python fix #1
Merged
python fix #1
Conversation
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
ilya-lavrenov
pushed a commit
that referenced
this pull request
Jul 16, 2020
* Specify operation CTCLoss-4 Signed-off-by: Roman Kazantsev <[email protected]> * Correct documentation for CTCLoss after #1 review Signed-off-by: Roman Kazantsev <[email protected]> * Correct documentation for CTCLoss after #2 review Signed-off-by: Roman Kazantsev <[email protected]> * Correct documentation for CTCLoss after #3 review * Correct documentation for CTCLoss after #4 review Signed-off-by: Roman Kazantsev <[email protected]> * Correct layout for logits and add more description for unique attribute Signed-off-by: Roman Kazantsev <[email protected]> * Correct types for length and indices tensors Signed-off-by: Roman Kazantsev <[email protected]> * Correct formulas and punctuation Signed-off-by: Roman Kazantsev <[email protected]>
ilya-lavrenov
pushed a commit
that referenced
this pull request
Jul 20, 2020
* Doc Migration from Gitlab (openvinotoolkit#1289) * doc migration * fix * Update FakeQuantize_1.md * Update performance_benchmarks.md * Updates graphs for FPGA * Update performance_benchmarks.md * Change DL Workbench structure (#1) * Changed DL Workbench structure * Fixed tags * fixes * Update ie_docs.xml * Update performance_benchmarks_faq.md * Fixes in DL Workbench layout * Fixes for CVS-31290 * [DL Workbench] Minor correction * Fix for CVS-30955 * Added nGraph deprecation notice as requested by Zoe * fix broken links in api doxy layouts * CVS-31131 fixes * Additional fixes * Fixed POT TOC * Update PAC_Configure.md PAC DCP 1.2.1 install guide. * Update inference_engine_intro.md * fix broken link * Update opset.md * fix * added opset4 to layout * added new opsets to layout, set labels for them * Update VisionAcceleratorFPGA_Configure.md Updated from 2020.3 to 2020.4 Co-authored-by: domi2000 <[email protected]>
ilya-lavrenov
pushed a commit
that referenced
this pull request
Jul 22, 2020
* doc migration * fix * Update FakeQuantize_1.md * Update performance_benchmarks.md * Updates graphs for FPGA * Update performance_benchmarks.md * Change DL Workbench structure (#1) * Changed DL Workbench structure * Fixed tags * fixes * Update ie_docs.xml * Update performance_benchmarks_faq.md * Fixes in DL Workbench layout * Fixes for CVS-31290 * [DL Workbench] Minor correction * Fix for CVS-30955 * Added nGraph deprecation notice as requested by Zoe * fix broken links in api doxy layouts * CVS-31131 fixes * Additional fixes * Fixed POT TOC * Update PAC_Configure.md PAC DCP 1.2.1 install guide. * Update inference_engine_intro.md * fix broken link * Update opset.md
ilya-lavrenov
pushed a commit
that referenced
this pull request
Aug 28, 2020
…n and test (openvinotoolkit#1906) * Implement reshapeable CTCGreedyDecoderPlusSparseToDense transformation and test Signed-off-by: Roman Kazantsev <[email protected]> * Fix consts (after code-review #1) Signed-off-by: Roman Kazantsev <[email protected]> * Add CTCGreedyDecoderTransformation with more generic pattern Also it adds new middle-replacer for transforming sequence length to a mask along with tests. Signed-off-by: Roman Kazantsev <[email protected]> * Do fixes after review #2 Signed-off-by: Roman Kazantsev <[email protected]> * Fix after review #3 Signed-off-by: Roman Kazantsev <[email protected]> * Fix after review #4 Signed-off-by: Roman Kazantsev <[email protected]>
ilya-lavrenov
pushed a commit
that referenced
this pull request
Sep 10, 2020
…on (openvinotoolkit#2078) * Support python 3.8 by the Model Optimizer tool in default configuration * Fix after review #1 * Fix after the second round review
ilya-lavrenov
pushed a commit
that referenced
this pull request
Oct 20, 2020
ilya-lavrenov
pushed a commit
that referenced
this pull request
Oct 20, 2020
ilya-lavrenov
pushed a commit
that referenced
this pull request
Oct 20, 2020
ilya-lavrenov
pushed a commit
that referenced
this pull request
Oct 20, 2020
* Implement LookupTableInsertV2 shape inference It is needed if other nodes not beeing pruned in the graph have a conditional dependence on LookupTableInsertV2 node. Signed-off-by: Roman Kazantsev <[email protected]> * Fix after core-review #1 Signed-off-by: Roman Kazantsev <[email protected]> * Fix the code after review #2 Signed-off-by: Roman Kazantsev <[email protected]> * Fix after code review #3
ilya-lavrenov
pushed a commit
that referenced
this pull request
Oct 23, 2020
