c969b724bb
* initial commit Signed-off-by: raver119 <raver119@gmail.com> * Added gradcheck test for dynamic_partition_bp op. * - implementation of dilation op (cpu and cuda) Signed-off-by: Yurii <yurii@skymind.io> * Fixed broadcast_dynamic_shape 1D case and tests. * Fixed usage of default integer arguments. * Fixed dynamic_partition_bp op and tests. * Eliminated test with grad check for dynamic_partition_bp op. * start working on cuda svd - porting available corresponding api from cuSOLVER library Signed-off-by: Yurii <yurii@skymind.io> * provide prelu_bp Signed-off-by: Yurii <yurii@skymind.io> * - provide gruCell_bp (old version ??) Signed-off-by: Yurii <yurii@skymind.io> * - polishing cumsum_bp and cumprod_bp tests Signed-off-by: Yurii <yurii@skymind.io> * provide sparseSoftmaxCrossEntropyWithLogits and sparseSoftmaxCrossEntropyWithLogits_grad Signed-off-by: Yurii <yurii@skymind.io> * Fixed atomicMul with float input/output * implementation of cuda kernel for triu_bp operation Signed-off-by: Yurii <yurii@skymind.io> * Refactored lup helper to add parrallel computing. * cusolver libraries Signed-off-by: raver119 <raver119@gmail.com> * uncomment cuSolver APIs in svd.cu Signed-off-by: Yurii <yurii@skymind.io> * cusolver var Signed-off-by: raver119 <raver119@gmail.com> * - further work on cuSolver svd Signed-off-by: Yurii <yurii@skymind.io> * Implement usage of cuda solver to LUP decomposition. * - correct naames in lup functions Signed-off-by: Yurii <yurii@skymind.io> * correct svdQR cuda Signed-off-by: Yurii <yurii@skymind.io> * - provide transpositions of input matrices in case of c order in svdCudaQR Signed-off-by: Yurii <yurii@skymind.io> * Fixed implementation issues with LUP usign cuda solver. * Implementation of matrix_determinant helper with cuda kernels. Working revision. * Implemented log_matrix_determinant helper with cuda kernels. * - implementation of batched cuda svd Signed-off-by: Yurii <yurii@skymind.io> * Refactored cholesky helper and implementation of cuda solver cholesky batch. * - implementation of cuda kernel for tile bp Signed-off-by: Yurii <yurii@skymind.io> * Implementation of cholesky and logdet with cuda kernels. * - implementation of cuda kernel for sru_bidirectional Signed-off-by: Yurii <yurii@skymind.io> * Fixed cholesky helper. * Cholesky op helper implementation. Working double-based cublas implementation. * bad import excluded Signed-off-by: raver119 <raver119@gmail.com> * Finished with cuda implementation of cholesky helper and tests. * - implementation of cuda kernel for sru_bidirectional_backprop operation Signed-off-by: Yurii <yurii@skymind.io> * Implementation of matrix_inverse op helper with cuda kernels. The first revision. * - start working on gruCell_bp Signed-off-by: Yurii <yurii@skymind.io> * Implementation of matrix_inverse helper. * - further work on new gruCell_bp Signed-off-by: Yurii <yurii@skymind.io> * cuBLAS related fixes Signed-off-by: raver119 <raver119@gmail.com> * calculateOutputShapes() now passes device buffers as well Signed-off-by: raver119 <raver119@gmail.com> * special concat/average/accumulate init host pointers now Signed-off-by: raver119 <raver119@gmail.com> * few more tweaks Signed-off-by: raver119 <raver119@gmail.com> * additional CudaDataBufferFactory signatures certain for data types Signed-off-by: raver119 <raver119@gmail.com> * cuSolver host buffer Signed-off-by: raver119 <raver119@gmail.com> * buffer to buffer memcpy host ptr allocation Signed-off-by: raver119 <raver119@gmail.com>
2713 lines
105 KiB
C++
2713 lines
105 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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// Created by raver119 on 09.02.18.
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//
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#include "testlayers.h"
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#include <ops/declarable/CustomOperations.h>
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#include <helpers/helper_hash.h>
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#include <NDArray.h>
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#include <array/NDArrayList.h>
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using namespace nd4j;
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using namespace nd4j::graph;
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class DeclarableOpsTests6 : public testing::Test {
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public:
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DeclarableOpsTests6() {
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printf("\n");
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fflush(stdout);
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}
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};
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TEST_F(DeclarableOpsTests6, Test_StridedSlice_Once_Again_1) {
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auto matrix = NDArrayFactory::create<double>('c', {5, 2});
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auto b = NDArrayFactory::create<double>('c', {1}, {0.});
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auto e = NDArrayFactory::create<double>('c', {1}, {1});
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auto s = NDArrayFactory::create<double>('c', {1}, {1});
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auto exp = NDArrayFactory::create<double>('c', {2}, {1.0f, 2.0f});
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matrix.linspace(1);
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nd4j::ops::strided_slice op;
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auto result = op.execute({&matrix, &b, &e, &s}, {}, {0, 0, 0, 0, 1});
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ASSERT_EQ(Status::OK(), result->status());
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auto z = result->at(0);
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ASSERT_TRUE(exp.equalsTo(z));
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delete result;
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}
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TEST_F(DeclarableOpsTests6, Test_StridedSlice_Once_Again_2) {
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auto matrix = NDArrayFactory::create<double>('c', {5, 2});
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auto b = NDArrayFactory::create<double>('c', {1}, {0.0f});
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auto e = NDArrayFactory::create<double>('c', {1}, {1.0f});
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auto s = NDArrayFactory::create<double>('c', {1}, {1.0f});
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auto exp = NDArrayFactory::create<double>('c', {2}, {1.0f, 2.0f});
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matrix.linspace(1);
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nd4j::ops::strided_slice op;
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auto result = op.execute({&matrix, &b, &e, &s}, {}, {0, 0, 0, 0, 1});
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ASSERT_EQ(Status::OK(), result->status());
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auto z = result->at(0);
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ASSERT_EQ(exp, *z);
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delete result;
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}
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TEST_F(DeclarableOpsTests6, Test_StridedSlice_Once_Again_3) {
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auto matrix = NDArrayFactory::create<double>(10);
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auto b = NDArrayFactory::create<double>(0);
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auto e = NDArrayFactory::create<double>(0);
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auto s = NDArrayFactory::create<double>(1.0);
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//auto exp = NDArrayFactory::create<double>('c', {2}, {1.0f, 2.0f});
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//matrix.linspace(1);
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nd4j::ops::strided_slice op;
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auto result = op.execute({&matrix, &b, &e, &s}, {}, {0, 0, 0, 0, 1});
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ASSERT_EQ(Status::OK(), result->status());
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auto z = result->at(0);
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//z->printShapeInfo("SS OS shape");
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ASSERT_TRUE(z->isEmpty());
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//ASSERT_EQ(exp, *z);
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delete result;
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}
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TEST_F(DeclarableOpsTests6, Test_StridedSlice_Once_Again_4) {
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auto matrix = NDArrayFactory::create<double>('c', {1}, {10});
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auto b = NDArrayFactory::create<double>('c', {1}, {0.});
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auto e = NDArrayFactory::create<double>('c', {1}, {0.});
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auto s = NDArrayFactory::create<double>('c', {1}, {1.0});
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auto exp = NDArrayFactory::create<double>(10);
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//matrix.linspace(1);
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nd4j::ops::strided_slice op;
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auto result = op.execute({&matrix, &b, &e, &s}, {}, {0, 0, 0, 0, 1});
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ASSERT_EQ(Status::OK(), result->status());
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auto z = result->at(0);
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z->printShapeInfo("SS OS shape");
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z->printIndexedBuffer("SS OS out");
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ASSERT_TRUE(z->equalsTo(exp));
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//ASSERT_EQ(exp, *z);
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delete result;
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}
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TEST_F(DeclarableOpsTests6, Test_StridedSlice_Once_Again_04) {
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auto matrix = NDArrayFactory::create<double>('c', {1}, {10});
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auto b = NDArrayFactory::create_<int>('c', {1}, {1});
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auto e = NDArrayFactory::create_<int>('c', {1}, {(int)0});
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auto s = NDArrayFactory::create_<int>('c', {1}, {1});
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nd4j::ops::ones_as opOnes;
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//auto exp = NDArrayFactory::create<double>('c', {2}, {1.0f, 2.0f});
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auto onesRes = opOnes.execute({&matrix}, {}, {});
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//matrix.linspace(1);
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ASSERT_EQ(onesRes->status(), Status::OK());
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auto ones = onesRes->at(0);
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ones->printShapeInfo("Shape ones");
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*ones *= 10;
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auto onesD = ones->dup();
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auto variableSpace = new VariableSpace();
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variableSpace->putVariable(-1, onesD);
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variableSpace->putVariable(-2, b);
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variableSpace->putVariable(-3, e);
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variableSpace->putVariable(-4, s);
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auto block = new Context(1, variableSpace, false); // not-in-place
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block->fillInputs({-1});
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block->fillInputs({-2});
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block->fillInputs({-3});
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block->fillInputs({-4});
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block->getIArguments()->push_back(0);
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block->getIArguments()->push_back(0);
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block->getIArguments()->push_back(1);
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block->getIArguments()->push_back(0);
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block->getIArguments()->push_back(0);
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auto inputShapes = new ShapeList({ones->getShapeInfo(), b->getShapeInfo(), e->getShapeInfo(), s->getShapeInfo()});
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nd4j::ops::strided_slice op;
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auto result = op.calculateOutputShape(inputShapes, *block); //execute({ones, &b, &e, &s}, {}, {0, 1, 0, 0, 0});
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ASSERT_EQ(result->size(), 1);
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shape::printShapeInfoLinear(result->at(0));
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//auto z = result->at(0);
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// z->printShapeInfo("SS OS shape");
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ASSERT_TRUE(shape::isEmpty(result->at(0)));
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//ASSERT_EQ(exp, *z);
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delete block;
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delete onesRes;
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delete result;
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delete variableSpace;
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delete inputShapes;
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}
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TEST_F(DeclarableOpsTests6, Test_StridedSlice_Once_Again_5) {
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auto matrix = NDArrayFactory::create<double>('c', {3, 2, 2});
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auto b = NDArrayFactory::create<int>('c', {1}, {2});
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auto e = NDArrayFactory::create<int>('c', {1}, {3});
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auto s = NDArrayFactory::create<int>('c', {1}, {1});
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auto exp = NDArrayFactory::create<double>('c', {2,2}, {0.0f, 0.0f, 0., 0.});
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//matrix.linspace(1);
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nd4j::ops::strided_slice op;
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auto result = op.execute({&matrix, &b, &e, &s}, {}, {0, 0, 0, 0, 1});
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ASSERT_EQ(Status::OK(), result->status());
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auto z = result->at(0);
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z->printShapeInfo("Output shape");
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z->printIndexedBuffer("Output");
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ASSERT_TRUE(exp.equalsTo(z));
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delete result;
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}
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TEST_F(DeclarableOpsTests6, Test_StridedSlice_Once_Again_6) {
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auto matrix = NDArrayFactory::create<double>('c', {3, 2, 2});
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auto b = NDArrayFactory::create<int>('c', {1}, {2});
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auto e = NDArrayFactory::create<int>('c', {1}, {3});
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auto s = NDArrayFactory::create<int>('c', {1}, {1});
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auto exp = NDArrayFactory::create<double>('c', {1,2,2}, {0.0f, 0.0f, 0., 0.});
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//matrix.linspace(1);
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nd4j::ops::strided_slice op;
