENet/Sequential[layer1]/PreActBlock[0]/NNCFConv2d[fc1]/conv2d_0"; +"21 SENet/Sequential[layer1]/PreActBlock[0]/NNCFConv2d[fc1]/conv2d_0" -> "22 SENet/Sequential[layer1]/PreActBlock[0]/relu_2"; +"22 SENet/Sequential[layer1]/PreActBlock[0]/relu_2" -> "23 SENet/Sequential[layer1]/PreActBlock[0]/SymmetricQuantizer/symmetric_quantize_3"; +"23 SENet/Sequential[layer1]/PreActBlock[0]/SymmetricQuantizer/symmetric_quantize_3" -> "25 SENet/Sequential[layer1]/PreActBlock[0]/NNCFConv2d[fc2]/conv2d_0"; +"24 SENet/Sequential[layer1]/PreActBlock[0]/NNCFConv2d[fc2]/ModuleDict[pre_ops]/UpdateWeight[0]/SymmetricQuantizer[op]/symmetric_quantize_0" -> "25 SENet/Sequential[layer1]/PreActBlock[0]/NNCFConv2d[fc2]/conv2d_0"; +"25 SENet/Sequential[layer1]/PreActBlock[0]/NNCFConv2d[fc2]/conv2d_0" -> "26 SENet/Sequential[layer1]/PreActBlock[0]/sigmoid_0"; +"26 SENet/Sequential[layer1]/PreActBlock[0]/sigmoid_0" -> "27 SENet/Sequential[layer1]/PreActBlock[0]/SymmetricQuantizer/symmetric_quantize_4"; +"27 SENet/Sequential[layer1]/PreActBlock[0]/SymmetricQuantizer/symmetric_quantize_4" -> "28 SENet/Sequential[layer1]/PreActBlock[0]/__mul___0"; +"28 SENet/Sequential[layer1]/PreActBlock[0]/__mul___0" -> "29 SENet/Sequential[layer1]/PreActBlock[0]/SymmetricQuantizer/symmetric_quantize_5"; +"29 SENet/Sequential[layer1]/PreActBlock[0]/SymmetricQuantizer/symmetric_quantize_5" -> "30 SENet/Sequential[layer1]/PreActBlock[0]/__iadd___0"; +"30 SENet/Sequential[layer1]/PreActBlock[0]/__iadd___0" -> "31 SENet/Sequential[layer1]/PreActBlock[0]/SymmetricQuantizer/symmetric_quantize_6"; +"31 SENet/Sequential[layer1]/PreActBlock[0]/SymmetricQuantizer/symmetric_quantize_6" -> "32 SENet/Sequential[layer1]/PreActBlock[1]/NNCFBatchNorm2d[bn1]/batch_norm_0"; +"31 SENet/Sequential[layer1]/PreActBlock[0]/SymmetricQuantizer/symmetric_quantize_6" -> "55 SENet/Sequential[layer1]/PreActBlock[1]/__iadd___0"; +"32 SENet/Sequential[layer1]/PreActBlock[1]/NNCFBatchNorm2d[bn1]/batch_norm_0" -> "33 SENet/Sequential[layer1]/PreActBlock[1]/relu_0"; +"33 SENet/Sequential[layer1]/PreActBlock[1]/relu_0" -> "34 SENet/Sequential[layer1]/PreActBlock[1]/SymmetricQuantizer/symmetric_quantize_0"; +"34 SENet/Sequential[layer1]/PreActBlock[1]/SymmetricQuantizer/symmetric_quantize_0" -> "36 SENet/Sequential[layer1]/PreActBlock[1]/NNCFConv2d[conv1]/conv2d_0"; +"35 SENet/Sequential[layer1]/PreActBlock[1]/NNCFConv2d[conv1]/ModuleDict[pre_ops]/UpdateWeight[0]/SymmetricQuantizer[op]/symmetric_quantize_0" -> "36 SENet/Sequential[layer1]/PreActBlock[1]/NNCFConv2d[conv1]/conv2d_0"; +"36 SENet/Sequential[layer1]/PreActBlock[1]/NNCFConv2d[conv1]/conv2d_0" -> "37 SENet/Sequential[layer1]/PreActBlock[1]/NNCFBatchNorm2d[bn2]/batch_norm_0"; +"37 SENet/Sequential[layer1]/PreActBlock[1]/NNCFBatchNorm2d[bn2]/batch_norm_0" -> "38 SENet/Sequential[layer1]/PreActBlock[1]/relu_1"; +"38 SENet/Sequential[layer1]/PreActBlock[1]/relu_1" -> "39 SENet/Sequential[layer1]/PreActBlock[1]/SymmetricQuantizer/symmetric_quantize_1"; +"39 SENet/Sequential[layer1]/PreActBlock[1]/SymmetricQuantizer/symmetric_quantize_1" -> "41 SENet/Sequential[layer1]/PreActBlock[1]/NNCFConv2d[conv2]/conv2d_0"; +"40 SENet/Sequential[layer1]/PreActBlock[1]/NNCFConv2d[conv2]/ModuleDict[pre_ops]/UpdateWeight[0]/SymmetricQuantizer[op]/symmetric_quantize_0" -> "41 SENet/Sequential[layer1]/PreActBlock[1]/NNCFConv2d[conv2]/conv2d_0"; +"41 SENet/Sequential[layer1]/PreActBlock[1]/NNCFConv2d[conv2]/conv2d_0" -> "42 SENet/Sequential[layer1]/PreActBlock[1]/NNCFConv2d[conv2]/SymmetricQuantizer/symmetric_quantize_0"; +"42 SENet/Sequential[layer1]/PreActBlock[1]/NNCFConv2d[conv2]/SymmetricQuantizer/symmetric_quantize_0" -> "43 SENet/Sequential[layer1]/PreActBlock[1]/avg_pool2d_0"; +"42 SENet/Sequential[layer1]/PreActBlock[1]/NNCFConv2d[conv2]/SymmetricQuantizer/symmetric_quantize_0" -> "53 SENet/Sequential[layer1]/PreActBlock[1]/__mul___0"; +"43 SENet/Sequential[layer1]/PreActBlock[1]/avg_pool2d_0" -> "44 SENet/Sequential[layer1]/PreActBlock[1]/SymmetricQuantizer/symmetric_quantize_2"; +"44 SENet/Sequential[layer1]/PreActBlock[1]/SymmetricQuantizer/symmetric_quantize_2" -> "46 SENet/Sequential[layer1]/PreActBlock[1]/NNCFConv2d[fc1]/conv2d_0"; +"45 SENet/Sequential[layer1]/PreActBlock[1]/NNCFConv2d[fc1]/ModuleDict[pre_ops]/UpdateWeight[0]/SymmetricQuantizer[op]/symmetric_quantize_0" -> "46 SENet/Sequential[layer1]/PreActBlock[1]/NNCFConv2d[fc1]/conv2d_0"; +"46 SENet/Sequential[layer1]/PreActBlock[1]/NNCFConv2d[fc1]/conv2d_0" -> "47 SENet/Sequential[layer1]/PreActBlock[1]/relu_2"; +"47 SENet/Sequential[layer1]/PreActBlock[1]/relu_2" -> "48 SENet/Sequential[layer1]/PreActBlock[1]/SymmetricQuantizer/symmetric_quantize_3"; +"48 SENet/Sequential[layer1]/PreActBlock[1]/SymmetricQuantizer/symmetric_quantize_3" -> "50 SENet/Sequential[layer1]/PreActBlock[1]/NNCFConv2d[fc2]/conv2d_0"; +"49 SENet/Sequential[layer1]/PreActBlock[1]/NNCFConv2d[fc2]/ModuleDict[pre_ops]/UpdateWeight[0]/SymmetricQuantizer[op]/symmetric_quantize_0" -> "50 SENet/Sequential[layer1]/PreActBlock[1]/NNCFConv2d[fc2]/conv2d_0"; +"50 SENet/Sequential[layer1]/PreActBlock[1]/NNCFConv2d[fc2]/conv2d_0" -> "51 SENet/Sequential[layer1]/PreActBlock[1]/sigmoid_0"; +"51 SENet/Sequential[layer1]/PreActBlock[1]/sigmoid_0" -> "52 SENet/Sequential[layer1]/PreActBlock[1]/SymmetricQuantizer/symmetric_quantize_4"; +"52 SENet/Sequential[layer1]/PreActBlock[1]/SymmetricQuantizer/symmetric_quantize_4" -> "53 SENet/Sequential[layer1]/PreActBlock[1]/__mul___0"; +"53 SENet/Sequential[layer1]/PreActBlock[1]/__mul___0" -> "54 SENet/Sequential[layer1]/PreActBlock[1]/SymmetricQuantizer/symmetric_quantize_5"; +"54 SENet/Sequential[layer1]/PreActBlock[1]/SymmetricQuantizer/symmetric_quantize_5" -> "55 