818 lines
28 KiB
C++
818 lines
28 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 agibsonccc on 1/6/17.
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//
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#include <helpers/data_gen.h>
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#include "testinclude.h"
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#include <helpers/TAD.h>
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#include <ShapeBuilders.h>
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class OnesTest : public testing::Test {
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public:
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Nd4jLong shapeBuffer[12] = {4,4,3,1,1,3,1,1,1,0,1,99};
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int dimension[3] = {0,2,3};
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Nd4jLong tadAssertionShape[10] = {3,1,1,4,1,1,3,0,3,99};
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int dimensionLength = 3;
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};
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class LabelTest : public testing::Test {
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public:
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float labels[450] = {1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0};
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Nd4jLong shapeInfo[8] = {2,150,3,1,150,16384,1,102};
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int dimension[1] = {1};
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int dimensionLength = 1;
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Nd4jLong tadShapeInfoAssert[8] = {2,1,3,1,150,16384,150,102};
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};
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class ThreeDTest : public testing::Test {
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public:
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Nd4jLong shape[3] = {3,4,5};
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Nd4jLong *shapeBuffer;
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ThreeDTest() {
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shapeBuffer = nd4j::ShapeBuilders::createShapeInfo(nd4j::DataType::FLOAT32, 'c', 3, shape);
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}
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~ThreeDTest() {
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delete[] shapeBuffer;
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}
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};
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class VectorTest : public testing::Test {
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};
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class NumTadTests : public testing::Test {
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public:
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Nd4jLong shape[3] = {3,4,5};
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int dimension = 0;
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};
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class ShapeTest : public testing::Test {
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public:
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Nd4jLong vectorShape[2] = {1,2};
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};
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class MatrixTest : public testing::Test {
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public:
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int rows = 3;
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int cols = 4;
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int rank = 2;
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int dims[2] = {0,1};
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Nd4jLong expectedShapes[2][2] = {
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{1,3},
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{1,4}
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};
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Nd4jLong expectedStrides[2][2] = {
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{1,4},
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{1,1}
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};
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};
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class TADStall : public testing::Test {
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public:
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Nd4jLong shape[4] = {3,3,4,5};
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int dimensions[3] = {1,2,3};
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};
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class TensorOneDimTest : public testing::Test {