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auto result = op.execute({&matrix, &b, &e, &s}, {}, {0, 0, 0, 0, 2});
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ASSERT_EQ(Status::OK(), result->status());
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auto z = result->at(0);
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z->printShapeInfo("Output shape");
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z->printIndexedBuffer("Output");
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ASSERT_TRUE(exp.equalsTo(z));
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delete result;
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}
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TEST_F(DeclarableOpsTests6, Test_StridedSlice_Once_Again_7) {
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int zero = 0;
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auto matrix = NDArrayFactory::create<double>('c', {5, 4});
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auto b = NDArrayFactory::create<int>('c', {1}, {zero});
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auto e = NDArrayFactory::create<int>('c', {1}, {zero});
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auto s = NDArrayFactory::create<int>('c', {1}, {1});
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//auto exp = NDArrayFactory::create<double>('c', {1,2,2}, {0.0f, 0.0f, 0., 0.});
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//matrix.linspace(1);
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nd4j::ops::strided_slice op;
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auto result = op.execute({&matrix, &b, &e, &s}, {}, {1, 0, 0, 0, 0});
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ASSERT_EQ(Status::OK(), result->status());
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auto z = result->at(0);
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z->printShapeInfo("Output shape");
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z->printIndexedBuffer("Output");
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//ASSERT_TRUE(exp.equalsTo(z));
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delete result;
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}
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TEST_F(DeclarableOpsTests6, Test_Simple_Scalar_1) {
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auto x = NDArrayFactory::create<double>('c', {1, 1}, {2.0f});
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auto exp = NDArrayFactory::create<double>('c', {1, 1}, {4.0f});
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nd4j::ops::test_scalar op;
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auto result = op.execute({&x}, {}, {});
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ASSERT_EQ(Status::OK(), result->status());
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auto z = result->at(0);
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ASSERT_TRUE(exp.isSameShape(z));
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ASSERT_TRUE(exp.equalsTo(z));
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delete result;
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}
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TEST_F(DeclarableOpsTests6, Test_gatherNd_Edge_1) {
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auto x = NDArrayFactory::create<double>('c', {2, 4, 2, 2});
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auto indices = NDArrayFactory::create<int>('c', {3, 3}, {0,2,1, 0,1,0, 1,3,1});
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auto exp = NDArrayFactory::create<double>('c', {3,2}, {11.f, 12.f, 5.f, 6.f, 31.f, 32.f});
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x.linspace(1);
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nd4j::ops::gather_nd op;
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auto result = op.execute({&x, &indices}, {}, {});
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ASSERT_EQ(Status::OK(), result->status());
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auto z = result->at(0);
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//z->printIndexedBuffer();
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//z->printShapeInfo("z shape");
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ASSERT_TRUE(exp.isSameShape(z));
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ASSERT_TRUE(exp.equalsTo(z));
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delete result;
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}
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TEST_F(DeclarableOpsTests6, Test_StB_1) {
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auto x = NDArrayFactory::create<double>('c', {4, 64, 64, 4});
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auto blocks = NDArrayFactory::create<double>('c', {2}, {8, 8});
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auto paddings = NDArrayFactory::create<double>('c', {2, 2}, {12, 12, 16, 16});
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x.assign(1.0f);
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nd4j::ops::space_to_batch op;
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auto result = op.execute({&x, &blocks, &paddings}, {}, {});
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ASSERT_EQ(Status::OK(), result->status());
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auto z = result->at(0);
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//nd4j_printf("Mean: %f\n", z->meanNumber());
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delete result;
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}
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TEST_F(DeclarableOpsTests6, Test_StB_2) {
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auto x = NDArrayFactory::create<double>('c', {2, 6, 6, 2});
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auto blocks = NDArrayFactory::create<double>('c', {2}, {2, 2});
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auto paddings = NDArrayFactory::create<double>('c', {2, 2}, {2, 2, 2, 2});
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x.assign(1.0f);
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nd4j::ops::space_to_batch op;
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auto result = op.execute({&x, &blocks, &paddings}, {}, {});
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ASSERT_EQ(Status::OK(), result->status());
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auto z = result->at(0);
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delete result;
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}
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TEST_F(DeclarableOpsTests6, Test_BtS_1) {
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auto x = NDArrayFactory::create<double>('f', {256, 8, 8, 2});
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auto blocks = NDArrayFactory::create<double>('c',{2}, {8, 8});
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auto crops = NDArrayFactory::create<double>('c', {2, 2});
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nd4j::ops::batch_to_space op;
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auto result = op.execute({&x, &blocks, &crops}, {}, {});
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ASSERT_EQ(Status::OK(), result->status());
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auto z = result->at(0);
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delete result;
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}
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TEST_F(DeclarableOpsTests6, Test_Order_1) {
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auto x = NDArrayFactory::create<double>('f', {2, 3});
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auto exp = NDArrayFactory::create<double>('c', {2, 3});
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x.linspace(1);
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exp.linspace(1);
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nd4j::ops::order op;
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auto result = op.execute({&x}, {}, {0});
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ASSERT_EQ(Status::OK(), result->status());
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auto z = result->at(0);
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z->printIndexedBuffer("O Output");
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exp.printIndexedBuffer("O Expect");
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ASSERT_TRUE(exp.equalsTo(z));
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ASSERT_NE(x.ordering(), z->ordering());
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delete result;
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}
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TEST_F(DeclarableOpsTests6, cumSum_1) {
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auto x = NDArrayFactory::create<float>('c', {1, 4}, {1.f, 2.f, 3.f, 4.f});
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auto exp = NDArrayFactory::create<float>('c', {1, 4}, {1.f, 3.f, 6.f, 10.f});
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nd4j::ops::cumsum op;
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auto result = op.execute({&x}, {}, {0, 0});
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ASSERT_EQ(ND4J_STATUS_OK, result->status());
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auto z = result->at(0);
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// z->printIndexedBuffer("CumSum1");
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ASSERT_TRUE(exp.isSameShape(z));
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ASSERT_TRUE(exp.equalsTo(z));
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delete result;
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}
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TEST_F(DeclarableOpsTests6, cumSum_2) {
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auto x= NDArrayFactory::create<float>('c', {2, 4}, {1, 2, 3, 4, 1, 2, 3, 4});
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auto exp= NDArrayFactory::create<float>('c', {2, 4}, {1, 3, 6, 10, 1, 3, 6, 10});
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nd4j::ops::cumsum op;
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auto result = op.execute({&x}, {}, {0, 0, 1});
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ASSERT_EQ(ND4J_STATUS_OK, result->status());
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auto z = result->at(0);
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// z->printIndexedBuffer("CumSum1");
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ASSERT_TRUE(exp.isSameShape(z));
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ASSERT_TRUE(exp.equalsTo(z));
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delete result;
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}
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TEST_F(DeclarableOpsTests6, cumSum_3) {
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auto x= NDArrayFactory::create<float>('c', {2, 4}, {1, 2, 3, 4, 1, 2, 3, 4});
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auto exp= NDArrayFactory::create<float>('c', {2, 4}, {1, 2, 3, 4, 2, 4, 6, 8});
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nd4j::ops::cumsum op;
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auto result = op.execute({&x}, {}, {0, 0, 0});
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ASSERT_EQ(ND4J_STATUS_OK, result->status());
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auto z = result->at(0);
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ASSERT_TRUE(exp.isSameShape(z));
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ASSERT_TRUE(exp.equalsTo(z));
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delete result;
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}
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TEST_F(DeclarableOpsTests6, cumSum_4) {
|
|
auto x = NDArrayFactory::create<double>('c', {3, 3}, {1, 2, 3, 4, 5, 6, 7, 8, 9});
|
|
auto exp = NDArrayFactory::create<double>('c', {3, 3}, {12., 15., 18., 11., 13., 15., 7., 8., 9.});
|
|
|
|
nd4j::ops::cumsum op;
|
|
auto result = op.execute({&x}, {}, {0, 1, 0}, {}, false, nd4j::DataType::DOUBLE);
|
|
ASSERT_EQ(Status::OK(), result->status());
|
|
|
|
auto z = result->at(0);
|
|
// z->printBuffer();
|
|
|
|
ASSERT_TRUE(exp.equalsTo(z));
|
|
|
|
delete result;
|
|
}
|
|
|
|
TEST_F(DeclarableOpsTests6, cumSum_5) {
|
|
auto x = NDArrayFactory::create<double>('c', {3, 3}, {1, 2, 3, 4, 5, 6, 7, 8, 9});
|
|
auto exp = NDArrayFactory::create<double>('c', {3, 3}, {6.f, 5.f, 3.f, 15.f, 11.f, 6.f, 24.f, 17.f, 9.f,});
|
|
|
|
nd4j::ops::cumsum op;
|
|
auto result = op.execute({&x}, {}, {0, 1, 1}, {}, false, nd4j::DataType::DOUBLE);
|
|
ASSERT_EQ(Status::OK(), result->status());
|
|
|
|
auto z = result->at(0);
|
|
|
|
ASSERT_TRUE(exp.equalsTo(z));
|
|
|
|
delete result;
|
|
}
|
|
|
|
TEST_F(DeclarableOpsTests6, cumSum_6) {
|
|
auto x = NDArrayFactory::create<double>('c', {3, 3}, {1, 2, 3, 4, 5, 6, 7, 8, 9});
|
|
auto exp = NDArrayFactory::create<double>('c', {3, 3}, {11.f, 13.f, 15.f, 7.f, 8.f, 9.f, 0.f, 0.f, 0.f});
|
|
|
|
nd4j::ops::cumsum op;
|
|
auto result = op.execute({&x}, {}, {1, 1, 0}, {}, false, nd4j::DataType::DOUBLE);
|
|
ASSERT_EQ(Status::OK(), result->status());
|
|
|
|
auto z = result->at(0);
|
|
|
|
ASSERT_TRUE(exp.equalsTo(z));
|
|
|
|
delete result;
|
|
}
|
|
|
|
TEST_F(DeclarableOpsTests6, cumSum_7) {
|
|
auto x = NDArrayFactory::create<double>('c', {3, 3}, {1, 2, 3, 4, 5, 6, 7, 8, 9});
|
|
auto exp = NDArrayFactory::create<double>('c', {3, 3}, {5.f, 3.f, 0.f, 11.f, 6.f, 0.f, 17.f, 9.f, 0.f});
|
|
|
|
nd4j::ops::cumsum op;
|
|
auto result = op.execute({&x}, {}, {1, 1, 1}, {}, false, nd4j::DataType::DOUBLE);
|
|
ASSERT_EQ(Status::OK(), result->status());
|
|
|
|
auto z = result->at(0);
|
|
|
|
ASSERT_TRUE(exp.equalsTo(z));
|
|
|
|
delete result;
|
|
}
|
|
|
|
TEST_F(DeclarableOpsTests6, cumSum_8) {
|
|
auto x = NDArrayFactory::create<double>('c', {3, 3}, {1, 2, 3, 4, 5, 6, 7, 8, 9});
|
|
auto axis = NDArrayFactory::create<Nd4jLong>('c', {1}, {1});
|
|
auto exp = NDArrayFactory::create<double>('c', {3, 3}, {5.f, 3.f, 0.f, 11.f, 6.f, 0.f, 17.f, 9.f, 0.f});
|
|
|
|
nd4j::ops::cumsum op;
|
|
auto result = op.execute({&x, &axis}, {}, {1, 1}, {}, false, nd4j::DataType::DOUBLE);
|
|
ASSERT_EQ(Status::OK(), result->status());
|
|
|
|
auto z = result->at(0);
|
|
|
|
ASSERT_TRUE(exp.equalsTo(z));
|
|
|
|
delete result;
|
|
}
|
|
|
|
////////////////////////////////////////////////////////////////////////////////
|
|
TEST_F(DeclarableOpsTests6, cumSum_9) {
|
|
|
|
auto inputC = NDArrayFactory::create<double>('c', {3, 5}, {1., 2., 3., 4., 5., 6., 7., 8., 9., 10., 11., 12., 13., 14., 15.});
|
|
auto axis = NDArrayFactory::create<Nd4jLong>(1);
|
|
|
|
auto expFF = NDArrayFactory::create<double>('c', {3, 5}, {1., 3., 6., 10., 15., 6., 13., 21., 30., 40., 11., 23., 36., 50., 65.});
|
|
auto expTF = NDArrayFactory::create<double>('c', {3, 5}, {0., 1., 3., 6., 10., 0., 6., 13., 21., 30., 0., 11., 23., 36., 50.});
|
|
|
|
auto expFT = NDArrayFactory::create<double>('c', {3, 5}, {15, 14, 12, 9, 5,40, 34, 27, 19, 10,65, 54, 42, 29, 15}); //+++
|
|
auto expTT = NDArrayFactory::create<double>('c', {3, 5}, {14, 12, 9, 5, 0,34, 27, 19, 10, 0,54, 42, 29, 15, 0});
|
|
|
|
int exclusive, reverse;
|
|
|
|
//************************************//
|
|
exclusive = 0; reverse = 0;
|
|
|
|
nd4j::ops::cumsum op;
|
|
auto result = op.execute({&inputC, &axis}, {}, {exclusive, reverse}, {}, false, nd4j::DataType::DOUBLE);
|
|
ASSERT_EQ(Status::OK(), result->status());
|
|
auto z = result->at(0);
|
|
ASSERT_TRUE(expFF.equalsTo(z));
|
|
delete result;
|
|
|
|
//************************************//
|
|
exclusive = 1; reverse = 0;
|
|
|
|
result = op.execute({&inputC, &axis}, {}, {exclusive, reverse}, {}, false, nd4j::DataType::DOUBLE);
|
|
ASSERT_EQ(Status::OK(), result->status());
|
|
z = result->at(0);
|
|
ASSERT_TRUE(expTF.equalsTo(z));
|
|
delete result;
|
|
|
|
//************************************//
|
|
exclusive = 0; reverse = 1;
|
|
|
|
result = op.execute({&inputC, &axis}, {}, {exclusive, reverse}, {}, false, nd4j::DataType::DOUBLE);
|
|
ASSERT_EQ(Status::OK(), result->status());
|
|
z = result->at(0);
|
|
ASSERT_TRUE(expFT.equalsTo(z));
|
|
delete result;
|
|
|
|
//************************************//
|
|
exclusive = 1; reverse = 1;
|
|
|
|
result = op.execute({&inputC, &axis}, {}, {exclusive, reverse}, {}, false, nd4j::DataType::DOUBLE);
|
|
ASSERT_EQ(Status::OK(), result->status());
|
|
z = result->at(0);
|
|