* [LPT] Replace creation of dequantization with factory * [ngraph][LPT] Add ScaleShift replace for dequantization operations * [LPT] SubtractMultiplyToMultiplyAdd refactoring * [LPT] Code style fix * [LPT] Edit SubtractMultiplyToMultiplyAdd transformation for dequantization * [LPT] Linux compilation quick fix * [LPT] [WIP] runtime info applying * [LPT] Concat transformation functional tests extending * [LPT] MultiplyToConvolution + Subtract to add fusing + improvements in LowPrecisionTransformer * [LPT] linux compilation error fix * [LPT] compilation error * [LPT] MultiplyToGroupConvolution fix: 5D support * [LPT] Multiply transformation extending: FQ weights support - wip * [LPT] FQ folding & precision selection * [LPT] code style fixes * [LPT] code style fixes * [LPT] Linux compilation error fix * [LPT] SubtractMultiplyToMultiplyAdd: refactoring * [LPT] Tests fixes * [LPT] MultiplyToGroupConvolution tests * [LPT] Convert subtract with int inputs to Eltwise sub * [LPT] Constant folding fix for quant models * [LPT] 1) Asymmetric quantization improvement 2) tests extending * [LPT] 2 fixes for se_resnext_50 * [LPT] Add transformation priority branch selection test * [LPT] AddMultiplyFusion: legacy transformation quick fix * [LPT] nGraph tests temporary disabling * [LPT] Fix for eltwise inputs with multiple outputs * [LPT] Fix for FQ fuse * [LPT] Reshape by channel, batch temporary disabled * [nGraph][LPT] MatMul fix for reading FP16 models * [LPT] 1) Add (not after Convolution/GroupConvolution/MatMul with Constant) to Subtract 2) precision selection fix: MultiplyToGroupConvolution quick fix * [LPT] DenseNet improvments: AddTransformation: Add to Subtract + tests * [LPT] AddTransformarion refactoring * [LPT] AddTransformation tests temporay disabled * [LPT] ReshapeTransformation improvements: degradation fix * [LPT] code style fix * [LPT] Concat tests temporary disabling * [LPT] tests unification 1) plugin tests: added test-cases and nGraph-validation for clamp, split and variadic split 2) func tests: added test-cases 3) transformNGraph: added the ability to run additional transformations * [LPT] split & variadic split merge fix * [LPT] Clamp: added support for asymmetric quantization * [LPT] added DequantizationAttr run-time attribute * [LPT] debug info removal * [LPT] ConcatTransformation: zero point fix * [LPT] CNNNetwork ReLU transformation quick fix * [LPT] 1) Concat fix 2) ConcatMultiChannels fix 3) Added "Concat with Split" test-cases 4) Subgraph fix * [LPT] 1) Concat fix 2) Added "Concat with different precision on childs" test-case * [LPT] concat fix Ubuntu18 * [LPT] Concat test fixes * [LPT] Not fp32 FQ input support * [LPT] MatMul Fix + separateInStandaloneBranch Fix * [LPT] Fix reference input types in mish fusion tests * [LPT] Fix cpuFuncTests on CentOS building * [nGraph][LPT] ScaleShift 2d, 3d nGraph conversion enabling * [LPT] 1) FullyConnected workaround removing 2) validate_nodes_and_infer_types for LPT * [ngraph] Add check for childs for ConvertSubtract * [LPT] Squeeze/Unsqueeze tests unification * [LPT] Squeeze/Unsqueeze change signature for getReference/getOriginal * [LPT] Mul & Add -> ScaleShift quick fix * [LPT] nGraph tests emporary disabling * [LPT] code style fix * [LPT] code style fix #2 * [LPT] nGraph tests temporary disabling * [LPT] code styl fix #3 * [LPT] shared plugin tests temporary disabling * [LPT] cleanup * [LPT] nGraph unit_tests tests temproary disabling * [LPT] nGraph unit tests disabling #2 * [LPT] nGraph tests disabling * [LPT] nGraph tests temporary disabling * [LPT] WA removing * [LPT] CentOS compilation fix * [LPT] KMB wa to avoid compilation error * [LPT] functional test temporary disabling * [nGraph] code style fixes * [LPT] ConcatTransformation: data movement operation as intermediate handling * [LPT] FuseSubtractToFakeQuantize after VariadicSplit * [LPT] ConcatWithSplitTransformation functional test temporary disabling * [LPT] Clamp and ConcatWithDifferentPrecisionsOnChilds: tests fix * [LPT] MatMul: bert-nv-mlperf-quantized fix * [LPT] Add to convolution biases fuse fix * [LPT] GPU plugin tests fixes * [LPT] Normalize GPU plugin tests fix * [LPT] test-commit * [LPT] CLDNN Plugin FP16 conversion * [LPT] AvgPool update precision if there is not FQ after + convolution precision limitation on activation * [LPT] Convolution fixes * [LPT] FuseSubtractToFakequantize & FuseMultiplyToFakeQuantize improvement * [LPT] FuseSubtractToFakeQuantize test fix * [LPT] FuseSubtractToFakeQuantizeTransformation tests * [LPT] code style fix * [LPT] AvgPool child recursive extend * [LPT] AvgPool tests + fix * [LPT] compilation quick fix * [LPT] Add to convolution biases fuse fix * [LPT] Linux issues: MatMulWithOptimizedConstantFakeQuantizeTransformation temporary disabled * [LPT] Normalize GPU plugin tests fix * [LPT] test-commit * [LPT] 1) added the ability to create sub without dequantizationAttribute 2) fixed optimizeMulAfter: added copying rt_info 3) Tests Unification: Convolution transformation 4) added cleanRunTimeInfo into Network Helper * [LPT] Tests Unification: GroupConvolution * [LPT] removed debug info * [LPT] functional tests for Convolution & GroupConvolution extending * [LPT] [MatMul] Quick fix ubuntu error * [LPT] MatMulTransformation quick test fix: one constant for both intervals * [nGraph] code style fix * [LPT] added output_precision to NormalizeIE * [nGraph] NormalizeIE fix for LPT support * [LPT] nGraph WA removal * [LPT] fixed fillSubgraph for concat multi channels * [LPT] MatMul fix * [nGraph] WA removal: 1) nGraph tests enabling 2) LPT extanding: not handle in FP32 * [LPT] nGraph WA removal: function tests skip config rollback * [LPT] WA removal: precision propagation fix * [LPT] ConvertMulOrAddFinally transformation extending * [nGraph] ConvolutionMultiplyFusion rollback (move from legacy to common) * [nGraph] ConvertMulAddToScaleShiftOrPower: WA removal * [nGraph] TypeRelaxed: WA removal * [nGraph] WA removal: TypeRelaxed * [LPT] WA removal: ConcatTransformation * [nGraph] WA removal: Eltwise & ConvertMulOrAddFinally fixes to support LPT * [nGraph] MulAddConversion fix: 2D & 3D ScaleShift are supproted * [nGraph] VisualizeTree extending * [LPT] FakeQuantizeDequantization extending: check element wise dequantization operation * [LPT] FakeQuantizeDequantization extending: SubtractMultiplyToMultiplyAddTransformation & WeightableLayerTransformation * [LPT] Convolution + test infrastructure update * [LPT] GPU compilation error * [nGraph] BatchNorm plugin tests: input tensor definition * [LPT] LowPrecisionTransformer::isFunctionQuantized was added * [nGraph] WA final cleanup * [nGraph] ScaleShiftIE quick fix * [LPT] Functional tests: added test-cases "Concat with intermediate with constant" * [LPT] Transformer::isNetworkquantized fix * [LPT] SubtractMultiplyToMultiplyAdd zero Add remove: fix for ssd300 on gpu * [LPT] MultiplyToGroupConvolution not transform on Const * [LPT] workaround for negative scales * [LPT] Convert standalone dequantization Mul,Sub,Add to ScaleShift * [LPT] SubtractMultiplyToMultiplyAdd test fix * [LPT] Clamp transformation: GPU tests fix * [LPT] Transformer tests * [LPT] FakeQuantizePrecisionSelectionTransformation was disabled for GPU * [LPT] TransformerIsFunctionQuantized refactoring * [nGraph] code style fix * [LPT] mobilenet_v2_tf_depthwise test update * [LPT] TMP: dequantization folding * [LPT] Elementwise transformation fix: dequantization operations constant folding * [LPT] cleanup * [LPT] denormal values fix * [LPT] FuseFakeQuantize test fixed + negative multiply case * [LPT] FP32 -> FP16 conversion info * [LPT] FQ dot interval support + swapMultiplyAdd safely division * [LPT] test fix * [LPT] Tests for dot interval on FQ + tests for addTransformation enabling * [LPT] Clamp transformation fix * [LPT] FQ prec selection test fix * [LPT] Clamp test case * [LPT] Concat division precision fix * [LPT] cleanup * [LPT] merge fix * [LPT] WIP: MatMul asymmetric quantization fix (BERT) * [LPT] MatMulWithOptimizedConstantFakeQuantizeTransformation disabled * [LPT] GPU Plugin set config fix * [LPT] Fix merge mistakes * [LPT] Rollback device specific INT8 * [LPT] ReshapeFullyConnected fix: FullyConnected output fix * [LPT] bert-base-chinese GPU fix * [ngraph/LPT] Tests for fix convert_mul_or_add_finally with dequantization [ngraph/LPT] Fix convert mul_or_add_finally with dequantization * [LPT] ScaleShift dim < 4 only dequantization conversion * [LPT] MatMul transformation tests extensing * [LPT] ReshapeFullyConnected legacy transformation: LPT test case addition * [nGraph] VisualizeTree extending: property names displying to simplify search * [LPT] getDequantization extending * [LPT] MulAddToScaleshiftOrPower: out precision fix & tests * [LPT] Multiply to ScaleShiftIE: Multiply transformation: remove DEQUANTIZATION if not valid * [LPT] Concat test case * [nGraph] try to fix opencv compatibility * [nGraph] nGraph code style fix * [LPT] InPlace dequantization folding * [LPT] Multiply constant folding test * [LPT] Fix plugin test case for MatMulWithOptimizedConstantFakeQuantize [LPT] Enable MatMulWithOptimizedConstantFakeQuantize plugin test * [LPT] Convolution transformation: mulConst shape fix * [LPT] INT8 Constant folding branch for elementwise ops optimization removal * [LPT] eltwise for const branch fix * [LPT] linux fix * [LPT] Multiply test refactoring * [LPT] Convert Fuse in Constant + tests * [LPT] function comparation: runtime info comparation rollback * [LPT] linux build fix * [LPT] linux build fix2 * [LPT] MatMul transformation limitation was added to be similar as CNNNetwork LPT * [LPT] Reshape transformation update: don't broadcast by batch * [LPT] MatMul transformation