SENet/Sequential[layer1]/PreActBlock[1]/__iadd___0"; +"55 SENet/Sequential[layer1]/PreActBlock[1]/__iadd___0" -> "56 SENet/Sequential[layer2]/PreActBlock[0]/NNCFBatchNorm2d[bn1]/batch_norm_0"; +"56 SENet/Sequential[layer2]/PreActBlock[0]/NNCFBatchNorm2d[bn1]/batch_norm_0" -> "57 SENet/Sequential[layer2]/PreActBlock[0]/relu_0"; +"57 SENet/Sequential[layer2]/PreActBlock[0]/relu_0" -> "58 SENet/Sequential[layer2]/PreActBlock[0]/SymmetricQuantizer/symmetric_quantize_0"; +"58 SENet/Sequential[layer2]/PreActBlock[0]/SymmetricQuantizer/symmetric_quantize_0" -> "60 SENet/Sequential[layer2]/PreActBlock[0]/Sequential[shortcut]/NNCFConv2d[0]/conv2d_0"; +"58 SENet/Sequential[layer2]/PreActBlock[0]/SymmetricQuantizer/symmetric_quantize_0" -> "63 SENet/Sequential[layer2]/PreActBlock[0]/NNCFConv2d[conv1]/conv2d_0"; +"59 SENet/Sequential[layer2]/PreActBlock[0]/Sequential[shortcut]/NNCFConv2d[0]/ModuleDict[pre_ops]/UpdateWeight[0]/SymmetricQuantizer[op]/symmetric_quantize_0" -> "60 SENet/Sequential[layer2]/PreActBlock[0]/Sequential[shortcut]/NNCFConv2d[0]/conv2d_0"; +"60 SENet/Sequential[layer2]/PreActBlock[0]/Sequential[shortcut]/NNCFConv2d[0]/conv2d_0" -> "61 SENet/Sequential[layer2]/PreActBlock[0]/Sequential[shortcut]/NNCFConv2d[0]/SymmetricQuantizer/symmetric_quantize_0"; +"61 SENet/Sequential[layer2]/PreActBlock[0]/Sequential[shortcut]/NNCFConv2d[0]/SymmetricQuantizer/symmetric_quantize_0" -> "82 SENet/Sequential[layer2]/PreActBlock[0]/__iadd___0"; +"62 SENet/Sequential[layer2]/PreActBlock[0]/NNCFConv2d[conv1]/ModuleDict[pre_ops]/UpdateWeight[0]/SymmetricQuantizer[op]/symmetric_quantize_0" -> "63 SENet/Sequential[layer2]/PreActBlock[0]/NNCFConv2d[conv1]/conv2d_0"; +"63 SENet/Sequential[layer2]/PreActBlock[0]/NNCFConv2d[conv1]/conv2d_0" -> "64 SENet/Sequential[layer2]/PreActBlock[0]/NNCFBatchNorm2d[bn2]/batch_norm_0"; +"64 SENet/Sequential[layer2]/PreActBlock[0]/NNCFBatchNorm2d[bn2]/batch_norm_0" -> "65 SENet/Sequential[layer2]/PreActBlock[0]/relu_1"; +"65 SENet/Sequential[layer2]/PreActBlock[0]/relu_1" -> "66 SENet/Sequential[layer2]/PreActBlock[0]/SymmetricQuantizer/symmetric_quantize_1"; +"66 SENet/Sequential[layer2]/PreActBlock[0]/SymmetricQuantizer/symmetric_quantize_1" -> "68 SENet/Sequential[layer2]/PreActBlock[0]/NNCFConv2d[conv2]/conv2d_0"; +"67 SENet/Sequential[layer2]/PreActBlock[0]/NNCFConv2d[conv2]/ModuleDict[pre_ops]/UpdateWeight[0]/SymmetricQuantizer[op]/symmetric_quantize_0" -> "68 SENet/Sequential[layer2]/PreActBlock[0]/NNCFConv2d[conv2]/conv2d_0"; +"68 SENet/Sequential[layer2]/PreActBlock[0]/NNCFConv2d[conv2]/conv2d_0" -> "69 SENet/Sequential[layer2]/PreActBlock[0]/NNCFConv2d[conv2]/SymmetricQuantizer/symmetric_quantize_0"; +"69 SENet/Sequential[layer2]/PreActBlock[0]/NNCFConv2d[conv2]/SymmetricQuantizer/symmetric_quantize_0" -> "70 SENet/Sequential[layer2]/PreActBlock[0]/avg_pool2d_0"; +"69 SENet/Sequential[layer2]/PreActBlock[0]/NNCFConv2d[conv2]/SymmetricQuantizer/symmetric_quantize_0" -> "80 SENet/Sequential[layer2]/PreActBlock[0]/__mul___0"; +"70 SENet/Sequential[layer2]/PreActBlock[0]/avg_pool2d_0" -> "71 SENet/Sequential[layer2]/PreActBlock[0]/SymmetricQuantizer/symmetric_quantize_2"; +"71 SENet/Sequential[layer2]/PreActBlock[0]/SymmetricQuantizer/symmetric_quantize_2" -> "73 SENet/Sequential[layer2]/PreActBlock[0]/NNCFConv2d[fc1]/conv2d_0"; +"72 SENet/Sequential[layer2]/PreActBlock[0]/NNCFConv2d[fc1]/ModuleDict[pre_ops]/UpdateWeight[0]/SymmetricQuantizer[op]/symmetric_quantize_0" -> "73 SENet/Sequential[layer2]/PreActBlock[0]/NNCFConv2d[fc1]/conv2d_0"; +"73 SENet/Sequential[layer2]/PreActBlock[0]/NNCFConv2d[fc1]/conv2d_0" -> "74 SENet/Sequential[layer2]/PreActBlock[0]/relu_2"; +"74 SENet/Sequential[layer2]/PreActBlock[0]/relu_2" -> "75 SENet/Sequential[layer2]/PreActBlock[0]/SymmetricQuantizer/symmetric_quantize_3"; +"75 SENet/Sequential[layer2]/PreActBlock[0]/SymmetricQuantizer/symmetric_quantize_3" -> "77 SENet/Sequential[layer2]/PreActBlock[0]/NNCFConv2d[fc2]/conv2d_0"; +"76 SENet/Sequential[layer2]/PreActBlock[0]/NNCFConv2d[fc2]/ModuleDict[pre_ops]/UpdateWeight[0]/SymmetricQuantizer[op]/symmetric_quantize_0" -> "77 SENet/Sequential[layer2]/PreActBlock[0]/NNCFConv2d[fc2]/conv2d_0"; +"77 SENet/Sequential[layer2]/PreActBlock[0]/NNCFConv2d[fc2]/conv2d_0" -> "78 SENet/Sequential[layer2]/PreActBlock[0]/sigmoid_0"; +"78 SENet/Sequential[layer2]/PreActBlock[0]/sigmoid_0" -> "79 SENet/Sequential[layer2]/PreActBlock[0]/SymmetricQuantizer/symmetric_quantize_4"; +"79 SENet/Sequential[layer2]/PreActBlock[0]/SymmetricQuantizer/symmetric_quantize_4" -> "80 SENet/Sequential[layer2]/PreActBlock[0]/__mul___0"; +"80 SENet/Sequential[layer2]/PreActBlock[0]/__mul___0" -> "81 SENet/Sequential[layer2]/PreActBlock[0]/SymmetricQuantizer/symmetric_quantize_5"; +"81 SENet/Sequential[layer2]/PreActBlock[0]/SymmetricQuantizer/symmetric_quantize_5" -> "82 SENet/Sequential[layer2]/PreActBlock[0]/__iadd___0"; +"82 SENet/Sequential[layer2]/PreActBlock[0]/__iadd___0" -> "83 SENet/Sequential[layer2]/PreActBlock[0]/SymmetricQuantizer/symmetric_quantize_6"; +"83 SENet/Sequential[layer2]/PreActBlock[0]/SymmetricQuantizer/symmetric_quantize_6" -> "84 SENet/Sequential[layer2]/PreActBlock[1]/NNCFBatchNorm2d[bn1]/batch_norm_0"; +"83 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SENet/Sequential[layer4]/PreActBlock[1]/NNCFConv2d[conv2]/SymmetricQuantizer/symmetric_quantize_0"; +"198 SENet/Sequential[layer4]/PreActBlock[1]/NNCFConv2d[conv2]/SymmetricQuantizer/symmetric_quantize_0" -> "199 SENet/Sequential[layer4]/PreActBlock[1]/avg_pool2d_0"; +"198 SENet/Sequential[layer4]/PreActBlock[1]/NNCFConv2d[conv2]/SymmetricQuantizer/symmetric_quantize_0" -> "209 