ASSERT_TRUE(expTT.equalsTo(z));
|
|
delete result;
|
|
|
|
}
|
|
|
|
////////////////////////////////////////////////////////////////////////////////
|
|
TEST_F(DeclarableOpsTests6, cumSum_10) {
|
|
auto x = NDArrayFactory::create<double>('c', {4, 16, 16, 1});
|
|
auto y = NDArrayFactory::create<int>(-3);
|
|
|
|
nd4j::ops::cumsum op;
|
|
auto result = op.execute({&x, &y}, {}, {1, 1}, {});
|
|
ASSERT_EQ(Status::OK(), result->status());
|
|
|
|
delete result;
|
|
}
|
|
|
|
////////////////////////////////////////////////////////////////////////////////
|
|
TEST_F(DeclarableOpsTests6, cumSum_11) {
|
|
|
|
NDArray x('c', {3, 3, 3}, nd4j::DataType::DOUBLE);
|
|
auto exp = NDArrayFactory::create<double>('c', {3,3,3}, {12., 15., 18.,11., 13., 15.,7., 8., 9., 39., 42., 45.,29., 31., 33.,16., 17., 18., 66., 69., 72.,47., 49., 51.,25., 26., 27.});
|
|
|
|
x.linspace(1);
|
|
|
|
nd4j::ops::cumsum op;
|
|
auto result = op.execute({&x}, {}, {0, 1, 1}, {}, false, nd4j::DataType::DOUBLE);
|
|
ASSERT_EQ(Status::OK(), result->status());
|
|
|
|
auto z = result->at(0);
|
|
|
|
ASSERT_TRUE(exp.equalsTo(z));
|
|
|
|
delete result;
|
|
}
|
|
|
|
////////////////////////////////////////////////////////////////////////////////
|
|
TEST_F(DeclarableOpsTests6, cumSum_12) {
|
|
|
|
NDArray x('c', {3, 3, 3}, nd4j::DataType::DOUBLE);
|
|
auto exp = NDArrayFactory::create<double>('c', {3,3,3}, {1., 2., 3.,5., 7., 9.,12., 15., 18., 10., 11., 12.,23., 25., 27.,39., 42., 45., 19., 20., 21.,41., 43., 45., 66., 69., 72.});
|
|
|
|
x.linspace(1);
|
|
|
|
nd4j::ops::cumsum op;
|
|
auto result = op.execute({&x}, {}, {0, 0, 1}, {}, false, nd4j::DataType::DOUBLE);
|
|
ASSERT_EQ(Status::OK(), result->status());
|
|
|
|
auto z = result->at(0);
|
|
|
|
ASSERT_TRUE(exp.equalsTo(z));
|
|
|
|
delete result;
|
|
}
|
|
|
|
////////////////////////////////////////////////////////////////////////////////
|
|
TEST_F(DeclarableOpsTests6, cumSum_13) {
|
|
|
|
NDArray x('c', {3, 3, 3}, nd4j::DataType::DOUBLE);
|
|
auto exp = NDArrayFactory::create<double>('c', {3,3,3}, {11., 13., 15.,7., 8., 9.,0., 0., 0., 29., 31., 33.,16., 17., 18.,0., 0., 0., 47., 49., 51.,25., 26., 27.,0., 0., 0.});
|
|
|
|
x.linspace(1);
|
|
|
|
nd4j::ops::cumsum op;
|
|
auto result = op.execute({&x}, {}, {1, 1, 1}, {}, false, nd4j::DataType::DOUBLE);
|
|
ASSERT_EQ(Status::OK(), result->status());
|
|
|
|
auto z = result->at(0);
|
|
|
|
ASSERT_TRUE(exp.equalsTo(z));
|
|
|
|
delete result;
|
|
}
|
|
|
|
////////////////////////////////////////////////////////////////////////////////
|
|
TEST_F(DeclarableOpsTests6, cumSum_14) {
|
|
|
|
NDArray x('c', {3, 3, 3}, nd4j::DataType::DOUBLE);
|
|
auto exp = NDArrayFactory::create<double>('c', {3,3,3}, {29., 31., 33.,35., 37., 39.,41., 43., 45., 19., 20., 21.,22., 23., 24.,25., 26., 27., 0., 0., 0.,0., 0., 0.,0., 0., 0.});
|
|
|
|
x.linspace(1);
|
|
|
|
nd4j::ops::cumsum op;
|
|
auto result = op.execute({&x}, {}, {1, 1, 0}, {}, false, nd4j::DataType::DOUBLE);
|
|
ASSERT_EQ(Status::OK(), result->status());
|
|
|
|
auto z = result->at(0);
|
|
|
|
ASSERT_TRUE(exp.equalsTo(z));
|
|
|
|
delete result;
|
|
}
|
|
|
|
////////////////////////////////////////////////////////////////////////////////
|
|
TEST_F(DeclarableOpsTests6, cumSum_15) {
|
|
|
|
NDArray x('c', {3, 3, 3}, nd4j::DataType::DOUBLE);
|
|
auto exp = NDArrayFactory::create<double>('c', {3,3,3}, {6., 5., 3.,15., 11., 6.,24., 17., 9., 33., 23., 12.,42., 29., 15.,51., 35., 18., 60., 41., 21.,69., 47., 24.,78., 53., 27.});
|
|
|
|
x.linspace(1);
|
|
|
|
nd4j::ops::cumsum op;
|
|
auto result = op.execute({&x}, {}, {0, 1, 2}, {}, false, nd4j::DataType::DOUBLE);
|
|
ASSERT_EQ(Status::OK(), result->status());
|
|
|
|
auto z = result->at(0);
|
|
|
|
ASSERT_TRUE(exp.equalsTo(z));
|
|
|
|
delete result;
|
|
}
|
|
|
|
////////////////////////////////////////////////////////////////////////////////
|
|
TEST_F(DeclarableOpsTests6, cumSum_16) {
|
|
|
|
NDArray x('f', {3, 4}, nd4j::DataType::FLOAT32);
|
|
|
|
nd4j::ops::cumsum op;
|
|
auto result = op.execute({&x}, {}, {0, 0, 1});
|
|
ASSERT_EQ(Status::OK(), result->status());
|
|
|
|
auto z = result->at(0);
|
|
// z->printShapeInfo();
|
|
// x.printShapeInfo();
|
|
|
|
ASSERT_TRUE(z->ews() == 1);
|
|
ASSERT_TRUE(x.ews() == 1);
|
|
|
|
delete result;
|
|
}
|
|
|
|
////////////////////////////////////////////////////////////////////////////////
|
|
TEST_F(DeclarableOpsTests6, cumSum_17) {
|
|
|
|
NDArray x('c', {2, 1500}, nd4j::DataType::FLOAT32);
|
|
NDArray x0 = x(0, {0});
|
|
NDArray x1 = x(1, {0});
|
|
x0.linspace(1);
|
|
x1.linspace(1);
|
|
|
|
NDArray exp('c', {2, 1500}, nd4j::DataType::FLOAT32);
|
|
NDArray exp0 = exp(0, {0});
|
|
NDArray exp1 = exp(1, {0});
|
|
|
|
exp0.p<float>(0, 1.);
|
|
exp1.p<float>(0, 1.);
|
|
|
|
for (int i = 1; i < 1500; ++i) {
|
|
const auto prev = exp0.e<float>(i-1);
|
|
exp0.p<float>(i, prev + i + 1);
|
|
exp1.p<float>(i, prev + i + 1);
|
|
}
|
|
|
|
nd4j::ops::cumsum op;
|
|
auto result = op.execute({&x}, {}, {0, 0, 1});
|
|
ASSERT_EQ(Status::OK(), result->status());
|
|
|
|
auto z = result->at(0);
|
|
|
|
ASSERT_TRUE(exp.equalsTo(z));
|
|
|
|
delete result;
|
|
}
|
|
|
|
////////////////////////////////////////////////////////////////////////////////
|
|
TEST_F(DeclarableOpsTests6, cumSum_18) {
|
|
|
|
NDArray x('c', {2, 1500}, nd4j::DataType::FLOAT32);
|
|
NDArray x0 = x(0, {0});
|
|
NDArray x1 = x(1, {0});
|
|
x0.linspace(1);
|
|
x1.linspace(1);
|
|
|
|
NDArray exp('c', {2, 1500}, nd4j::DataType::FLOAT32);
|
|
NDArray exp0 = exp(0, {0});
|
|
NDArray exp1 = exp(1, {0});
|
|
|
|
exp0.p<float>(0, 0.);
|
|
exp1.p<float>(0, 0.);
|
|
|
|
for (int i = 1; i < 1500; ++i) {
|
|
const auto prev = exp0.e<float>(i-1);
|
|
exp0.p<float>(i, prev + i);
|
|
exp1.p<float>(i, prev + i);
|
|
}
|
|
|
|
nd4j::ops::cumsum op;
|
|
auto result = op.execute({&x}, {}, {1, 0, 1});
|
|
ASSERT_EQ(Status::OK(), result->status());
|
|
|
|
auto z = result->at(0);
|
|
|
|
ASSERT_TRUE(exp.equalsTo(z));
|
|
|
|
delete result;
|
|
}
|
|
|
|
////////////////////////////////////////////////////////////////////////////////
|
|
TEST_F(DeclarableOpsTests6, cumSum_19) {
|
|
|
|
NDArray x('c', {2, 1500}, nd4j::DataType::FLOAT32);
|
|
NDArray x0 = x(0, {0});
|
|
NDArray x1 = x(1, {0});
|
|
x0.linspace(1);
|
|
x1.linspace(1);
|
|
|
|
NDArray exp('c', {2, 1500}, nd4j::DataType::FLOAT32);
|
|
NDArray exp0 = exp(0, {0});
|
|
NDArray exp1 = exp(1, {0});
|
|
|
|
exp0.p<float>(1499, 1500.);
|
|
exp1.p<float>(1499, 1500.);
|
|
|
|
for (int i = 1498; i >= 0; --i) {
|
|
const auto prev = exp0.e<float>(i + 1);
|
|
exp0.p<float>(i, prev + i + 1);
|
|
exp1.p<float>(i, prev + i + 1);
|
|
}
|
|
|
|
nd4j::ops::cumsum op;
|
|
auto result = op.execute({&x}, {}, {0, 1, 1});
|
|
ASSERT_EQ(Status::OK(), result->status());
|
|
|
|
auto z = result->at(0);
|
|
// exp0.printBuffer();
|
|
|
|
ASSERT_TRUE(exp.equalsTo(z));
|
|
|
|
delete result;
|
|
}
|
|
|
|
////////////////////////////////////////////////////////////////////////////////
|
|
TEST_F(DeclarableOpsTests6, cumSum_20) {
|
|
|
|
NDArray x('c', {2, 1500}, nd4j::DataType::FLOAT32);
|
|
NDArray x0 = x(0, {0});
|
|
NDArray x1 = x(1, {0});
|
|
x0.linspace(1);
|
|
x1.linspace(1);
|
|
|
|
NDArray exp('c', {2, 1500}, nd4j::DataType::FLOAT32);
|
|
NDArray exp0 = exp(0, {0});
|
|
NDArray exp1 = exp(1, {0});
|
|
|
|
exp0.p<float>(1499, 0.);
|
|
exp1.p<float>(1499, 0.);
|
|
|
|
for (int i = 1498; i >= 0; --i) {
|
|
const auto prev = exp0.e<float>(i + 1);
|
|
exp0.p<float>(i, prev + i + 2);
|
|
exp1.p<float>(i, prev + i + 2);
|
|
}
|
|
|
|
nd4j::ops::cumsum op;
|
|
auto result = op.execute({&x}, {}, {1, 1, 1});
|
|
ASSERT_EQ(Status::OK(), result->status());
|
|
|
|
auto z = result->at(0);
|
|
|
|
ASSERT_TRUE(exp.equalsTo(z));
|
|
|
|
delete result;
|
|
}
|
|
|
|
////////////////////////////////////////////////////////////////////////////////
|
|
TEST_F(DeclarableOpsTests6, TestDropout_1) {
|
|
|
|
auto x = NDArrayFactory::create<double>('c', {2, 2, 2}, {1.f, 2.f, 3.f, 4.f, 5.f, 6.f, 7.f, 8.f});
|
|
auto shape = NDArrayFactory::create<Nd4jLong>({2, 2});
|
|
nd4j::ops::dropout op;
|
|
|
|
auto ress = op.execute({&x, &shape}, {0.2f}, {113}, {}, false, nd4j::DataType::DOUBLE);
|
|
|
|
ASSERT_EQ(ND4J_STATUS_OK, ress->status());
|
|
//ress->at(0)->printIndexedBuffer("Result is ");
|
|
//x.printIndexedBuffer("Input is");
|
|
|
|
delete ress;
|
|
}
|
|
|
|
|
|
TEST_F(DeclarableOpsTests6, TestDropout_2) {
|
|
// auto x0 = NDArrayFactory::create<double>('c', {10, 10});
|
|
// auto x1 = NDArrayFactory::create<double>('c', {10, 10});
|
|
auto x = NDArrayFactory::create<double>('c', {3, 3}, {1.f, 2.f, 3.f, 4.f, 5.f, 6.f, 7.f, 8.f, 9.f});
|
|
|
|
nd4j::ops::dropout op;
|
|
|
|
auto ress = op.execute({&x}, {0.4f}, {113}, {}, false, nd4j::DataType::DOUBLE);
|
|
|
|
ASSERT_EQ(ND4J_STATUS_OK, ress->status());
|
|
//x.printIndexedBuffer("Input is");
|
|
//ress->at(0)->printIndexedBuffer("Result is ");
|
|
|
|
delete ress;
|
|
}
|
|
|
|
TEST_F(DeclarableOpsTests6, TestDropout_3) {
|
|
// auto x0 = NDArrayFactory::create<double>('c', {10, 10});
|
|
// auto x1 = NDArrayFactory::create<double>('c', {10, 10});
|
|
auto x = NDArrayFactory::create<double>('c', {2, 2, 2}, {1.f, 2.f, 3.f, 4.f, 5.f, 6.f, 7.f, 8.f});
|
|
auto shape = NDArrayFactory::create<int>({1, 2});
|
|
|
|
nd4j::ops::dropout op;
|
|
|
|
auto ress = op.execute({&x, &shape}, {0.4f}, {113}, {}, false, nd4j::DataType::DOUBLE);
|
|
|
|
ASSERT_EQ(ND4J_STATUS_OK, ress->status());
|
|
//x.printIndexedBuffer("Input is");
|
|
//ress->at(0)->printIndexedBuffer("Result is ");
|
|
|
|
delete ress;
|
|
}
|
|
|
|
////////////////////////////////////////////////////////////////////////////////
|
|
TEST_F(DeclarableOpsTests6, MaxPoolWithArgmax_1) {
|
|
|
|
auto x = NDArrayFactory::create<double>('c', {2, 2, 2, 4}, {5.5, 0., 0.3, 5.5,1.5, 0., 1.3, 6.5,8.6, 0., 0., 0.4,2.5, 1., 0.3, 4.5,
|
|
1.5, 1., 1.3, 1.5, 3.5, 0., 1.3, 2.5, 2.6, 2., 3., 1.4, 4.5, 1., 0.3, 0.5});
|
|
auto expI = NDArrayFactory::create<Nd4jLong>('c', {2, 2, 2, 4}, {0, 1, 2, 3,4, 5, 6, 7,8, 9, 10, 11,12, 13, 14, 15,
|
|
0, 1, 2, 3,4, 5, 6, 7,8, 9, 10, 11,12, 13, 14, 15});
|
|
|
|
nd4j::ops::max_pool_with_argmax op;
|
|
|
|
auto ress = op.execute({&x}, {}, {1,1,1,1,1,1,1,1,1});
|
|
|
|
ASSERT_EQ(ND4J_STATUS_OK, ress->status());
|
|
ASSERT_TRUE(expI.isSameShape(ress->at(0)));
|
|
ASSERT_TRUE(expI.isSameShape(ress->at(1)));
|
|
ASSERT_TRUE(x.equalsTo(ress->at(0)));
|
|
ASSERT_TRUE(expI.equalsTo(ress->at(1)));
|
|
//x.printIndexedBuffer("Input is");
|
|
|
|
ASSERT_TRUE(expI.equalsTo(ress->at(1)));
|
|
|
|
delete ress;
|
|
}
|
|
|
|
////////////////////////////////////////////////////////////////////////////////
|
|
TEST_F(DeclarableOpsTests6, SufficientStatistics_1) {
|
|
// auto x0 = NDArrayFactory::create<double>('c', {10, 10});
|
|
// auto x1 = NDArrayFactory::create<double>('c', {10, 10});
|
|
auto x = NDArrayFactory::create<double>('c', {2, 2, 2, 4}, {5.5, 0., 0.3, 5.5,1.5, 0., 1.3, 6.5,8.6, 0., 0., 0.4,2.5, 1., 0.3, 4.5,1.5, 1.,
|
|
1.3, 1.5,3.5, 0., 1.3, 2.5,2.6, 2., 3., 1.4,4.5, 1., 0.3, 0.5});
|
|
// ------------------------------------
|
|
double count = 8.0;
|
|
auto sumExp = NDArrayFactory::create<double>({30.2, 5., 7.8, 22.8});
|
|
auto sqrExp = NDArrayFactory::create<double>({154.22, 7., 14.34, 103.62});
|
|
|
|
auto axis = NDArrayFactory::create<Nd4jLong>({0, 1, 2});
|
|
|
|
nd4j::ops::sufficient_statistics op;
|
|
|
|
auto ress = op.execute({&x, &axis}, {}, {}, {}, false, nd4j::DataType::DOUBLE);
|
|
|
|
ASSERT_EQ(ND4J_STATUS_OK, ress->status());
|
|
ASSERT_EQ(ress->at(0)->e<double>(0), count);
|
|
ASSERT_TRUE(sumExp.equalsTo(ress->at(1)));
|
|
ASSERT_TRUE(sqrExp.equalsTo(ress->at(2)));
|
|
|
|
delete ress;
|
|
}
|
|
|
|
////////////////////////////////////////////////////////////////////////////////
|
|
TEST_F(DeclarableOpsTests6, SufficientStatistics_2) {
|
|
// auto x0 = NDArrayFactory::create<double>('c', {10, 10});
|
|
// auto x1 = NDArrayFactory::create<double>('c', {10, 10});
|
|
auto x = NDArrayFactory::create<double>('c', {2, 2, 2, 4}, {5.5, 0., 0.3, 5.5,1.5, 0., 1.3, 6.5,8.6, 0., 0., 0.4,2.5, 1., 0.3, 4.5,
|
|
1.5, 1., 1.3, 1.5,3.5, 0., 1.3, 2.5,2.6, 2., 3., 1.4,4.5, 1., 0.3, 0.5});
|
|
// ------------------------------------
|
|
double count = 4.0;
|
|
auto sumExp = NDArrayFactory::create<double>('c', {2, 4}, {
|
|
18.2, 3., 4.6, 8.8,
|
|
12., 2., 3.2, 14.}
|
|
);
|
|
|
|
auto sqrExp = NDArrayFactory::create<double>('c', {2, 4}, {
|
|
113.22, 5., 10.78, 34.62,
|
|
41., 2., 3.56, 69.}
|
|
);
|
|
|
|
auto axis = NDArrayFactory::create<int>({0, 1});
|
|
|
|
nd4j::ops::sufficient_statistics op;
|
|
|
|
auto ress = op.execute({&x, &axis}, {}, {}, {}, false, nd4j::DataType::DOUBLE);
|
|
|
|
ASSERT_EQ(ND4J_STATUS_OK, ress->status());
|
|
ASSERT_EQ(ress->at(0)->e<double>(0), count);
|
|
ASSERT_TRUE(sumExp.equalsTo(ress->at(1)));
|
|
ASSERT_TRUE(sqrExp.equalsTo(ress->at(2)));
|
|
|
|
delete ress;
|
|
}
|
|
|
|
////////////////////////////////////////////////////////////////////////////////
|
|
TEST_F(DeclarableOpsTests6, BinCount_1) {
|
|
|
|
auto x = NDArrayFactory::create<int>('c', {2, 2, 2}, {
|
|
1, 2, 0, 1, 2, 2, 1, 2}
|
|
);
|
|
// ------------------------------------
|
|
|
|
NDArray exp('c', {3}, {1, 3, 4}, nd4j::DataType::INT32);
|
|
|
|
nd4j::ops::bincount op;
|
|
|
|
auto res = op.execute({&x}, {}, {});
|
|
|
|
ASSERT_EQ(ND4J_STATUS_OK, res->status());
|
|
ASSERT_TRUE(exp.equalsTo(res->at(0)));
|
|
|
|
delete res;
|
|
}
|
|
|
|
/////////////////////////////////////////////////////////////////////////////////
|
|
TEST_F(DeclarableOpsTests6, BinCount_2) {
|
|
|
|
auto x = NDArrayFactory::create<int>('c', {2, 2, 2}, {
|
|
1, 2, 0, 1, 2, 2, 1, 2}
|
|
);
|
|
|
|
auto weights = NDArrayFactory::create<double>('c', {2, 2, 2}, {
|
|
2, 1, 3, 1, 5, 1, 1, 6}
|
|
);
|
|
|
|
// ------------------------------------
|
|
|
|
auto exp = NDArrayFactory::create<double>({3., 4., 13.});
|
|
|
|
nd4j::ops::bincount op;
|
|
|
|
auto res = op.execute({&x, &weights}, {}, {});
|
|
|
|
ASSERT_EQ(ND4J_STATUS_OK, res->status());
|
|
ASSERT_TRUE(exp.equalsTo(res->at(0)));
|
|
|
|
delete res;
|
|
}
|
|
|
|
/////////////////////////////////////////////////////////////////////////////////
|
|
TEST_F(DeclarableOpsTests6, BinCount_3) {
|
|
|
|
auto x = NDArrayFactory::create<int>('c', {2, 2, 2}, {
|
|
1, 2, 0, 1, 2, 2, 1, 2}
|
|
);
|
|
|
|
auto weights = NDArrayFactory::create<double>('c', {2, 2, 2}, {
|
|
2, 1, 3, 1, 5, 1, 1, 6}
|
|
);
|
|
|
|
// ------------------------------------
|
|
|
|
auto exp = NDArrayFactory::create<double>({3., 4.});
|
|
|
|
nd4j::ops::bincount op;
|
|
|
|
auto res = op.execute({&x, &weights}, {}, {0, 2});
|
|
|
|
ASSERT_EQ(ND4J_STATUS_OK, res->status());
|
|
ASSERT_TRUE(exp.equalsTo(res->at(0)));
|
|
|
|
delete res;
|
|
}
|
|
|
|
/////////////////////////////////////////////////////////////////////////////////
|
|
TEST_F(DeclarableOpsTests6, BinCount_4) {
|
|
|
|
auto x = NDArrayFactory::create<int>('c', {2, 2, 2}, {
|
|
1, 2, 0, 1, 2, 2, 1, 2}
|
|
);
|
|
|
|
auto weights = NDArrayFactory::create<double>('c', {2, 2, 2}, {
|
|
2, 1, 3, 1, 5, 1, 1, 6}
|
|
);
|
|
|
|
// ------------------------------------
|
|
|
|
auto exp = NDArrayFactory::create<double>({3., 4., 13., 0.0});
|
|
|
|
nd4j::ops::bincount op;
|
|
|
|
auto res = op.execute({&x, &weights}, {}, {4, 4});
|
|
|
|
ASSERT_EQ(ND4J_STATUS_OK, res->status());
|
|
ASSERT_TRUE(exp.equalsTo(res->at(0)));
|
|
|
|
delete res;
|
|
}
|
|
|
|
/////////////////////////////////////////////////////////////////////////////////
|
|
TEST_F(DeclarableOpsTests6, BinCount_5) {
|
|
|
|
auto x = NDArrayFactory::create<int>('c', {2, 2, 2}, {
|
|
1, 2, 0, 1, 2, 2, 1, 2}
|
|
);
|
|
|
|
auto weights = NDArrayFactory::create<double>('c', {2, 2, 2}, {
|
|
2, 1, 3, 1, 5, 1, 1, 6}
|
|
);
|
|
auto minV = NDArrayFactory::create(4);
|
|
auto maxV = NDArrayFactory::create(4);
|
|
// ------------------------------------
|
|
|
|
auto exp = NDArrayFactory::create<double>({3., 4., 13., 0.0});
|
|
|
|
nd4j::ops::bincount op;
|
|
|
|
auto res = op.execute({&x, &weights, &minV, &maxV}, {}, {});
|
|
ASSERT_EQ(ND4J_STATUS_OK, res->status());
|
|
// res->at(0)->printBuffer("BC out");
|
|
ASSERT_TRUE(exp.equalsTo(res->at(0)));
|
|
|
|
delete res;
|
|
}
|
|
|
|
/////////////////////////////////////////////////////////////////////////////////
|
|
TEST_F(DeclarableOpsTests6, BroadcastDynamicShape_1) {
|
|
|
|
auto x = NDArrayFactory::create<int>( {2, 2, 2} );
|
|
|
|
auto y = NDArrayFactory::create<int>({ 2, 1, 2});
|
|
|
|
// ------------------------------------
|
|
|
|
auto exp = NDArrayFactory::create<int>({2, 2, 2});
|
|
|
|
nd4j::ops::broadcast_dynamic_shape op;
|
|
|
|
auto res = op.execute({&x, &y}, {}, {}, {}, false, nd4j::DataType::INT32);
|
|
|
|
ASSERT_EQ(ND4J_STATUS_OK, res->status());
|
|
ASSERT_TRUE(exp.equalsTo(res->at(0)));
|
|
|
|
delete res;
|
|
}
|
|
|
|