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public:
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int rows = 3;
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int cols = 4;
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int dim2 = 5;
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int rank = 3;
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int dims[3] = {0,1,2};
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Nd4jLong expectedShapes[3][2] = {
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{1,3},
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{1,4},
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{1,5}
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};
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Nd4jLong expectedStrides[3][2] = {
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{1,20},
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{1,5},
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{1,1}
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};
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};
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class TensorTwoDimTest : public testing::Test {
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public:
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//From a 3d array:
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int rows = 3;
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int cols = 4;
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int dim2 = 5;
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int dimensionLength = 2;
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int dims[3][2] = {
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{0,1},{0,2},{1,2}
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};
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Nd4jLong shape[3] {rows,cols,dim2};
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//Along dimension 0,1: expect matrix with shape [rows,cols]
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//Along dimension 0,2: expect matrix with shape [rows,dim2]
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//Along dimension 1,2: expect matrix with shape [cols,dim2]
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Nd4jLong expectedShapes[3][2] = {
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{rows,cols},
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{rows,dim2},
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{cols,dim2}
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};
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Nd4jLong expectedStrides[3][2] = {
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{20,5},
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{20,1},
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{5,1}
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};
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};
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class TensorTwoFromFourDDimTest : public testing::Test {
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public:
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//From a 3d array:
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int rows = 3;
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int cols = 4;
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int dim2 = 5;
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int dim3 = 6;
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Nd4jLong shape[4] = {rows,cols,dim2,dim3};
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int dimensionLength = 2;
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//Along dimension 0,1: expect matrix with shape [rows,cols]
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//Along dimension 0,2: expect matrix with shape [rows,dim2]
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//Along dimension 0,3: expect matrix with shape [rows,dim3]
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//Along dimension 1,2: expect matrix with shape [cols,dim2]
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//Along dimension 1,3: expect matrix with shape [cols,dim3]
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//Along dimension 2,3: expect matrix with shape [dim2,dim3]
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int dims[6][2] = {
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{0,1},
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{0,2},
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{0,3},
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{1,2},
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{1,3},
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{2,3}
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};