limitation was added to be similar as CNNNetwork LPT - refactoring * [LPT] MatMul transformation: transpose input tensors fix * [LPT] checkElementwise for AddTransformation WA: should be moved to getDequantization * [LPT] merge fix * [LPT] MatMul fix & tests * [LPT] AddTransformation tests * [LPT] Interpolate transformation enabled * [LPT] constant folding before LPT * [LPT] WIP: not completed tests * [LPT] GPU degradation fix * [LPT] FuseConvert workaround * [LPT] code cleanup * [LPT] Interpolate GPU test quick fix * [LPT] GroupConvolution fix * [LPT] Fix fusing multiply for non-dequantization layers * [LPT] GPU pipeline update: enableInt8 initialization place update * [LPT] tests compilation fix * [LPT] merge fix * [LPT] tests enabling * [LPT] merge issue resolving * [LPT] LPT CNNNetwork usage macros: part #1: source code * [LPT] LPT CNNNetwork usage macros: part #2: cmake files update and tests addoption * [LPT] LPT workaround from nGraph core removing * [LPT] previous LPT version tests * [LPT] inference_engine_lp_transformations was returned back * [LPT] replace_node rollback * [LPT] ConvertSubtract fix * [LPT] GPU: baselineIsFP16 reuse fix * [LPT] FakeQuantizeTransformation: GPU workaround: I32 -> FP32 Convert is not fused * [LPT] AvgPool output precision workaround * [LPT] Group convolution precision + Subtract to ScaleShift const fix * [LPT] SubMulToMulAdd & Transpose: action-recognition-0001 fix * [LPT] Transpose: added test with per-tensor quantization Co-authored-by: Aleksandr Pertovsky <[email protected]> Co-authored-by: Zinoviev, Vladimir <[email protected]> Co-authored-by: Vladislav Golubev <[email protected]> Co-authored-by: Gorokhov Dmitriy <[email protected]>
ilya-lavrenov
pushed a commit
that referenced
this pull request
Nov 9, 2020
…nvinotoolkit#2450) * Some code style fixes. * Started to write the method v5::NonMaxSuppression::evaluate(). * Started to write nGraph reference implementation of NMS-5. * Some additions. * Written preprocessing of boxes data. * Started to write the function non_max_suppression() that calculates NonMaxSuppression-5 operation. * Written postprocessing of the evaluate(). * Small fixes. * Small fix. * Added include for ngraph/shape.hpp. * Written the function intersectionOverUnion. * Some additions. * Small fix. * Continued to write the function non_max_suppression(). * Small fixes. * Small fixes. * Some changes. * Some additions. * Some replacements size_t by int64_t. * Added casts to float in the construction of selected_score variable. * Code style fixes. * Written draft of NMS-5 nGraph reference implementation. * Code style fixes. * Started to write tests for void op::v5::NonMaxSuppression::validate_and_infer_types(). * Added tests for scalars/nonscalars. * Fixes in the test type_prop.nms_v5_output_shape. * Fixes in tests nms_v5_output_shape_2 and nms_v5_output_shape. * Written tests for validate_and_infer_types() of NMS-5. * Code style fixes. * Now NMS-5 evaluate() can have outputs with calculated shapes. * Small fixes. * Corrected tests for NMS-5 validate_and_infer_type(). * Code style fixes. * Started to write inner version of NMS-5 with static output shapes. * Written draft of the inner operation NonMaxSuppressionIE3. * Started to write conversion of op::v5::NonMaxSuppression into NonMaxSuppressionIE3. * Small changes. * Some additions. * Small fixes. * Fixed typo. * Fixed typos. * Written draft of the transformation ConvertNMS5ToLegacyMatcher that converts ngraph::opset5::NonMaxSuppression into op::NonMaxSuppressionIE3. * Written header file for the transformations from NMS-1, NMS-3, NMS-4 to NMS-5. * Started to write conversion of NMS-4 to NMS-5. * Added include for ngraph/opsets/opset4.hpp. * Started to write conversion of NMS-3 to NMS-5. * Small fixes. * Written draft of the conversion of NMS-3 into NMS-5. * Fixed typo. * Started to write conversion of NMS-1 to NMS-5. * Written draft of the conversion NMS-1 to NMS-5. * Started to write tests for the conversion nGraph NMS-5 to inner NMS. * Started to write the test ConvertNMS5ToNMSIEStatic. * Written tests for conversion of nGraph NMS-5 to inner NMSIE3. * Started to write tests for conversion of previous NMS to nGraph NMS-5. * Written tests for conversion of old nGraph NMS to NMS-5. * Started to write tests for opset5::NonMaxSuppression::evaluate(). * Some additions. * Small fix. * Written tests for op::v5::NonMaxSuppression::evaluate(). * Used NGRAPH_RTTI_DECLARATION for NonMaxSuppressionIE3. * Used NGRAPH_RTTI_DECLARATION for NMS-5. * All static local constants and functions for NMS-5 were moved into non-named namespace. * Some code style fixes. * Moved some file. * Small fix. * Code style fix. * Now NMS-5 supports all floating types