* error code check in CudaMemoryManager
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* clear
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* clear model before exiting
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* MultiLayerNetwork/ComputationGraph.close() [WIP] (#460)
* MultiLayerNetwork/ComputationGraph.close()
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* Copyright header
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* Fix
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* - fix for handling release of nested DataBuffers
- couple of additional tests for released DataBuffers
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* PW test: increase number of epochs slightly
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Co-authored-by: Alex Black <blacka101@gmail.com>
* - numPrefixBlocks fix for threshold_encoding
- temparrays pointers fixed
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* auto configuration of memory workspace for gradients sharing
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* limit sparse encoding message size
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* one more workspace test
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* one more CUDA-specific test
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* one more CUDA-specific workspace test
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* one more CUDA-specific workspace test
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* one more CUDA-specific workspace test
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* add separate host/device reset for circular workspace mode
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* new PW builder method for encoder memory amount
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* "inplace" execution for threshold encoding
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* Update docs links to new website URLs
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* One more link
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* Fix missing dtypes when creating DataBuffer from ByteBuffer
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* Revert LongIndexer -> ULongIndexer; fixes for UIntIndexer
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* CUDA fix
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* #8901 Avoid unnecessary warning in SameDiffLoss
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* Improved error messages for conv2d layers - NCHW vs. NHWC
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* custom listener test
* abst session
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* Partial fix
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* Fix for execution termination condition
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* Small error mesage improvement
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Co-authored-by: eraly <susan.eraly@gmail.com>
* Refactor nd4j-common: org.nd4j.* -> org.nd4j.common.*
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* Fix CUDA (missed nd4j-common package refactoring changes)
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* nd4j-kryo: org.nd4j -> org.nd4j.kryo
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* Fix nd4j-common for deeplearning4j-cuda
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* nd4j-grppc-client: org.nd4j.graph -> org.nd4j.remote.grpc
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* deeplearning4j-common: org.deeplearning4.* -> org.deeplearning4j.common.*
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* deeplearning4j-core: org.deeplearning4j.* -> org.deeplearning.core.*
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* deeplearning4j-cuda: org.deeplearning4j.nn.layers.* -> org.deeplearning4j.cuda.*
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* Import fixes
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* deeplearning4j-nlp-*: org.deeplearning4.text.* -> org.deeplearning4j.nlp.(language).*
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* deeplearning4j-ui-model: org.deeplearning4j.ui -> org.deeplearning4j.ui.model
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* datavec-spark-inference-{server/model/client}: org.datavec.spark.transform -> org.datavec.spark.inference.{server/model/client}
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* datavec-jdbc: org.datavec.api -> org.datavec.jdbc
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* Delete org.deeplearning4j.datasets.iterator.impl.MultiDataSetIteratorAdapter in favor of (essentially identical) org.nd4j.linalg.dataset.adapter.MultiDataSetIteratorAdapter
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* ND4S fixes
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* Fixes
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* nd4j-common-tests: org.nd4j.* -> org.nd4j.common.tests
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* Trigger CI
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* Fixes
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* #8878 Ignore CUDA tests on modules with 'nd4j-native under cuda' issue
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* Fix bad imports in tests
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* Add ignore on test (already failing) due to #8882
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* Import fixes
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* Additional import fixes
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* #8879 'All ops in namespace' scanner first steps
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* Clean up and polish op mapping check utility
Signed-off-by: Alex Black <blacka101@gmail.com>
* MKLDNNConvHelper: don't permute; pass in weight format arg
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* Fix flaky tests unrelated to main branch change
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* Don't log every extracted file for LFW and other auto-downloaded image loaders using BaseImageLoader.downloadAndUntar
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* MergeMaxIndex, ReverseBp, Tri, Triu and TriuBp added
Signed-off-by: Andrii Tuzhykov <andrewtuzhykov@gmail.com>
* Upsamling3d draft
Signed-off-by: Andrii Tuzhykov <andrewtuzhykov@gmail.com>
* minor fix (upsampling3dBp inputDatatype.size=2)
Signed-off-by: Andrii Tuzhykov <andrewtuzhykov@gmail.com>
* polished testcases
Signed-off-by: Andrii Tuzhykov <andrewtuzhykov@gmail.com>
* matching of Upsampling3d input format according to cpp iArg
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* ops generated from codegen
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* requested changes
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* added super() for Triu
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* everything passes except TriuOp
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* Tri op dtype arg (output datatype config support) + default float32
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* Small fixes
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* temporary commit with manually edited sd/nd ops
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* Cannot use 'val' here because initializer expression does not have a representable type: Type cannot be resolved
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* all tests passed
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* few requested changes
Signed-off-by: Andrii Tuzhykov <andrewtuzhykov@gmail.com>
* Small fixes
Signed-off-by: Alex Black <blacka101@gmail.com>
* Ignore reverse_bp test due to logged issue
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* Fix reverse op
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* Fix MergeMaxIndex dtype -> iarg
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Co-authored-by: Alex Black <blacka101@gmail.com>
* GRU and GRUBp ops added and tested
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* minor polishing
Signed-off-by: Andrii Tuzhykov <andrewtuzhykov@gmail.com>
* few requested changes
Signed-off-by: Andrii Tuzhykov <andrewtuzhykov@gmail.com>
* regenerated namespace + small fix in RnnOpValidation
Signed-off-by: Andrii Tuzhykov <andrewtuzhykov@gmail.com>
* Fix bad character in RnnOpValidation
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Co-authored-by: Alex Black <blacka101@gmail.com>
* Allow to destroy workspaces on demand
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* MMAP'd workspace can't have LearningPolicy
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* throw an exception on CUDA
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* #8861 Training evaluation on variables not required for loss fix
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* Dependency version updates flagged by dependabot
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* Increase default test timeout to 60 sec due to slow PPC CI machines
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* Fix flaky NLP test (randomly fails due to no RNG seed set)
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* Fixing issues from Sonar report
* Proper logger of exceptions
* Coding style fixes
* Use dup parameter
* Cleanup, minor issues
* Cuda compilation fixed and some minor fixes
* Remove old nd4j-jackson dependencies
Signed-off-by: Alex Black <blacka101@gmail.com>
* Fix use of old/deprecated JSON serializer
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* Fix deserialization
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* Delete test using deleted ser/de classes
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* Delete another copy of old test
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* wip
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* up to assign operation.