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Nd4jLong expectedShapes[6][2] = {
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{rows,cols},
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{rows,dim2},
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{rows,dim3},
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{cols,dim2},
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{cols,dim3}
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,{dim2,dim3}
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};
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Nd4jLong expectedStrides[6][2] = {
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{120,30},
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{120,6},
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{120,1},
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{30,6},
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{30,1},
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{6,1}
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};
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};
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class OrderTest : public testing::Test {
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public:
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Nd4jLong expected[8] = {2,3,4,1,3,0,0,102};
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Nd4jLong test[8] = {2,3,4,1,3,0,0,102};
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};
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class LeadingOnes : public testing::Test {
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public:
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Nd4jLong shapeBufferF[16] = {4,1,1,4,4,1,1,1,4,16384,1,102}; // shapes with data type DOUBLE
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Nd4jLong shapeBufferC[16] = {4,1,1,4,4,16,16,4,1,16384,1,99};
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int dimensionLength = 2;
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int dimension[2] = {2,3};
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Nd4jLong tadAssertionC[10] = {3,4,4,1,4,1,16,16384,1,99};
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Nd4jLong tadCAssertionF[10] = {3,4,4,1,1,4,1,16384,1,102};
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};
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TEST_F(LeadingOnes,OnesTest) {
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shape::TAD *cTad = new shape::TAD;
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cTad->init(shapeBufferC,dimension,dimensionLength);
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cTad->createTadOnlyShapeInfo();
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cTad->createOffsets();
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shape::TAD *fTad = new shape::TAD;
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fTad->init(shapeBufferF,dimension,dimensionLength);
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fTad->createTadOnlyShapeInfo();
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fTad->createOffsets();
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// shape::printShapeInfoLinear(cTad->tadOnlyShapeInfo);
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// shape::printShapeInfoLinear(fTad->tadOnlyShapeInfo);
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ASSERT_TRUE(arrsEquals(10, tadCAssertionF, fTad->tadOnlyShapeInfo));
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ASSERT_TRUE(arrsEquals(10, tadAssertionC, cTad->tadOnlyShapeInfo));
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delete cTad;
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delete fTad;
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}
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class NormalThreeFourFive : public testing::Test {
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public:
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Nd4jLong assertionBuffer[8] = {2, 3, 4, 20, 5, 16384, 0, 102};
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Nd4jLong inputShapeBuffer[10] = {3,3,4,5,20,5,1,16384,1,99};
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int dimensionLength = 2;
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int dimension[2] = {0,1};
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};
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TEST_F(NormalThreeFourFive,DimensionTest) {
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shape::TAD *tad = new shape::TAD;
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tad->init(inputShapeBuffer,dimension,dimensionLength);
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tad->createTadOnlyShapeInfo();
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tad->createOffsets();