SENet/Sequential[layer4]/PreActBlock[1]/__mul___0"; +"199 SENet/Sequential[layer4]/PreActBlock[1]/avg_pool2d_0" -> "200 SENet/Sequential[layer4]/PreActBlock[1]/SymmetricQuantizer/symmetric_quantize_2"; +"200 SENet/Sequential[layer4]/PreActBlock[1]/SymmetricQuantizer/symmetric_quantize_2" -> "202 SENet/Sequential[layer4]/PreActBlock[1]/NNCFConv2d[fc1]/conv2d_0"; +"201 SENet/Sequential[layer4]/PreActBlock[1]/NNCFConv2d[fc1]/ModuleDict[pre_ops]/UpdateWeight[0]/SymmetricQuantizer[op]/symmetric_quantize_0" -> "202 SENet/Sequential[layer4]/PreActBlock[1]/NNCFConv2d[fc1]/conv2d_0"; +"202 SENet/Sequential[layer4]/PreActBlock[1]/NNCFConv2d[fc1]/conv2d_0" -> "203 SENet/Sequential[layer4]/PreActBlock[1]/relu_2"; +"203 SENet/Sequential[layer4]/PreActBlock[1]/relu_2" -> "204 SENet/Sequential[layer4]/PreActBlock[1]/SymmetricQuantizer/symmetric_quantize_3"; +"204 SENet/Sequential[layer4]/PreActBlock[1]/SymmetricQuantizer/symmetric_quantize_3" -> "206 SENet/Sequential[layer4]/PreActBlock[1]/NNCFConv2d[fc2]/conv2d_0"; +"205 SENet/Sequential[layer4]/PreActBlock[1]/NNCFConv2d[fc2]/ModuleDict[pre_ops]/UpdateWeight[0]/SymmetricQuantizer[op]/symmetric_quantize_0" -> "206 SENet/Sequential[layer4]/PreActBlock[1]/NNCFConv2d[fc2]/conv2d_0"; +"206 SENet/Sequential[layer4]/PreActBlock[1]/NNCFConv2d[fc2]/conv2d_0" -> "207 SENet/Sequential[layer4]/PreActBlock[1]/sigmoid_0"; +"207 SENet/Sequential[layer4]/PreActBlock[1]/sigmoid_0" -> "208 SENet/Sequential[layer4]/PreActBlock[1]/SymmetricQuantizer/symmetric_quantize_4"; +"208 SENet/Sequential[layer4]/PreActBlock[1]/SymmetricQuantizer/symmetric_quantize_4" -> "209 SENet/Sequential[layer4]/PreActBlock[1]/__mul___0"; +"209 SENet/Sequential[layer4]/PreActBlock[1]/__mul___0" -> "210 SENet/Sequential[layer4]/PreActBlock[1]/SymmetricQuantizer/symmetric_quantize_5"; +"210 SENet/Sequential[layer4]/PreActBlock[1]/SymmetricQuantizer/symmetric_quantize_5" -> "211 SENet/Sequential[layer4]/PreActBlock[1]/__iadd___0"; +"211 SENet/Sequential[layer4]/PreActBlock[1]/__iadd___0" -> "212 SENet/Sequential[layer4]/PreActBlock[1]/SymmetricQuantizer/symmetric_quantize_6"; +"212 SENet/Sequential[layer4]/PreActBlock[1]/SymmetricQuantizer/symmetric_quantize_6" -> "213 SENet/avg_pool2d_0"; +"213 SENet/avg_pool2d_0" -> "214 SENet/NNCFNetworkInterface[_nncf]/ModuleDict[external_quantizers]/SymmetricQuantizer[SENet/avg_pool2d_0|OUTPUT]/symmetric_quantize_0"; +"214 SENet/NNCFNetworkInterface[_nncf]/ModuleDict[external_quantizers]/SymmetricQuantizer[SENet/avg_pool2d_0|OUTPUT]/symmetric_quantize_0" -> "215 SENet/view_0"; +"215 SENet/view_0" -> "217 SENet/NNCFLinear[linear]/linear_0"; +"216 SENet/NNCFLinear[linear]/ModuleDict[pre_ops]/UpdateWeight[0]/SymmetricQuantizer[op]/symmetric_quantize_0" -> "217 SENet/NNCFLinear[linear]/linear_0"; +"217 SENet/NNCFLinear[linear]/linear_0" -> "218 /nncf_model_output_0"; } diff --git a/tests/torch/data/reference_graphs/quantized_rb_sparsity/mobilenet_v3_small.dot b/tests/torch/data/reference_graphs/quantized_rb_sparsity/mobilenet_v3_small.dot index 312f8827391..22e9d4f6503 100644 --- a/tests/torch/data/reference_graphs/quantized_rb_sparsity/mobilenet_v3_small.dot +++ b/tests/torch/data/reference_graphs/quantized_rb_sparsity/mobilenet_v3_small.dot @@ -16,344 +16,389 @@ strict digraph { "14 MobileNetV3/Sequential[features]/InvertedResidual[1]/Sequential[block]/ConvBNActivation[0]/ReLU[2]/relu__0" [id=14, type=relu_]; "15 MobileNetV3/Sequential[features]/InvertedResidual[1]/Sequential[block]/ConvBNActivation[0]/ReLU[2]/SymmetricQuantizer/symmetric_quantize_0" [id=15, type=symmetric_quantize]; "16 MobileNetV3/Sequential[features]/InvertedResidual[1]/Sequential[block]/SqueezeExcitation[1]/adaptive_avg_pool2d_0" [id=16, type=adaptive_avg_pool2d]; -"17 MobileNetV3/Sequential[features]/InvertedResidual[1]/Sequential[block]/SqueezeExcitation[1]/NNCFConv2d[fc1]/ModuleDict[pre_ops]/UpdateWeight[0]/RBSparsifyingWeight[op]/calc_rb_binary_mask_0" [id=17, type=calc_rb_binary_mask]; -"18 MobileNetV3/Sequential[features]/InvertedResidual[1]/Sequential[block]/SqueezeExcitation[1]/NNCFConv2d[fc1]/ModuleDict[pre_ops]/UpdateWeight[0]/RBSparsifyingWeight[op]/apply_binary_mask_0" [id=18, type=apply_binary_mask]; -"19 MobileNetV3/Sequential[features]/InvertedResidual[1]/Sequential[block]/SqueezeExcitation[1]/NNCFConv2d[fc1]/conv2d_0" [id=19, type=conv2d]; -"20 MobileNetV3/Sequential[features]/InvertedResidual[1]/Sequential[block]/SqueezeExcitation[1]/ReLU[relu]/relu__0" [id=20, type=relu_]; -"21 MobileNetV3/Sequential[features]/InvertedResidual[1]/Sequential[block]/SqueezeExcitation[1]/NNCFConv2d[fc2]/ModuleDict[pre_ops]/UpdateWeight[0]/RBSparsifyingWeight[op]/calc_rb_binary_mask_0" [id=21, type=calc_rb_binary_mask]; -"22 MobileNetV3/Sequential[features]/InvertedResidual[1]/Sequential[block]/SqueezeExcitation[1]/NNCFConv2d[fc2]/ModuleDict[pre_ops]/UpdateWeight[0]/RBSparsifyingWeight[op]/apply_binary_mask_0" [id=22, type=apply_binary_mask]; -"23 MobileNetV3/Sequential[features]/InvertedResidual[1]/Sequential[block]/SqueezeExcitation[1]/NNCFConv2d[fc2]/conv2d_0" [id=23, type=conv2d]; -"24 MobileNetV3/Sequential[features]/InvertedResidual[1]/Sequential[block]/SqueezeExcitation[1]/hardsigmoid_0" [id=24, type=hardsigmoid]; -"25 MobileNetV3/Sequential[features]/InvertedResidual[1]/Sequential[block]/SqueezeExcitation[1]/__mul___0" [id=25, type=__mul__]; -"26 MobileNetV3/Sequential[features]/InvertedResidual[1]/Sequential[block]/SqueezeExcitation[1]/SymmetricQuantizer/symmetric_quantize_0" [id=26, type=symmetric_quantize]; -"27 