/////////////////////////////////////////////////////////////////////////////////
|
|
TEST_F(DeclarableOpsTests6, BroadcastDynamicShape_2) {
|
|
|
|
auto x = NDArrayFactory::create<Nd4jLong>( {2, 2} );
|
|
|
|
auto y = NDArrayFactory::create<Nd4jLong>({2, 1, 2});
|
|
|
|
// ------------------------------------
|
|
auto exp = NDArrayFactory::create<Nd4jLong>({2, 2, 2});
|
|
|
|
nd4j::ops::broadcast_dynamic_shape op;
|
|
|
|
auto res = op.execute({&x, &y}, {}, {}, {}, false, nd4j::DataType::INT64);
|
|
ASSERT_EQ(ND4J_STATUS_OK, res->status());
|
|
ASSERT_TRUE(exp.equalsTo(res->at(0)));
|
|
|
|
delete res;
|
|
}
|
|
|
|
/////////////////////////////////////////////////////////////////////////////////
|
|
TEST_F(DeclarableOpsTests6, BroadcastDynamicShape_3) {
|
|
|
|
auto x = NDArrayFactory::create<Nd4jLong>( {2, 2, 2} );
|
|
|
|
auto y = NDArrayFactory::create<Nd4jLong>({ 2, 1});
|
|
|
|
// ------------------------------------
|
|
|
|
auto exp = NDArrayFactory::create<Nd4jLong>({2, 2, 2});
|
|
|
|
nd4j::ops::broadcast_dynamic_shape op;
|
|
|
|
auto res = op.execute({&x, &y}, {}, {}, {}, false, nd4j::DataType::INT64);
|
|
|
|
ASSERT_EQ(ND4J_STATUS_OK, res->status());
|
|
ASSERT_TRUE(exp.equalsTo(res->at(0)));
|
|
|
|
delete res;
|
|
}
|
|
|
|
/////////////////////////////////////////////////////////////////////////////////
|
|
TEST_F(DeclarableOpsTests6, BroadcastDynamicShape_SGO_4) {
|
|
|
|
auto x = NDArrayFactory::create<Nd4jLong>( {2, 1} );
|
|
|
|
auto y = NDArrayFactory::create<Nd4jLong>('c', {1}, { 4,});
|
|
|
|
// ------------------------------------
|
|
|
|
auto exp = NDArrayFactory::create<Nd4jLong>({2, 4});
|
|
|
|
nd4j::ops::broadcast_dynamic_shape op;
|
|
|
|
auto res = op.execute({&x, &y}, {}, {}, {}, false, nd4j::DataType::INT64);
|
|
|
|
ASSERT_EQ(ND4J_STATUS_OK, res->status());
|
|
//res->at(0)->printBuffer("Shape SGO 4");
|
|
ASSERT_TRUE(exp.equalsTo(res->at(0)));
|
|
|
|
delete res;
|
|
}
|
|
/////////////////////////////////////////////////////////////////////////////////
|
|
TEST_F(DeclarableOpsTests6, BroadcastDynamicShape_5) {
|
|
|
|
auto x = NDArrayFactory::create<Nd4jLong>({2, 2, 2});
|
|
|
|
auto y = NDArrayFactory::create<Nd4jLong>({2, 2});
|
|
|
|
// ------------------------------------
|
|
|
|
auto exp = NDArrayFactory::create<Nd4jLong>({2, 2, 2});
|
|
|
|
nd4j::ops::broadcast_dynamic_shape op;
|
|
auto res = op.execute({&x, &y}, {}, {}, {}, false, nd4j::DataType::INT64);
|
|
|
|
ASSERT_EQ(ND4J_STATUS_OK, res->status());
|
|
// res->at(0)->printIndexedBuffer("Output");
|
|
// exp.printIndexedBuffer("Expect");
|
|
ASSERT_TRUE(exp.equalsTo(res->at(0)));
|
|
|
|
delete res;
|
|
}
|
|
|
|
/////////////////////////////////////////////////////////////////////////////////
|
|
TEST_F(DeclarableOpsTests6, BroadcastDynamicShape_SGO_5) {
|
|
|
|
auto x = NDArrayFactory::create<Nd4jLong>({2, 1, 2});
|
|
|
|
auto y = NDArrayFactory::create<Nd4jLong>({2, 2, 4});
|
|
|
|
// ------------------------------------
|
|
|
|
auto exp = NDArrayFactory::create<Nd4jLong>({2, 2, 4});
|
|
|
|
nd4j::ops::broadcast_dynamic_shape op;
|
|
auto res = op.execute({&x, &y}, {}, {}, {}, false, nd4j::DataType::INT64);
|
|
|
|
ASSERT_EQ(ND4J_STATUS_OK, res->status());
|
|
// res->at(0)->printIndexedBuffer("Output SGO 5");
|
|
// exp.printIndexedBuffer("Expect");
|
|
ASSERT_TRUE(exp.equalsTo(res->at(0)));
|
|
|
|
delete res;
|
|
}
|
|
/////////////////////////////////////////////////////////////////////////////////
|
|
TEST_F(DeclarableOpsTests6, BroadcastDynamicShape_SGO_6) {
|
|
|
|
auto x = NDArrayFactory::create<Nd4jLong>({2, 1, 4});
|
|
|
|
auto y = NDArrayFactory::create<Nd4jLong>({2, 2, 4});
|
|
|
|
// ------------------------------------
|
|
|
|
auto exp = NDArrayFactory::create<Nd4jLong>({2, 2, 4});
|
|
|
|
nd4j::ops::broadcast_dynamic_shape op;
|
|
auto res = op.execute({&x, &y}, {}, {}, {}, false, nd4j::DataType::INT64);
|
|
|
|
ASSERT_EQ(ND4J_STATUS_OK, res->status());
|
|
// res->at(0)->printIndexedBuffer("Output SGO 6");
|
|
// exp.printIndexedBuffer("Expect");
|
|
ASSERT_TRUE(exp.equalsTo(res->at(0)));
|
|
|
|
delete res;
|
|
}
|
|
|
|
/////////////////////////////////////////////////////////////////////////////////
|
|
TEST_F(DeclarableOpsTests6, BroadcastDynamicShape_SGO_7) {
|
|
|
|
auto x = NDArrayFactory::create<Nd4jLong>({1, 1, 3});
|
|
|
|
auto y = NDArrayFactory::create<Nd4jLong>({2, 4, 1});
|
|
|
|
// ------------------------------------
|
|
|
|
auto exp = NDArrayFactory::create<Nd4jLong>({2, 4, 3});
|
|
|
|
nd4j::ops::broadcast_dynamic_shape op;
|
|
auto res = op.execute({&x, &y}, {}, {}, {}, false, nd4j::DataType::INT64);
|
|
|
|
ASSERT_EQ(ND4J_STATUS_OK, res->status());
|
|
// res->at(0)->printIndexedBuffer("Output SGO 7");
|
|
// exp.printIndexedBuffer("Expect");
|
|
ASSERT_TRUE(exp.equalsTo(res->at(0)));
|
|
|
|
delete res;
|
|
}
|
|
|
|
/////////////////////////////////////////////////////////////////////////////////
|
|
TEST_F(DeclarableOpsTests6, BroadcastDynamicShape_SGO_8) {
|
|
|
|
auto x = NDArrayFactory::create<int>('c', {1}, {1});
|
|
|
|
auto y = NDArrayFactory::create<int>('c', {1}, {4});
|
|
|
|
// ------------------------------------
|
|
|
|
auto exp = NDArrayFactory::create<int>('c', {1}, {4});
|
|
|
|
nd4j::ops::broadcast_dynamic_shape op;
|
|
auto res = op.execute({&x, &y}, {}, {}, {}, false, nd4j::DataType::INT32);
|
|
|
|
ASSERT_EQ(ND4J_STATUS_OK, res->status());
|
|
// res->at(0)->printIndexedBuffer("Output SGO 8");
|
|
// exp.printIndexedBuffer("Expect");
|
|
ASSERT_TRUE(exp.equalsTo(res->at(0)));
|
|
|
|
delete res;
|
|
}
|
|
|
|
/////////////////////////////////////////////////////////////////////////////////
|
|
TEST_F(DeclarableOpsTests6, BroadcastDynamicShape_SGO_9) {
|
|
|
|
auto x = NDArrayFactory::create<int>('c', {2}, {2,2});
|
|
|
|
auto y = NDArrayFactory::create<int>('c', {1}, {1});
|
|
|
|
// ------------------------------------
|
|
|
|
auto exp = NDArrayFactory::create<int>('c', {2}, {2,2});
|
|
|
|
nd4j::ops::broadcast_dynamic_shape op;
|
|
auto res = op.execute({&x, &y}, {}, {}, {}, false, nd4j::DataType::INT32);
|
|
|
|
ASSERT_EQ(ND4J_STATUS_OK, res->status());
|
|
res->at(0)->printIndexedBuffer("Output SGO 9");
|
|
exp.printIndexedBuffer("Expect9");
|
|
ASSERT_TRUE(exp.equalsTo(res->at(0)));
|
|
|
|
delete res;
|
|
}
|
|
|
|
////////////////////////////////////////////////////////////////////////////////
|
|
TEST_F(DeclarableOpsTests6, ClipByGlobalNorm_1) {
|
|
|
|
auto x = NDArrayFactory::create<double>('c', {2, 3, 3}, {-3.0, 0.0, 0.0, 4.0, 0.0, 0.0,
|
|
-3.0, 0.0, 0.0, 4.0, 0.0, 0.0,
|
|
-3.0, 0.0, 0.0, 4.0, 0.0, 0.0}
|
|
);
|
|
|
|
auto exp = NDArrayFactory::create<double>('c', {2, 3, 3}, {
|
|
-0.2771281, 0., 0.,
|
|
0.36950415, 0., 0.,
|
|
-0.2771281, 0., 0.,
|
|
0.36950415, 0., 0.,
|
|
-0.2771281, 0., 0.,
|
|
0.36950415, 0., 0.}
|
|
);
|
|
// 8.660254
|
|
// auto expNorm(8.660254);
|
|
|
|
nd4j::ops::clip_by_global_norm op;
|
|
auto result = op.execute({&x}, {0.8}, {});
|
|
|
|
ASSERT_EQ(ND4J_STATUS_OK, result->status());
|
|
|
|
auto z = result->at(0);
|
|
auto norm = result->at(1);
|
|
//z->printIndexedBuffer("Output");
|
|
//exp.printIndexedBuffer("Expected");
|
|
//norm->printIndexedBuffer("Norm");
|
|
|
|
ASSERT_TRUE(exp.isSameShape(z));
|
|
ASSERT_TRUE(exp.equalsTo(z));
|
|
// ASSERT_TRUE(expNorm.equalsTo(norm));
|
|
|
|
delete result;
|
|
}
|
|
|
|
////////////////////////////////////////////////////////////////////////////////
|
|
TEST_F(DeclarableOpsTests6, ClipByGlobalNorm_2) {
|
|
|
|
auto x = NDArrayFactory::create<double>('c', {2, 3, 3}, {-3.0, 0.0, 0.0, 4.0, 0.0, 0.0,
|
|
-3.0, 0.0, 0.0, 4.0, 0.0, 0.0,
|
|
-3.0, 0.0, 0.0, 4.0, 0.0, 0.0}
|
|
);
|
|
|
|
auto a = NDArrayFactory::create<double>('c', {2, 3, 3}, {-3.0, 0.0, 0.0, 4.0, 0.0, 0.0,
|
|
-3.0, 0.0, 0.0, 4.0, 0.0, 0.0,
|
|
-3.0, 0.0, 0.0, 4.0, 0.0, 0.0}
|
|
);
|
|
|
|
auto exp = NDArrayFactory::create<double>('c', {2, 3, 3}, {
|
|
-0.44090813, 0., 0.,
|
|
0.5878775, 0., 0.,
|
|
-0.44090813, 0., 0.,
|
|
0.5878775, 0., 0.,
|
|
-0.44090813, 0., 0.,
|
|
0.5878775, 0., 0.}
|
|
//12.247449
|
|
|
|
);
|
|
|
|
nd4j::ops::clip_by_global_norm op;
|
|
auto result = op.execute({&x, &a}, {1.8}, {});
|
|
|
|
ASSERT_EQ(ND4J_STATUS_OK, result->status());
|
|
|
|
auto z = result->at(0);
|
|
auto y = result->at(1);
|
|
|
|
ASSERT_TRUE(exp.isSameShape(z));
|
|
ASSERT_TRUE(exp.isSameShape(y));
|
|
ASSERT_TRUE(exp.equalsTo(z));
|
|
ASSERT_TRUE(exp.equalsTo(y));
|
|
|
|
delete result;
|
|
}
|
|
|
|
////////////////////////////////////////////////////////////////////////////////
|
|
TEST_F(DeclarableOpsTests6, ClipByGlobalNorm_3) {
|
|
|
|
auto x = NDArrayFactory::create<double>('c', {2, 3, 3}, {-3.0, 0.0, 0.0, 4.0, 0.0, 0.0, -3.0, 0.0, 0.0, 4.0, 0.0, 0.0, -3.0, 0.0, 0.0, 4.0, 0.0, 0.0});
|
|
auto a = NDArrayFactory::create<double>('c', {2, 3, 3}, {-3.0, 0.0, 0.0, 4.0, 0.0, 0.0, -3.0, 0.0, 0.0, 4.0, 0.0, 0.0, -3.0, 0.0, 0.0, 4.0, 0.0, 0.0});
|
|
auto exp = NDArrayFactory::create<double>('c', {2, 3, 3}, {
|
|
-0.19595918, 0., 0.,
|
|
0.2612789, 0., 0.,
|
|
-0.19595918, 0., 0.,
|
|
0.2612789, 0., 0.,
|
|
-0.19595918, 0., 0.,
|
|
0.2612789, 0., 0.}
|
|
);
|
|
|
|
nd4j::ops::clip_by_global_norm op;
|
|
auto result = op.execute({&x, &a}, {0.8}, {});
|
|
|
|
ASSERT_EQ(ND4J_STATUS_OK, result->status());
|
|
|
|
auto z = result->at(0);
|
|
auto y = result->at(1);
|
|
//z->printIndexedBuffer("Output 1");
|
|
//y->printIndexedBuffer("Output 2");
|
|
//result->at(2)->printIndexedBuffer("Global norm is");
|
|
|
|
ASSERT_TRUE(exp.isSameShape(z));
|
|
ASSERT_TRUE(exp.isSameShape(y));
|
|
ASSERT_TRUE(result->at(2)->isScalar());
|
|
ASSERT_TRUE(exp.equalsTo(z));
|
|
ASSERT_TRUE(exp.equalsTo(y));
|
|
|
|
delete result;
|
|
}
|
|
|
|
////////////////////////////////////////////////////////////////////////////////
|
|
TEST_F(DeclarableOpsTests6, MatrixDeterminant_1) {
|
|
|
|
auto x = NDArrayFactory::create<double>('c', {2, 3, 3}, {-3.0, 0.0, 0.0, 0.0, 4.0, 0.0, 0.0, 0.0, -3.0, 4.0, 0.0, 0.0, 0.0, -3.0, 0.0, 0.0, 0.0, 4.0});
|
|
auto exp = NDArrayFactory::create<double>({36.0, -48.0});
|
|
|
|
nd4j::ops::matrix_determinant op;
|
|
auto result = op.execute({&x}, {}, {});
|
|
|
|
ASSERT_EQ(ND4J_STATUS_OK, result->status());
|
|
|
|
auto z = result->at(0);
|
|
//z->printIndexedBuffer("Output ");
|
|
//exp.printIndexedBuffer("Expected ");
|
|
|
|
ASSERT_TRUE(exp.isSameShape(z));
|
|
ASSERT_TRUE(exp.equalsTo(z));
|
|
|
|
delete result;
|
|
}
|
|
|
|
////////////////////////////////////////////////////////////////////////////////
|
|
TEST_F(DeclarableOpsTests6, MatrixDeterminant_2) {
|
|
|
|
auto x = NDArrayFactory::create<double>('c', {2, 2, 2}, {1.0, 2.0, 3.0, 4.0, 1.0, 2.0, 3.0, 4.0});
|
|
auto exp = NDArrayFactory::create<double>({-2.0, -2.0});
|
|
|
|
nd4j::ops::matrix_determinant op;
|
|
auto result = op.execute({&x}, {}, {});
|
|
|
|
ASSERT_EQ(ND4J_STATUS_OK, result->status());
|
|
|
|
auto z = result->at(0);
|
|
//z->printIndexedBuffer("Output ");
|
|
//exp.printIndexedBuffer("Expected ");
|
|
|
|
ASSERT_TRUE(exp.isSameShape(z));
|
|
ASSERT_TRUE(exp.equalsTo(z));
|
|
|
|
delete result;
|
|
}
|
|
|
|
////////////////////////////////////////////////////////////////////////////////
|
|
TEST_F(DeclarableOpsTests6, MatrixDeterminant_3) {
|
|
|
|
auto x = NDArrayFactory::create<double>('c', {1, 3, 3}, {3.0, 1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 3.0});
|
|
NDArray exp('c', {1}, {-54.0});
|
|
|
|
nd4j::ops::matrix_determinant op;
|
|
auto result = op.execute({&x}, {}, {});
|
|
|
|
ASSERT_EQ(ND4J_STATUS_OK, result->status());
|
|
|
|
auto z = result->at(0);
|
|
//z->printIndexedBuffer("Output ");
|
|
//exp.printIndexedBuffer("Expected ");
|
|
|
|
ASSERT_TRUE(exp.isSameShape(z));
|
|
ASSERT_TRUE(exp.equalsTo(z));
|
|
|
|
delete result;
|
|
}
|
|
|
|
////////////////////////////////////////////////////////////////////////////////
|
|
TEST_F(DeclarableOpsTests6, MatrixDeterminant_4) {
|
|
|
|
auto x = NDArrayFactory::create<double>('c', {1, 3, 3}, {12.0, 1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 13.0});
|
|
auto exp = NDArrayFactory::create<double>('c', {1}, {189.0});
|
|
|
|
nd4j::ops::matrix_determinant op;
|
|
auto result = op.execute({&x}, {}, {});
|
|
|
|
ASSERT_EQ(ND4J_STATUS_OK, result->status());
|
|
|
|
auto z = result->at(0);
|
|
// z->printIndexedBuffer("Output ");
|
|
// exp.printIndexedBuffer("Expected ");
|
|
// z->printShapeInfo("Output shape");
|
|
ASSERT_TRUE(exp.isSameShape(z));
|
|
ASSERT_TRUE(exp.equalsTo(z));
|
|
|
|
delete result;
|
|
}
|
|
|
|
////////////////////////////////////////////////////////////////////////////////
|
|
TEST_F(DeclarableOpsTests6, MatrixDeterminant_5) {
|
|
|
|
auto x = NDArrayFactory::create<double>('c', {1, 4, 4});
|
|
NDArray exp('c', {1}, {-16.0});
|
|
x.linspace(1);
|
|
x.p(5, 4.0);
|
|
x.p(12, 12.0);
|
|
|
|
nd4j::ops::matrix_determinant op;
|
|
auto result = op.execute({&x}, {}, {});
|
|
|
|
ASSERT_EQ(ND4J_STATUS_OK, result->status());
|
|
|
|
auto z = result->at(0);
|
|
//z->printIndexedBuffer("Output ");
|
|
//exp.printIndexedBuffer("Expected ");
|
|
|
|
ASSERT_TRUE(exp.isSameShape(z));
|
|
ASSERT_TRUE(exp.equalsTo(z));
|
|
|
|
delete result;
|
|
}
|
|
|
|
////////////////////////////////////////////////////////////////////////////////
|
|
TEST_F(DeclarableOpsTests6, MatrixDeterminant_6) {
|
|
|
|
auto x = NDArrayFactory::create<double>('c', {4, 4});
|
|
auto exp = NDArrayFactory::create<double>(-16.0);
|
|
x.linspace(1);
|
|
x.p(5, 4.0);
|
|
x.p(12, 12.0);
|
|
|
|
nd4j::ops::matrix_determinant op;
|
|
auto result = op.execute({&x}, {}, {});
|
|
|
|
ASSERT_EQ(ND4J_STATUS_OK, result->status());
|
|
|
|
auto z = result->at(0);
|
|
//z->printIndexedBuffer("Output ");
|
|
//z->printShapeInfo("Shape");
|
|
//exp.printIndexedBuffer("Expected ");
|
|
ASSERT_TRUE(z->isScalar());
|
|
ASSERT_TRUE(exp.isSameShape(z));
|
|
ASSERT_TRUE(exp.equalsTo(z));
|
|
|
|
delete result;
|
|
}
|
|
|
|
////////////////////////////////////////////////////////////////////////////////
|
|
TEST_F(DeclarableOpsTests6, LogMatrixDeterminant_1) {
|
|
|
|
auto x = NDArrayFactory::create<double>('c', {2, 3, 3}, {-3.0, 0.0, 0.0, 0.0, 4.0, 0.0, 0.0, 0.0, -3.0, 4.0, 0.0, 0.0, 0.0, -3.0, 0.0, 0.0, 0.0, 4.0});
|
|
auto exp = NDArrayFactory::create<double>({3.58351893845611, 3.871201010907891});
|
|
|
|
nd4j::ops::log_matrix_determinant op;
|
|
auto result = op.execute({&x}, {}, {});
|
|
|
|
ASSERT_EQ(ND4J_STATUS_OK, result->status());
|
|
|
|
auto z = result->at(0);
|
|
//z->printIndexedBuffer("Output ");
|
|
//exp.printIndexedBuffer("Expected ");
|
|
|
|
ASSERT_TRUE(exp.isSameShape(z));
|
|
ASSERT_TRUE(exp.equalsTo(z));
|
|
|
|
delete result;
|
|
}
|
|
|
|
////////////////////////////////////////////////////////////////////////////////
|
|
TEST_F(DeclarableOpsTests6, LogDet_1) {
|
|
|
|
auto x = NDArrayFactory::create<double>('c', {2, 3, 3}, {4,12,-16,12,37,-43,-16,-43,98, 4,1.2,-1.6,1.2,3.7,-4.3,-1.6,-4.3,9.8});
|
|
auto exp = NDArrayFactory::create<double>({ 3.5835189, 4.159008});
|
|
|
|
//x.printIndexedBuffer("Input");
|
|
nd4j::ops::logdet op;
|
|
auto result = op.execute({&x}, {}, {});
|
|
|
|
ASSERT_EQ(ND4J_STATUS_OK, result->status());
|
|
|
|
auto z = result->at(0);
|
|
//z->printIndexedBuffer("Output ");
|
|
//exp.printIndexedBuffer("Expected ");
|
|
|
|
ASSERT_TRUE(exp.isSameShape(z));
|
|
ASSERT_TRUE(exp.equalsTo(z));
|
|
|
|
delete result;
|
|
}
|
|
|
|
////////////////////////////////////////////////////////////////////////////////
|
|
TEST_F(DeclarableOpsTests6, LogDet_2) {
|
|
|
|
auto x = NDArrayFactory::create<double>('c', {1, 3, 3}, {4,12,-16,12,37,-43,-16,-43,98});
|
|
auto exp = NDArrayFactory::create<double>('c', {1}, { 3.5835189});
|
|
|
|
//x.printIndexedBuffer("Input");
|
|
nd4j::ops::logdet op;
|
|
auto result = op.execute({&x}, {}, {});
|
|
|
|
ASSERT_EQ(ND4J_STATUS_OK, result->status());
|
|
|
|
auto z = result->at(0);
|
|
// z->printIndexedBuffer("Output ");
|
|
// z->printShapeInfo("Shape");
|
|
//exp.printIndexedBuffer("Expected ");
|
|
|
|
ASSERT_TRUE(exp.isSameShape(z));
|
|
ASSERT_TRUE(exp.equalsTo(z));
|
|
|
|
delete result;
|
|
}
|
|
|
|
////////////////////////////////////////////////////////////////////////////////
|
|
TEST_F(DeclarableOpsTests6, MatrixInverse_1) {
|
|
|
|
auto x = NDArrayFactory::create<float>('c', {2, 5, 5}, {
|
|
2., 4., 60., 8., 10.,
|
|
0., 1., 2., 3., 4.,
|
|
0., 0., 2., 4., 6.,
|
|
0., 0., 0., 1., 2.,
|
|
0., 0., 0., 0., 4.,
|
|
|
|
1., 0., 0., 0., 0.,
|
|
2., 1., 0., 0., 0.,
|
|
30., 2., 1., 0., 0.,
|
|
4., 3., 2., 1., 0.,
|
|
5., 4., 3., 2., 1.,
|
|
});
|
|
|
|
auto exp = NDArrayFactory::create<float>('c', {2, 5, 5}, {
|
|
0.5, -2.0, -13.0, 54.0, -6.75,
|
|
0.0, 1.0, -1.0, 1.0, 0.0,
|
|
0, 0, 0.5, -2.0, 0.25,
|
|
0, 0, 0, 1.0, -0.5,
|
|
0, 0, 0, 0, 0.25,
|
|
|
|
1.0, 0.0, 0.0, 0.0, 0.,
|
|
-2.0, 1.0, 0., 0., 0.,
|
|
-26.0, -2.0, 1, 0, 0.,
|
|
54.0, 1.0, -2.0, 1, 0.,
|
|
-27.0, 0.0, 1.0, -2.0, 1.