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ASSERT_TRUE(arrsEquals(8,assertionBuffer,tad->tadOnlyShapeInfo));
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delete tad;
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}
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class DimensionWarning : public testing::Test {
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public:
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int dimensionLength = 2;
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int dimensions[2] = {0,1};
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Nd4jLong shape[3] = {1,5,1};
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Nd4jLong *shapeBuffer = nd4j::ShapeBuilders::createShapeInfo(nd4j::DataType::FLOAT32, 'c', 3, shape);
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~DimensionWarning() {
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delete[] shapeBuffer;
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}
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};
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TEST_F(DimensionWarning,ShapeWarning) {
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shape::TAD *tad = new shape::TAD;
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tad->init(shapeBuffer,dimensions,dimensionLength);
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tad->createTadOnlyShapeInfo();
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tad->createOffsets();
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delete tad;
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}
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class TadRank : public testing::Test {
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Nd4jLong shapeBuffer[12] = {4,2,1,3,3,9,9,3,1,0,1,99};
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int dimensionLength = 2;
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int dimension[2] = {2,3};
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};
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class TestRemoveIndex : public testing::Test {};
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class TestReverseCopy : public testing::Test {};
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class TestConcat : public testing::Test {};
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class SliceVectorTest : public testing::Test {};
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class SliceMatrixTest : public testing::Test {};
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class SliceTensorTest : public testing::Test {};
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class ElementWiseStrideTest : public testing::Test {
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public:
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Nd4jLong shape[3] = {3,4,5};
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Nd4jLong stride[2] = {20,5};
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int elementWiseStrideAssertion = -1;
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};
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class PermuteTest : public testing::Test{};
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class LengthPerSliceTest : public testing::Test{};
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class ExpectedValuesTest : public testing::Test {
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public:
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Nd4jLong mainShape[4] = {9,7,5,3};
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int testDimensions[3] = {0,2,3};
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};
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class BeginOneTadTest : public testing::Test {
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public:
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Nd4jLong assertionShapeBuffer[8] = {2,3,5,1,3,16384,1,102};
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Nd4jLong inputShapeBuffer[10] = {3,1,3,5,1,1,3,16384,0,102};
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int dimensionLength = 2;
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int dimension[2] = {1,2};
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//error: [2,1,1,1,1,0,1,97]
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};
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class FourDTest : public testing::Test {
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/**
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* INDArray array3d = Nd4j.ones(1, 10, 10);
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array3d.sum(1);
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INDArray array4d = Nd4j.ones(1, 10, 10, 10);
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INDArray sum40 = array4d.sum(0);