MobileNetV3/Sequential[features]/InvertedResidual[1]/Sequential[block]/ConvBNActivation[2]/NNCFConv2d[0]/ModuleDict[pre_ops]/UpdateWeight[0]/RBSparsifyingWeight[op]/calc_rb_binary_mask_0" [id=27, type=calc_rb_binary_mask]; -"28 MobileNetV3/Sequential[features]/InvertedResidual[1]/Sequential[block]/ConvBNActivation[2]/NNCFConv2d[0]/ModuleDict[pre_ops]/UpdateWeight[0]/RBSparsifyingWeight[op]/apply_binary_mask_0" [id=28, type=apply_binary_mask]; -"29 MobileNetV3/Sequential[features]/InvertedResidual[1]/Sequential[block]/ConvBNActivation[2]/NNCFConv2d[0]/ModuleDict[pre_ops]/UpdateWeight[1]/SymmetricQuantizer[op]/symmetric_quantize_0" [id=29, type=symmetric_quantize]; -"30 MobileNetV3/Sequential[features]/InvertedResidual[1]/Sequential[block]/ConvBNActivation[2]/NNCFConv2d[0]/conv2d_0" [id=30, type=conv2d]; -"31 MobileNetV3/Sequential[features]/InvertedResidual[1]/Sequential[block]/ConvBNActivation[2]/NNCFBatchNorm2d[1]/batch_norm_0" [id=31, type=batch_norm]; -"32 MobileNetV3/Sequential[features]/InvertedResidual[1]/Sequential[block]/ConvBNActivation[2]/NNCFBatchNorm2d[1]/SymmetricQuantizer/symmetric_quantize_0" [id=32, type=symmetric_quantize]; -"33 MobileNetV3/Sequential[features]/InvertedResidual[2]/Sequential[block]/ConvBNActivation[0]/NNCFConv2d[0]/ModuleDict[pre_ops]/UpdateWeight[0]/RBSparsifyingWeight[op]/calc_rb_binary_mask_0" [id=33, type=calc_rb_binary_mask]; -"34 MobileNetV3/Sequential[features]/InvertedResidual[2]/Sequential[block]/ConvBNActivation[0]/NNCFConv2d[0]/ModuleDict[pre_ops]/UpdateWeight[0]/RBSparsifyingWeight[op]/apply_binary_mask_0" [id=34, type=apply_binary_mask]; -"35 MobileNetV3/Sequential[features]/InvertedResidual[2]/Sequential[block]/ConvBNActivation[0]/NNCFConv2d[0]/ModuleDict[pre_ops]/UpdateWeight[1]/SymmetricQuantizer[op]/symmetric_quantize_0" [id=35, type=symmetric_quantize]; -"36 MobileNetV3/Sequential[features]/InvertedResidual[2]/Sequential[block]/ConvBNActivation[0]/NNCFConv2d[0]/conv2d_0" [id=36, type=conv2d]; -"37 MobileNetV3/Sequential[features]/InvertedResidual[2]/Sequential[block]/ConvBNActivation[0]/NNCFBatchNorm2d[1]/batch_norm_0" [id=37, type=batch_norm]; -"38 MobileNetV3/Sequential[features]/InvertedResidual[2]/Sequential[block]/ConvBNActivation[0]/ReLU[2]/relu__0" [id=38, type=relu_]; -"39 MobileNetV3/Sequential[features]/InvertedResidual[2]/Sequential[block]/ConvBNActivation[0]/ReLU[2]/SymmetricQuantizer/symmetric_quantize_0" [id=39, type=symmetric_quantize]; -"40 MobileNetV3/Sequential[features]/InvertedResidual[2]/Sequential[block]/ConvBNActivation[1]/NNCFConv2d[0]/ModuleDict[pre_ops]/UpdateWeight[0]/RBSparsifyingWeight[op]/calc_rb_binary_mask_0" [id=40, type=calc_rb_binary_mask]; -"41 MobileNetV3/Sequential[features]/InvertedResidual[2]/Sequential[block]/ConvBNActivation[1]/NNCFConv2d[0]/ModuleDict[pre_ops]/UpdateWeight[0]/RBSparsifyingWeight[op]/apply_binary_mask_0" [id=41, type=apply_binary_mask]; -"42 MobileNetV3/Sequential[features]/InvertedResidual[2]/Sequential[block]/ConvBNActivation[1]/NNCFConv2d[0]/ModuleDict[pre_ops]/UpdateWeight[1]/SymmetricQuantizer[op]/symmetric_quantize_0" [id=42, type=symmetric_quantize]; -"43 MobileNetV3/Sequential[features]/InvertedResidual[2]/Sequential[block]/ConvBNActivation[1]/NNCFConv2d[0]/conv2d_0" [id=43, type=conv2d]; -"44 MobileNetV3/Sequential[features]/InvertedResidual[2]/Sequential[block]/ConvBNActivation[1]/NNCFBatchNorm2d[1]/batch_norm_0" [id=44, type=batch_norm]; -"45 MobileNetV3/Sequential[features]/InvertedResidual[2]/Sequential[block]/ConvBNActivation[1]/ReLU[2]/relu__0" [id=45, type=relu_]; -"46 MobileNetV3/Sequential[features]/InvertedResidual[2]/Sequential[block]/ConvBNActivation[1]/ReLU[2]/SymmetricQuantizer/symmetric_quantize_0" [id=46, type=symmetric_quantize]; -"47 MobileNetV3/Sequential[features]/InvertedResidual[2]/Sequential[block]/ConvBNActivation[2]/NNCFConv2d[0]/ModuleDict[pre_ops]/UpdateWeight[0]/RBSparsifyingWeight[op]/calc_rb_binary_mask_0" [id=47, type=calc_rb_binary_mask]; -"48 MobileNetV3/Sequential[features]/InvertedResidual[2]/Sequential[block]/ConvBNActivation[2]/NNCFConv2d[0]/ModuleDict[pre_ops]/UpdateWeight[0]/RBSparsifyingWeight[op]/apply_binary_mask_0" [id=48, type=apply_binary_mask]; -"49 MobileNetV3/Sequential[features]/InvertedResidual[2]/Sequential[block]/ConvBNActivation[2]/NNCFConv2d[0]/ModuleDict[pre_ops]/UpdateWeight[1]/SymmetricQuantizer[op]/symmetric_quantize_0" [id=49, type=symmetric_quantize]; -"50 MobileNetV3/Sequential[features]/InvertedResidual[2]/Sequential[block]/ConvBNActivation[2]/NNCFConv2d[0]/conv2d_0" [id=50, type=conv2d]; -"51 MobileNetV3/Sequential[features]/InvertedResidual[2]/Sequential[block]/ConvBNActivation[2]/NNCFBatchNorm2d[1]/batch_norm_0" [id=51, type=batch_norm]; -"52 MobileNetV3/Sequential[features]/InvertedResidual[2]/Sequential[block]/ConvBNActivation[2]/NNCFBatchNorm2d[1]/SymmetricQuantizer/symmetric_quantize_0" [id=52, type=symmetric_quantize]; -"53 MobileNetV3/Sequential[features]/InvertedResidual[3]/Sequential[block]/ConvBNActivation[0]/NNCFConv2d[0]/ModuleDict[pre_ops]/UpdateWeight[0]/RBSparsifyingWeight[op]/calc_rb_binary_mask_0" [id=53, type=calc_rb_binary_mask]; -"54 MobileNetV3/Sequential[features]/InvertedResidual[3]/Sequential[block]/ConvBNActivation[0]/NNCFConv2d[0]/ModuleDict[pre_ops]/UpdateWeight[0]/RBSparsifyingWeight[op]/apply_binary_mask_0" [id=54, type=apply_binary_mask]; -"55 MobileNetV3/Sequential[features]/InvertedResidual[3]/Sequential[block]/ConvBNActivation[0]/NNCFConv2d[0]/ModuleDict[pre_ops]/UpdateWeight[1]/SymmetricQuantizer[op]/symmetric_quantize_0" [id=55, type=symmetric_quantize]; -"56 MobileNetV3/Sequential[features]/InvertedResidual[3]/Sequential[block]/ConvBNActivation[0]/NNCFConv2d[0]/conv2d_0" [id=56, type=conv2d]; -"57 