|
|
});
|
|
|
|
nd4j::ops::matrix_inverse op;
|
|
auto result = op.execute({&x}, {}, {}, {}, false, nd4j::DataType::FLOAT32);
|
|
|
|
ASSERT_EQ(ND4J_STATUS_OK, result->status());
|
|
|
|
auto z = result->at(0);
|
|
// z->printIndexedBuffer("Output ");
|
|
// exp.printIndexedBuffer("Expected ");
|
|
|
|
ASSERT_TRUE(exp.isSameShape(z));
|
|
ASSERT_TRUE(exp.equalsTo(z));
|
|
|
|
delete result;
|
|
}
|
|
|
|
|
|
////////////////////////////////////////////////////////////////////////////////
|
|
/*
|
|
TEST_F(DeclarableOpsTests6, MatrixInverse_2) {
|
|
|
|
auto x = NDArrayFactory::create<double>('c', {2, 5, 5}, {
|
|
1., 2., 30., 4., 5.,
|
|
0., 1., 2., 3., 4.,
|
|
0., 0., 1., 2., 3.,
|
|
0., 0., 0., 1., 2.,
|
|
0., 0., 0., 0., 1.,
|
|
|
|
4., 0., 0., 0., 0.,
|
|
4., 2., 0., 0., 0.,
|
|
30., 2., 1., 0., 0.,
|
|
8., 6., 4., 2., 0.,
|
|
15., 12., 9., 6., 3.,
|
|
});
|
|
|
|
auto exp = NDArrayFactory::create<double>('c', {2, 5, 5}, {
|
|
1.0, -2.0, -26.0, 54.0, -27.0,
|
|
0.0, 1.0, -2.0, 1.0, 0.0,
|
|
0.0, 0.0, 1.0, -2.0, 1.0,
|
|
0.0, 0.0, 0.0, 1.0, -2.0,
|
|
0.0, 0.0, 0.0, 0.0, 1.0,
|
|
|
|
0.25, 0.0, 0.0, 0.0, 0.0,
|
|
-0.50, 0.5, 0.0, 0.0, 0.0,
|
|
-6.50, -1.0, 1.0, 0.0, 0.0,
|
|
13.50, 0.5, -2.0, 0.5, 0.0,
|
|
-6.75, 0.0, 1.0, -1.0, 0.33333333
|
|
});
|
|
|
|
nd4j::ops::matrix_inverse op;
|
|
auto result = op.execute({&x}, {}, {});
|
|
|
|
ASSERT_EQ(ND4J_STATUS_OK, result->status());
|
|
|
|
auto z = result->at(0);
|
|
z->printIndexedBuffer("Output ");
|
|
exp.printIndexedBuffer("Expected ");
|
|
|
|
ASSERT_TRUE(exp.isSameShape(z));
|
|
ASSERT_TRUE(exp.equalsTo(z));
|
|
|
|
delete result;
|
|
}
|
|
*/
|
|
////////////////////////////////////////////////////////////////////////////////
|
|
TEST_F(DeclarableOpsTests6, MatrixInverse_3) {
|
|
|
|
auto x = NDArrayFactory::create<double>('c', {5, 5}, {
|
|
4., 0., 0., 0., 0.,
|
|
4., 2., 0., 0., 0.,
|
|
30., 2., 1., 0., 0.,
|
|
8., 6., 4., 2., 0.,
|
|
15., 12., 9., 6., 3.,
|
|
});
|
|
|
|
auto exp = NDArrayFactory::create<double>('c', {5, 5}, {
|
|
0.25, 0.0, 0.0, 0.0, 0.0,
|
|
-0.50, 0.5, 0.0, 0.0, 0.0,
|
|
-6.50, -1.0, 1.0, 0.0, 0.0,
|
|
13.50, 0.5, -2.0, 0.5, 0.0,
|
|
-6.75, 0.0, 1.0, -1.0, 0.33333333
|
|
});
|
|
|
|
nd4j::ops::matrix_inverse op;
|
|
auto result = op.execute({&x}, {}, {}, {}, false, nd4j::DataType::DOUBLE);
|
|
|
|
ASSERT_EQ(ND4J_STATUS_OK, result->status());
|
|
|
|
auto z = result->at(0);
|
|
//z->printIndexedBuffer("Output ");
|
|
//exp.printIndexedBuffer("Expected ");
|
|
|
|
ASSERT_TRUE(exp.isSameShape(z));
|
|
ASSERT_TRUE(exp.equalsTo(z));
|
|
|
|
delete result;
|
|
}
|
|
|
|
////////////////////////////////////////////////////////////////////////////////
|
|
TEST_F(DeclarableOpsTests6, MatrixInverse_4) {
|
|
|
|
auto x = NDArrayFactory::create<double>('c', {5, 5}, {
|
|
1., 2., 30., 4., 5.,
|
|
0., 1., 2., 3., 4.,
|
|
0., 0., 1., 2., 3.,
|
|
0., 0., 0., 1., 2.,
|
|
0., 0., 0., 0., 1.
|
|
});
|
|
|
|
auto exp = NDArrayFactory::create<double>('c', {5, 5}, {
|
|
1.0, -2.0, -26.0, 54.0, -27.0,
|
|
0.0, 1.0, -2.0, 1.0, 0.0,
|
|
0.0, 0.0, 1.0, -2.0, 1.0,
|
|
0.0, 0.0, 0.0, 1.0, -2.0,
|
|
0.0, 0.0, 0.0, 0.0, 1.0
|
|
});
|
|
|
|
nd4j::ops::matrix_inverse op;
|
|
auto result = op.execute({&x}, {}, {}, {}, false, nd4j::DataType::DOUBLE);
|
|
|
|
ASSERT_EQ(ND4J_STATUS_OK, result->status());
|
|
|
|
auto z = result->at(0);
|
|
//z->printIndexedBuffer("Output ");
|
|
//exp.printIndexedBuffer("Expected ");
|
|
|
|
ASSERT_TRUE(exp.isSameShape(z));
|
|
ASSERT_TRUE(exp.equalsTo(z));
|
|
|
|
delete result;
|
|
}
|
|
|
|
////////////////////////////////////////////////////////////////////////////////
|
|
TEST_F(DeclarableOpsTests6, ReluLayer_1) {
|
|
auto x = NDArrayFactory::create<double>('c', {3, 4}, {1.0, -2.0, 3.0, 4.0, 5.0, -6.0, 7.0, 8.0, 9.0, -10.0, 11.0, 12});
|
|
auto w = NDArrayFactory::create<double>('c', {4, 3}, {0.5, 0.1, 0.8, 0.5, 0.2, 0.5, 0.5, 0.25, 0.5, 0.1, 0.0, 0.25});
|
|
auto b = NDArrayFactory::create<double>({20.0, 30.0, 50.0});
|
|
|
|
|
|
|
|
auto exp = NDArrayFactory::create<double>('c', {3, 3}, {
|
|
21.4, 30.45, 52.3,
|
|
23.8, 31.05, 56.5,
|
|
26.2, 31.65, 60.7});
|
|
|
|
nd4j::ops::relu_layer op;
|
|
auto result = op.execute({&x, &w, &b}, {}, {}, {}, false, nd4j::DataType::DOUBLE);
|
|
|
|
ASSERT_EQ(ND4J_STATUS_OK, result->status());
|
|
|
|
auto z = result->at(0);
|
|
// z->printShapeInfo("Output shape");
|
|
// z->printIndexedBuffer("Output ");
|
|
// exp.printIndexedBuffer("Expected ");
|
|
|
|
ASSERT_TRUE(exp.isSameShape(z));
|
|
ASSERT_TRUE(exp.equalsTo(z));
|
|
|
|
delete result;
|
|
}
|
|
|
|
TEST_F(DeclarableOpsTests6, Test_Reduce3_Edge) {
|
|
auto x = NDArrayFactory::create<double>('c', {3, 4, 5});
|
|
auto y = NDArrayFactory::create<double>('c', {3, 4, 5});
|
|
|
|
|
|
std::vector<int> dims = {0, 1};
|
|
auto z = x.applyReduce3(reduce3::CosineSimilarity, &y, dims, nullptr);
|
|
ASSERT_TRUE(z != nullptr);
|
|
|
|
delete z;
|
|
}
|
|
|
|
///////////////////////////////////////////////////////////////////
|
|
TEST_F(DeclarableOpsTests6, static_rnn_test1) {
|
|
|
|
const int bS = 2;
|
|
const int inSize = 3;
|
|
const int numUnits = 4;
|
|
const int time = 5;
|
|
|
|
auto x = NDArrayFactory::create<double>('c', {time, bS, inSize});
|
|
auto Wx = NDArrayFactory::create<double>('c', {inSize, numUnits});
|
|
auto Wh = NDArrayFactory::create<double>('c', {numUnits, numUnits});
|
|
auto b = NDArrayFactory::create<double>('c', {2*numUnits});
|
|
auto h0 = NDArrayFactory::create<double>('c', {bS, numUnits});
|
|
auto maxTimeStep = NDArrayFactory::create<double>('c', {bS}, {time-1, time-3});
|
|
|
|
x.linspace(0.01, 0.01);
|
|
h0 = 0.2;
|
|
Wx = 0.3;
|
|
Wh = 0.4;
|
|
b = 0.25;
|
|
|
|
auto expH = NDArrayFactory::create<double>('c', {time, bS, numUnits}, {0.68474828, 0.68474828, 0.68474828, 0.68474828,0.69882484, 0.69882484, 0.69882484, 0.69882484, 0.9312333 , 0.9312333 , 0.9312333 , 0.9312333 ,
|
|
0.93751527, 0.93751527, 0.93751527, 0.93751527,0.97136768, 0.97136768, 0.97136768, 0.97136768,0., 0., 0., 0. ,
|
|
0.97732812, 0.97732812, 0.97732812, 0.97732812,0., 0., 0., 0. ,0., 0., 0., 0.,0., 0., 0., 0.});
|
|
|
|
auto expHFinal = NDArrayFactory::create<double>('c', {bS, numUnits}, {0.97732812, 0.97732812, 0.97732812, 0.97732812, 0.93751527, 0.93751527, 0.93751527, 0.93751527});
|
|
|
|
nd4j::ops::static_rnn op;
|
|
auto results = op.execute({&x, &Wx, &Wh, &b, &h0, &maxTimeStep}, {}, {});
|
|
|
|
ASSERT_EQ(ND4J_STATUS_OK, results->status());
|
|
|
|
auto h = results->at(0);
|
|
auto hFinal = results->at(1);
|
|
|
|
ASSERT_TRUE(expH.isSameShape(h));
|
|
ASSERT_TRUE(expH.equalsTo(h));
|
|
ASSERT_TRUE(expHFinal.isSameShape(hFinal));
|
|
ASSERT_TRUE(expHFinal.equalsTo(hFinal));
|
|
|
|
delete results;
|
|
}
|
|
|
|
///////////////////////////////////////////////////////////////////
|
|
TEST_F(DeclarableOpsTests6, static_rnn_test2) {
|
|
|
|
const int bS = 2;
|
|
const int inSize = 3;
|
|
const int numUnits = 4;
|
|
const int time = 5;
|
|
|
|
auto x = NDArrayFactory::create<double>('c', {time, bS, inSize});
|
|
auto Wx = NDArrayFactory::create<double>('c', {inSize, numUnits});
|
|
auto Wh = NDArrayFactory::create<double>('c', {numUnits, numUnits});
|
|
auto b = NDArrayFactory::create<double>('c', {2*numUnits});
|
|
auto h0 = NDArrayFactory::create<double>('c', {bS, numUnits});
|
|
|
|
x.linspace(0.01, 0.01);
|
|
h0 = 0.2;
|
|
Wx = 0.3;
|
|
Wh = 0.4;
|
|
b = 0.25;
|
|
|
|
auto expH = NDArrayFactory::create<double>('c', {time, bS, numUnits}, {0.68474828, 0.68474828, 0.68474828, 0.68474828,0.69882484, 0.69882484, 0.69882484, 0.69882484,0.9312333 , 0.9312333 , 0.9312333 , 0.9312333,
|
|
0.93751527, 0.93751527, 0.93751527, 0.93751527,0.97136768, 0.97136768, 0.97136768, 0.97136768,0.97338548, 0.97338548, 0.97338548, 0.97338548,
|
|
0.97732812, 0.97732812, 0.97732812, 0.97732812,0.97864398, 0.97864398, 0.97864398, 0.97864398,0.98000654, 0.98000654, 0.98000654, 0.98000654,
|
|
0.98112648, 0.98112648, 0.98112648, 0.98112648});
|
|
|
|
auto expHFinal = NDArrayFactory::create<double>('c', {bS, numUnits}, {0.98000654, 0.98000654, 0.98000654, 0.98000654,0.98112648, 0.98112648, 0.98112648, 0.98112648});
|
|
|
|
nd4j::ops::static_rnn op;
|
|
auto results = op.execute({&x, &Wx, &Wh, &b, &h0}, {}, {});
|
|
|
|
ASSERT_EQ(ND4J_STATUS_OK, results->status());
|
|
|
|
auto h = results->at(0);
|
|
auto hFinal = results->at(1);
|
|
|
|
ASSERT_TRUE(expH.isSameShape(h));
|
|
ASSERT_TRUE(expH.equalsTo(h));
|
|
ASSERT_TRUE(expHFinal.isSameShape(hFinal));
|
|
ASSERT_TRUE(expHFinal.equalsTo(hFinal));
|
|
|
|
delete results;
|
|
}
|
|
|
|
///////////////////////////////////////////////////////////////////
|
|
TEST_F(DeclarableOpsTests6, static_rnn_test3) {
|
|
|
|
const int bS = 2;
|
|
const int inSize = 3;
|
|
const int numUnits = 4;
|
|
const int time = 5;
|
|
|
|
auto x = NDArrayFactory::create<double>('c', {time, bS, inSize});
|
|
auto Wx = NDArrayFactory::create<double>('c', {inSize, numUnits});
|
|
auto Wh = NDArrayFactory::create<double>('c', {numUnits, numUnits});
|
|
auto b = NDArrayFactory::create<double>('c', {2*numUnits});
|
|
auto h0 = NDArrayFactory::create<double>('c', {bS, numUnits});
|
|
auto maxTimeStep = NDArrayFactory::create<double>('c', {bS}, {time-1, 0});
|
|
|
|
x.linspace(0.01, 0.01);
|
|
h0 = 0.2;
|
|
Wx = 0.3;
|
|
Wh = 0.4;
|
|
b = 0.25;
|
|
|
|
auto expH = NDArrayFactory::create<double>('c', {time, bS, numUnits}, {0.68474828, 0.68474828, 0.68474828, 0.68474828,0., 0., 0., 0., 0.9312333, 0.9312333, 0.9312333, 0.9312333,
|
|
0., 0., 0., 0. , 0.97136768, 0.97136768, 0.97136768, 0.97136768,0., 0., 0., 0. ,
|
|
0.97732812, 0.97732812, 0.97732812, 0.97732812,0., 0., 0., 0., 0., 0., 0., 0.,0., 0., 0., 0.});
|
|
|
|
auto expHFinal = NDArrayFactory::create<double>('c', {bS, numUnits}, {0.97732812, 0.97732812, 0.97732812, 0.97732812, 0.2 , 0.2 , 0.2 , 0.2});
|
|
|
|
nd4j::ops::static_rnn op;
|
|
auto results = op.execute({&x, &Wx, &Wh, &b, &h0, &maxTimeStep}, {}, {});
|
|
|
|
ASSERT_EQ(ND4J_STATUS_OK, results->status());
|
|
|
|
auto h = results->at(0);
|
|
auto hFinal = results->at(1);
|
|
|
|
ASSERT_TRUE(expH.isSameShape(h));
|
|
ASSERT_TRUE(expH.equalsTo(h));
|
|
ASSERT_TRUE(expHFinal.isSameShape(hFinal));
|
|
ASSERT_TRUE(expHFinal.equalsTo(hFinal));
|
|
|
|
delete results;
|
|
}
|
|
|
|
///////////////////////////////////////////////////////////////////
|
|
TEST_F(DeclarableOpsTests6, static_rnn_test4) {
|
|
|
|
const int bS = 2;
|
|
const int inSize = 3;
|
|
const int numUnits = 4;
|
|
const int time = 5;
|
|
|
|
auto x = NDArrayFactory::create<double>('c', {time, bS, inSize});
|
|
auto Wx = NDArrayFactory::create<double>('c', {inSize, numUnits});
|
|
auto Wh = NDArrayFactory::create<double>('c', {numUnits, numUnits});
|
|
auto b = NDArrayFactory::create<double>('c', {2*numUnits});
|
|
auto h0 = NDArrayFactory::create<double>('c', {bS, numUnits});
|
|
auto maxTimeStep = NDArrayFactory::create<double>('c', {bS}, {time-1, time-3});
|
|
|
|
x.linspace(0.01, 0.01);
|
|
Wx = 0.3;
|
|
Wh = 0.4;
|
|
b = 0.25;
|
|
|
|
auto expH = NDArrayFactory::create<double>('c', {time, bS, numUnits}, {0.47615493, 0.47615493, 0.47615493, 0.47615493,0.49676344, 0.49676344, 0.49676344, 0.49676344, 0.87018664, 0.87018664, 0.87018664, 0.87018664,
|
|
0.88400882, 0.88400882, 0.88400882, 0.88400882, 0.96529784, 0.96529784, 0.96529784, 0.96529784,0., 0., 0., 0. ,
|
|
0.97688859, 0.97688859, 0.97688859, 0.97688859,0., 0., 0., 0., 0., 0., 0., 0.,0., 0., 0., 0.});
|
|
|
|
auto expHFinal = NDArrayFactory::create<double>('c', {bS, numUnits}, {0.97688859, 0.97688859, 0.97688859, 0.97688859, 0.88400882, 0.88400882, 0.88400882, 0.88400882});
|
|
|
|
nd4j::ops::static_rnn op;
|
|
auto results = op.execute({&x, &Wx, &Wh, &b, &maxTimeStep}, {}, {});
|
|
|
|
ASSERT_EQ(ND4J_STATUS_OK, results->status());
|
|
|
|
auto h = results->at(0);
|
|
auto hFinal = results->at(1);
|
|
|
|
ASSERT_TRUE(expH.isSameShape(h));
|
|
ASSERT_TRUE(expH.equalsTo(h));
|
|
ASSERT_TRUE(expHFinal.isSameShape(hFinal));
|
|
ASSERT_TRUE(expHFinal.equalsTo(hFinal));
|
|
|
|
delete results;
|
|
}
|
|
|
|
///////////////////////////////////////////////////////////////////
|
|
TEST_F(DeclarableOpsTests6, static_rnn_test5) {
|
|
|
|
const int bS = 2;
|
|
const int inSize = 3;
|
|
const int numUnits = 4;
|
|
const int time = 5;
|
|
|
|
auto x = NDArrayFactory::create<double>('c', {time, bS, inSize});
|
|
auto Wx = NDArrayFactory::create<double>('c', {inSize, numUnits});
|
|