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*/
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public:
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Nd4jLong threeDShape[3] = {1,10,10};
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Nd4jLong fourDShape[4] = {1,10,10,10};
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Nd4jLong *threeDShapeBuffer = nullptr,*fourDShapeBuffer = nullptr;
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int dimensionThree = 1;
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int dimensionThreeTwo = 0;
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int dimensionFour = 0;
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int dimensionLength = 1;
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FourDTest() {
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threeDShapeBuffer = nd4j::ShapeBuilders::createShapeInfo(nd4j::DataType::FLOAT32, 'f', 3, threeDShape);
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fourDShapeBuffer = nd4j::ShapeBuilders::createShapeInfo(nd4j::DataType::FLOAT32, 'f', 4, fourDShape);
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}
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~FourDTest() {
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if(threeDShapeBuffer != nullptr)
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delete[] threeDShapeBuffer;
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if(fourDShapeBuffer != nullptr)
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delete[] fourDShapeBuffer;
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}
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};
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TEST_F(FourDTest,ThreeDFourDTest) {
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shape::TAD *threeTadTwo = new shape::TAD;
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threeTadTwo->init(threeDShapeBuffer,&dimensionThreeTwo,dimensionLength);
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threeTadTwo->createTadOnlyShapeInfo();
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threeTadTwo->createOffsets();
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shape::TAD *threeTad = new shape::TAD;
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threeTad->init(threeDShapeBuffer,&dimensionThree,dimensionLength);
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threeTad->createTadOnlyShapeInfo();
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threeTad->createOffsets();
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shape::TAD *fourTad = new shape::TAD;
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fourTad->init(fourDShapeBuffer,&dimensionFour,dimensionLength);
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fourTad->createTadOnlyShapeInfo();
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fourTad->createOffsets();
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delete threeTadTwo;
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delete threeTad;
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delete fourTad;
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}
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class RowVectorOnesTest : public testing::Test {
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public:
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Nd4jLong shapeBuffer[12] = {4,4,3,1,1,3,1,1,1,8192,1,99}; // float32 type of shape
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float data[12] = {1,2,3,4,5,6,7,8,9,10,11,12};
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Nd4jLong assertionBuffer[10] = {3,4,1,1,3,1,1,8192,0,99};
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int dimensionLength = 3;
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int dimension[3] = {0,2,3};
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};
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// TEST_F(RowVectorOnesTest,TadShape) {
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// shape::TAD *tad = new shape::TAD(shapeBuffer,dimension,dimensionLength);
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// tad->createTadOnlyShapeInfo();
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// tad ->createOffsets();
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// ASSERT_TRUE(arrsEquals(10,assertionBuffer,tad->tadOnlyShapeInfo));
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// delete tad;
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// }
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class SixDTest : public testing::Test {
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public:
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Nd4jLong inputShapeBuffer[16] = {6,1,1,4,4,4,4,1,1,1,4,16,64,16384,1,102}; // shape with double data type
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int dimensionLength = 2;
