From 34cb44173b6a0d43c5571fb7f8476b880cd552b2 Mon Sep 17 00:00:00 2001 From: Nikita Malinin Date: Tue, 5 Nov 2024 11:57:48 +0100 Subject: [PATCH] Update references (#3058) ### Changes - Fixed old issues in models. - Updated reference. ### Reason for changes - openvino-nightly. ### Related tickets - 156604 ### Tests - windows_precommit_openvino/63/ - passed - ubuntu20_precommit_openvino/107/ - passed --- .../quantized/ssd-vgg-300_performance.dot | 1202 +++++++++++++++++ tests/openvino/native/models.py | 4 +- 2 files changed, 1204 insertions(+), 2 deletions(-) create mode 100644 tests/openvino/native/data/2024.5/reference_graphs/quantized/ssd-vgg-300_performance.dot diff --git a/tests/openvino/native/data/2024.5/reference_graphs/quantized/ssd-vgg-300_performance.dot b/tests/openvino/native/data/2024.5/reference_graphs/quantized/ssd-vgg-300_performance.dot new file mode 100644 index 00000000000..a19aaf81ca4 --- /dev/null +++ b/tests/openvino/native/data/2024.5/reference_graphs/quantized/ssd-vgg-300_performance.dot @@ -0,0 +1,1202 @@ +strict digraph { +"0 input.1" [id=0, type=Parameter]; 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+"587 /detection_head/heads.0/loc/Conv/WithoutBiases/fq_weights_1/input_low" -> "583 /detection_head/heads.0/loc/Conv/WithoutBiases/fq_weights_1" [label="[16, 1, 1, 1]", style=solid]; +"588 detection_head.heads.0.loc.weight" -> "583 /detection_head/heads.0/loc/Conv/WithoutBiases/fq_weights_1" [label="[16, 512, 3, 3]", style=solid]; +} diff --git a/tests/openvino/native/models.py b/tests/openvino/native/models.py index 5f779bd96e9..9540cb2d0a3 100644 --- a/tests/openvino/native/models.py +++ b/tests/openvino/native/models.py @@ -1023,7 +1023,7 @@ def _create_ov_model(self, is_int8=False, with_multiply=False, n_layers=8): alpha = np.array([1.5], dtype=np.float32) alpha = opset.constant(alpha, dtype=np.float32) lambda_value = np.array([1.5], dtype=np.float32) - lambda_value = opset.constant(alpha, dtype=np.float32) + lambda_value = opset.constant(lambda_value, dtype=np.float32) node2 = opset.selu(mm2, alpha, lambda_value, name=f"SeLU_{i}") node_multiply = opset.multiply(node1, node2, name=f"Multiply_{i}") @@ -1108,7 +1108,7 @@ def _create_ov_model(self, stateful=True): result.get_output_tensor(0).set_names(set(["Result"])) model = ov.Model(results=[result], sinks=[node], parameters=[input_data], name="TestModel") else: - bias = opset.constant(init_val, data_type) + bias = opset.constant(np.zeros(input_shape), data_type) add = opset.add(input_data, bias, name="Add") scale_val = opset.constant(np.ones(input_shape), data_type) scale = opset.multiply(add, scale_val, name="Scale")