in inputs 0 and 1. * Moved some files. * Fixed include directive in the file convert_nms_5_to_legacy.cpp with transformations NMS-1, 3, 4 -> NMS-5. * Small changes. * Deleted conversion NMS-3 -> legacy. * Small changes. * Fix in op::v5::NonMaxSuppression::evaluate: output shape [1] instead of [] in the output port 2. * Code style fixes. * Deleted conversion of NMS-4 into legacy NMS. * Deleted redundant ifs. * Added NMS-5 to Python API. * Code style fix. * Small change. * Fixed element type for constants in the conversion of NMS-5 to NMSIE3. * Deleted support of f64 in NMS-5. * Added checks for input element types for inputs #0, #1, #3, #4, #5. * Small change. * Now get_floats throws an exception for unsupported types. * Now nGraph NMS-5 supports 0D and 1D tensors in inputs #2, #3, #4, #5. * Small fix in test_non_max_suppression. * Deleted using namespace std * Fixes in test_non_max_suppression(). * Small fixes. * Added 'import PartialShape' in test_reduction.py. * Deleted creating fake inputs in the ctor of op::v5::NonMaxSuppression. * Deleted creating fake inputs in op::v5::NonMaxSuppression::clone_with_new_inputs. * Corrections in int64_t op::v5::NonMaxSuppression::max_boxes_output_from_input() const. * Corrected functions float op::v5::NonMaxSuppression::soft_nms_sigma_from_input() const, float op::v5::NonMaxSuppression::score_threshold_from_input() const, float op::v5::NonMaxSuppression::iou_threshold_from_input() const. * Small fixes. * Deleted commented code. * Fixes in nms_v5_scalar_inputs_check. * Some changes. * Small fixes. * Code style fixes. * Small changes. * Small changes. * Small fix. * Deleted commented code. * Some refactoring in ConvertNMS4ToNMS5 ctor. * Small fix. * Common part of conversions NMS-1 -> NMS-5, NMS-3 -> NMS-5, NMS-4 -> NMS-5 was moved into the separate function. * Now conversions NMS-1 -> NMS-5, NMS-3 -> NMS-5, NMS-4 -> NMS-5 support both 2 inputs, and 5 inputs. * Now transformations NMS-1 -> NMS-5, NMS-3 -> NMS-5, NMS-4 -> NMS-5 are called from 'umbrella' transformation. * Now the transformation ConvertNMS5ToLegacyMatcher supports NMS-5 with 2, 3, 4, 5, or 6 inputs. * The transformation ConvertNMS5ToLegacyMatcher was rewritten using Reshape instead of Unsqueeze. * Started to rewrite tests for the transformation ConvertNMS5ToLegacyMatcher. * Some fixes. * Small fixes. * Corrected tests for the transformation NMS-5 -> NMSIE3. * Small formatting fix. * Now methods max_boxes_output_from_input(), iou_threshold_from_input(), score_threshold_from_input(), soft_nms_sigma_from_input() of op::v5::NunMaxSuppression are public. * Started to move op::v5::NonMaxSuppression::evaluate() into ngraph/test/runtime/interpreter. * Added NMS-5 to ngraph/test/runtime/interpreter/int_executable. * Small fixes. * Code style fixes. * Written draft test nonmaxsuppression_center_point_box_format_backend in ngraph/test/backend. * Small fix. * Written draft tests of NonMaxSuppression in ngraph/test/runtime. * Some changes. * Small changes. * Disabled IE_CPU tests for NMS-5. * Deleted op_eval tests for NMS-5. * Deleted evaluate() method of NMS-5. * Now all nGraph functions in tests of the transformation NMS-5 -> NMSIE3 have one output. * Now preprocessing and postprocessing of the calculation of NMS-5 in reference implementation. * Code style fixes. * Some fixes in tests for the transformation NMS-5 -> NMSIE3. * Replaced precision i64 -> i32 for some constants in tests for the transformation NMS-5 -> NMSIE3. * Written creating CNNLayer for NMS-5. * Added creating CNNLayer for NonMaxSuppressionIE3. * some changes. * Now conversions NMS-1, NMS-3, NMS-4 -> NMS-5 and NMS-5 -> NMSIE3 generate NMS nodes with 5 inputs. * Fixed ctor in MKLDNN NonMaxSuppressionImpl: validation of number of output edges. * Added conversion of output_type for NMS-5. * Fixes in the transformation NMS5 -> NMSIE3. * Fixes in the conversion of NMS-5 to NMSIE3. * Fixes in MKLDNN NMS ctor. * Small fix. * Fixed tests for the transformation NMS5 -> NMSIE3. * Fixed tests for conversions NMS-1, NMS-3, NMS-4 -> NMS-5. * Small fixes in MKLDNN NMS ctor. * Rewritten create_layer() functions for NMS-5 and NMSIE3 as addSpecificCreator() functions. * Disabled tests for IE IR reader for NMS-4. * Deleted debug code. * Added comment about disabling tests IE_CPU.nonmaxsuppression. * Written IE IR Reader test for NMS-4. * Deleted function float_from_constant_node. * Small fixes. * Deleted functions function_from_model and construct_weights. * Small fix. * Replaced push_back with emplace_back in the conversion of NMS-5 to legacy. * Small changes. * Some fixes. * Refactored reference implementation of NMS-5. * Moved structure NMSAttributes to unnamed namespace. * Code style fixes. * Small fix.
