* - specifying template instantiation for certain types in float16 and bloat16 Signed-off-by: Yurii <iuriish@yahoo.com> * - polishing bfloat16 and float16 member functions template specialization Signed-off-by: Yurii <iuriish@yahoo.com> * - rewrite and overload array +-*/ scalar and scalar +-*/ arr in NDAray class Signed-off-by: Yurii <iuriish@yahoo.com> * - make corrections which have to do with and rvalue lvalue conversions Signed-off-by: Yurii <iuriish@yahoo.com> * - provide move semantic in NDArray operators array +-/* array Signed-off-by: Yurii <iuriish@yahoo.com> * float16/bfloat16 tweaks Signed-off-by: raver119 <raver119@gmail.com> * one more tweak Signed-off-by: raver119 <raver119@gmail.com> * - make float16 and bfloat16 to compile successfully on cuda Signed-off-by: Yurii <iuriish@yahoo.com> * - do not use resources of view-like arrays when move semantics is applied Signed-off-by: Yurii <iuriish@yahoo.com> * - get rid of pointers in signatures NDArray methods 1 Signed-off-by: Yurii <iuriish@yahoo.com> * - correction of signature of NDArray::dup method Signed-off-by: Yurii <iuriish@yahoo.com> * - correction of signature of NDArray::reduceAlongDimension method Signed-off-by: Yurii <iuriish@yahoo.com> * - signature correction of NDArray::applyIndexReduce and applyTrueBroadcast methods Signed-off-by: Yurii <iuriish@yahoo.com> * - signature correction of NDArray::applyReduce3 and varianceAlongDimension methods Signed-off-by: Yurii <iuriish@yahoo.com> * - signature correction of NDArray::tensorsAlongDimension and diagonal methods Signed-off-by: Yurii <iuriish@yahoo.com> * - signature correction of NDArray::allTensorsAlongDimension Signed-off-by: Yurii <iuriish@yahoo.com> * - signature correction of NDArray::reduceAlongDimension 2 Signed-off-by: Yurii <iuriish@yahoo.com> * - signature correction of NDArray::applyTransform 2 Signed-off-by: Yurii <iuriish@yahoo.com> * - signature correction of NDArray::applyPairwiseTransform 2 Signed-off-by: Yurii <iuriish@yahoo.com> * - signature correction of NDArray::applyBroadcast 2 Signed-off-by: Yurii <iuriish@yahoo.com> * - signature correction of NDArray::applyTrueBroadcast 2 Signed-off-by: Yurii <iuriish@yahoo.com> * - signature correction of NDArray::applyScalar and applyScalarArr Signed-off-by: Yurii <iuriish@yahoo.com> * - signature correction of NDArray::lambda methods Signed-off-by: Yurii <iuriish@yahoo.com> * - signature correction of NDArray::reduce3 methods 2 Signed-off-by: Yurii <iuriish@yahoo.com> * - signature correction of following NDArray methods: add/sub/mul/div row/column and fillAsTriangular Signed-off-by: Yurii <iuriish@yahoo.com> * - signature correction of NDArray::tileToShape methods Signed-off-by: Yurii <iuriish@yahoo.com> * - signature correction of NDArray::isShapeSameStrict method Signed-off-by: Yurii <iuriish@yahoo.com> * minor corrections in tests Signed-off-by: Yurii <iuriish@yahoo.com> * - replace reduce op in batchnorm mkldnn Signed-off-by: Yurii <iuriish@yahoo.com> * - add explicit templates instantiations for operator+(NDArray&&. const scalar) Signed-off-by: Yurii <iuriish@yahoo.com> * - corrections of casts in float16/bfloat16 Signed-off-by: Yurii <iuriish@yahoo.com> * - provide move semantics in following NDArray methods: transform, applyTrueBroadcast, transpose, reshape, permute Signed-off-by: Yurii <iuriish@yahoo.com> * - get rid of input array A duplicate in svd cuda op Signed-off-by: Yurii <iuriish@yahoo.com> * - avoid available bug in svd cuda API Signed-off-by: Yurii <iuriish@yahoo.com> * - add temporary global memory buffer in svd cuda when calcUV = false and m != n Signed-off-by: Yurii <iuriish@yahoo.com> * - remove test with blfoat16 type for betainC Signed-off-by: Yurii <iuriish@yahoo.com> * - resolve conflicts after master has been merged in Signed-off-by: Yurii <iuriish@yahoo.com> * - changed type of affected input array in fused_batch_norm Signed-off-by: Yurii <iuriish@yahoo.com> * - add several explicit type castings Signed-off-by: Yurii <iuriish@yahoo.com> * - add ND4J_EXPORT to operators Signed-off-by: Yurii <iuriish@yahoo.com> * - add explicit template types in instantiations of template arithm operators of NDArray class Signed-off-by: Yurii <iuriish@yahoo.com> * - one more test fix Signed-off-by: Yurii <iuriish@yahoo.com> Co-authored-by: raver119 <raver119@gmail.com>
226 lines
6.2 KiB
C++
226 lines
6.2 KiB
C++
/*******************************************************************************
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* Copyright (c) 2015-2018 Skymind, Inc.