MobileNetV3/Sequential[features]/InvertedResidual[3]/Sequential[block]/ConvBNActivation[0]/NNCFBatchNorm2d[1]/batch_norm_0" [id=57, type=batch_norm]; -"58 MobileNetV3/Sequential[features]/InvertedResidual[3]/Sequential[block]/ConvBNActivation[0]/ReLU[2]/relu__0" [id=58, type=relu_]; -"59 MobileNetV3/Sequential[features]/InvertedResidual[3]/Sequential[block]/ConvBNActivation[0]/ReLU[2]/SymmetricQuantizer/symmetric_quantize_0" [id=59, type=symmetric_quantize]; -"60 MobileNetV3/Sequential[features]/InvertedResidual[3]/Sequential[block]/ConvBNActivation[1]/NNCFConv2d[0]/ModuleDict[pre_ops]/UpdateWeight[0]/RBSparsifyingWeight[op]/calc_rb_binary_mask_0" [id=60, type=calc_rb_binary_mask]; -"61 MobileNetV3/Sequential[features]/InvertedResidual[3]/Sequential[block]/ConvBNActivation[1]/NNCFConv2d[0]/ModuleDict[pre_ops]/UpdateWeight[0]/RBSparsifyingWeight[op]/apply_binary_mask_0" [id=61, type=apply_binary_mask]; -"62 MobileNetV3/Sequential[features]/InvertedResidual[3]/Sequential[block]/ConvBNActivation[1]/NNCFConv2d[0]/ModuleDict[pre_ops]/UpdateWeight[1]/SymmetricQuantizer[op]/symmetric_quantize_0" [id=62, type=symmetric_quantize]; -"63 MobileNetV3/Sequential[features]/InvertedResidual[3]/Sequential[block]/ConvBNActivation[1]/NNCFConv2d[0]/conv2d_0" [id=63, type=conv2d]; -"64 MobileNetV3/Sequential[features]/InvertedResidual[3]/Sequential[block]/ConvBNActivation[1]/NNCFBatchNorm2d[1]/batch_norm_0" [id=64, type=batch_norm]; -"65 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MobileNetV3/Sequential[features]/InvertedResidual[4]/Sequential[block]/ConvBNActivation[0]/NNCFConv2d[0]/ModuleDict[pre_ops]/UpdateWeight[0]/RBSparsifyingWeight[op]/apply_binary_mask_0" [id=76, type=apply_binary_mask]; -"77 MobileNetV3/Sequential[features]/InvertedResidual[4]/Sequential[block]/ConvBNActivation[0]/NNCFConv2d[0]/ModuleDict[pre_ops]/UpdateWeight[1]/SymmetricQuantizer[op]/symmetric_quantize_0" [id=77, type=symmetric_quantize]; -"78 MobileNetV3/Sequential[features]/InvertedResidual[4]/Sequential[block]/ConvBNActivation[0]/NNCFConv2d[0]/conv2d_0" [id=78, type=conv2d]; -"79 MobileNetV3/Sequential[features]/InvertedResidual[4]/Sequential[block]/ConvBNActivation[0]/NNCFBatchNorm2d[1]/batch_norm_0" [id=79, type=batch_norm]; -"80 MobileNetV3/Sequential[features]/InvertedResidual[4]/Sequential[block]/ConvBNActivation[0]/Hardswish[2]/hardswish_0" [id=80, type=hardswish]; -"81 MobileNetV3/Sequential[features]/InvertedResidual[4]/Sequential[block]/ConvBNActivation[0]/Hardswish[2]/SymmetricQuantizer/symmetric_quantize_0" [id=81, type=symmetric_quantize]; -"82 MobileNetV3/Sequential[features]/InvertedResidual[4]/Sequential[block]/ConvBNActivation[1]/NNCFConv2d[0]/ModuleDict[pre_ops]/UpdateWeight[0]/RBSparsifyingWeight[op]/calc_rb_binary_mask_0" [id=82, type=calc_rb_binary_mask]; -"83 MobileNetV3/Sequential[features]/InvertedResidual[4]/Sequential[block]/ConvBNActivation[1]/NNCFConv2d[0]/ModuleDict[pre_ops]/UpdateWeight[0]/RBSparsifyingWeight[op]/apply_binary_mask_0" [id=83, type=apply_binary_mask]; -"84 MobileNetV3/Sequential[features]/InvertedResidual[4]/Sequential[block]/ConvBNActivation[1]/NNCFConv2d[0]/ModuleDict[pre_ops]/UpdateWeight[1]/SymmetricQuantizer[op]/symmetric_quantize_0" [id=84, type=symmetric_quantize]; -"85 MobileNetV3/Sequential[features]/InvertedResidual[4]/Sequential[block]/ConvBNActivation[1]/NNCFConv2d[0]/conv2d_0" [id=85, type=conv2d]; 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MobileNetV3/Sequential[classifier]/NNCFLinear[3]/linear_0"; +"398 MobileNetV3/Sequential[classifier]/NNCFLinear[3]/linear_0" -> "399 /nncf_model_output_0"; } diff --git a/tests/torch/data/reference_graphs/quantized_rb_sparsity/senet18.dot b/tests/torch/data/reference_graphs/quantized_rb_sparsity/senet18.dot index a5f32f85745..4a86267ed9f 100644 --- a/tests/torch/data/reference_graphs/quantized_rb_sparsity/senet18.dot +++ b/tests/torch/data/reference_graphs/quantized_rb_sparsity/senet18.dot @@ -24,234 +24,274 @@ strict digraph { "22 SENet/Sequential[layer1]/PreActBlock[0]/NNCFConv2d[conv2]/conv2d_0" [id=22, type=conv2d]; "23 SENet/Sequential[layer1]/PreActBlock[0]/NNCFConv2d[conv2]/SymmetricQuantizer/symmetric_quantize_0" [id=23, type=symmetric_quantize]; "24 SENet/Sequential[layer1]/PreActBlock[0]/avg_pool2d_0" [id=24, type=avg_pool2d]; -"25 SENet/Sequential[layer1]/PreActBlock[0]/NNCFConv2d[fc1]/ModuleDict[pre_ops]/UpdateWeight[0]/RBSparsifyingWeight[op]/calc_rb_binary_mask_0" [id=25, 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type=apply_binary_mask]; +"224 SENet/Sequential[layer4]/PreActBlock[0]/NNCFConv2d[conv1]/ModuleDict[pre_ops]/UpdateWeight[1]/SymmetricQuantizer[op]/symmetric_quantize_0" [id=224, type=symmetric_quantize]; +"225 SENet/Sequential[layer4]/PreActBlock[0]/NNCFConv2d[conv1]/conv2d_0" [id=225, type=conv2d]; +"226 SENet/Sequential[layer4]/PreActBlock[0]/NNCFBatchNorm2d[bn2]/batch_norm_0" [id=226, type=batch_norm]; +"227 SENet/Sequential[layer4]/PreActBlock[0]/relu_1" [id=227, type=relu]; +"228 SENet/Sequential[layer4]/PreActBlock[0]/SymmetricQuantizer/symmetric_quantize_1" [id=228, type=symmetric_quantize]; +"229 SENet/Sequential[layer4]/PreActBlock[0]/NNCFConv2d[conv2]/ModuleDict[pre_ops]/UpdateWeight[0]/RBSparsifyingWeight[op]/calc_rb_binary_mask_0" [id=229, type=calc_rb_binary_mask]; +"230 SENet/Sequential[layer4]/PreActBlock[0]/NNCFConv2d[conv2]/ModuleDict[pre_ops]/UpdateWeight[0]/RBSparsifyingWeight[op]/apply_binary_mask_0" [id=230, type=apply_binary_mask]; +"231 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SENet/Sequential[layer4]/PreActBlock[0]/NNCFConv2d[fc1]/ModuleDict[pre_ops]/UpdateWeight[1]/SymmetricQuantizer[op]/symmetric_quantize_0" [id=238, type=symmetric_quantize]; +"239 