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int dimension[2] = {2,3};
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Nd4jLong assertionShapeBuffer[8] = {2,4,4,1,4,16384,1,102}; // also double typed shape
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};
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TEST_F(SixDTest, SixDWithOnes) {
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shape::TAD *tad = new shape::TAD;
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tad->init(inputShapeBuffer,dimension,dimensionLength);
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tad->createTadOnlyShapeInfo();
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tad->createOffsets();
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// shape::printShapeInfoLinear(inputShapeBuffer);
|
|
// shape::printShapeInfoLinear(tad->tadOnlyShapeInfo);
|
|
//[2,1,1,1,1,0,1,97]
|
|
ASSERT_TRUE(arrsEquals(8,assertionShapeBuffer,tad->tadOnlyShapeInfo));
|
|
delete tad;
|
|
}
|
|
|
|
class TrailingTest : public testing::Test {
|
|
public:
|
|
Nd4jLong inputShapeBuffer[12] = {4,5,5,5,1,1,5,25,125,16384,1,102};
|
|
int dimensionLength = 1;
|
|
int dimension[1] = {0};
|
|
Nd4jLong assertionShapeBuffer[8] = {2,1,5,125,1,16384,1,102};
|
|
};
|
|
|
|
TEST_F(TrailingTest,TrailingTest2) {
|
|
shape::TAD *tad = new shape::TAD;
|
|
tad->init(inputShapeBuffer,dimension,dimensionLength);
|
|
tad->createTadOnlyShapeInfo();
|
|
tad->createOffsets();
|
|
//[2,1,1,1,1,0,1,97]
|
|
ASSERT_TRUE(arrsEquals(8,assertionShapeBuffer,tad->tadOnlyShapeInfo));
|
|
delete tad;
|
|
}
|
|
|
|
|
|
class ScalarTest : public testing::Test {
|
|
public:
|
|
Nd4jLong inputShapeBuffer[12] = {3,2,3,4,12,4,1,16384,1,99};
|
|
int dimensionLength = 1;
|
|
int dimension[1] = {1};
|
|
Nd4jLong assertionShapeBuffer[8] = {2,1,1,1,1,16384,1,99};
|
|
};
|
|
/*
|
|
TEST_F(ScalarTest,ScalarTest2) {
|
|
shape::TAD *tad = new shape::TAD(inputShapeBuffer,dimension,dimensionLength);
|
|
tad->createTadOnlyShapeInfo();
|
|
tad ->createOffsets();
|
|
//[2,1,1,1,1,0,1,97]
|
|
shape::printShapeInfoLinear(tad->tadOnlyShapeInfo);
|
|
ASSERT_TRUE(arrsEquals(8,assertionShapeBuffer,tad->tadOnlyShapeInfo));
|
|
}
|
|
*/
|
|
|
|
|
|
|
|
class ThreeTest : public testing::Test {
|
|
public:
|
|
Nd4jLong inputShapeBuffer[10] = {3,4,3,2,6,2,1,16384,1,99};
|
|
int dimensionLength = 1;
|
|
int dimension[1] = {0};
|
|
Nd4jLong assertionShapeBuffer[8] = {2,1,4,1,6,16384,6,99};
|
|
};
|
|
|
|
TEST_F(ThreeTest,ThreeTest ) {
|
|
shape::TAD *tad = new shape::TAD;
|
|
tad->init(inputShapeBuffer,dimension,dimensionLength);
|
|
tad->createTadOnlyShapeInfo();
|
|
tad->createOffsets();
|
|
//[2,1,1,1,1,0,1,97]
|
|
ASSERT_TRUE(arrsEquals(8,assertionShapeBuffer,tad->tadOnlyShapeInfo));
|
|
delete tad;
|
|
}
|
|
|
|
|
|
TEST_F(BeginOneTadTest, TadTest) {
|
|
shape::TAD *tad = new shape::TAD;
|
|
tad->init(inputShapeBuffer,dimension,dimensionLength);
|
|
tad->createTadOnlyShapeInfo();
|
|
auto tadShapeBuffer = tad->tadOnlyShapeInfo;
|
|
// shape::printShapeInfoLinear(tadShapeBuffer);
|
|
//[2,1,1,1,1,0,1,97]
|
|
ASSERT_TRUE(arrsEquals(8,assertionShapeBuffer,tadShapeBuffer));
|
|
|
|
delete tad;
|
|
}
|
|
|
|
/*
|
|
TEST_F(OnesTest,OnesTadTest) {
|
|
shape::TAD *tad = new shape::TAD(shapeBuffer,dimension,dimensionLength);
|
|
int *tadShapeBuffer = tad->shapeInfoOnlyShapeAndStride();
|
|
ASSERT_TRUE(arrsEquals(10,tadAssertionShape,tadShapeBuffer));
|
|
delete[] tadShapeBuffer;
|
|
}
|
|
*/
|
|
|
|
TEST_F(LabelTest,LabelTad) {
|
|
shape::TAD *tad = new shape::TAD;
|
|
tad->init(shapeInfo,dimension,dimensionLength);
|
|
tad->createTadOnlyShapeInfo();
|
|
auto tadShapeInfo = tad->tadOnlyShapeInfo;
|
|
ASSERT_TRUE(arrsEquals(8,tadShapeInfoAssert,tadShapeInfo));
|
|
|
|
delete tad;
|
|
}
|
|
|
|
TEST_F(ExpectedValuesTest,TadTest) {
|
|
auto shapeBuffer = nd4j::ShapeBuilders::createShapeInfo(nd4j::DataType::FLOAT32, 'c', 4, mainShape);
|
|
shape::TAD *tad = new shape::TAD;
|
|
tad->init(shapeBuffer,testDimensions,3);
|
|
tad->createTadOnlyShapeInfo();
|
|
auto shapeInfo = tad->tadOnlyShapeInfo;
|
|
|
|
delete tad;
|
|
delete[] shapeBuffer;
|
|
}
|
|
|
|
TEST_F(OrderTest,testOrder) {
|
|
int rank = shape::rank(expected);
|
|
auto expectedShape = shape::shapeOf(expected);
|
|
auto expectedStride = shape::stride(expected);
|
|
int realOrder = shape::getOrder(rank,expectedShape,expectedStride,1);
|
|
int expectedOrder = 102;
|
|
ASSERT_EQ(expectedOrder,realOrder);
|
|
}
|
|
|
|
|
|
TEST_F(ThreeDTest,TensorAlongDimensionTest) {
|
|
int dimension[2] = {0,2};
|
|
Nd4jLong tadShapeAssertion[2] = {3,5};
|
|
Nd4jLong strideAssertion[2] = {20,1};
|
|
shape::TAD *tad = new shape::TAD;
|
|
tad->init(0,this->shapeBuffer,dimension,2);
|
|
tad->createTadOnlyShapeInfo();
|
|
auto shapeBufferTest = tad->tadOnlyShapeInfo;
|
|
auto shapeTest = shape::shapeOf(shapeBufferTest);
