Bump wheel from 0.34.2 to 0.35.1 in /ngraph/python #1
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Bumps [wheel](https://github.com/pypa/wheel) from 0.34.2 to 0.35.1. - [Release notes](https://github.com/pypa/wheel/releases) - [Changelog](https://github.com/pypa/wheel/blob/master/docs/news.rst) - [Commits](pypa/wheel@0.34.2...0.35.1) Signed-off-by: dependabot[bot] <[email protected]>
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…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
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* 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
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* [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]>
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Nov 16, 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.
vgavrilo
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Nov 16, 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]>
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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]>
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Looks like wheel is up-to-date now, so this is no longer needed. |
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Jan 22, 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]>
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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
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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]>
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Bumps wheel from 0.34.2 to 0.35.1.
Changelog
Sourced from wheel's changelog.
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bbc6082Created a new releasebb4c083Fixed duplicate runs in the codeqa-test workflow656e484Vendored the packaging.tags module (#365)0b4ee25Fixed bdist_wheel not lower casing the platform tag (#366)4253bbbCreated a new releaseb6786faFixed test matrix config for PyPy26c914feUpdated the release notes3b260abFixed PyPy2 ABI tag generation69fc34cAdded PyPy2 to the test matrixa668885The PyPA has adopted the PSF code of conduct (#361)Dependabot will resolve any conflicts with this PR as long as you don't alter it yourself. You can also trigger a rebase manually by commenting
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