Bump tox from 3.20.1 to 3.21.1 in /ngraph/python #6
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* resolve clash of tests compile pdb file names * Solving problem using different way * resolve duplicate flags for gtest
* Added ie_docs dependency on ngraph_cpp_api because of tag files * Fixed tags files for Plugin API
* ROIPooling: Specification and op class alignment * ROIPooling: Add check to input tensor type to be aligned with spec * ROIPooling: Corrected spec description for input tensor shape and box coordinates * ROIPooling: Changed attributes pooled_h and pooled_w from Shape to plain int * Revert "ROIPooling: Changed attributes pooled_h and pooled_w from Shape to plain int" This reverts commit d49cfa8. * ROIPooling: Further specification changes * ROIPooling: Rename enum class ROIPoolingMethod methods * Fix style * ROIPooling: Draft reference implementation * ROIPooling: Adjust feature map element type to float for attribute unit test * ROIPooling: Add single layer test class * ROIPooling: Corrected output index to iterate through output tensor elements * ROIPooling: Added validation checks for input types in op constructor * ROIPooling: Add unit tests * ROIPooling: Attributes unit test changed to align with spec * ROIPooling: Add check for batch id in reference implementation and unit test * ROIPooling: Refactor single layer test class * ROIPooling: Add test for invalid pooling method * ROIPooling: Clean up unnecessary function declaration * ROIPooling: Remove duplicated default ROIPooling method in op constructors * ROIPooling: Add Infer method to generate suitable ROI data * ROIPooling: CPU single layer test instantiation for max method * ROIPooling: Remove enum class ROIPoolingMethod * Revert "ROIPooling: Clean up unnecessary function declaration" This reverts commit 074b540. * ROIPooling: Refactor single layer tests after removing enum class ROIPoolingMethod * ROIPooling: Add attribute checks in op constructor to align with spec and unit tests * Resolve CI failure: clang could not resolve static conversion from uint64_t to size_t * ROIPooling: Fix for output index calculation to loop through all ROIs * ROIPooling: Add unit test for bilinear interpolation method * ROIPooling: Add CPU single layer test instantiation for bilinear method * ROIPooling: Clean up unnecessary enum class for pooling method * ROIPooling: Add myriad single layer test instantiation * ROIPooling: Add F16 precision single layer tests for CPU plugin * ROIPooling: Add node validation check for string method attribute in constructor and unit tests * ROIPooling: Spec changes to improve understanding of the operation * ROIPooling: Fix for bilinear method when pooled size is 1x1 * ROIPooling: Add unit test for bilinear method and pooled size 1x1 * ROIPooling: Fix to broken format of specifications * ROIPooling: Disable Myriad single layer tests * ROIPooling: Handle dynamic dims and ranks for input tensors and unit tests * ROIPooling: Code clean up * ROIPooling: Address review comments * ROIPooling: Changed location for makeROIPooling helper method Co-authored-by: Kirill Molchanov <[email protected]>
Co-authored-by: apankratovantonp <[email protected]> Co-authored-by: Alexander Zhogov <[email protected]>
* [MO] Add CMake install for Model Optimizer * [MO] Update test for version.py * [MO] Add CMake install for Model Optimizer * [MO] Update test for version.py * [MO] Add CMake install for Model Optimizer * [MO] Update test for version.py * Add CMake install rules for OpenVINO 3rd party dependencies Remove unwanted targets from final distribution (test, static libs, etc) * remove duplicated targets from install align GNA Windows install path with Linux * Add COMPONENT install name for OMP remove empty lines * Add OMP to CPack components * remove gtest from deliverables add explicitly clDNN_unit_tests target to build * set clDNN_unit_tests properties only by condition * remove install commands for clDNN Co-authored-by: Alexander Zhogov <[email protected]>
* Updated transformations docs * Added RTTI to examples * Fixed grammar mistakes * Mention Sinks in NG docs
* Azure: Add contrib build * Fix checkout