ilya-lavrenov
pushed a commit
that referenced
this pull request
Nov 11, 2020
…toolkit#3002) * Provide GatherND with original layout for inputs and output Signed-off-by: Roman Kazantsev <[email protected]> * Fix code review #1 Signed-off-by: Roman Kazantsev <[email protected]>
ilya-lavrenov
pushed a commit
that referenced
this pull request
Nov 16, 2020
openvinotoolkit#2767) * Fix ElementwiseInputReshape transformation Reshape node always needs to be inserted in order to preserve ShapeOf nodes (reshapability of a model) that can potentially be above elementwise node. Refactor EltwiseInputReshape_test and EltwiseInputNormalization_test since the logic of maintaining reshape for eltwise has been changed. Signed-off-by: Roman Kazantsev <[email protected]> * Merge EltwiseInputNormalization and EltwiseInputReshape transformations Signed-off-by: Roman Kazantsev <[email protected]> * Remove Unsqueeze from Fused_op Signed-off-by: Roman Kazantsev <[email protected]> * Fix code after code review #1 Signed-off-by: Roman Kazantsev <[email protected]> * Fix code after review #2 Signed-off-by: Roman Kazantsev <[email protected]> * Fix code review #4 Signed-off-by: Roman Kazantsev <[email protected]> * Perform full normalization based on shapes of all inputs to eltwise Signed-off-by: Roman Kazantsev <[email protected]> * Refactor much to avoid old API and edges with unsqueeze_dims attribute Signed-off-by: Roman Kazantsev <[email protected]> * Fix code after review Signed-off-by: Roman Kazantsev <[email protected]>
ilya-lavrenov
pushed a commit
that referenced
this pull request
Nov 18, 2020
Merge from original repository
ilya-lavrenov
pushed a commit
that referenced
this pull request
Jan 21, 2021
…notoolkit#3573) * [MO] Implement TensorFlow 2 While support in MO Signed-off-by: Roman Kazantsev <[email protected]> * Add extractors for both While and StatelessWhile and do minor changes Signed-off-by: Roman Kazantsev <[email protected]> * Improve update_body_graph function and manage graph names properly Signed-off-by: Roman Kazantsev <[email protected]> * Fix a map for original name of parameters from body and cond Signed-off-by: Roman Kazantsev <[email protected]> * Implement draft version of support of TF2 Keras RNN Signed-off-by: Roman Kazantsev <[email protected]> * Implement Keras LSTM and GRU support in MO Signed-off-by: Roman Kazantsev <[email protected]> * Improve code for Keras RNN support Signed-off-by: Roman Kazantsev <[email protected]> * Finalize implementation of TF2 Keras RNN support in MO Signed-off-by: Roman Kazantsev <[email protected]> * Apply the first part of the comments after review #1 Signed-off-by: Roman Kazantsev <[email protected]> * Avoid use of explicit values of port indices in the transformation Signed-off-by: Roman Kazantsev <[email protected]> * Finalize code after the first-round review Signed-off-by: Roman Kazantsev <[email protected]> * Apply comments after the second-round review Signed-off-by: Roman Kazantsev <[email protected]>
ilya-lavrenov
added a commit
that referenced
this pull request
Jun 25, 2021
* Moved cmake/templates to <root> * Removed ngraph versioning, reused IE one * Merged converage * Removed duplicatde ngraph cmake options * Moved dependencies to <root>/cmake * Removed installing of VERSION * Start #1 * cpack * Added component type * Added installation of tests targets * Added ngraph tests target install * Fixed runtime dependencies location * Disable GNA unit tests * Revert "Disable GNA unit tests" This reverts commit da53986. * Installed only core component * Replaced ENABLE_DEV_PKG_INSTALL with EXCLUDE_FROM_ALL * Removed extra cmake options
ilya-lavrenov
pushed a commit
that referenced
this pull request
Aug 6, 2021
* [FrontEnd]enable pdpd ops conversion part3 * Add adaptive pool2d op conversion (#1) * param support tensor (#2) * add missing sync_batch_norm * Update pow.cpp * deal empty axis (#5) * deal empty axis * apply review comments * fix code style * fix code style * change shape to i32 * fix code in shape * fix code style * fix paddle code style * remove redandent ops * fix maxAdativePool * fix expand_v2 * remove redandent code Co-authored-by: Mang Guo <[email protected]> Co-authored-by: Luo Cheng <[email protected]>
ilya-lavrenov
pushed a commit
that referenced
this pull request
May 21, 2023
