cavis/libnd4j/tests_cpu/layers_tests/ArrayOptionsTests.cpp
raver119 3c4e959e21 [WIP] More of CUDA (#95)
* initial commit

Signed-off-by: raver119 <raver119@gmail.com>

* Implementation of hashcode cuda helper. Working edition.

* Fixed parallel test input arangements.

* Fixed tests for hashcode op.

* Fixed shape calculation for image:crop_and_resize op and test.

* NativeOps tests. Initial test suite.

* Added tests for indexReduce methods.

* Added test on execBroadcast with NDArray as dimensions.

* Added test on execBroadcastBool with NDArray as dimensions.

* Added tests on execPairwiseTransform and execPairwiseTransofrmBool.

* Added tests for execReduce with scalar results.

* Added reduce tests for non-empty dims array.

* Added tests for reduce3.

* Added tests for execScalar.

* Added tests for execSummaryStats.

* - provide cpu/cuda code for batch_to_space
- testing it

Signed-off-by: Yurii <yurii@skymind.io>

* - remove old test for batch_to_space (had wrong format and numbers were not checked)

Signed-off-by: Yurii <yurii@skymind.io>

* Fixed complilation errors with test.

* Added test for execTransformFloat.

* Added test for execTransformSame.

* Added test for execTransformBool.

* Added test for execTransformStrict.

* Added tests for execScalar/execScalarBool with TADs.

* Added test for flatten.

* - provide cpu/cuda code for space_to_Batch operaion

Signed-off-by: Yurii <yurii@skymind.io>

* Added test for concat.

* comment unnecessary stuff in s_t_b

Signed-off-by: Yurii <yurii@skymind.io>

* Added test for specialConcat.

* Added tests for memcpy/set routines.

* Fixed pullRow cuda test.

* Added pullRow test.

* Added average test.

* - correct typo in NDArray::applyPairwiseTransform(nd4j::pairwise::BoolOps op...)

Signed-off-by: Yurii <yurii@skymind.io>

* - debugging and fixing cuda tests in JavaInteropTests file

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* - correct some tests

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* Added test for shuffle.

* Fixed ops declarations.

* Restored omp and added shuffle test.

* Added convertTypes test.

* Added tests for execRandom. Eliminated usage of RandomBuffer with NativeOps.

* Added sort tests.

* Added tests for execCustomOp.

* - further debuging and fixing tests terminated with crash

Signed-off-by: Yurii <yurii@skymind.io>

* Added tests for calculateOutputShapes.

* Addded Benchmarks test.

* Commented benchmark tests.

* change assertion

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* Added tests for apply_sgd op. Added cpu helper for that op.

* Implement cuda helper for aplly_sgd op. Fixed tests for NativeOps.

* Added test for assign broadcastable.

* Added tests for assign_bp op.

* Added tests for axpy op.

* - assign/execScalar/execTransformAny signature change
- minor test fix

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* Fixed axpy op.

* meh

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* - fix tests for nativeOps::concat

Signed-off-by: Yurii <yurii@skymind.io>

* sequential transform/scalar

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* allow nested parallelism

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* assign_bp leak fix

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* block setRNG fix

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* enable parallelism by default

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* enable nested parallelism by default

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* Added cuda implementation for row_count helper.

* Added implementation for tnse gains op helper.

* - take into account possible situations when input arrays are empty in reduce_ cuda stuff

Signed-off-by: Yurii <yurii@skymind.io>

* Implemented tsne/edge_forces op cuda-based helper. Parallelized cpu-based helper for edge_forces.

* Added kernel for tsne/symmetrized op heleper.

* Implementation of tsne/symmetrized op cuda helper. Working edition.

* Eliminated waste printfs.

* Added test for broadcastgradientargs op.

* host-only fallback for empty reduce float

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* - some tests fixes

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* - correct the rest of reduce_ stuff

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* - further correction of reduce_ stuff

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* Added test for Cbow op. Also added cuda implementation for cbow helpers.

* - improve code of stack operation for scalar case

Signed-off-by: Yurii <yurii@skymind.io>

* - provide cuda kernel for gatherND operation

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* Implementation of cbow helpers with cuda kernels.

* minor tests tweaks

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* minor tests tweaks

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* - further correction of cuda stuff

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* Implementatation of cbow op helper with cuda kernels. Working edition.

* Skip random testing for cudablas case.

* lstmBlockCell context fix

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* Added tests for ELU and ELU_BP ops.

* Added tests for eq_scalar, gt_scalar, gte_scalar and lte_scalar ops.

* Added tests for neq_scalar.

* Added test for noop.

* - further work on clipbynorm_bp

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* - get rid of concat op call, use instead direct concat helper call

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* lstmBlockCell context fix

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* Added tests for lrelu and lrelu_bp.

* Added tests for selu and selu_bp.

* Fixed lrelu derivative helpers.

* - some corrections in lstm

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* operator * result shape fix

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* - correct typo in lstmCell

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* few tests fixed

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* CUDA inverse broadcast bool fix

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* disable MMAP test for CUDA

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* BooleanOp syncToDevice

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* meh

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* additional data types for im2col/col2im

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* Added test for firas_sparse op.

* one more RandomBuffer test excluded

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* Added tests for flatten op.

* Added test for Floor op.