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*
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* This program and the accompanying materials are made available under the
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* terms of the Apache License, Version 2.0 which is available at
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* https://www.apache.org/licenses/LICENSE-2.0.
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*
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* Unless required by applicable law or agreed to in writing, software
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* distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
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* WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
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* License for the specific language governing permissions and limitations
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* under the License.
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*
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* SPDX-License-Identifier: Apache-2.0
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******************************************************************************/
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//
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// @author raver119@gmail.com
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//
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#ifndef LIBND4J_VARIABLETESTS_H
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#define LIBND4J_VARIABLETESTS_H
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#include "testlayers.h"
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#include <NDArray.h>
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#include <graph/Variable.h>
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#include <flatbuffers/flatbuffers.h>
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using namespace nd4j;
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using namespace nd4j::graph;
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class VariableTests : public testing::Test {
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public:
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};
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TEST_F(VariableTests, TestClone_1) {
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auto array1 = NDArrayFactory::create_<float>('c', {5, 5});
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array1->assign(1.0);
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auto var1 = new Variable(array1, "alpha");
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var1->setId(119);
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auto var2 = var1->clone();
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ASSERT_FALSE(var1->getNDArray() == var2->getNDArray());
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auto array2 = var2->getNDArray();
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ASSERT_TRUE(array1->equalsTo(array2));
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ASSERT_EQ(var1->id(), var2->id());
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ASSERT_EQ(*var1->getName(), *var2->getName());
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delete var1;
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std::string str("alpha");
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ASSERT_EQ(*var2->getName(), str);
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array2->assign(2.0);
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ASSERT_NEAR(2.0, array2->meanNumber().e<float>(0), 1e-5);
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delete var2;
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}
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TEST_F(VariableTests, Test_FlatVariableDataType_1) {
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flatbuffers::FlatBufferBuilder builder(1024);
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auto original = NDArrayFactory::create<float>('c', {5, 10});
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original.linspace(1);
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auto vec = original.asByteVector();
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auto fShape = builder.CreateVector(original.getShapeInfoAsFlatVector());
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auto fBuffer = builder.CreateVector(vec);
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auto fVid = CreateIntPair(builder, 1, 12);
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auto fArray = CreateFlatArray(builder, fShape, fBuffer, nd4j::graph::DType::DType_FLOAT);
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auto flatVar = CreateFlatVariable(builder, fVid, 0, nd4j::graph::DType::DType_FLOAT, 0, fArray);
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builder.Finish(flatVar);
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auto ptr = builder.GetBufferPointer();
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auto restoredVar = GetFlatVariable(ptr);
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auto rv = new Variable(restoredVar);
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ASSERT_EQ(1, rv->id());
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ASSERT_EQ(12, rv->index());
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auto restoredArray = rv->getNDArray();
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ASSERT_TRUE(original.isSameShape(restoredArray));
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ASSERT_TRUE(original.equalsTo(restoredArray));
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delete rv;
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}
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TEST_F(VariableTests, Test_FlatVariableDataType_2) {
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flatbuffers::FlatBufferBuilder builder(1024);
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auto original = NDArrayFactory::create<double>('c', {5, 10});
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original.linspace(1);
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auto vec = original.asByteVector();
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auto fShape = builder.CreateVector(original.getShapeInfoAsFlatVector());
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auto fBuffer = builder.CreateVector(vec);
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auto fVid = CreateIntPair(builder, 1, 12);
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auto fArray = CreateFlatArray(builder, fShape, fBuffer, nd4j::graph::DType::DType_DOUBLE);