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* fix Imax, IMin.
Signed-off-by: Robert Altena <Rob@Ra-ai.com>
* concat.
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* dynamicPartition
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* new ops up to gte.
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* wip
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* updated review items.
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* up to matchCondition.
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* wip
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* up to OneHot.
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* wip. up to permute.
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* wip. up to rank.
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* wip. up to scatterMul.
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* resolving code review issues.
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* wip. inclides UnsortedSegment ops.
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* wip. up to stridedSlice.
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* fix stridedSlice.
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* first pass of SDBaseops.kt complete.
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* fix review items.
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* wip
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* put branch in compilable state.
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* add NDBaseTest. fix dynamicPartition signature. failed fix of assign.
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* make tests public.
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* adds tests up to invertedPermutation.
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* fix ScalarEquals, Assign.
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* wip
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* updates NDBaseTest.
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* updates 'check' comments based on test pass/fail.
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* fix scalar ops. Update tests,
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* dev-tools review items. wip.
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* dev-tools code review items.
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* Test fixes
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* complete review items.
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* Comment for logged issue; fix test case
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* Fixes
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* More fixes
* wip
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* undo changes to Nd4jCpu.java
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* update tests.
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* Fixes and regenerate
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* Small test fixes
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* small fixes to tests.
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* Cleanup
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* Fixes
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* Small CUDAExecutioner fix
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* Fixes
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* Small CudaExecutioner fix
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* Another small CudaExecutioner fix
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* Another small CudaExecutioner fix
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Co-authored-by: Robert Altena <Rob@Ra-ai.com>
* Input format extended
* Deleted redundant code
* Added weights format to conv2d config
* Refactoring
* dl4j base test functionality
* Different tests base class per module
* Check base class for dl4j-graph subproject tests
* Check if test classes extend BaseDL4JTest
* Use nd4j-common-tests as transient dependency
* Enums and tests added
* Added codegenerated methods
* Use namespace methods
* Replace DifferentialFunctionFactory with codegenerated classes
* Fixed linspace
* Namespaces regenerated
* Namespaces used instead of factory
* Regenerated base classes
* Input format extended
* Added weights format to conv2d config
* Refactoring
* dl4j base test functionality
* Different tests base class per module
* Check base class for dl4j-graph subproject tests
* Check if test classes extend BaseDL4JTest
* Use nd4j-common-tests as transient dependency
* Enums and tests added
* Added codegenerated methods
* Use namespace methods
* Replace DifferentialFunctionFactory with codegenerated classes
* Fixed linspace
* Namespaces regenerated
* Regenerated base classes
* Regenerated namespaces
* Generate nd4j namespaces
* INDArrays accepting constructors
* Generated some ops
* Some fixes
* SameDiff ops regenerated
* Regenerated nd4j ops
* externalErrors moved
* Compilation fixes
* SquaredDifference - strict number of args
* Deprecated code cleanup. Proper base class for tests.
* Extend test classes with BaseND4JTest
* Extend test classes with BaseDL4JTest
* Legacy code
* DL4J cleanup
* Exclude test utils from base class check
* Tests fixed
* Arbiter tests fix
* Test dependency scope fix + pom.xml formatting
Signed-off-by: Alex Black <blacka101@gmail.com>
* Significant number of fixes
Signed-off-by: Alex Black <blacka101@gmail.com>
* Another round of fixes
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* Another round of fixes
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* Few additional fixes
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* DataVec missing test scope dependencies
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Co-authored-by: Alex Black <blacka101@gmail.com>
* - 1D indexing fix
- couple of new tests for 1D indexing
Signed-off-by: raver119 <raver119@gmail.com>
* percentile fix + test
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* wrong signature used in test
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* libnd4j added optional alpha and beta support to matmul
Signed-off-by: Oleg <oleg.semeniv@gmail.com>
* libnd4j typos fixes
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* libnd4j add optional alpha and beta to matmul_bp
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* libnd4j one more typo fix
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* libnd4j added optional alpha and beta to mkl implementation
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* MatMul alpha/beta on java side
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* alpha/beta fix in libnd4j
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* alpha/beta fix in matmul_bp
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* restored view validation
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* gemv/gemm now use MatMul op
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* few tests fixed
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* additional INDArray.mmul signature
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* make C order default for INDArray.mmul, unless both A/B have F order
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* Nd4j.gemm validation fix
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* disable mkldnn matmul for xxf with beta != 0 case
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* SimpleRnn workspace fix + timeouts
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* two more tests + minor fix in matmul platform check
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* Flaky test fixes
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* propagate testresources profile
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* Resources fix + flaky test fix
Signed-off-by: Alex Black <blacka101@gmail.com>
Co-authored-by: Oleg <oleg.semeniv@gmail.com>
Co-authored-by: Alex Black <blacka101@gmail.com>