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* correct logsoftmax looss (#2) * Small SameDiff listener fix (#4) * Various fixes (#6) * #7839 Fix for asXMatrix and tests * #7866 EmbeddingSequenceLayer dtype fix + test * #7856 SameDiff save/load stream methods * #7859 RegressionEvaluation rank 4 fix + tests + axis configuration * EvaluationBinary 3d/4d * More evaluation 3d/4d tests * #7847 Evaluation empty checks * Small test ifx * #7848 Fix median edge case * Improve DL4J samediff layer tests * [WIP] FastText wrapper implemented (#8) * FastText implemented * Some fixes * Fix shapes for wordsNearest * Validation of input vectors * Fixes * Fixed test * Thread tagged * Some tweaks * setContextClassLoader for DeallocatorServiceThread * Numpy format tests (#1) * Various fixes (#11) * #7852 SameDiff gather fix * #7892 SameDiff placeholder to constant conversion * #7890 validate input rank for MLN/CG init methods * Fix broken permute shape calculation * Permute and gather fixes * Tests * #7850 LogSumExp fix + test * Handful of test fixes * Empty arrays with non-scalar shapes (#10) * minor rearrangements for lambdas * empty tensors with non-scalar shapes * numpy empty tensors with non-scalar shapes * few more empty tweaks * Small fixes * conv3d signature update * micro fix in batchnorm mkldnn * Import fixes * Fix * MKL-DNN update * Small fill fix * fill with empty input + test * Fixes * Small error improvement * Fix * one special test * couple of fixes for lstm * Rewrite TFGraphMapper.getNDArrayFromTensor to be maintainable and less error prone * Fixes * FP16 * Unsigned * BFloat16 * Fill op - empty tweaks * - couple of fixes for empty arrays construction - stack updated * strided slice fix * one transform test * provide method for reducing shapeInfo in case of input array is empty * Fixed reduceAlongDimensions to use empty input properly. * couple of broadcast tests * couple of tests broadcast tests + tweak to make them pass * add check of non-empty to methods producing sub-arrays * Fixed reshapeC with zeros in shape. * complete empty check in reduce_... legacy ops * Concat and cumsum/prod * Tweak to empty shape inference on import * add empty check to the rest of reduce legacy ops * one more test * correct typo in evalReduceShapeInfoEmpty * Added tests for reduce_* ops to tests with zero shapes. * few more tests for empty reductions * Fixed strided_slice op with empty case and tests. * one more empty reduction test * Fixed strided_slice test. * add empty check to NDArray::reshapei * infOrMax * empty min/max with infinity tests * made unstack working correctly with empty arrays * few IndexReduce tests + tweaks for empty shapes * add test for empty concat * few tests fixed * Validation fix for reductions on empty shapes * Reverse fix * Reduction shape calc fixes * SameDiff.generateOutputVariable: don't use shape function to determine number of outputs * Range fix * - NDArray constructor updated for scalars/empty arrays - few tests fixed * More fixes * Empty creator fixes * concat fix * concat fix * TF import tests: allow 'both all NaN' and 'both all inf' to pass * Slice, zero fraction, and reshape fixes * transpose, gather * Zero fraction * scalar cast fix * Empty reduction axis support * few more tests fixed * Fixed input checks conforming with TF for concat op and tests. * few tests fixed * matmul scalar shape fix * Fixed checkout for data type and scalarity with concat to allow non-empty scalars with vector concats. * broadcast bool fix * few more tests * few more tests * correct evalReduceShapeInfoEmpty * argmax/argmin + tests * one more empty edge case + one more test * argmax/argmin/realdiv_bp tweaks * empty reshape test + fix * Helper fixes * Small fixes * Gather test fix * Gather test fix * Small fixes * reduce scalar zero values * scalar mean workaround * Remove debug code * along dim mean workaround * one more test * - equalsTo() tweak for empty arrays - one more test * broadcast tweaks
63 lines
3.0 KiB
C++
63 lines
3.0 KiB
C++
/*******************************************************************************
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* Copyright (c) 2015-2018 Skymind, Inc.
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*
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* This program and the accompanying materials are made available under the
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* terms of the Apache License, Version 2.0 which is available at
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* https://www.apache.org/licenses/LICENSE-2.0.
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*
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* Unless required by applicable law or agreed to in writing, software
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* distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
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* WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
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* License for the specific language governing permissions and limitations
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* under the License.
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*
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* SPDX-License-Identifier: Apache-2.0
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******************************************************************************/
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//
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// @author raver119@gmail.com
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//
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#ifndef DEV_TESTS_SHAPEBUILDERS_H
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#define DEV_TESTS_SHAPEBUILDERS_H
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#include <vector>
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#include <helpers/shape.h>
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#include <pointercast.h>
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#include <memory/Workspace.h>
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#include <array/DataType.h>
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#include <array/ArrayOptions.h>
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namespace nd4j {
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class ND4J_EXPORT ShapeBuilders {
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public:
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static Nd4jLong* createScalarShapeInfo(nd4j::DataType dataType, nd4j::memory::Workspace* workspace = nullptr);
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static Nd4jLong* createVectorShapeInfo(const nd4j::DataType dataType, const Nd4jLong length, nd4j::memory::Workspace* workspace = nullptr);
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/**
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* create shapeInfo for given order basing on shape stored in shapeOnly vector
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* memory allocation for shapeInfo is on given workspace
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*/
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static Nd4jLong* createShapeInfo(const nd4j::DataType dataType, const char order, int rank, const Nd4jLong* shapeOnly, memory::Workspace* workspace = nullptr);
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static Nd4jLong* createShapeInfo(const nd4j::DataType dataType, const char order, const std::vector<Nd4jLong>& shapeOnly, memory::Workspace* workspace = nullptr);
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static Nd4jLong* createShapeInfo(const nd4j::DataType dataType, const char order, const std::initializer_list<Nd4jLong>& shapeOnly, memory::Workspace* workspace = nullptr);
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/**
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* allocates memory for new shapeInfo and copy all information from inShapeInfo to new shapeInfo
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* if copyStrides is false then strides for new shapeInfo are recalculated
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*/
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static Nd4jLong* copyShapeInfo(const Nd4jLong* inShapeInfo, const bool copyStrides, memory::Workspace* workspace = nullptr);
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static Nd4jLong* copyShapeInfoAndType(const Nd4jLong* inShapeInfo, const DataType dtype, const bool copyStrides, memory::Workspace* workspace = nullptr);
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static Nd4jLong* copyShapeInfoAndType(const Nd4jLong* inShapeInfo, const Nd4jLong* shapeInfoToGetTypeFrom, const bool copyStrides, memory::Workspace* workspace = nullptr);
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static Nd4jLong* emptyShapeInfo(const nd4j::DataType dataType, memory::Workspace* workspace = nullptr);
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static Nd4jLong* emptyShapeInfo(const nd4j::DataType dataType, const char order, const std::vector<Nd4jLong> &shape, memory::Workspace* workspace = nullptr);
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};
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}
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#endif //DEV_TESTS_SHAPEBUILDERS_H
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