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auto flatVar = CreateFlatVariable(builder, fVid, 0, nd4j::graph::DType::DType_DOUBLE, 0, fArray);
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builder.Finish(flatVar);
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auto ptr = builder.GetBufferPointer();
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auto restoredVar = GetFlatVariable(ptr);
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auto rv = new Variable(restoredVar);
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ASSERT_EQ(1, rv->id());
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ASSERT_EQ(12, rv->index());
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auto restoredArray = rv->getNDArray();
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ASSERT_TRUE(original.isSameShape(restoredArray));
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ASSERT_TRUE(original.equalsTo(restoredArray));
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delete rv;
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}
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TEST_F(VariableTests, Test_FlatVariableDataType_3) {
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flatbuffers::FlatBufferBuilder builder(1024);
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auto original = NDArrayFactory::create<double>('c', {5, 10});
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auto floating = NDArrayFactory::create<float>('c', {5, 10});
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original.linspace(1);
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floating.linspace(1);
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auto vec = original.asByteVector();
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auto fShape = builder.CreateVector(original.getShapeInfoAsFlatVector());
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auto fBuffer = builder.CreateVector(vec);
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auto fVid = CreateIntPair(builder, 1, 12);
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auto fArray = CreateFlatArray(builder, fShape, fBuffer, nd4j::graph::DType::DType_DOUBLE);
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auto flatVar = CreateFlatVariable(builder, fVid, 0, nd4j::graph::DType::DType_DOUBLE, 0, fArray);
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builder.Finish(flatVar);
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auto ptr = builder.GetBufferPointer();
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auto restoredVar = GetFlatVariable(ptr);
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auto rv = new Variable(restoredVar);
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ASSERT_EQ(1, rv->id());
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ASSERT_EQ(12, rv->index());
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auto restoredArray = rv->getNDArray();
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auto conv = restoredArray->asT<float>();
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ASSERT_TRUE(floating.isSameShape(restoredArray));
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ASSERT_TRUE(floating.equalsTo(conv));
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delete rv;
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}
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/*
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TEST_F(VariableTests, Test_FlatVariableDataType_4) {
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flatbuffers::FlatBufferBuilder builder(1024);
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auto original = NDArrayFactory::create<float>('c', {5, 10});
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std::vector<Nd4jLong> exp({5, 10});
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auto vec = original.asByteVector();
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auto fShape = builder.CreateVector(original.getShapeAsFlatVector());
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auto fVid = CreateIntPair(builder, 37, 12);
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auto flatVar = CreateFlatVariable(builder, fVid, 0, nd4j::graph::DType::DType_FLOAT, fShape, 0, 0, VarType_PLACEHOLDER);
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builder.Finish(flatVar);
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auto ptr = builder.GetBufferPointer();
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auto restoredVar = GetFlatVariable(ptr);
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auto rv = new Variable(restoredVar);
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ASSERT_EQ(37, rv->id());
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ASSERT_EQ(12, rv->index());
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//auto restoredArray = rv->getNDArray();
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ASSERT_EQ(PLACEHOLDER, rv->variableType());
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ASSERT_EQ(exp, rv->shape());
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//ASSERT_TRUE(original.isSameShape(restoredArray));
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//ASSERT_TRUE(original.equalsTo(restoredArray));
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delete rv;
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}
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*/
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TEST_F(VariableTests, Test_Dtype_Conversion_1) {
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auto x = NDArrayFactory::create_<float>('c', {2, 3}, {1, 2, 3, 4, 5, 6});
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Variable v(x, "alpha", 12, 3);
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auto vd = v.template asT<double>();
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auto vf = vd->template asT<float>();
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ASSERT_EQ(*v.getName(), *vf->getName());
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ASSERT_EQ(v.id(), vf->id());
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ASSERT_EQ(v.index(), vf->index());
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auto xf = vf->getNDArray();
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ASSERT_TRUE(x->isSameShape(xf));
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ASSERT_TRUE(x->equalsTo(xf));
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delete vd;
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delete vf;
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}
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#endif //LIBND4J_VARIABLETESTS_H
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