SENet/Sequential[layer4]/PreActBlock[0]/NNCFConv2d[fc1]/conv2d_0" [id=239, type=conv2d]; +"240 SENet/Sequential[layer4]/PreActBlock[0]/relu_2" [id=240, type=relu]; +"241 SENet/Sequential[layer4]/PreActBlock[0]/SymmetricQuantizer/symmetric_quantize_3" [id=241, type=symmetric_quantize]; +"242 SENet/Sequential[layer4]/PreActBlock[0]/NNCFConv2d[fc2]/ModuleDict[pre_ops]/UpdateWeight[0]/RBSparsifyingWeight[op]/calc_rb_binary_mask_0" [id=242, type=calc_rb_binary_mask]; +"243 SENet/Sequential[layer4]/PreActBlock[0]/NNCFConv2d[fc2]/ModuleDict[pre_ops]/UpdateWeight[0]/RBSparsifyingWeight[op]/apply_binary_mask_0" [id=243, type=apply_binary_mask]; +"244 SENet/Sequential[layer4]/PreActBlock[0]/NNCFConv2d[fc2]/ModuleDict[pre_ops]/UpdateWeight[1]/SymmetricQuantizer[op]/symmetric_quantize_0" [id=244, type=symmetric_quantize]; +"245 SENet/Sequential[layer4]/PreActBlock[0]/NNCFConv2d[fc2]/conv2d_0" [id=245, type=conv2d]; +"246 SENet/Sequential[layer4]/PreActBlock[0]/sigmoid_0" [id=246, type=sigmoid]; +"247 SENet/Sequential[layer4]/PreActBlock[0]/SymmetricQuantizer/symmetric_quantize_4" [id=247, type=symmetric_quantize]; +"248 SENet/Sequential[layer4]/PreActBlock[0]/__mul___0" [id=248, type=__mul__]; +"249 SENet/Sequential[layer4]/PreActBlock[0]/SymmetricQuantizer/symmetric_quantize_5" [id=249, type=symmetric_quantize]; +"250 SENet/Sequential[layer4]/PreActBlock[0]/__iadd___0" [id=250, type=__iadd__]; +"251 SENet/Sequential[layer4]/PreActBlock[0]/SymmetricQuantizer/symmetric_quantize_6" [id=251, type=symmetric_quantize]; +"252 SENet/Sequential[layer4]/PreActBlock[1]/NNCFBatchNorm2d[bn1]/batch_norm_0" [id=252, type=batch_norm]; +"253 SENet/Sequential[layer4]/PreActBlock[1]/relu_0" [id=253, type=relu]; +"254 SENet/Sequential[layer4]/PreActBlock[1]/SymmetricQuantizer/symmetric_quantize_0" [id=254, type=symmetric_quantize]; +"255 SENet/Sequential[layer4]/PreActBlock[1]/NNCFConv2d[conv1]/ModuleDict[pre_ops]/UpdateWeight[0]/RBSparsifyingWeight[op]/calc_rb_binary_mask_0" [id=255, type=calc_rb_binary_mask]; +"256 SENet/Sequential[layer4]/PreActBlock[1]/NNCFConv2d[conv1]/ModuleDict[pre_ops]/UpdateWeight[0]/RBSparsifyingWeight[op]/apply_binary_mask_0" [id=256, type=apply_binary_mask]; +"257 SENet/Sequential[layer4]/PreActBlock[1]/NNCFConv2d[conv1]/ModuleDict[pre_ops]/UpdateWeight[1]/SymmetricQuantizer[op]/symmetric_quantize_0" [id=257, type=symmetric_quantize]; +"258 SENet/Sequential[layer4]/PreActBlock[1]/NNCFConv2d[conv1]/conv2d_0" [id=258, type=conv2d]; +"259 SENet/Sequential[layer4]/PreActBlock[1]/NNCFBatchNorm2d[bn2]/batch_norm_0" [id=259, type=batch_norm]; +"260 SENet/Sequential[layer4]/PreActBlock[1]/relu_1" [id=260, type=relu]; +"261 SENet/Sequential[layer4]/PreActBlock[1]/SymmetricQuantizer/symmetric_quantize_1" [id=261, type=symmetric_quantize]; +"262 SENet/Sequential[layer4]/PreActBlock[1]/NNCFConv2d[conv2]/ModuleDict[pre_ops]/UpdateWeight[0]/RBSparsifyingWeight[op]/calc_rb_binary_mask_0" [id=262, type=calc_rb_binary_mask]; +"263 SENet/Sequential[layer4]/PreActBlock[1]/NNCFConv2d[conv2]/ModuleDict[pre_ops]/UpdateWeight[0]/RBSparsifyingWeight[op]/apply_binary_mask_0" [id=263, type=apply_binary_mask]; +"264 SENet/Sequential[layer4]/PreActBlock[1]/NNCFConv2d[conv2]/ModuleDict[pre_ops]/UpdateWeight[1]/SymmetricQuantizer[op]/symmetric_quantize_0" [id=264, type=symmetric_quantize]; +"265 SENet/Sequential[layer4]/PreActBlock[1]/NNCFConv2d[conv2]/conv2d_0" [id=265, type=conv2d]; +"266 SENet/Sequential[layer4]/PreActBlock[1]/NNCFConv2d[conv2]/SymmetricQuantizer/symmetric_quantize_0" [id=266, type=symmetric_quantize]; +"267 SENet/Sequential[layer4]/PreActBlock[1]/avg_pool2d_0" [id=267, type=avg_pool2d]; +"268 SENet/Sequential[layer4]/PreActBlock[1]/SymmetricQuantizer/symmetric_quantize_2" [id=268, type=symmetric_quantize]; +"269 SENet/Sequential[layer4]/PreActBlock[1]/NNCFConv2d[fc1]/ModuleDict[pre_ops]/UpdateWeight[0]/RBSparsifyingWeight[op]/calc_rb_binary_mask_0" [id=269, type=calc_rb_binary_mask]; +"270 SENet/Sequential[layer4]/PreActBlock[1]/NNCFConv2d[fc1]/ModuleDict[pre_ops]/UpdateWeight[0]/RBSparsifyingWeight[op]/apply_binary_mask_0" [id=270, type=apply_binary_mask]; +"271 SENet/Sequential[layer4]/PreActBlock[1]/NNCFConv2d[fc1]/ModuleDict[pre_ops]/UpdateWeight[1]/SymmetricQuantizer[op]/symmetric_quantize_0" [id=271, type=symmetric_quantize]; +"272 SENet/Sequential[layer4]/PreActBlock[1]/NNCFConv2d[fc1]/conv2d_0" [id=272, type=conv2d]; +"273 SENet/Sequential[layer4]/PreActBlock[1]/relu_2" [id=273, type=relu]; +"274 SENet/Sequential[layer4]/PreActBlock[1]/SymmetricQuantizer/symmetric_quantize_3" [id=274, type=symmetric_quantize]; +"275 SENet/Sequential[layer4]/PreActBlock[1]/NNCFConv2d[fc2]/ModuleDict[pre_ops]/UpdateWeight[0]/RBSparsifyingWeight[op]/calc_rb_binary_mask_0" [id=275, type=calc_rb_binary_mask]; +"276 SENet/Sequential[layer4]/PreActBlock[1]/NNCFConv2d[fc2]/ModuleDict[pre_ops]/UpdateWeight[0]/RBSparsifyingWeight[op]/apply_binary_mask_0" [id=276, type=apply_binary_mask]; +"277 SENet/Sequential[layer4]/PreActBlock[1]/NNCFConv2d[fc2]/ModuleDict[pre_ops]/UpdateWeight[1]/SymmetricQuantizer[op]/symmetric_quantize_0" [id=277, type=symmetric_quantize]; +"278 SENet/Sequential[layer4]/PreActBlock[1]/NNCFConv2d[fc2]/conv2d_0" [id=278, type=conv2d]; +"279 SENet/Sequential[layer4]/PreActBlock[1]/sigmoid_0" [id=279, type=sigmoid]; +"280 SENet/Sequential[layer4]/PreActBlock[1]/SymmetricQuantizer/symmetric_quantize_4" [id=280, type=symmetric_quantize]; +"281 SENet/Sequential[layer4]/PreActBlock[1]/__mul___0" [id=281, type=__mul__]; +"282 SENet/Sequential[layer4]/PreActBlock[1]/SymmetricQuantizer/symmetric_quantize_5" [id=282, type=symmetric_quantize]; +"283 