…f POT (openvinotoolkit#17398) * Update model_optimization_guide.md * Update model_optimization_guide.md * Update model_optimization_guide.md * Update model_optimization_guide.md * Update model_optimization_guide.md * Update model_optimization_guide.md * Update model_optimization_guide.md * Update home.rst * Update ptq_introduction.md * Update Introduction.md * Update Introduction.md * Update Introduction.md * Update ptq_introduction.md * Update ptq_introduction.md * Update basic_quantization_flow.md * Update basic_quantization_flow.md * Update basic_quantization_flow.md * Update quantization_w_accuracy_control.md * Update quantization_w_accuracy_control.md * Update quantization_w_accuracy_control.md * Update quantization_w_accuracy_control.md * Update quantization_w_accuracy_control.md * Update quantization_w_accuracy_control.md * Update quantization_w_accuracy_control.md * Update quantization_w_accuracy_control.md * Update quantization_w_accuracy_control.md * Update basic_quantization_flow.md * Update basic_quantization_flow.md * Update quantization_w_accuracy_control.md * Update basic_quantization_flow.md * Update basic_quantization_flow.md * Update model_optimization_guide.md * Update ptq_introduction.md * Update quantization_w_accuracy_control.md * Update model_optimization_guide.md * Update quantization_w_accuracy_control.md * Update model_optimization_guide.md * Update quantization_w_accuracy_control.md * Update model_optimization_guide.md * Update Introduction.md * Update basic_quantization_flow.md * Update basic_quantization_flow.md * Update quantization_w_accuracy_control.md * Update ptq_introduction.md * Update Introduction.md * Update model_optimization_guide.md * Update basic_quantization_flow.md * Update quantization_w_accuracy_control.md * Update quantization_w_accuracy_control.md * Update quantization_w_accuracy_control.md * Update Introduction.md * Update FrequentlyAskedQuestions.md * Update model_optimization_guide.md * Update Introduction.md * Update model_optimization_guide.md * Update model_optimization_guide.md * Update model_optimization_guide.md * Update model_optimization_guide.md * Update model_optimization_guide.md * Update ptq_introduction.md * Update ptq_introduction.md * added code snippet (#1) * Update basic_quantization_flow.md * Update basic_quantization_flow.md * Update quantization_w_accuracy_control.md * Update basic_quantization_flow.md * Update basic_quantization_flow.md * Update ptq_introduction.md * Update model_optimization_guide.md * Update basic_quantization_flow.md * Update ptq_introduction.md * Update quantization_w_accuracy_control.md * Update basic_quantization_flow.md * Update basic_quantization_flow.md * Update basic_quantization_flow.md * Update ptq_introduction.md * Update ptq_introduction.md * Delete ptq_introduction.md * Update FrequentlyAskedQuestions.md * Update Introduction.md * Update quantization_w_accuracy_control.md * Update introduction.md * Update basic_quantization_flow.md code blocks * Update quantization_w_accuracy_control.md code snippets * Update docs/optimization_guide/nncf/ptq/code/ptq_torch.py Co-authored-by: Alexander Suslov <[email protected]> * Update model_optimization_guide.md * Optimization docs proofreading (#2) * images updated * delete reminder * review * text review * change images to original ones * Update filter_pruning.md code blocks * Update basic_quantization_flow.md * Update quantization_w_accuracy_control.md * Update images (#3) * images updated * delete reminder * review * text review * change images to original ones * Update filter_pruning.md code blocks * update images * resolve conflicts * resolve conflicts * change images to original ones * resolve conflicts * update images * fix conflicts * Update model_optimization_guide.md * Update docs/optimization_guide/nncf/ptq/code/ptq_tensorflow.py Co-authored-by: Alexander Suslov <[email protected]> * Update docs/optimization_guide/nncf/ptq/code/ptq_torch.py Co-authored-by: Alexander Suslov <[email protected]> * Update docs/optimization_guide/nncf/ptq/code/ptq_onnx.py Co-authored-by: Alexander Suslov <[email protected]> * Update docs/optimization_guide/nncf/ptq/code/ptq_aa_openvino.py Co-authored-by: Alexander Suslov <[email protected]> * Update docs/optimization_guide/nncf/ptq/code/ptq_openvino.py Co-authored-by: Alexander Suslov <[email protected]> * table format fix * Update headers * Update qat.md code blocks --------- Co-authored-by: Alexander Suslov <[email protected]> Co-authored-by: Tatiana Savina <[email protected]>
ilya-lavrenov
pushed a commit
that referenced
this pull request
May 22, 2023
…f POT (openvinotoolkit#17398) (openvinotoolkit#17633) * Update model_optimization_guide.md * Update model_optimization_guide.md * Update model_optimization_guide.md * Update model_optimization_guide.md * Update model_optimization_guide.md * Update model_optimization_guide.md * Update model_optimization_guide.md * Update home.rst * Update ptq_introduction.md * Update Introduction.md * Update Introduction.md * Update Introduction.md * Update ptq_introduction.md * Update ptq_introduction.md * Update basic_quantization_flow.md * Update basic_quantization_flow.md * Update basic_quantization_flow.md * Update quantization_w_accuracy_control.md * Update quantization_w_accuracy_control.md * Update quantization_w_accuracy_control.md * Update quantization_w_accuracy_control.md * Update quantization_w_accuracy_control.md * Update quantization_w_accuracy_control.md * Update