* bunch of tests fixed

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* mmulDot tests fixed

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* more tests fixed

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* Implemented floordiv_bp op and tests.

* Fixed scalar case with cuda implementation for bds.

* - work on cuda kernel for clip_by_norm backprop op is completed

Signed-off-by: Yurii <yurii@skymind.io>

* Eliminate cbow crach.

* more tests fixed

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* more tests fixed

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* Eliminated abortion with batched nlp test.

* more tests fixed

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* Fixed shared flag initializing.

* disabled bunch of cpu workspaces tests

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* scalar operators fix: missing registerSpecialUse call

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* Fixed logdet for cuda and tests.

* - correct clipBynorm_bp

Signed-off-by: Yurii <yurii@skymind.io>

* Fixed crop_and_resize shape datatype.

* - correct some mmul tests

Signed-off-by: Yurii <yurii@skymind.io>
2019-08-05 11:27:05 +10:00

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3.4 KiB
C++

/*******************************************************************************
* Copyright (c) 2015-2018 Skymind, Inc.
*
* This program and the accompanying materials are made available under the
* terms of the Apache License, Version 2.0 which is available at
* https://www.apache.org/licenses/LICENSE-2.0.
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
* WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
* License for the specific language governing permissions and limitations
* under the License.
*
* SPDX-License-Identifier: Apache-2.0
******************************************************************************/
//
// Created by raver119 on 13.01.2018.
//
#include "testlayers.h"
#include <array/ArrayOptions.h>
#include <NDArray.h>
using namespace nd4j;
class ArrayOptionsTests : public testing::Test {
public:
Nd4jLong shape[8] = {2, 5, 5, 5, 1, 0, 1, 99};
};
TEST_F(ArrayOptionsTests, TestShape_Basic_0) {
shape[5] = 1;
ASSERT_TRUE(ArrayOptions::isNewFormat(shape));
ASSERT_FALSE(ArrayOptions::isSparseArray(shape));
}
TEST_F(ArrayOptionsTests, TestShape_Basic_1) {
shape[5] = 2;
ASSERT_TRUE(ArrayOptions::isNewFormat(shape));
ASSERT_TRUE(ArrayOptions::isSparseArray(shape));
}
TEST_F(ArrayOptionsTests, TestShape_Basic_2) {
shape[5] = 258;
ASSERT_TRUE(ArrayOptions::isNewFormat(shape));
ASSERT_TRUE(ArrayOptions::isSparseArray(shape));
ASSERT_EQ(SpaceType::CONTINUOUS, ArrayOptions::spaceType(shape));
}
TEST_F(ArrayOptionsTests, TestShape_Basic_3) {
ASSERT_EQ(0, shape::extra(shape));
ASSERT_EQ(SpaceType::CONTINUOUS, ArrayOptions::spaceType(shape));
}
TEST_F(ArrayOptionsTests, TestShape_Basic_4) {
ArrayOptions::setPropertyBits(shape, {ARRAY_HALF, ARRAY_QUANTIZED});
auto dtype = ArrayOptions::dataType(shape);
ASSERT_FALSE(ArrayOptions::isSparseArray(shape));
ASSERT_TRUE(nd4j::DataType::HALF == ArrayOptions::dataType(shape));
ASSERT_EQ(nd4j::ArrayType::DENSE, ArrayOptions::arrayType(shape));
ASSERT_EQ(nd4j::SpaceType::QUANTIZED, ArrayOptions::spaceType(shape));
}
TEST_F(ArrayOptionsTests, TestShape_Basic_5) {
ArrayOptions::setPropertyBits(shape, {ARRAY_SPARSE, ARRAY_INT, ARRAY_CSC});
ASSERT_TRUE(ArrayOptions::isSparseArray(shape));
ASSERT_TRUE(nd4j::DataType::INT32 == ArrayOptions::dataType(shape));
ASSERT_EQ(nd4j::SparseType::CSC, ArrayOptions::sparseType(shape));
}
TEST_F(ArrayOptionsTests, TestShape_Basic_6) {
ArrayOptions::setPropertyBits(shape, {ARRAY_EMPTY, ARRAY_INT, ARRAY_CSC});
ASSERT_EQ(nd4j::ArrayType::EMPTY, ArrayOptions::arrayType(shape));
}
TEST_F(ArrayOptionsTests, TestShape_Basic_7) {
ArrayOptions::setDataType(shape, nd4j::DataType::FLOAT32);
ArrayOptions::setDataType(shape, nd4j::DataType::FLOAT32);
ASSERT_EQ(nd4j::DataType::FLOAT32, ArrayOptions::dataType(shape));
}
TEST_F(ArrayOptionsTests, TestShape_Basic_8) {
ArrayOptions::setDataType(shape, nd4j::DataType::DOUBLE);
ArrayOptions::setDataType(shape, nd4j::DataType::FLOAT32);
ASSERT_EQ(nd4j::DataType::FLOAT32, ArrayOptions::dataType(shape));
}
TEST_F(ArrayOptionsTests, TestShape_Basic_9) {
ArrayOptions::setDataType(shape, nd4j::DataType::FLOAT32);
ArrayOptions::setDataType(shape, nd4j::DataType::DOUBLE);
ASSERT_EQ(nd4j::DataType::DOUBLE, ArrayOptions::dataType(shape));
}