SENet/Sequential[layer4]/PreActBlock[1]/__iadd___0" [id=283, type=__iadd__]; +"284 SENet/Sequential[layer4]/PreActBlock[1]/SymmetricQuantizer/symmetric_quantize_6" [id=284, type=symmetric_quantize]; +"285 SENet/avg_pool2d_0" [id=285, type=avg_pool2d]; +"286 SENet/NNCFNetworkInterface[_nncf]/ModuleDict[external_quantizers]/SymmetricQuantizer[SENet/avg_pool2d_0|OUTPUT]/symmetric_quantize_0" [id=286, type=symmetric_quantize]; +"287 SENet/view_0" [id=287, type=view]; +"288 SENet/NNCFLinear[linear]/ModuleDict[pre_ops]/UpdateWeight[0]/RBSparsifyingWeight[op]/calc_rb_binary_mask_0" [id=288, type=calc_rb_binary_mask]; +"289 SENet/NNCFLinear[linear]/ModuleDict[pre_ops]/UpdateWeight[0]/RBSparsifyingWeight[op]/apply_binary_mask_0" [id=289, type=apply_binary_mask]; +"290 SENet/NNCFLinear[linear]/ModuleDict[pre_ops]/UpdateWeight[1]/SymmetricQuantizer[op]/symmetric_quantize_0" [id=290, type=symmetric_quantize]; +"291 SENet/NNCFLinear[linear]/linear_0" [id=291, type=linear]; +"292 /nncf_model_output_0" [id=292, type=nncf_model_output]; "0 /nncf_model_input_0" -> "1 SymmetricQuantizer/symmetric_quantize_0"; "1 SymmetricQuantizer/symmetric_quantize_0" -> "5 SENet/NNCFConv2d[conv1]/conv2d_0"; "2 SENet/NNCFConv2d[conv1]/ModuleDict[pre_ops]/UpdateWeight[0]/RBSparsifyingWeight[op]/calc_rb_binary_mask_0" -> "3 SENet/NNCFConv2d[conv1]/ModuleDict[pre_ops]/UpdateWeight[0]/RBSparsifyingWeight[op]/apply_binary_mask_0"; @@ -261,7 +301,7 @@ strict digraph { "6 SENet/NNCFBatchNorm2d[bn1]/batch_norm_0" -> "7 SENet/relu_0"; "7 SENet/relu_0" -> "8 SENet/NNCFNetworkInterface[_nncf]/ModuleDict[external_quantizers]/SymmetricQuantizer[SENet/relu_0|OUTPUT]/symmetric_quantize_0"; "8 SENet/NNCFNetworkInterface[_nncf]/ModuleDict[external_quantizers]/SymmetricQuantizer[SENet/relu_0|OUTPUT]/symmetric_quantize_0" -> "9 SENet/Sequential[layer1]/PreActBlock[0]/NNCFBatchNorm2d[bn1]/batch_norm_0"; -"8 SENet/NNCFNetworkInterface[_nncf]/ModuleDict[external_quantizers]/SymmetricQuantizer[SENet/relu_0|OUTPUT]/symmetric_quantize_0" -> "35 SENet/Sequential[layer1]/PreActBlock[0]/__iadd___0"; +"8 SENet/NNCFNetworkInterface[_nncf]/ModuleDict[external_quantizers]/SymmetricQuantizer[SENet/relu_0|OUTPUT]/symmetric_quantize_0" -> "40 SENet/Sequential[layer1]/PreActBlock[0]/__iadd___0"; "9 SENet/Sequential[layer1]/PreActBlock[0]/NNCFBatchNorm2d[bn1]/batch_norm_0" -> "10 SENet/Sequential[layer1]/PreActBlock[0]/relu_0"; "10 SENet/Sequential[layer1]/PreActBlock[0]/relu_0" -> "11 SENet/Sequential[layer1]/PreActBlock[0]/SymmetricQuantizer/symmetric_quantize_0"; "11 SENet/Sequential[layer1]/PreActBlock[0]/SymmetricQuantizer/symmetric_quantize_0" -> "15 SENet/Sequential[layer1]/PreActBlock[0]/NNCFConv2d[conv1]/conv2d_0"; @@ -277,247 +317,287 @@ strict digraph { "21 SENet/Sequential[layer1]/PreActBlock[0]/NNCFConv2d[conv2]/ModuleDict[pre_ops]/UpdateWeight[1]/SymmetricQuantizer[op]/symmetric_quantize_0" -> "22 SENet/Sequential[layer1]/PreActBlock[0]/NNCFConv2d[conv2]/conv2d_0"; "22 SENet/Sequential[layer1]/PreActBlock[0]/NNCFConv2d[conv2]/conv2d_0" -> "23 SENet/Sequential[layer1]/PreActBlock[0]/NNCFConv2d[conv2]/SymmetricQuantizer/symmetric_quantize_0"; "23 SENet/Sequential[layer1]/PreActBlock[0]/NNCFConv2d[conv2]/SymmetricQuantizer/symmetric_quantize_0" -> "24 SENet/Sequential[layer1]/PreActBlock[0]/avg_pool2d_0"; -"23 SENet/Sequential[layer1]/PreActBlock[0]/NNCFConv2d[conv2]/SymmetricQuantizer/symmetric_quantize_0" -> "33 SENet/Sequential[layer1]/PreActBlock[0]/__mul___0"; -"24 SENet/Sequential[layer1]/PreActBlock[0]/avg_pool2d_0" -> "27 SENet/Sequential[layer1]/PreActBlock[0]/NNCFConv2d[fc1]/conv2d_0"; -"25 SENet/Sequential[layer1]/PreActBlock[0]/NNCFConv2d[fc1]/ModuleDict[pre_ops]/UpdateWeight[0]/RBSparsifyingWeight[op]/calc_rb_binary_mask_0" -> "26 SENet/Sequential[layer1]/PreActBlock[0]/NNCFConv2d[fc1]/ModuleDict[pre_ops]/UpdateWeight[0]/RBSparsifyingWeight[op]/apply_binary_mask_0"; -"26 SENet/Sequential[layer1]/PreActBlock[0]/NNCFConv2d[fc1]/ModuleDict[pre_ops]/UpdateWeight[0]/RBSparsifyingWeight[op]/apply_binary_mask_0" -> "27 SENet/Sequential[layer1]/PreActBlock[0]/NNCFConv2d[fc1]/conv2d_0"; -"27 SENet/Sequential[layer1]/PreActBlock[0]/NNCFConv2d[fc1]/conv2d_0" -> "28 SENet/Sequential[layer1]/PreActBlock[0]/relu_2"; -"28 SENet/Sequential[layer1]/PreActBlock[0]/relu_2" -> "31 SENet/Sequential[layer1]/PreActBlock[0]/NNCFConv2d[fc2]/conv2d_0"; -"29 SENet/Sequential[layer1]/PreActBlock[0]/NNCFConv2d[fc2]/ModuleDict[pre_ops]/UpdateWeight[0]/RBSparsifyingWeight[op]/calc_rb_binary_mask_0" -> "30 SENet/Sequential[layer1]/PreActBlock[0]/NNCFConv2d[fc2]/ModuleDict[pre_ops]/UpdateWeight[0]/RBSparsifyingWeight[op]/apply_binary_mask_0"; -"30 SENet/Sequential[layer1]/PreActBlock[0]/NNCFConv2d[fc2]/ModuleDict[pre_ops]/UpdateWeight[0]/RBSparsifyingWeight[op]/apply_binary_mask_0" -> "31 SENet/Sequential[layer1]/PreActBlock[0]/NNCFConv2d[fc2]/conv2d_0"; -"31 SENet/Sequential[layer1]/PreActBlock[0]/NNCFConv2d[fc2]/conv2d_0" -> "32 SENet/Sequential[layer1]/PreActBlock[0]/sigmoid_0"; -"32 SENet/Sequential[layer1]/PreActBlock[0]/sigmoid_0" -> "33 SENet/Sequential[layer1]/PreActBlock[0]/__mul___0"; -"33 SENet/Sequential[layer1]/PreActBlock[0]/__mul___0" -> "34 SENet/Sequential[layer1]/PreActBlock[0]/SymmetricQuantizer/symmetric_quantize_2"; -"34 SENet/Sequential[layer1]/PreActBlock[0]/SymmetricQuantizer/symmetric_quantize_2" -> "35 SENet/Sequential[layer1]/PreActBlock[0]/__iadd___0"; -"35 SENet/Sequential[layer1]/PreActBlock[0]/__iadd___0" -> "36 SENet/Sequential[layer1]/PreActBlock[0]/SymmetricQuantizer/symmetric_quantize_3"; -"36 SENet/Sequential[layer1]/PreActBlock[0]/SymmetricQuantizer/symmetric_quantize_3" -> "37 