…ing) (openvinotoolkit#3286) * Optimized Infer Request Scheduling * Fixed misprint * Brushing the code and comments a bit * further brushing of the ScheduleToWorkerRequest: moving the task execution directly into the loop over devices (avoids pointers and 'else' clause) * 1) zero-copy (assuming determenistic app-level scheduling) for the multi-device, via "borrowing" the corresponding device-specific blobs and letting the app to implicitly use these 2) Initial MULTI section in the opt guide (primarily to document a tip on helping the MULTI to keep the zero-copy path) Co-authored-by: apankratovantonp <[email protected]>
Introduce vpu ngraph transformation that decomposes Mish layer with the following formula: mish(x) = x * tanh(ln(exp(x) + 1)). It is needed to fix the accuracy drop of Yolo-v4 public model that happened due to Mish implementation in the myriad plugin is not accurate enough. It is just a workaround and will be removed when Mish layer will be improved. map: 70.97% (ref: 70.96%) coco_precision: 73.50% (ref 73.49%)
…peration. The output exists always but it may be not connected to anywhere. (openvinotoolkit#3423)
…ove unused code) (openvinotoolkit#3410) * Remove unnecessary code from the reshape operator shape deduction * Add new tests to cover cornercases after documentation update * Fix typo in test name * Fix codestyle issues * Fix tests naming
* Fixed documentation build when paths contain spaces * ops math formula fix * Fixed typo in * Added more dependencies for openvino_docs * Improvements Co-authored-by: Nikolay Tyukaev <[email protected]>
* Restore compilaltion with tbb 2017u7 Signed-off-by: Alexander Peskov <[email protected]> * Fix unsupported arg for tbb deterministic_reduce Signed-off-by: Alexander Peskov <[email protected]> Co-authored-by: Alexander Zhogov <[email protected]>
* Comment layer creator and node converter for Elu and Clamp ops. * Add deserialization for GRN, HardSigmoid, GatherTree. * Add implementation for Interp, GRN, GatherTree. * Remove layer creation from ie_ir_parser.cpp * Remove header files from cnn builder. * Change op's type in elu functional test, remove name transformtion for this op from ir_parser. * Remove empty lines.
* initial commit * add cast * data type fix * added tests * added test without axes and steps * remove redundant imports * discussions resolving * Add cast to TFSliceToSlice * layer tests fix * update unittest * rework transformation * added clamp * move broadcast * update unittests * failed e2e fix * added comment * little fixes * comments update
…ions (openvinotoolkit#2897) * faster implementation of gather_nd operator for reference implementations * remove old impl and time measurements * exclude test for gather_nd for IE_CPU (output mismatch) * apply review comments and rename variables for clarify * rename variables according to PR comments * try to apply all PR suggestions * fix indices calcualtions Co-authored-by: Patryk Elszkowski <[email protected]>
* [MO] Aligned MatMul-1 with spec * removed link to the doc
…R to avoid converting them to FP16 precision (openvinotoolkit#3407)
* [GNA] Flatten trivial concatenations * [GNA] move test to subgraph tests * Style * style * review * fix * fixes
* Add support for onnx FasterRCNN model * Add documentation
…sts, remove unused code) (openvinotoolkit#3410)" (openvinotoolkit#3430) This reverts commit cb03a5e.
* [MO] Add CMake install for Model Optimizer * [MO] Update test for version.py * [MO] Add CMake install for Model Optimizer * [MO] Update test for version.py * [MO] Add CMake install for Model Optimizer * [MO] Update test for version.py * export TBB_DIR in setupvars
We have models with inputs with no initializer and not connected to any other node.
* [MO] Add CMake install for Model Optimizer * [MO] Update test for version.py * [MO] Add CMake install for Model Optimizer * [MO] Update test for version.py * [MO] Add CMake install for Model Optimizer * [MO] Update test for version.py * [MO] fix file permissions for install location * enable make install for OMZ * Add option description * remove OMZ fetching & install
This change fixes the error Input blob size is not equal network input size (1!=0) seen when passing a scalar input to a model in the case of VPU plugins.