auto Wh = NDArrayFactory::create<double>('c', {numUnits, numUnits});
|
|
auto b = NDArrayFactory::create<double>('c', {2*numUnits});
|
|
auto h0 = NDArrayFactory::create<double>('c', {bS, numUnits});
|
|
|
|
x.linspace(0.01, 0.01);
|
|
Wx = 0.3;
|
|
Wh = 0.4;
|
|
b = 0.25;
|
|
|
|
auto expH = NDArrayFactory::create<double>('c', {time, bS, numUnits}, {0.47615493, 0.47615493, 0.47615493, 0.47615493,0.49676344, 0.49676344, 0.49676344, 0.49676344, 0.87018664, 0.87018664, 0.87018664, 0.87018664,
|
|
0.88400882, 0.88400882, 0.88400882, 0.88400882, 0.96529784, 0.96529784, 0.96529784, 0.96529784,0.96849345, 0.96849345, 0.96849345, 0.96849345,
|
|
0.97688859, 0.97688859, 0.97688859, 0.97688859,0.97831069, 0.97831069, 0.97831069, 0.97831069, 0.97997868, 0.97997868, 0.97997868, 0.97997868,
|
|
0.98110653, 0.98110653, 0.98110653, 0.98110653});
|
|
|
|
auto expHFinal = NDArrayFactory::create<double>('c', {bS, numUnits}, {0.97997868, 0.97997868, 0.97997868, 0.97997868, 0.98110653, 0.98110653, 0.98110653, 0.98110653});
|
|
|
|
nd4j::ops::static_rnn op;
|
|
auto results = op.execute({&x, &Wx, &Wh, &b}, {}, {});
|
|
|
|
ASSERT_EQ(ND4J_STATUS_OK, results->status());
|
|
|
|
auto h = results->at(0);
|
|
auto hFinal = results->at(1);
|
|
|
|
ASSERT_TRUE(expH.isSameShape(h));
|
|
ASSERT_TRUE(expH.equalsTo(h));
|
|
ASSERT_TRUE(expHFinal.isSameShape(hFinal));
|
|
ASSERT_TRUE(expHFinal.equalsTo(hFinal));
|
|
|
|
delete results;
|
|
}
|
|
|
|
///////////////////////////////////////////////////////////////////
|
|
TEST_F(DeclarableOpsTests6, static_bidir_rnn_test1) {
|
|
|
|
const int bS = 4;
|
|
const int inSize = 4;
|
|
const int numUnitsFW = 3;
|
|
const int numUnitsBW = 3;
|
|
const int time = 5;
|
|
|
|
auto x = NDArrayFactory::create<double>('c', {time, bS, inSize});
|
|
auto WxFW = NDArrayFactory::create<double>('c', {inSize, numUnitsFW});
|
|
auto WhFW = NDArrayFactory::create<double>('c', {numUnitsFW, numUnitsFW});
|
|
auto bFW = NDArrayFactory::create<double>('c', {2*numUnitsFW});
|
|
|
|
auto h0FW = NDArrayFactory::create<double>('c', {bS, numUnitsFW});
|
|
auto h0BW = NDArrayFactory::create<double>('c', {bS, numUnitsBW});
|
|
auto maxTimeStep = NDArrayFactory::create<double>('c', {bS}, {time-1, time-3, time-4, 0});
|
|
|
|
x.linspace(0.01, 0.01);
|
|
h0FW = 0.2;
|
|
h0BW = 0.25;
|
|
WxFW = 0.3;
|
|
WhFW = 0.4;
|
|
bFW = 0.1;
|
|
|
|
auto expH = NDArrayFactory::create<double>('c', {time, bS, numUnitsFW+numUnitsBW}, {0.43819931, 0.43819931, 0.43819931, 0.86708881, 0.86708881,0.86708881,0.47615493, 0.47615493, 0.47615493, 0.78347842, 0.78347842,0.78347842,
|
|
0.51241561, 0.51241561, 0.51241561, 0.55529176, 0.55529176,0.55529176,0., 0., 0., 0., 0.,0.,0.73880324, 0.73880324, 0.73880324, 0.90935605, 0.90935605,
|
|
0.90935605, 0.77843476, 0.77843476, 0.77843476, 0.64692945, 0.64692945,0.64692945,0., 0., 0., 0., 0.,0.,0., 0., 0., 0., 0.,0.,
|
|
0.9052501, 0.9052501, 0.9052501, 0.9181592, 0.9181592, 0.9181592,0., 0., 0., 0., 0., 0.,0., 0., 0., 0., 0., 0.,0., 0., 0., 0., 0., 0.,
|
|
0.9555734, 0.9555734, 0.9555734, 0.8026439, 0.8026439, 0.8026439,0., 0., 0., 0., 0., 0.,0., 0., 0., 0., 0., 0.,0., 0., 0., 0., 0., 0.,
|
|
0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.});
|
|
|
|
auto expHFWfinal = NDArrayFactory::create<double>('c', {bS, numUnitsFW}, {0.9555734 , 0.9555734 , 0.9555734 , 0.77843476, 0.77843476, 0.77843476, 0.51241561, 0.51241561, 0.51241561, 0.2, 0.2, 0.2});
|
|
auto expHBWfinal = NDArrayFactory::create<double>('c', {bS, numUnitsBW}, {0.86708881, 0.86708881, 0.86708881, 0.78347842, 0.78347842, 0.78347842, 0.55529176, 0.55529176, 0.55529176, 0.25, 0.25, 0.25});
|
|
|
|
nd4j::ops::static_bidirectional_rnn op;
|
|
auto results = op.execute({&x, &WxFW,&WhFW,&bFW, &WxFW,&WhFW,&bFW, &h0FW, &h0BW, &maxTimeStep}, {}, {});
|
|
|
|
ASSERT_EQ(ND4J_STATUS_OK, results->status());
|
|
|
|
auto h = results->at(0);
|
|
auto hFWfinal = results->at(1);
|
|
auto hBWfinal = results->at(2);
|
|
|
|
ASSERT_TRUE(expH.isSameShape(h));
|
|
ASSERT_TRUE(expH.equalsTo(h));
|
|
ASSERT_TRUE(expHFWfinal.isSameShape(hFWfinal));
|
|
ASSERT_TRUE(expHFWfinal.equalsTo(hFWfinal));
|
|
ASSERT_TRUE(expHBWfinal.isSameShape(hBWfinal));
|
|
ASSERT_TRUE(expHBWfinal.equalsTo(hBWfinal));
|
|
|
|
delete results;
|
|
}
|
|
|
|
///////////////////////////////////////////////////////////////////
|
|
TEST_F(DeclarableOpsTests6, static_bidir_rnn_test2) {
|
|
|
|
const int bS = 4;
|
|
const int inSize = 4;
|
|
const int numUnitsFW = 3;
|
|
const int numUnitsBW = 3;
|
|
const int time = 5;
|
|
|
|
auto x = NDArrayFactory::create<double>('c', {time, bS, inSize});
|
|
auto WxFW = NDArrayFactory::create<double>('c', {inSize, numUnitsFW});
|
|
auto WhFW = NDArrayFactory::create<double>('c', {numUnitsFW, numUnitsFW});
|
|
auto bFW = NDArrayFactory::create<double>('c', {2*numUnitsFW});
|
|
|
|
auto maxTimeStep = NDArrayFactory::create<double>('c', {bS}, {time-1, time-3, time-4, 0});
|
|
|
|
x.linspace(0.01, 0.01);
|
|
WxFW = 0.3;
|
|
WhFW = 0.4;
|
|
bFW = 0.1;
|
|
|
|
auto expH = NDArrayFactory::create<double>('c', {time, bS, numUnitsFW+numUnitsBW}, {0.22602835, 0.22602835, 0.22602835, 0.86518273, 0.86518273,0.86518273,0.27105303, 0.27105303, 0.27105303, 0.66617761, 0.66617761,0.66617761,
|
|
0.31492203, 0.31492203, 0.31492203, 0.31492203, 0.31492203,0.31492203,0. , 0. , 0. , 0. , 0. ,0. ,
|
|
0.60005558, 0.60005558, 0.60005558, 0.9029975 , 0.9029975 ,0.9029975 ,0.66138054, 0.66138054, 0.66138054, 0.43819931, 0.43819931,0.43819931,
|
|
0. , 0. , 0. , 0. , 0. ,0. ,0. , 0. , 0. , 0. , 0. ,0. ,
|
|
0.87023975, 0.87023975, 0.87023975, 0.88852032, 0.88852032,0.88852032,0. , 0. , 0. , 0. , 0. ,0. ,
|
|
0. , 0. , 0. , 0. , 0. ,0. ,0. , 0. , 0. , 0. , 0. ,0. ,
|
|
0.95177305, 0.95177305, 0.95177305, 0.66737775, 0.66737775,0.66737775,0. , 0. , 0. , 0. , 0. ,0. ,
|
|
0. , 0. , 0. , 0. , 0. ,0. ,0. , 0. , 0. , 0. , 0. ,0. ,
|
|
0., 0., 0., 0., 0., 0.,0., 0., 0., 0., 0., 0.,0., 0., 0., 0., 0., 0.,0., 0., 0., 0., 0., 0.});
|
|
|
|
auto expHFWfinal = NDArrayFactory::create<double>('c', {bS, numUnitsFW}, {0.95177305, 0.95177305, 0.95177305, 0.66138054, 0.66138054, 0.66138054, 0.31492203, 0.31492203, 0.31492203, 0. , 0. , 0.});
|
|
auto expHBWfinal = NDArrayFactory::create<double>('c', {bS, numUnitsBW}, {0.86518273, 0.86518273, 0.86518273, 0.66617761, 0.66617761, 0.66617761, 0.31492203, 0.31492203, 0.31492203, 0. , 0. , 0.});
|
|
|
|
nd4j::ops::static_bidirectional_rnn op;
|
|
auto results = op.execute({&x, &WxFW,&WhFW,&bFW, &WxFW,&WhFW,&bFW, &maxTimeStep}, {}, {});
|
|
|
|
ASSERT_EQ(ND4J_STATUS_OK, results->status());
|
|
|
|
auto h = results->at(0);
|
|
auto hFWfinal = results->at(1);
|
|
auto hBWfinal = results->at(2);
|
|
|
|
ASSERT_TRUE(expH.isSameShape(h));
|
|
ASSERT_TRUE(expH.equalsTo(h));
|
|
ASSERT_TRUE(expHFWfinal.isSameShape(hFWfinal));
|
|
ASSERT_TRUE(expHFWfinal.equalsTo(hFWfinal));
|
|
ASSERT_TRUE(expHBWfinal.isSameShape(hBWfinal));
|
|
ASSERT_TRUE(expHBWfinal.equalsTo(hBWfinal));
|
|
|
|
delete results;
|
|
}
|
|
|
|
|
|
///////////////////////////////////////////////////////////////////
|
|
TEST_F(DeclarableOpsTests6, static_bidir_rnn_test3) {
|
|
|
|
const int bS = 4;
|
|
const int inSize = 4;
|
|
const int numUnitsFW = 3;
|
|
const int numUnitsBW = 3;
|
|
const int time = 5;
|
|
|
|
auto x = NDArrayFactory::create<double>('c', {time, bS, inSize});
|
|
auto WxFW = NDArrayFactory::create<double>('c', {inSize, numUnitsFW});
|
|
auto WhFW = NDArrayFactory::create<double>('c', {numUnitsFW, numUnitsFW});
|
|
auto bFW = NDArrayFactory::create<double>('c', {2*numUnitsFW});
|
|
|
|
x.linspace(0.01, 0.01);
|
|
WxFW = 0.3;
|
|
WhFW = 0.4;
|
|
bFW = 0.1;
|
|
|
|
auto expH = NDArrayFactory::create<double>('c', {time, bS, numUnitsFW+numUnitsBW}, {0.22602835, 0.22602835, 0.22602835, 0.86841012, 0.86841012,0.86841012,0.27105303, 0.27105303, 0.27105303, 0.88207531, 0.88207531,0.88207531,
|
|
0.31492203, 0.31492203, 0.31492203, 0.8941667 , 0.8941667 ,0.8941667 ,0.35748551, 0.35748551, 0.35748551, 0.90489713, 0.90489713,
|
|
0.90489713, 0.60005558, 0.60005558, 0.60005558, 0.91381375, 0.91381375,0.91381375,0.66138054, 0.66138054, 0.66138054, 0.92253504, 0.92253504,
|
|
0.92253504,0.71429879, 0.71429879, 0.71429879, 0.93027876, 0.93027876,0.93027876,0.75947891, 0.75947891, 0.75947891, 0.9371767 , 0.9371767 ,
|
|
0.9371767 , 0.87023975, 0.87023975, 0.87023975, 0.94014274, 0.94014274,0.94014274,0.89680574, 0.89680574, 0.89680574, 0.94648926, 0.94648926,
|
|
0.94648926,0.91657261, 0.91657261, 0.91657261, 0.95204779, 0.95204779,0.95204779,0.93146896, 0.93146896, 0.93146896, 0.95694206, 0.95694206,
|
|
0.95694206, 0.95177305, 0.95177305, 0.95177305, 0.93773086, 0.93773086,0.93773086,0.95874689, 0.95874689, 0.95874689, 0.94579176, 0.94579176,
|
|
0.94579176,0.96416067, 0.96416067, 0.96416067, 0.95267886, 0.95267886,0.95267886,0.96851506, 0.96851506, 0.96851506, 0.95857985, 0.95857985,
|
|
0.95857985, 0.97269956, 0.97269956, 0.97269956, 0.76075293, 0.76075293,0.76075293,0.97557464, 0.97557464, 0.97557464, 0.78024637, 0.78024637,
|
|
0.78024637,0.97806922, 0.97806922, 0.97806922, 0.79833344, 0.79833344,0.79833344,0.98026195, 0.98026195, 0.98026195, 0.81508646, 0.81508646,0.81508646});
|
|
|
|
auto expHFWfinal = NDArrayFactory::create<double>('c', {bS, numUnitsFW}, {0.97269956, 0.97269956, 0.97269956, 0.97557464, 0.97557464, 0.97557464, 0.97806922, 0.97806922, 0.97806922, 0.98026195, 0.98026195, 0.98026195});
|
|
auto expHBWfinal = NDArrayFactory::create<double>('c', {bS, numUnitsBW}, {0.86841012, 0.86841012, 0.86841012, 0.88207531, 0.88207531, 0.88207531, 0.8941667 , 0.8941667 , 0.8941667 , 0.90489713, 0.90489713, 0.90489713});
|
|
|
|
nd4j::ops::static_bidirectional_rnn op;
|
|
auto results = op.execute({&x, &WxFW,&WhFW,&bFW, &WxFW,&WhFW,&bFW}, {}, {});
|
|
|
|
ASSERT_EQ(ND4J_STATUS_OK, results->status());
|
|
|
|
auto h = results->at(0);
|
|
auto hFWfinal = results->at(1);
|
|
auto hBWfinal = results->at(2);
|
|
|
|
ASSERT_TRUE(expH.isSameShape(h));
|
|
ASSERT_TRUE(expH.equalsTo(h));
|
|
ASSERT_TRUE(expHFWfinal.isSameShape(hFWfinal));
|
|
ASSERT_TRUE(expHFWfinal.equalsTo(hFWfinal));
|
|
ASSERT_TRUE(expHBWfinal.isSameShape(hBWfinal));
|
|
ASSERT_TRUE(expHBWfinal.equalsTo(hBWfinal));
|
|
|
|
delete results;
|
|
}
|
|
|
|
///////////////////////////////////////////////////////////////////
|
|
TEST_F(DeclarableOpsTests6, dynamic_rnn_test1) {
|
|
|
|
const int bS = 2;
|
|
const int inSize = 3;
|
|
const int numUnits = 4;
|
|
const int time = 5;
|
|
|
|
auto x = NDArrayFactory::create<double>('c', {time, bS, inSize});
|
|
auto Wx = NDArrayFactory::create<double>('c', {inSize, numUnits});
|
|
auto Wh = NDArrayFactory::create<double>('c', {numUnits, numUnits});
|
|
auto b = NDArrayFactory::create<double>('c', {2*numUnits});
|
|
auto h0 = NDArrayFactory::create<double>('c', {bS, numUnits});
|
|
auto maxTimeStep = NDArrayFactory::create<Nd4jLong>('c', {bS}, {time-1, time-3});
|
|
|
|
x.linspace(0.01, 0.01);
|
|
h0 = 0.2;
|
|
Wx = 0.3;
|
|
Wh = 0.4;
|
|
b = 0.25;
|
|
|
|
auto expH = NDArrayFactory::create<double>('c', {time, bS, numUnits}, {0.68474828, 0.68474828, 0.68474828, 0.68474828,0.69882484, 0.69882484, 0.69882484, 0.69882484,0.9312333 , 0.9312333 , 0.9312333 , 0.9312333 ,
|
|
0.93751527, 0.93751527, 0.93751527, 0.93751527,0.97136768, 0.97136768, 0.97136768, 0.97136768,0. , 0. , 0. , 0. ,
|
|
0.97732812, 0.97732812, 0.97732812, 0.97732812,0. , 0. , 0. , 0. ,0. , 0. , 0. , 0. ,0. , 0. , 0. , 0. });
|
|
|
|
auto expHFinal = NDArrayFactory::create<double>('c', {bS, numUnits}, {0.97732812, 0.97732812, 0.97732812, 0.97732812, 0.93751527, 0.93751527, 0.93751527, 0.93751527});
|
|
|
|
nd4j::ops::dynamic_rnn op;
|
|
auto results = op.execute({&x, &Wx, &Wh, &b, &h0, &maxTimeStep}, {}, {1});
|
|
|
|
ASSERT_EQ(ND4J_STATUS_OK, results->status());
|
|
|
|
auto h = results->at(0);
|
|
auto hFinal = results->at(1);
|
|
|
|
ASSERT_TRUE(expH.isSameShape(h));
|
|
ASSERT_TRUE(expH.equalsTo(h));
|
|
ASSERT_TRUE(expHFinal.isSameShape(hFinal));
|
|
ASSERT_TRUE(expHFinal.equalsTo(hFinal));
|
|
|
|
delete results;
|
|
}
|
|
|
|
|
|
///////////////////////////////////////////////////////////////////
|
|
TEST_F(DeclarableOpsTests6, dynamic_rnn_test2) {
|
|
|
|
const int bS = 2;
|
|
const int inSize = 3;
|
|
const int numUnits = 4;
|
|
const int time = 5;
|
|
|
|
auto x = NDArrayFactory::create<double>('c', {bS, time, inSize});
|
|
auto Wx = NDArrayFactory::create<double>('c', {inSize, numUnits});
|
|
auto Wh = NDArrayFactory::create<double>('c', {numUnits, numUnits});