quantization_w_accuracy_control.md * Update quantization_w_accuracy_control.md * Update quantization_w_accuracy_control.md * Update basic_quantization_flow.md * Update basic_quantization_flow.md * Update quantization_w_accuracy_control.md * Update basic_quantization_flow.md * Update basic_quantization_flow.md * Update model_optimization_guide.md * Update ptq_introduction.md * Update quantization_w_accuracy_control.md * Update model_optimization_guide.md * Update quantization_w_accuracy_control.md * Update model_optimization_guide.md * Update quantization_w_accuracy_control.md * Update model_optimization_guide.md * Update Introduction.md * Update basic_quantization_flow.md * Update basic_quantization_flow.md * Update quantization_w_accuracy_control.md * Update ptq_introduction.md * Update Introduction.md * Update model_optimization_guide.md * Update basic_quantization_flow.md * Update quantization_w_accuracy_control.md * Update quantization_w_accuracy_control.md * Update quantization_w_accuracy_control.md * Update Introduction.md * Update FrequentlyAskedQuestions.md * Update model_optimization_guide.md * Update Introduction.md * Update model_optimization_guide.md * Update model_optimization_guide.md * Update model_optimization_guide.md * Update model_optimization_guide.md * Update model_optimization_guide.md * Update ptq_introduction.md * Update ptq_introduction.md * added code snippet (#1) * Update basic_quantization_flow.md * Update basic_quantization_flow.md * Update quantization_w_accuracy_control.md * Update basic_quantization_flow.md * Update basic_quantization_flow.md * Update ptq_introduction.md * Update model_optimization_guide.md * Update basic_quantization_flow.md * Update ptq_introduction.md * Update quantization_w_accuracy_control.md * Update basic_quantization_flow.md * Update basic_quantization_flow.md * Update basic_quantization_flow.md * Update ptq_introduction.md * Update ptq_introduction.md * Delete ptq_introduction.md * Update FrequentlyAskedQuestions.md * Update Introduction.md * Update quantization_w_accuracy_control.md * Update introduction.md * Update basic_quantization_flow.md code blocks * Update quantization_w_accuracy_control.md code snippets * Update docs/optimization_guide/nncf/ptq/code/ptq_torch.py * Update model_optimization_guide.md * Optimization docs proofreading (#2) * images updated * delete reminder * review * text review * change images to original ones * Update filter_pruning.md code blocks * Update basic_quantization_flow.md * Update quantization_w_accuracy_control.md * Update images (#3) * images updated * delete reminder * review * text review * change images to original ones * Update filter_pruning.md code blocks * update images * resolve conflicts * resolve conflicts * change images to original ones * resolve conflicts * update images * fix conflicts * Update model_optimization_guide.md * Update docs/optimization_guide/nncf/ptq/code/ptq_tensorflow.py * Update docs/optimization_guide/nncf/ptq/code/ptq_torch.py * Update docs/optimization_guide/nncf/ptq/code/ptq_onnx.py * Update docs/optimization_guide/nncf/ptq/code/ptq_aa_openvino.py * Update docs/optimization_guide/nncf/ptq/code/ptq_openvino.py * table format fix * Update headers * Update qat.md code blocks --------- Co-authored-by: Maksim Proshin <[email protected]> Co-authored-by: Alexander Suslov <[email protected]>
ilya-lavrenov
pushed a commit
that referenced
this pull request
Jan 8, 2024
* Remove `set_preprocess.cpp` * Remove `preprocessing.hpp` * Remove `locale.hpp` - ported to `CanCompileModelWithCustomLocale` * Port `version.cpp` and remove legacy * Revert shared `version.hpp`
ilya-lavrenov
pushed a commit
that referenced
this pull request
Jan 8, 2024
* Delete `ngraph/visibility.hpp` * Delete `ngraph/log.hpp` * Delete `ngraph/file_util.hpp` * Delete `ngraph/type.hpp` * Delete `ngraph/dimension.hpp` * Delete `ngraph/coordinate.hpp` * ClangFormat * Fix build * Fix pyngraph * Remove comment * Fix build
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
Add this suggestion to a batch that can be applied as a single commit.
This suggestion is invalid because no changes were made to the code.
Suggestions cannot be applied while the pull request is closed.
Suggestions cannot be applied while viewing a subset of changes.
Only one suggestion per line can be applied in a batch.
Add this suggestion to a batch that can be applied as a single commit.
Applying suggestions on deleted lines is not supported.
You must change the existing code in this line in order to create a valid suggestion.
Outdated suggestions cannot be applied.
This suggestion has been applied or marked resolved.
Suggestions cannot be applied from pending reviews.
Suggestions cannot be applied on multi-line comments.
Suggestions cannot be applied while the pull request is queued to merge.
Suggestion cannot be applied right now. Please check back later.
No description provided.