|
|
auto strideTest = shape::stride(shapeBufferTest);
|
|
ASSERT_TRUE(arrsEquals(2,tadShapeAssertion,shapeTest));
|
|
ASSERT_TRUE(arrsEquals(2,strideAssertion,strideTest));
|
|
delete tad;
|
|
}
|
|
|
|
|
|
TEST_F(NumTadTests,TadTest) {
|
|
auto shape = nd4j::ShapeBuilders::createShapeInfo(nd4j::DataType::FLOAT32, 'c', 3, this->shape);
|
|
shape::TAD *tad = new shape::TAD;
|
|
tad->init(shape,&dimension,1);
|
|
int numTads = shape::tensorsAlongDimension(shape,&dimension,1);
|
|
ASSERT_EQ(20,numTads);
|
|
delete[] shape;
|
|
delete tad;
|
|
}
|
|
|
|
TEST_F(TADStall,TestStall) {
|
|
auto shapeInfo = nd4j::ShapeBuilders::createShapeInfo(nd4j::DataType::FLOAT32, 'c', 4, shape);
|
|
shape::TAD *tad = new shape::TAD;
|
|
tad->init(0,shapeInfo,this->dimensions,3);
|
|
tad->createTadOnlyShapeInfo();
|
|
Nd4jLong *test = tad->tadOnlyShapeInfo;
|
|
|
|
delete[] shapeInfo;
|
|
delete tad;
|
|
}
|
|
|
|
|
|
TEST_F(LengthPerSliceTest,TestLengthPerSlice) {
|
|
Nd4jLong firstShape[2] = {5,3};
|
|
int lengthPerSliceAssertionFirst = 3;
|
|
int firstDimension = 0;
|
|
int lengthPerSliceTest = shape::lengthPerSlice(2,firstShape,&firstDimension,1);
|
|
ASSERT_EQ(lengthPerSliceAssertionFirst,lengthPerSliceTest);
|
|
}
|
|
|
|
TEST_F(PermuteTest,PermuteShapeBufferTest) {
|
|
int permuteOrder[4] = {3,2,1,0};
|
|
int normalOrder[4] = {0,1,2,3};
|
|
Nd4jLong shapeToPermute[4] = {5,3,2,6};
|
|
Nd4jLong permutedOrder[4] = {6,2,3,5};
|
|
auto shapeBufferOriginal = nd4j::ShapeBuilders::createShapeInfo(nd4j::DataType::FLOAT32, 'c', 4, shapeToPermute);
|
|
auto assertionShapeBuffer = nd4j::ShapeBuilders::createShapeInfo(nd4j::DataType::FLOAT32, 'c', 4, shapeToPermute);
|
|
shape::permuteShapeBufferInPlace(shapeBufferOriginal,normalOrder,shapeBufferOriginal);
|
|
EXPECT_TRUE(arrsEquals(4,assertionShapeBuffer,shapeBufferOriginal));
|
|
|
|
auto backwardsAssertion = nd4j::ShapeBuilders::createShapeInfo(nd4j::DataType::FLOAT32, 'c', 4, permutedOrder);
|
|
auto permuted = shape::permuteShapeBuffer(assertionShapeBuffer, permuteOrder);
|
|
EXPECT_TRUE(arrsEquals(4, backwardsAssertion, permuted));
|
|
|
|
|
|
delete[] permuted;
|
|
delete[] backwardsAssertion;
|
|
delete[] shapeBufferOriginal;
|
|
delete[] assertionShapeBuffer;
|
|
}
|
|
|
|
TEST_F(ElementWiseStrideTest,ElementWiseStrideTest) {
|
|
|
|
}
|
|
|
|
TEST_F(SliceVectorTest,RowColumnVectorTest) {
|
|
Nd4jLong rowVectorShape[2] = {1,5};
|
|
auto rowVectorShapeInfo = nd4j::ShapeBuilders::createShapeInfo(nd4j::DataType::FLOAT32, 'c', 2, rowVectorShape);
|
|
Nd4jLong colVectorShape[2] = {5,1};
|
|
auto colVectorShapeInfo = nd4j::ShapeBuilders::createShapeInfo(nd4j::DataType::FLOAT32, 'c', 2, colVectorShape);
|
|
Nd4jLong *sliceRow = shape::sliceOfShapeBuffer(0,rowVectorShapeInfo);
|
|
EXPECT_TRUE(arrsEquals(2,rowVectorShapeInfo,sliceRow));
|
|
Nd4jLong *scalarSliceInfo = shape::createScalarShapeInfo();
|
|
Nd4jLong *scalarColumnAssertion = shape::createScalarShapeInfo();
|
|
scalarColumnAssertion[shape::shapeInfoLength(2) - 3] = 1;
|
|
Nd4jLong *scalarColumnTest = shape::sliceOfShapeBuffer(1L,colVectorShapeInfo);
|
|
EXPECT_TRUE(arrsEquals(2,scalarColumnAssertion,scalarColumnTest));
|
|
|
|
delete[] scalarColumnTest;
|
|
delete[] scalarColumnAssertion;
|
|
delete[] scalarSliceInfo;
|
|
delete[] sliceRow;
|
|
delete[] rowVectorShapeInfo;
|
|
delete[] colVectorShapeInfo;
|
|
}
|
|
|
|
TEST_F(SliceTensorTest,TestSlice) {
|
|
Nd4jLong shape[3] = {3,3,2};
|
|
auto shapeBuffer = nd4j::ShapeBuilders::createShapeInfo(nd4j::DataType::FLOAT32, 'c', 3, shape);
|
|
Nd4jLong sliceShape[2] = {3,2};
|
|
auto sliceShapeBuffer = nd4j::ShapeBuilders::createShapeInfo(nd4j::DataType::FLOAT32, 'c', 2, sliceShape);
|
|
Nd4jLong *testSlice = shape::sliceOfShapeBuffer(0,shapeBuffer);
|
|
EXPECT_TRUE(arrsEquals(2,sliceShapeBuffer,testSlice));
|
|
delete[] testSlice;
|
|
delete[] shapeBuffer;
|
|
delete[] sliceShapeBuffer;
|
|
|
|
}
|
|
|
|
TEST_F(SliceMatrixTest,TestSlice) {
|
|
Nd4jLong shape[2] = {3,2};
|
|
auto shapeBuffer = nd4j::ShapeBuilders::createShapeInfo(nd4j::DataType::FLOAT32, 'c', 2, shape);
|
|
Nd4jLong sliceShape[2] = {1,2};
|
|
auto sliceShapeBuffer = nd4j::ShapeBuilders::createShapeInfo(nd4j::DataType::FLOAT32, 'c', 2, sliceShape);
|
|
Nd4jLong *testSlice = shape::sliceOfShapeBuffer(0,shapeBuffer);
|
|
EXPECT_TRUE(arrsEquals(2,sliceShapeBuffer,testSlice));
|
|
delete[] testSlice;
|
|
delete[] shapeBuffer;
|
|
delete[] sliceShapeBuffer;
|
|
|
|
}
|
|
|
|
|
|
TEST_F(TestConcat,ConcatTest) {
|
|
Nd4jLong firstArr[2] = {1,2};
|
|
Nd4jLong secondConcat[2] = {3,4};
|
|
Nd4jLong concatAssertion[4] = {1,2,3,4};
|
|
Nd4jLong *concatTest = shape::concat(firstArr,2,secondConcat,2);
|
|
EXPECT_TRUE(arrsEquals(4,concatAssertion,concatTest));
|
|
delete[] concatTest;
|
|
}
|
|
|
|
TEST_F(TestReverseCopy,ReverseCopyTest) {
|
|
Nd4jLong toCopy[5] = {0,1,2,3,4};
|
|