|
|
auto b = NDArrayFactory::create<double>('c', {2*numUnits});
|
|
auto h0 = NDArrayFactory::create<double>('c', {bS, numUnits});
|
|
auto maxTimeStep = NDArrayFactory::create<int>('c', {bS}, {time-1, time});
|
|
|
|
x.linspace(0.01, 0.01);
|
|
h0 = 0.2;
|
|
Wx = 0.3;
|
|
Wh = 0.4;
|
|
b = 0.25;
|
|
|
|
auto expH = NDArrayFactory::create<double>('c', {bS, time, numUnits}, {0.68474828, 0.68474828, 0.68474828, 0.68474828,0.92755601, 0.92755601, 0.92755601, 0.92755601,0.96778334, 0.96778334, 0.96778334,
|
|
0.96778334,0.97309129, 0.97309129, 0.97309129, 0.97309129,0. , 0. , 0. , 0. ,
|
|
0.75001965, 0.75001965, 0.75001965, 0.75001965,0.95449491, 0.95449491, 0.95449491, 0.95449491,0.97732828, 0.97732828, 0.97732828,
|
|
0.97732828,0.98000655, 0.98000655, 0.98000655, 0.98000655,0.98120782, 0.98120782, 0.98120782, 0.98120782});
|
|
|
|
auto expHFinal = NDArrayFactory::create<double>('c', {bS, numUnits}, {0.97309129, 0.97309129, 0.97309129, 0.97309129, 0.98120782, 0.98120782, 0.98120782, 0.98120782});
|
|
|
|
nd4j::ops::dynamic_rnn op;
|
|
auto results = op.execute({&x, &Wx, &Wh, &b, &h0, &maxTimeStep}, {}, {});
|
|
|
|
ASSERT_EQ(ND4J_STATUS_OK, results->status());
|
|
|
|
auto h = results->at(0);
|
|
auto hFinal = results->at(1);
|
|
|
|
ASSERT_TRUE(expH.isSameShape(h));
|
|
ASSERT_TRUE(expH.equalsTo(h));
|
|
ASSERT_TRUE(expHFinal.isSameShape(hFinal));
|
|
ASSERT_TRUE(expHFinal.equalsTo(hFinal));
|
|
|
|
delete results;
|
|
}
|
|
|
|
///////////////////////////////////////////////////////////////////
|
|
TEST_F(DeclarableOpsTests6, dynamic_rnn_test3) {
|
|
|
|
const int bS = 2;
|
|
const int inSize = 3;
|
|
const int numUnits = 4;
|
|
const int time = 5;
|
|
|
|
auto x = NDArrayFactory::create<double>('c', {bS, time, inSize});
|
|
auto Wx = NDArrayFactory::create<double>('c', {inSize, numUnits});
|
|
auto Wh = NDArrayFactory::create<double>('c', {numUnits, numUnits});
|
|
auto b = NDArrayFactory::create<double>('c', {2*numUnits});
|
|
auto h0 = NDArrayFactory::create<double>('c', {bS, numUnits});
|
|
|
|
x.linspace(0.01, 0.01);
|
|
h0 = 0.2;
|
|
Wx = 0.3;
|
|
Wh = 0.4;
|
|
b = 0.25;
|
|
|
|
auto expH = NDArrayFactory::create<double>('c', {bS, time, numUnits}, {0.68474828, 0.68474828, 0.68474828, 0.68474828,0.92755601, 0.92755601, 0.92755601, 0.92755601,0.96778334, 0.96778334, 0.96778334, 0.96778334,0.97309129,
|
|
0.97309129, 0.97309129, 0.97309129,0.97491207, 0.97491207, 0.97491207, 0.97491207,0.75001965, 0.75001965, 0.75001965, 0.75001965,0.95449491, 0.95449491,
|
|
0.95449491, 0.95449491,0.97732828, 0.97732828, 0.97732828, 0.97732828,0.98000655, 0.98000655, 0.98000655, 0.98000655,0.98120782, 0.98120782, 0.98120782, 0.98120782});
|
|
|
|
auto expHFinal = NDArrayFactory::create<double>('c', {bS, numUnits}, {0.97491207, 0.97491207, 0.97491207, 0.97491207, 0.98120782, 0.98120782, 0.98120782, 0.98120782});
|
|
|
|
nd4j::ops::dynamic_rnn op;
|
|
auto results = op.execute({&x, &Wx, &Wh, &b, &h0}, {}, {});
|
|
|
|
ASSERT_EQ(ND4J_STATUS_OK, results->status());
|
|
|
|
auto h = results->at(0);
|
|
auto hFinal = results->at(1);
|
|
|
|
ASSERT_TRUE(expH.isSameShape(h));
|
|
ASSERT_TRUE(expH.equalsTo(h));
|
|
ASSERT_TRUE(expHFinal.isSameShape(hFinal));
|
|
ASSERT_TRUE(expHFinal.equalsTo(hFinal));
|
|
|
|
delete results;
|
|
}
|
|
|
|
///////////////////////////////////////////////////////////////////
|
|
TEST_F(DeclarableOpsTests6, dynamic_rnn_test4) {
|
|
|
|
const int bS = 2;
|
|
const int inSize = 3;
|
|
const int numUnits = 4;
|
|
const int time = 5;
|
|
|
|
auto x = NDArrayFactory::create<double>('c', {bS, time, inSize});
|
|
auto Wx = NDArrayFactory::create<double>('c', {inSize, numUnits});
|
|
auto Wh = NDArrayFactory::create<double>('c', {numUnits, numUnits});
|
|
auto b = NDArrayFactory::create<double>('c', {2*numUnits});
|
|
auto maxTimeStep = NDArrayFactory::create<double>('c', {bS}, {time-1, time-4});
|
|
|
|
x.linspace(0.01, 0.01);
|
|
Wx = 0.3;
|
|
Wh = 0.4;
|
|
b = 0.25;
|
|
|
|
auto expH = NDArrayFactory::create<double>('c', {bS, time, numUnits}, {0.47615493, 0.47615493, 0.47615493, 0.47615493,0.86347567, 0.86347567, 0.86347567, 0.86347567,0.96059545, 0.96059545,
|
|
0.96059545, 0.96059545,0.9724738 , 0.9724738 , 0.9724738 , 0.9724738 ,0. , 0. , 0. , 0. ,
|
|
0.57368608, 0.57368608, 0.57368608, 0.57368608,0. , 0. , 0 , 0. ,0., 0. , 0, 0.,0., 0., 0. , 0. ,0. , 0. , 0., 0. });
|
|
|
|
auto expHFinal = NDArrayFactory::create<double>('c', {bS, numUnits}, {0.9724738 , 0.9724738 , 0.9724738 , 0.9724738 ,0.57368608, 0.57368608, 0.57368608, 0.57368608});
|
|
|
|
nd4j::ops::dynamic_rnn op;
|
|
auto results = op.execute({&x, &Wx, &Wh, &b, &maxTimeStep}, {}, {});
|
|
|
|
ASSERT_EQ(ND4J_STATUS_OK, results->status());
|
|
|
|
auto h = results->at(0);
|
|
auto hFinal = results->at(1);
|
|
|
|
ASSERT_TRUE(expH.isSameShape(h));
|
|
ASSERT_TRUE(expH.equalsTo(h));
|
|
ASSERT_TRUE(expHFinal.isSameShape(hFinal));
|
|
ASSERT_TRUE(expHFinal.equalsTo(hFinal));
|
|
|
|
delete results;
|
|
}
|
|
|
|
///////////////////////////////////////////////////////////////////
|
|
TEST_F(DeclarableOpsTests6, dynamic_rnn_test5) {
|
|
|
|
const int bS = 2;
|
|
const int inSize = 3;
|
|
const int numUnits = 4;
|
|
const int time = 5;
|
|
|
|
auto x = NDArrayFactory::create<double>('c', {bS, time, inSize});
|
|
auto Wx = NDArrayFactory::create<double>('c', {inSize, numUnits});
|
|
auto Wh = NDArrayFactory::create<double>('c', {numUnits, numUnits});
|
|
auto b = NDArrayFactory::create<double>('c', {2*numUnits});
|
|
|
|
x.linspace(0.01, 0.01);
|
|
Wx = 0.3;
|
|
Wh = 0.4;
|
|
b = 0.25;
|
|
|
|
auto expH = NDArrayFactory::create<double>('c', {bS, time, numUnits}, {0.47615493, 0.47615493, 0.47615493, 0.47615493,0.86347567, 0.86347567, 0.86347567, 0.86347567,0.96059545, 0.96059545, 0.96059545, 0.96059545,
|
|
0.9724738 , 0.9724738 , 0.9724738 , 0.9724738 ,0.97486307, 0.97486307, 0.97486307, 0.97486307,0.57368608, 0.57368608, 0.57368608, 0.57368608,
|
|
0.92135149, 0.92135149, 0.92135149, 0.92135149,0.97482354, 0.97482354, 0.97482354, 0.97482354,0.97984727, 0.97984727, 0.97984727, 0.97984727,
|
|
0.98119833, 0.98119833, 0.98119833, 0.98119833});
|
|
|
|
auto expHFinal = NDArrayFactory::create<double>('c', {bS, numUnits}, {0.97486307, 0.97486307, 0.97486307, 0.97486307,0.98119833, 0.98119833, 0.98119833, 0.98119833});
|
|
|
|
nd4j::ops::dynamic_rnn op;
|
|
auto results = op.execute({&x, &Wx, &Wh, &b}, {}, {});
|
|
|
|
ASSERT_EQ(ND4J_STATUS_OK, results->status());
|
|
|
|
auto h = results->at(0);
|
|
auto hFinal = results->at(1);
|
|
|
|
ASSERT_TRUE(expH.isSameShape(h));
|
|
ASSERT_TRUE(expH.equalsTo(h));
|
|
ASSERT_TRUE(expHFinal.isSameShape(hFinal));
|
|
ASSERT_TRUE(expHFinal.equalsTo(hFinal));
|
|
|
|
delete results;
|
|
}
|
|
|
|
///////////////////////////////////////////////////////////////////
|
|
TEST_F(DeclarableOpsTests6, dynamic_bidir_rnn_test1) {
|
|
|
|
const int bS = 4;
|
|
const int inSize = 4;
|
|
const int numUnitsFW = 3;
|
|
const int numUnitsBW = 3;
|
|
const int time = 5;
|
|
|
|
auto x = NDArrayFactory::create<double>('c', {time, bS, inSize});
|
|
auto WxFW = NDArrayFactory::create<double>('c', {inSize, numUnitsFW});
|
|
auto WhFW = NDArrayFactory::create<double>('c', {numUnitsFW, numUnitsFW});
|
|
auto bFW = NDArrayFactory::create<double>('c', {2*numUnitsFW});
|
|
|
|
auto h0FW = NDArrayFactory::create<double>('c', {bS, numUnitsFW});
|
|
auto h0BW = NDArrayFactory::create<double>('c', {bS, numUnitsBW});
|
|
auto maxTimeStep = NDArrayFactory::create<int>('c', {bS}, {time-1, time-3, time-4, 0});
|
|
|
|
x.linspace(0.01, 0.01);
|
|
h0FW = 0.2;
|
|
h0BW = 0.25;
|
|
WxFW = 0.3;
|
|
WhFW = 0.4;
|
|
bFW = 0.1;
|
|
|
|
auto expHFW = NDArrayFactory::create<double>('c', {time, bS, numUnitsFW}, {0.43819931, 0.43819931, 0.43819931,0.47615493, 0.47615493, 0.47615493,0.51241561, 0.51241561, 0.51241561,0. , 0. , 0. ,
|
|
0.73880324, 0.73880324, 0.73880324,0.77843476, 0.77843476, 0.77843476,0. , 0. , 0. ,0. , 0. , 0. ,
|
|
0.9052501 , 0.9052501 , 0.9052501 ,0. , 0. , 0. ,0. , 0. , 0. ,0. , 0. , 0. ,
|
|
0.9555734 , 0.9555734 , 0.9555734 ,0. , 0. , 0. ,0. , 0. , 0. ,0. , 0. , 0. ,
|
|
0. , 0. , 0. ,0. , 0. , 0. ,0. , 0. , 0. ,0. , 0. , 0. });
|
|
|
|
auto expHBW = NDArrayFactory::create<double>('c', {time, bS, numUnitsBW}, {0.86708881, 0.86708881, 0.86708881,0.78347842, 0.78347842, 0.78347842,0.55529176, 0.55529176, 0.55529176,0. , 0. , 0. ,
|
|
0.90935605, 0.90935605, 0.90935605,0.64692945, 0.64692945, 0.64692945,0. , 0. , 0. ,0. , 0. , 0. ,
|
|
0.9181592 , 0.9181592 , 0.9181592 ,0. , 0. , 0. ,0. , 0. , 0. ,0. , 0. , 0. ,
|
|
0.8026439 , 0.8026439 , 0.8026439 ,0. , 0. , 0. ,0. , 0. , 0. ,0. , 0. , 0. ,
|
|
0. , 0. , 0. ,0. , 0. , 0. ,0. , 0. , 0. ,0. , 0. , 0. });
|
|
|
|
auto expHFWfinal = NDArrayFactory::create<double>('c', {bS, numUnitsFW}, {0.9555734 , 0.9555734 , 0.9555734 , 0.77843476, 0.77843476, 0.77843476, 0.51241561, 0.51241561, 0.51241561, 0.2 , 0.2 , 0.2});
|
|
auto expHBWfinal = NDArrayFactory::create<double>('c', {bS, numUnitsBW}, {0.86708881, 0.86708881, 0.86708881, 0.78347842, 0.78347842, 0.78347842, 0.55529176, 0.55529176, 0.55529176, 0.25 , 0.25 , 0.25});
|
|
|
|
nd4j::ops::dynamic_bidirectional_rnn op;
|
|
auto results = op.execute({&x, &WxFW,&WhFW,&bFW, &WxFW,&WhFW,&bFW, &h0FW, &h0BW, &maxTimeStep}, {}, {1}, {}, false, nd4j::DataType::DOUBLE);
|
|
|
|
ASSERT_EQ(ND4J_STATUS_OK, results->status());
|
|
|
|
auto hFW = results->at(0);
|
|
auto hBW = results->at(1);
|
|
auto hFWfinal = results->at(2);
|
|
auto hBWfinal = results->at(3);
|
|
|
|
ASSERT_TRUE(expHFW.isSameShape(hFW));
|
|
ASSERT_TRUE(expHFW.equalsTo(hFW));
|
|
ASSERT_TRUE(expHBW.isSameShape(hBW));
|
|
ASSERT_TRUE(expHBW.equalsTo(hBW));
|
|
ASSERT_TRUE(expHFWfinal.isSameShape(hFWfinal));
|
|
ASSERT_TRUE(expHFWfinal.equalsTo(hFWfinal));
|
|
ASSERT_TRUE(expHBWfinal.isSameShape(hBWfinal));
|
|
ASSERT_TRUE(expHBWfinal.equalsTo(hBWfinal));
|
|
|
|
delete results;
|
|
}
|
|
|
|
///////////////////////////////////////////////////////////////////
|
|
TEST_F(DeclarableOpsTests6, dynamic_bidir_rnn_test2) {
|
|
|
|
const int bS = 4;
|
|
const int inSize = 4;
|
|
const int numUnitsFW = 3;
|
|
const int numUnitsBW = 3;
|
|
const int time = 5;
|
|
|
|
auto x = NDArrayFactory::create<double>('c', {bS, time, inSize});
|
|
auto WxFW = NDArrayFactory::create<double>('c', {inSize, numUnitsFW});
|
|
auto WhFW = NDArrayFactory::create<double>('c', {numUnitsFW, numUnitsFW});
|
|
auto bFW = NDArrayFactory::create<double>('c', {2*numUnitsFW});
|
|
|
|
auto h0FW = NDArrayFactory::create<double>('c', {bS, numUnitsFW});
|
|
auto h0BW = NDArrayFactory::create<double>('c', {bS, numUnitsBW});
|
|
auto maxTimeStep = NDArrayFactory::create<int>('c', {bS}, {time-1, time-3, time-4, 0});
|
|
|
|
x.linspace(0.01, 0.01);
|
|
h0FW = 0.2;
|
|
h0BW = 0.25;
|
|
WxFW = 0.3;
|
|
WhFW = 0.4;
|
|
bFW = 0.1;
|
|
|
|
auto expHFW = NDArrayFactory::create<double>('c', {bS, time, numUnitsFW}, {0.43819931, 0.43819931, 0.43819931,0.66617761, 0.66617761, 0.66617761,0.80944357, 0.80944357, 0.80944357,0.87294706, 0.87294706, 0.87294706,0. , 0. , 0. ,
|
|
0.61067683, 0.61067683, 0.61067683,0.84851124, 0.84851124, 0.84851124,0. , 0. , 0. ,0. , 0. , 0. ,0. , 0. , 0. ,
|
|
0.73978305, 0.73978305, 0.73978305,0. , 0. , 0. ,0. , 0. , 0. ,0. , 0. , 0. ,0. , 0. , 0. ,
|
|
0. , 0. , 0. ,0. , 0. , 0. ,0. , 0. , 0. ,0. , 0. , 0. ,0. , 0. , 0. });
|
|
|
|
auto expHBW = NDArrayFactory::create<double>('c', {bS, time, numUnitsBW}, {0.84345207, 0.84345207, 0.84345207,0.83584708, 0.83584708, 0.83584708,0.77435951, 0.77435951, 0.77435951,0.58760492, 0.58760492, 0.58760492,0. , 0. , 0. ,
|
|
0.85615841, 0.85615841, 0.85615841,0.67397984, 0.67397984, 0.67397984,0. , 0. , 0. ,0. , 0. , 0. ,0. , 0. , 0. ,
|
|
0.76576202, 0.76576202, 0.76576202,0. , 0. , 0. ,0. , 0. , 0. ,0. , 0. , 0. ,0. , 0. , 0. ,
|
|
0. , 0. , 0. ,0. , 0. , 0. ,0. , 0. , 0. ,0. , 0. , 0. ,0. , 0. , 0. });
|
|
|
|
auto expHFWfinal = NDArrayFactory::create<double>('c', {bS, numUnitsFW}, {0.87294706, 0.87294706, 0.87294706,0.84851124, 0.84851124, 0.84851124,0.73978305, 0.73978305, 0.73978305,0.2 , 0.2 , 0.2});
|
|
auto expHBWfinal = NDArrayFactory::create<double>('c', {bS, numUnitsBW}, {0.84345207, 0.84345207, 0.84345207, 0.85615841, 0.85615841, 0.85615841, 0.76576202, 0.76576202, 0.76576202, 0.25 , 0.25 , 0.25});
|
|
|
|
nd4j::ops::dynamic_bidirectional_rnn op;
|
|
auto results = op.execute({&x, &WxFW,&WhFW,&bFW, &WxFW,&WhFW,&bFW, &h0FW, &h0BW, &maxTimeStep}, {}, {});