…t#3670) * Added addition parameters for StridedSlice * Firmware updated 1570 -> 1574
…t#2879) * Fixed multiple linker warnings on Win32 * Fixed linkage on Windows * Fixed compilation for Win32 * Last fix
…ported TF operations (openvinotoolkit#3829)
Removed Mish decomposition because new Mish kernel implemented
…kit#3715) * [IE][nGraph]: Enables begin/end iterators for PartialShape It's convenient to be able to use STL algorithms on PartialShape since semantically PartialShape is a sequence of Dimensions. * [IE][VPU][nGraph]: Introduces tree utilities Introduces Depth-First-Search and Breadth-First-Search utilities for tree traversal. Templated arguments makes them extensible for different use-case scenarios. BFS is designed in way to make it possible to guarantee node will be visited only after all its predecessors have been visited: a / \ b c | | d | \ / e There with accordingly provided functors (NumEntries) it's guaranteed node "e" will be visited after "d" and "c". Such a property is important for nodes depth evaluation. * [IE][VPU][nGraph]: Fixes printTo for nGraph type For some reason if printTo for nGraph type is usual function it's not picked up by VPU_THROW_UNLESS triggered inside DynamicToStaticShape transformations. Making it template specialization does the job. * [IE][VPU]: Introduces SliceConfiguration class SliceConfiguration is a class that's intended to express the result of operation slicing by batch. The result of slicing is configuration that specifies what to do with each data object associated with operation. There are two options defined: Slice and Unchanged. Typical slice scenario is Slice, when operation has the same batch for all inputs and outputs, so all corresponding data object will be "sliced" (replaced with copy where batch equal to 1). At some cases, data object should not sliced (ex. if operation has constant input which is the same for all input data batches and so, does not have batch - Add of 2 tensors with shapes [10, 1000] and [1000]). To represent such cases there is option "Unchanged". At cases when operation should not be sliced at all (ex. does not have batch, have different batch for inputs and outputs, has static batch and so on) SliceConfiguration object will return false for "hasSlice" method call. In these cases inputs and outputs methods calls will throw an exception. * [IE][VPU][nGraph]: Enables MatMul operation slice In case of static batch, operation is not going to be sliced, since for handling such cases other transformation is used. Such approach allows both passes to co-exist while one is being replaced with another. If data input has other dynamic dimension than batch error will be thrown since Myriad-X plugin does not support convolutions (HW accelerated operations) with dynamism in spatial dimensions. * [IE][VPU][nGraph]: Enables Convolution operations slice In case of static batch, operation is not going to be sliced, since for handling such cases other transformation is used. Such approach allows both passes to co-exist while one is being replaced with another. If data input has other dynamic dimension than batch error will be thrown since Myriad-X plugin does not support convolutions (HW accelerated operations) with dynamism in spatial dimensions. * [IE][VPU][nGraph]: Enables unary eltwise slice Since extract dynamic batch transformation will handle dynamism only by batch (so requires body loop to be static) operations with dynamism in dimension other than batch should not be covered by loop. In case of dynamism in dimension other than batch eltwise will be considered unsupported for sub-graph extraction. * [IE][VPU][nGraph]: Enables binary eltwise slice Since extract dynamic batch transformation will handle dynamism only by batch (so requires body loop to be static) operations with dynamism in dimension other than batch should not be covered by loop. In case of dynamism in dimension other than batch eltwise will be considered unsupported for sub-graph extraction. It's template function since different binary eltwise operations have the same broadcasting rules. * [IE][VPU][nGraph]: Enables extract dynamic batch transformation General approach is following: 1. Extracted sub-graphs should have exactly one input and output operation. Otherwise, it's possible that memory consumption of model will be increased since loops implementation on Myriad-X requires to keep all inputs and outputs of loop to be alive along with memory used by loop body. In layout consolidation scenario it reflects intention to use minimized amount of permutations. 2. Extracted sub-graph should not have external connections ( the only nodes that allowed to have predecessor or successor outside of sub-graph are input and output). Otherwise, it's possible that memory consumption of model will be increased for the same reason as in previous point. To make sure this restriction is met transformation looks for leaves in both directions, finds corresponding LCA (Lowest Common Ancestor) and checks if such sub-graph has external connections. If so, it repeats leaves search procedure stopping if it approaches leaves from previous iteration and finds LCA again. It is repeated until sub-graph without external connections is found (it exists, at least source itself forms it). Leaf in current context is a node which satisfies one of the following conditions (depending on direction): Top: 1. It has no predecessors which are neither Parameter, nor Constant 2. It's unknown how to slice this operation 3. It could not be sliced (different batch for inputs and outputs) Bottom: 1. It has no successors which are not Result 2. It's unknown how to slice this operation 3. It could not be sliced (different batch for inputs and outputs) Signed-off-by: Gladilov, Gleb <[email protected]>
…hannel (openvinotoolkit#3481) Fix of concat scale factors calculation causing infinite loop during memory layer requantization Fix of copy layer unsupported batch size
It will allow to turn on IE logging from CMD line without extra configuration file. Might be usefull for debugging.