SENet/Sequential[layer1]/PreActBlock[1]/NNCFBatchNorm2d[bn1]/batch_norm_0"; -"36 SENet/Sequential[layer1]/PreActBlock[0]/SymmetricQuantizer/symmetric_quantize_3" -> "63 SENet/Sequential[layer1]/PreActBlock[1]/__iadd___0"; -"37 SENet/Sequential[layer1]/PreActBlock[1]/NNCFBatchNorm2d[bn1]/batch_norm_0" -> "38 SENet/Sequential[layer1]/PreActBlock[1]/relu_0"; -"38 SENet/Sequential[layer1]/PreActBlock[1]/relu_0" -> "39 SENet/Sequential[layer1]/PreActBlock[1]/SymmetricQuantizer/symmetric_quantize_0"; -"39 SENet/Sequential[layer1]/PreActBlock[1]/SymmetricQuantizer/symmetric_quantize_0" -> "43 SENet/Sequential[layer1]/PreActBlock[1]/NNCFConv2d[conv1]/conv2d_0"; -"40 SENet/Sequential[layer1]/PreActBlock[1]/NNCFConv2d[conv1]/ModuleDict[pre_ops]/UpdateWeight[0]/RBSparsifyingWeight[op]/calc_rb_binary_mask_0" -> "41 SENet/Sequential[layer1]/PreActBlock[1]/NNCFConv2d[conv1]/ModuleDict[pre_ops]/UpdateWeight[0]/RBSparsifyingWeight[op]/apply_binary_mask_0"; -"41 SENet/Sequential[layer1]/PreActBlock[1]/NNCFConv2d[conv1]/ModuleDict[pre_ops]/UpdateWeight[0]/RBSparsifyingWeight[op]/apply_binary_mask_0" -> "42 SENet/Sequential[layer1]/PreActBlock[1]/NNCFConv2d[conv1]/ModuleDict[pre_ops]/UpdateWeight[1]/SymmetricQuantizer[op]/symmetric_quantize_0"; -"42 SENet/Sequential[layer1]/PreActBlock[1]/NNCFConv2d[conv1]/ModuleDict[pre_ops]/UpdateWeight[1]/SymmetricQuantizer[op]/symmetric_quantize_0" -> "43 SENet/Sequential[layer1]/PreActBlock[1]/NNCFConv2d[conv1]/conv2d_0"; -"43 SENet/Sequential[layer1]/PreActBlock[1]/NNCFConv2d[conv1]/conv2d_0" -> "44 SENet/Sequential[layer1]/PreActBlock[1]/NNCFBatchNorm2d[bn2]/batch_norm_0"; -"44 SENet/Sequential[layer1]/PreActBlock[1]/NNCFBatchNorm2d[bn2]/batch_norm_0" -> "45 SENet/Sequential[layer1]/PreActBlock[1]/relu_1"; -"45 SENet/Sequential[layer1]/PreActBlock[1]/relu_1" -> "46 SENet/Sequential[layer1]/PreActBlock[1]/SymmetricQuantizer/symmetric_quantize_1"; -"46 SENet/Sequential[layer1]/PreActBlock[1]/SymmetricQuantizer/symmetric_quantize_1" -> "50 SENet/Sequential[layer1]/PreActBlock[1]/NNCFConv2d[conv2]/conv2d_0"; -"47 SENet/Sequential[layer1]/PreActBlock[1]/NNCFConv2d[conv2]/ModuleDict[pre_ops]/UpdateWeight[0]/RBSparsifyingWeight[op]/calc_rb_binary_mask_0" -> "48 SENet/Sequential[layer1]/PreActBlock[1]/NNCFConv2d[conv2]/ModuleDict[pre_ops]/UpdateWeight[0]/RBSparsifyingWeight[op]/apply_binary_mask_0"; -"48 SENet/Sequential[layer1]/PreActBlock[1]/NNCFConv2d[conv2]/ModuleDict[pre_ops]/UpdateWeight[0]/RBSparsifyingWeight[op]/apply_binary_mask_0" -> "49 SENet/Sequential[layer1]/PreActBlock[1]/NNCFConv2d[conv2]/ModuleDict[pre_ops]/UpdateWeight[1]/SymmetricQuantizer[op]/symmetric_quantize_0"; -"49 SENet/Sequential[layer1]/PreActBlock[1]/NNCFConv2d[conv2]/ModuleDict[pre_ops]/UpdateWeight[1]/SymmetricQuantizer[op]/symmetric_quantize_0" -> "50 SENet/Sequential[layer1]/PreActBlock[1]/NNCFConv2d[conv2]/conv2d_0"; -"50 SENet/Sequential[layer1]/PreActBlock[1]/NNCFConv2d[conv2]/conv2d_0" -> "51 SENet/Sequential[layer1]/PreActBlock[1]/NNCFConv2d[conv2]/SymmetricQuantizer/symmetric_quantize_0"; -"51 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SENet/Sequential[layer4]/PreActBlock[1]/NNCFConv2d[fc2]/ModuleDict[pre_ops]/UpdateWeight[0]/RBSparsifyingWeight[op]/apply_binary_mask_0" -> "277 SENet/Sequential[layer4]/PreActBlock[1]/NNCFConv2d[fc2]/ModuleDict[pre_ops]/UpdateWeight[1]/SymmetricQuantizer[op]/symmetric_quantize_0"; +"277 SENet/Sequential[layer4]/PreActBlock[1]/NNCFConv2d[fc2]/ModuleDict[pre_ops]/UpdateWeight[1]/SymmetricQuantizer[op]/symmetric_quantize_0" -> "278 SENet/Sequential[layer4]/PreActBlock[1]/NNCFConv2d[fc2]/conv2d_0"; +"278 SENet/Sequential[layer4]/PreActBlock[1]/NNCFConv2d[fc2]/conv2d_0" -> "279 SENet/Sequential[layer4]/PreActBlock[1]/sigmoid_0"; +"279 SENet/Sequential[layer4]/PreActBlock[1]/sigmoid_0" -> "280 SENet/Sequential[layer4]/PreActBlock[1]/SymmetricQuantizer/symmetric_quantize_4"; +"280 SENet/Sequential[layer4]/PreActBlock[1]/SymmetricQuantizer/symmetric_quantize_4" -> "281 SENet/Sequential[layer4]/PreActBlock[1]/__mul___0"; +"281 SENet/Sequential[layer4]/PreActBlock[1]/__mul___0" -> "282 SENet/Sequential[layer4]/PreActBlock[1]/SymmetricQuantizer/symmetric_quantize_5"; +"282 SENet/Sequential[layer4]/PreActBlock[1]/SymmetricQuantizer/symmetric_quantize_5" -> "283 SENet/Sequential[layer4]/PreActBlock[1]/__iadd___0"; +"283 SENet/Sequential[layer4]/PreActBlock[1]/__iadd___0" -> "284 SENet/Sequential[layer4]/PreActBlock[1]/SymmetricQuantizer/symmetric_quantize_6"; +"284 SENet/Sequential[layer4]/PreActBlock[1]/SymmetricQuantizer/symmetric_quantize_6" -> "285 SENet/avg_pool2d_0"; +"285 SENet/avg_pool2d_0" -> "286 SENet/NNCFNetworkInterface[_nncf]/ModuleDict[external_quantizers]/SymmetricQuantizer[SENet/avg_pool2d_0|OUTPUT]/symmetric_quantize_0"; +"286 SENet/NNCFNetworkInterface[_nncf]/ModuleDict[external_quantizers]/SymmetricQuantizer[SENet/avg_pool2d_0|OUTPUT]/symmetric_quantize_0" -> "287 SENet/view_0"; +"287 SENet/view_0" -> "291 SENet/NNCFLinear[linear]/linear_0"; +"288 SENet/NNCFLinear[linear]/ModuleDict[pre_ops]/UpdateWeight[0]/RBSparsifyingWeight[op]/calc_rb_binary_mask_0" -> "289 SENet/NNCFLinear[linear]/ModuleDict[pre_ops]/UpdateWeight[0]/RBSparsifyingWeight[op]/apply_binary_mask_0"; +"289 SENet/NNCFLinear[linear]/ModuleDict[pre_ops]/UpdateWeight[0]/RBSparsifyingWeight[op]/apply_binary_mask_0" -> "290 SENet/NNCFLinear[linear]/ModuleDict[pre_ops]/UpdateWeight[1]/SymmetricQuantizer[op]/symmetric_quantize_0"; +"290 SENet/NNCFLinear[linear]/ModuleDict[pre_ops]/UpdateWeight[1]/SymmetricQuantizer[op]/symmetric_quantize_0" -> "291 SENet/NNCFLinear[linear]/linear_0"; +"291 SENet/NNCFLinear[linear]/linear_0" -> "292 /nncf_model_output_0"; }