|
|
|
|
ASSERT_EQ(ND4J_STATUS_OK, results->status());
|
|
|
|
auto hFW = results->at(0);
|
|
auto hBW = results->at(1);
|
|
auto hFWfinal = results->at(2);
|
|
auto hBWfinal = results->at(3);
|
|
|
|
ASSERT_TRUE(expHFW.isSameShape(hFW));
|
|
ASSERT_TRUE(expHFW.equalsTo(hFW));
|
|
ASSERT_TRUE(expHBW.isSameShape(hBW));
|
|
ASSERT_TRUE(expHBW.equalsTo(hBW));
|
|
ASSERT_TRUE(expHFWfinal.isSameShape(hFWfinal));
|
|
ASSERT_TRUE(expHFWfinal.equalsTo(hFWfinal));
|
|
ASSERT_TRUE(expHBWfinal.isSameShape(hBWfinal));
|
|
ASSERT_TRUE(expHBWfinal.equalsTo(hBWfinal));
|
|
|
|
delete results;
|
|
}
|
|
|
|
///////////////////////////////////////////////////////////////////
|
|
TEST_F(DeclarableOpsTests6, dynamic_bidir_rnn_test3) {
|
|
|
|
const int bS = 4;
|
|
const int inSize = 4;
|
|
const int numUnitsFW = 3;
|
|
const int numUnitsBW = 3;
|
|
const int time = 5;
|
|
|
|
auto x = NDArrayFactory::create<double>('c', {bS, time, inSize});
|
|
auto WxFW = NDArrayFactory::create<double>('c', {inSize, numUnitsFW});
|
|
auto WhFW = NDArrayFactory::create<double>('c', {numUnitsFW, numUnitsFW});
|
|
auto bFW = NDArrayFactory::create<double>('c', {2*numUnitsFW});
|
|
|
|
auto maxTimeStep = NDArrayFactory::create<int>('c', {bS}, {time-1, time-3, time-4, 0});
|
|
|
|
x.linspace(0.01, 0.01);
|
|
WxFW = 0.3;
|
|
WhFW = 0.4;
|
|
bFW = 0.1;
|
|
|
|
auto expHFW = NDArrayFactory::create<double>('c', {bS, time, numUnitsFW}, {0.22602835, 0.22602835, 0.22602835,0.49994591, 0.49994591, 0.49994591,0.72869307, 0.72869307, 0.72869307,0.84784327, 0.84784327, 0.84784327,0. , 0. , 0. ,
|
|
0.43819931, 0.43819931, 0.43819931,0.7793996 , 0.7793996 , 0.7793996 ,0. , 0. , 0. ,0. , 0. , 0. ,0. , 0. , 0. ,
|
|
0.61067683, 0.61067683, 0.61067683,0. , 0. , 0. ,0. , 0. , 0. ,0. , 0. , 0. ,0. , 0. , 0. ,
|
|
0. , 0. , 0. ,0. , 0. , 0. ,0. , 0. , 0. ,0. , 0. , 0. ,0. , 0. , 0. });
|
|
|
|
auto expHBW = NDArrayFactory::create<double>('c', {bS, time, numUnitsBW}, {0.82273707, 0.82273707, 0.82273707,0.77935851, 0.77935851, 0.77935851,0.6381121 , 0.6381121 , 0.6381121 ,0.35748551, 0.35748551, 0.35748551,0. , 0. , 0. ,
|
|
0.77843476, 0.77843476, 0.77843476,0.47615493, 0.47615493, 0.47615493,0. , 0. , 0. ,0. , 0. , 0. ,0. , 0. , 0. ,
|
|
0.61067683, 0.61067683, 0.61067683,0. , 0. , 0. ,0. , 0. , 0. ,0. , 0. , 0. ,0. , 0. , 0. ,
|
|
0. , 0. , 0. ,0. , 0. , 0. ,0. , 0. , 0. ,0. , 0. , 0. ,0. , 0. , 0. });
|
|
|
|
auto expHFWfinal = NDArrayFactory::create<double>('c', {bS, numUnitsFW}, {0.84784327, 0.84784327, 0.84784327, 0.7793996 , 0.7793996 , 0.7793996 , 0.61067683, 0.61067683, 0.61067683, 0. , 0. , 0.});
|
|
auto expHBWfinal = NDArrayFactory::create<double>('c', {bS, numUnitsBW}, {0.82273707, 0.82273707, 0.82273707, 0.77843476, 0.77843476, 0.77843476, 0.61067683, 0.61067683, 0.61067683, 0. , 0. , 0.});
|
|
|
|
nd4j::ops::dynamic_bidirectional_rnn op;
|
|
auto results = op.execute({&x, &WxFW,&WhFW,&bFW, &WxFW,&WhFW,&bFW, &maxTimeStep}, {}, {});
|
|
|
|
ASSERT_EQ(ND4J_STATUS_OK, results->status());
|
|
|
|
auto hFW = results->at(0);
|
|
auto hBW = results->at(1);
|
|
auto hFWfinal = results->at(2);
|
|
auto hBWfinal = results->at(3);
|
|
|
|
ASSERT_TRUE(expHFW.isSameShape(hFW));
|
|
ASSERT_TRUE(expHFW.equalsTo(hFW));
|
|
ASSERT_TRUE(expHBW.isSameShape(hBW));
|
|
ASSERT_TRUE(expHBW.equalsTo(hBW));
|
|
ASSERT_TRUE(expHFWfinal.isSameShape(hFWfinal));
|
|
ASSERT_TRUE(expHFWfinal.equalsTo(hFWfinal));
|
|
ASSERT_TRUE(expHBWfinal.isSameShape(hBWfinal));
|
|
ASSERT_TRUE(expHBWfinal.equalsTo(hBWfinal));
|
|
|
|
delete results;
|
|
}
|
|
|
|
///////////////////////////////////////////////////////////////////
|
|
TEST_F(DeclarableOpsTests6, dynamic_bidir_rnn_test4) {
|
|
|
|
const int bS = 4;
|
|
const int inSize = 4;
|
|
const int numUnitsFW = 3;
|
|
const int numUnitsBW = 3;
|
|
const int time = 5;
|
|
|
|
auto x = NDArrayFactory::create<double>('c', {bS, time, inSize});
|
|
auto WxFW = NDArrayFactory::create<double>('c', {inSize, numUnitsFW});
|
|
auto WhFW = NDArrayFactory::create<double>('c', {numUnitsFW, numUnitsFW});
|
|
auto bFW = NDArrayFactory::create<double>('c', {2*numUnitsFW});
|
|
|
|
auto h0FW = NDArrayFactory::create<double>('c', {bS, numUnitsFW});
|
|
auto h0BW = NDArrayFactory::create<double>('c', {bS, numUnitsBW});
|
|
|
|
x.linspace(0.01, 0.01);
|
|
h0FW = 0.2;
|
|
h0BW = 0.25;
|
|
WxFW = 0.3;
|
|
WhFW = 0.4;
|
|
bFW = 0.1;
|
|
|
|
auto expHFW = NDArrayFactory::create<double>('c', {bS, time, numUnitsFW}, {0.43819931, 0.43819931, 0.43819931,0.66617761, 0.66617761, 0.66617761,0.80944357, 0.80944357, 0.80944357,0.87294706, 0.87294706, 0.87294706,0.89948899, 0.89948899, 0.89948899,
|
|
0.61067683, 0.61067683, 0.61067683,0.84851124, 0.84851124, 0.84851124,0.91925737, 0.91925737, 0.91925737,0.93751395, 0.93751395, 0.93751395,0.94544483, 0.94544483, 0.94544483,
|
|
0.73978305, 0.73978305, 0.73978305,0.92827068, 0.92827068, 0.92827068,0.95791111, 0.95791111, 0.95791111,0.96427356, 0.96427356, 0.96427356,0.96797541, 0.96797541, 0.96797541,
|
|
0.83057887, 0.83057887, 0.83057887,0.96365083, 0.96365083, 0.96365083,0.97585698, 0.97585698, 0.97585698,0.97866981, 0.97866981, 0.97866981,0.9807326 , 0.9807326 , 0.9807326 });
|
|
|
|
auto expHBW = NDArrayFactory::create<double>('c', {bS, time, numUnitsBW}, {0.85301722, 0.85301722, 0.85301722,0.86427295, 0.86427295, 0.86427295,0.8599919 , 0.8599919 , 0.8599919 ,0.80609463, 0.80609463, 0.80609463,0.61814662, 0.61814662, 0.61814662,
|
|
0.91888753, 0.91888753, 0.91888753,0.92652672, 0.92652672, 0.92652672,0.92939674, 0.92939674, 0.92939674,0.90661931, 0.90661931, 0.90661931,0.74516764, 0.74516764, 0.74516764,
|
|
0.95254269, 0.95254269, 0.95254269,0.95710717, 0.95710717, 0.95710717,0.96021584, 0.96021584, 0.96021584,0.95222547, 0.95222547, 0.95222547,0.83426363, 0.83426363, 0.83426363,
|
|
0.97154357, 0.97154357, 0.97154357,0.97424915, 0.97424915, 0.97424915,0.97644817, 0.97644817, 0.97644817,0.97410547, 0.97410547, 0.97410547,0.89409962, 0.89409962, 0.89409962});
|
|
|
|
auto expHFWfinal = NDArrayFactory::create<double>('c', {bS, numUnitsFW}, {0.89948899, 0.89948899, 0.89948899, 0.94544483, 0.94544483, 0.94544483, 0.96797541, 0.96797541, 0.96797541, 0.9807326 , 0.9807326 , 0.9807326 });
|
|
auto expHBWfinal = NDArrayFactory::create<double>('c', {bS, numUnitsBW}, {0.85301722, 0.85301722, 0.85301722, 0.91888753, 0.91888753, 0.91888753, 0.95254269, 0.95254269, 0.95254269, 0.97154357, 0.97154357, 0.97154357});
|
|
|
|
nd4j::ops::dynamic_bidirectional_rnn op;
|
|
auto results = op.execute({&x, &WxFW,&WhFW,&bFW, &WxFW,&WhFW,&bFW, &h0FW, &h0BW}, {}, {});
|
|
|
|
ASSERT_EQ(ND4J_STATUS_OK, results->status());
|
|
|
|
auto hFW = results->at(0);
|
|
auto hBW = results->at(1);
|
|
auto hFWfinal = results->at(2);
|
|
auto hBWfinal = results->at(3);
|
|
|
|
ASSERT_TRUE(expHFW.isSameShape(hFW));
|
|
ASSERT_TRUE(expHFW.equalsTo(hFW));
|
|
ASSERT_TRUE(expHBW.isSameShape(hBW));
|
|
ASSERT_TRUE(expHBW.equalsTo(hBW));
|
|
ASSERT_TRUE(expHFWfinal.isSameShape(hFWfinal));
|
|
ASSERT_TRUE(expHFWfinal.equalsTo(hFWfinal));
|
|
ASSERT_TRUE(expHBWfinal.isSameShape(hBWfinal));
|
|
ASSERT_TRUE(expHBWfinal.equalsTo(hBWfinal));
|
|
|
|
delete results;
|
|
}
|
|
|
|
TEST_F(DeclarableOpsTests6, dynamic_bidir_rnn_test5) {
|
|
|
|
const int bS = 4;
|
|
const int inSize = 4;
|
|
const int numUnitsFW = 3;
|
|
const int numUnitsBW = 3;
|
|
const int time = 5;
|
|
|
|
auto x = NDArrayFactory::create<double>('c', {bS, time, inSize});
|
|
auto WxFW = NDArrayFactory::create<double>('c', {inSize, numUnitsFW});
|
|
auto WhFW = NDArrayFactory::create<double>('c', {numUnitsFW, numUnitsFW});
|
|
auto bFW = NDArrayFactory::create<double>('c', {2*numUnitsFW});
|
|
|
|
x.linspace(0.01, 0.01);
|
|
WxFW = 0.3;
|
|
WhFW = 0.4;
|
|
bFW = 0.1;
|
|
|
|
auto expHFW = NDArrayFactory::create<double>('c', {bS, time, numUnitsFW}, {0.22602835, 0.22602835, 0.22602835,0.49994591, 0.49994591, 0.49994591,0.72869307, 0.72869307, 0.72869307,0.84784327, 0.84784327, 0.84784327,0.89357928, 0.89357928, 0.89357928,
|
|
0.43819931, 0.43819931, 0.43819931,0.7793996 , 0.7793996 , 0.7793996 ,0.9053792 , 0.9053792 , 0.9053792 ,0.93546593, 0.93546593, 0.93546593,0.94518339, 0.94518339, 0.94518339,
|
|
0.61067683, 0.61067683, 0.61067683,0.90347408, 0.90347408, 0.90347408,0.95538786, 0.95538786, 0.95538786,0.96406045, 0.96406045, 0.96406045,0.96795929, 0.96795929, 0.96795929,
|
|
0.73978305, 0.73978305, 0.73978305,0.95499984, 0.95499984, 0.95499984,0.97535671, 0.97535671, 0.97535671,0.97864446, 0.97864446, 0.97864446,0.98073144, 0.98073144, 0.98073144});
|
|
|
|
auto expHBW = NDArrayFactory::create<double>('c', {bS, time, numUnitsBW}, {0.84882345, 0.84882345, 0.84882345,0.85160683, 0.85160683, 0.85160683,0.81997657, 0.81997657, 0.81997657,0.69228829, 0.69228829, 0.69228829,0.39861399, 0.39861399, 0.39861399,
|
|
0.91865453, 0.91865453, 0.91865453,0.92528094, 0.92528094, 0.92528094,0.92212167, 0.92212167, 0.92212167,0.86418213, 0.86418213, 0.86418213,0.57969286, 0.57969286, 0.57969286,
|
|
0.95252666, 0.95252666, 0.95252666,0.95696305, 0.95696305, 0.95696305,0.95878749, 0.95878749, 0.95878749,0.93722463, 0.93722463, 0.93722463,0.71727031, 0.71727031, 0.71727031,
|
|
0.97154234, 0.97154234, 0.97154234,0.97423089, 0.97423089, 0.97423089,0.976149 , 0.976149 , 0.976149 ,0.96878298, 0.96878298, 0.96878298,0.81508646, 0.81508646, 0.81508646});
|
|
|
|
auto expHFWfinal = NDArrayFactory::create<double>('c', {bS, numUnitsFW}, {0.89357928, 0.89357928, 0.89357928, 0.94518339, 0.94518339, 0.94518339, 0.96795929, 0.96795929, 0.96795929, 0.98073144, 0.98073144, 0.98073144});
|
|
auto expHBWfinal = NDArrayFactory::create<double>('c', {bS, numUnitsBW}, {0.84882345, 0.84882345, 0.84882345, 0.91865453, 0.91865453, 0.91865453, 0.95252666, 0.95252666, 0.95252666, 0.97154234, 0.97154234, 0.97154234});
|
|
|
|
nd4j::ops::dynamic_bidirectional_rnn op;
|
|
auto results = op.execute({&x, &WxFW,&WhFW,&bFW, &WxFW,&WhFW,&bFW}, {}, {});
|
|
|
|
ASSERT_EQ(ND4J_STATUS_OK, results->status());
|
|
|
|
auto hFW = results->at(0);
|
|
auto hBW = results->at(1);
|
|
auto hFWfinal = results->at(2);
|
|
auto hBWfinal = results->at(3);
|
|
|
|
ASSERT_TRUE(expHFW.isSameShape(hFW));
|
|
ASSERT_TRUE(expHFW.equalsTo(hFW));
|
|
ASSERT_TRUE(expHBW.isSameShape(hBW));
|
|
ASSERT_TRUE(expHBW.equalsTo(hBW));
|
|
ASSERT_TRUE(expHFWfinal.isSameShape(hFWfinal));
|
|
ASSERT_TRUE(expHFWfinal.equalsTo(hFWfinal));
|
|
ASSERT_TRUE(expHBWfinal.isSameShape(hBWfinal));
|
|
ASSERT_TRUE(expHBWfinal.equalsTo(hBWfinal));
|
|
|
|
delete results;
|
|
}
|
|
|
|
|
|
TEST_F(DeclarableOpsTests6, Test_Diag_119_1) {
|
|
auto x = NDArrayFactory::create<double>('c', {3}, {0.15f, 0.25f, 0.35f});
|
|
auto e = NDArrayFactory::create<double>('c', {3, 3}, {0.15f, 0.0f, 0.0f, 0.0f, 0.25f, 0.0f, 0.0f, 0.0f, 0.35f});
|
|
|
|
nd4j::ops::diag op;
|
|
auto result = op.execute({&x}, {}, {});
|
|
ASSERT_EQ(Status::OK(), result->status());
|
|
|
|
ASSERT_EQ(e, *result->at(0));
|
|
|
|
delete result;
|
|
}
|
|
|
|
TEST_F(DeclarableOpsTests6, Test_Diag_119_2) {
|
|
auto x = NDArrayFactory::create<double>('c', {1}, {0.15f});
|
|
auto e = NDArrayFactory::create<double>('c', {1, 1}, {0.15f});
|
|
|
|
nd4j::ops::diag op;
|
|
auto result = op.execute({&x}, {}, {});
|
|
ASSERT_EQ(Status::OK(), result->status());
|
|
|
|
ASSERT_EQ(e, *result->at(0));
|
|
|
|
delete result;
|
|
}
|
|
|
|
TEST_F(DeclarableOpsTests6, Test_Diag_119_3) {
|
|
auto x = NDArrayFactory::create<double>(0.15f);
|
|
auto e = NDArrayFactory::create<double>('c', {1, 1}, {0.15f});
|
|
|
|
nd4j::ops::diag op;
|
|
auto result = op.execute({&x}, {}, {});
|
|
ASSERT_EQ(Status::OK(), result->status());
|
|
|
|
ASSERT_EQ(e, *result->at(0));
|
|
|
|
delete result;
|
|
}
|
|
|
|
TEST_F(DeclarableOpsTests6, concat_test14) {
|
|
|
|
NDArray x0('c', {1, 55, 40}, nd4j::DataType::DOUBLE);
|
|
NDArray x1('c', {1, 55, 40}, nd4j::DataType::DOUBLE);
|
|
|
|
x0 = 1.;
|
|
x1 = 2.;
|
|
|
|
nd4j::ops::concat op;
|
|
auto result = op.execute({&x0, &x1}, {}, {0}, {});
|
|
ASSERT_EQ(Status::OK(), result->status());
|
|
|
|
auto z = result->at(0);
|
|
// z->printShapeInfo();
|
|
// z->printIndexedBuffer();
|
|
|
|
Nd4jLong numOfTads= ShapeUtils::getNumOfSubArrs(z->getShapeInfo(), {0});
|
|
ASSERT_TRUE(2 == numOfTads);
|
|
|
|
for (int e = 0; e < numOfTads; ++e) {
|
|
NDArray tad = (*z)(e, {0});
|
|
auto mean = tad.meanNumber().e<double>(0);
|
|
ASSERT_NEAR((e+1)*1., mean, 1e-5);
|
|
}
|
|
|
|
delete result;
|
|
}
|
|
|