* Supported opsets check improvement * Optimization of V10 nodes creation in nGraph * Redundant type checking in opset removed * opset2 existance check added
* Update the spec * add unit-tests * add avgPool unit-tests to CMakelist * Remove second constructor and change the first one to take default values for rounding_type and pad_type * add type_prop test for default values * add 5d input single layer test instances * add type_prop tests * Require input to be 4D or 5D * add validation check for pads size * Update few tests to take 5D input instead of 6D * Update validate_and_infer_types method * Update infer_batched_pooling_forward and try_apply_auto_padding methods * Update auto_padding_spatial_dims_dynamic type_prop test for binary_conv, conv, deformable_conv, group_conv and max_pool * style-apply * add validation check for kernel size * add xfail for avgpool python backend test * style-apply * remove avgpool backend test from xfail list * Update spec * Allow the 3D input * Update type_prop test with 3D input * style-apply * Remove xfail_issue_38709 * fix typo * Update spec * Update outputs section in spec * Update spec * fix typo * clean file * Update detailed description and fix xml examples * fix exclude-type typo * fix typo in outputs section
Bumps [tox](https://github.com/tox-dev/tox) from 3.20.1 to 3.21.1. - [Release notes](https://github.com/tox-dev/tox/releases) - [Changelog](https://github.com/tox-dev/tox/blob/master/docs/changelog.rst) - [Commits](tox-dev/tox@3.20.1...3.21.1) Signed-off-by: dependabot[bot] <[email protected]>
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* DPC++ link error workaround. OpenVINO C++ program failed to link when DPC++ compiler is used. 'make_shared_blob' causes 'unresolved external symbol' error on linking. Commented out some __clang__ specific directives to workaround the issue in "ie_blob.h". * DPC++ compatibility issue fix #2 1. Removed type-by-type template class definition for __clang__. 2. Modified TBlob() destructor. The 'unresolved reference' error occur again if I left 'virtual ~TBlob();' only. It seems it needs to be 'virtual ~TBlob() {};'. * DPC++ compatibility fix #3 - Add DPC++ conditional code Uses '__SYCL_COMPILER_VERSION' predefined macro to check if the compiler is a DPC++ or not. Added conditional directive to switch code based of the detected compiler. NOTE: User program must include <CL/sycl.hpp>, or the '__SYCL_COMPILER_VERSION' macro won't be defined and this fix won't take effect. * DPC++ compatibility issue fix #4 Changed from #ifdef to #if + logical formulas. * DPC++ compatibility issue fix #5 Added compiler check logic in src/ie_rtti.cpp * DPC++ Compatibility issue #6 - ie_parameter.cpp Added compiler check macro for DPC++ to ie_parameter.cpp as well. Co-authored-by: Yasunori Shimura <[email protected]>
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Bumps tox from 3.20.1 to 3.21.1.
Changelog
Sourced from tox's changelog.
... (truncated)
Commits
ffac605release 3.21.14b44584config: Prevent .tox in envlistff4bd47config: Revert removal of {packages}/{opts} hackc1c1c5btest_config: Add test for indirect install_command3914667Allow building with setuptools_scm 4 and 57f13cf6config: Fix parsing posargs default with colonad6ca10Merge pull request #1775 from tox-dev/release-3.21.02cc64c1release 3.21.049edaedAdd instructions for choosing pip version (#1771)91e180dFix CI (#1774)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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