Nd4jLong reverseAssertion[5] = {4,3,2,1,0};
|
|
Nd4jLong *reverseCopyTest = shape::reverseCopy(toCopy,5);
|
|
EXPECT_TRUE(arrsEquals(5,reverseAssertion,reverseCopyTest));
|
|
delete[] reverseCopyTest;
|
|
}
|
|
|
|
TEST_F(TestRemoveIndex,Remove) {
|
|
Nd4jLong input[5] = {0,1,2,3,4};
|
|
Nd4jLong indexesToRemove[3] = {0,1,2};
|
|
Nd4jLong indexesToRemoveAssertion[2] = {3,4};
|
|
Nd4jLong *indexesToRemoveTest = shape::removeIndex<Nd4jLong>(input,indexesToRemove, (Nd4jLong) 5, (Nd4jLong) 3);
|
|
EXPECT_TRUE(arrsEquals(2,indexesToRemoveAssertion,indexesToRemoveTest));
|
|
delete[] indexesToRemoveTest;
|
|
}
|
|
|
|
TEST_F(TensorTwoFromFourDDimTest,TadTwoFromFourDimTest) {
|
|
//Along dimension 0,1: expect matrix with shape [rows,cols]
|
|
//Along dimension 0,2: expect matrix with shape [rows,dim2]
|
|
//Along dimension 0,3: expect matrix with shape [rows,dim3]
|
|
//Along dimension 1,2: expect matrix with shape [cols,dim2]
|
|
//Along dimension 1,3: expect matrix with shape [cols,dim3]
|
|
//Along dimension 2,3: expect matrix with shape [dim2,dim3]
|
|
auto baseShapeBuffer = nd4j::ShapeBuilders::createShapeInfo(nd4j::DataType::FLOAT32, 'c', 4, shape);
|
|
for(int i = 0; i < 3; i++) {
|
|
int *dimArr = dims[i];
|
|
Nd4jLong *expectedShape = expectedShapes[i];
|
|
shape::TAD *tad = new shape::TAD;
|
|
tad->init(baseShapeBuffer,dimArr,dimensionLength);
|
|
auto expectedShapeBuffer = nd4j::ShapeBuilders::createShapeInfo(nd4j::DataType::FLOAT32, 'c', dimensionLength, expectedShape);
|
|
tad->createTadOnlyShapeInfo();
|
|
Nd4jLong *testShapeBuffer = tad->tadOnlyShapeInfo;
|
|
EXPECT_TRUE(arrsEquals(shape::rank(expectedShapeBuffer),expectedShape,shape::shapeOf(testShapeBuffer)));
|
|
EXPECT_TRUE(arrsEquals(shape::rank(expectedShapeBuffer),expectedStrides[i],shape::stride(testShapeBuffer)));
|
|
|
|
delete[] expectedShapeBuffer;
|
|
delete tad;
|
|
}
|
|
|
|
delete[] baseShapeBuffer;
|
|
}
|
|
|
|
TEST_F(TensorTwoDimTest,TadTwoDimTest) {
|
|
//Along dimension 0,1: expect matrix with shape [rows,cols]
|
|
//Along dimension 0,2: expect matrix with shape [rows,dim2]
|
|
//Along dimension 1,2: expect matrix with shape [cols,dim2]
|
|
auto baseShapeBuffer = nd4j::ShapeBuilders::createShapeInfo(nd4j::DataType::FLOAT32, 'c', 3, shape);
|
|
|
|
for(int i = 0; i < 3; i++) {
|
|
int *dimArr = dims[i];
|
|
Nd4jLong *expectedShape = expectedShapes[i];
|
|
shape::TAD *tad = new shape::TAD;
|
|
tad->init(baseShapeBuffer,dimArr,dimensionLength);
|
|
auto expectedShapeBuffer = nd4j::ShapeBuilders::createShapeInfo(nd4j::DataType::FLOAT32, 'c', dimensionLength, expectedShape);
|
|
tad->createTadOnlyShapeInfo();
|
|
Nd4jLong *testShapeBuffer = tad->tadOnlyShapeInfo;
|
|
Nd4jLong *expectedStride = expectedStrides[i];
|
|
Nd4jLong *testShape = shape::shapeOf(testShapeBuffer);
|
|
Nd4jLong *testStride = shape::stride(testShapeBuffer);
|
|
EXPECT_TRUE(arrsEquals(shape::rank(expectedShapeBuffer),expectedShape,testShape));
|
|
EXPECT_TRUE(arrsEquals(shape::rank(testShapeBuffer),expectedStride,testStride));
|
|
|
|
delete[] expectedShapeBuffer;
|
|
delete tad;
|
|
|
|
}
|
|
|
|
delete[] baseShapeBuffer;
|
|
|
|
|
|
}
|
|
|
|
TEST_F(TensorOneDimTest,TadDimensionsForTensor) {
|
|
Nd4jLong shape[3] = {rows,cols,dim2};
|
|
auto shapeBuffer = nd4j::ShapeBuilders::createShapeInfo(nd4j::DataType::FLOAT32, 'c', rank, shape);
|
|
|
|
for(int i = 0; i < rank; i++) {
|
|
//Along dimension 0: expect row vector with length 'dims[i]'
|
|
shape::TAD *zero = new shape::TAD;
|
|
zero->init(shapeBuffer,&dims[i],1);
|
|
zero->createTadOnlyShapeInfo();
|
|
Nd4jLong *testDimZeroShapeBuffer = zero->tadOnlyShapeInfo;
|
|
Nd4jLong *testShape = shape::shapeOf(testDimZeroShapeBuffer);
|
|
Nd4jLong *testStride = shape::stride(testDimZeroShapeBuffer);
|
|
EXPECT_TRUE(arrsEquals(2,expectedShapes[i],testShape));
|
|
EXPECT_TRUE(arrsEquals(2,expectedStrides[i],testStride));
|
|
|
|
delete zero;
|
|
}
|
|
|
|
delete[] shapeBuffer;
|
|
}
|
|
|
|
|
|
TEST_F(MatrixTest,TadDimensionsForMatrix) {
|
|
Nd4jLong shape[2] = {rows,cols};
|
|
auto shapeBuffer = nd4j::ShapeBuilders::createShapeInfo(nd4j::DataType::FLOAT32, 'c', rank, shape);
|
|
|
|
shape::TAD *dimZero = new shape::TAD;
|
|
dimZero->init(shapeBuffer,&dims[0],1);
|
|
shape::TAD *dimOne = new shape::TAD;
|
|
dimOne->init(shapeBuffer,&dims[1],1);
|
|
//Along dimension 0: expect row vector with length 'rows'
|
|
Nd4jLong rowVectorShape[2] = {1,rows};
|
|
auto expectedDimZeroShape = nd4j::ShapeBuilders::createShapeInfo(nd4j::DataType::FLOAT32, 'c', 2, rowVectorShape);
|
|
dimZero->createTadOnlyShapeInfo();
|
|
Nd4jLong *testDimZero = dimZero->tadOnlyShapeInfo;
|
|
EXPECT_TRUE(arrsEquals(2,expectedShapes[0],shape::shapeOf(testDimZero)));
|
|
EXPECT_TRUE(arrsEquals(2,expectedStrides[0],shape::stride(testDimZero)));
|
|
|
|
delete[] expectedDimZeroShape;
|
|
//Along dimension 1: expect row vector with length 'cols'
|
|
Nd4jLong rowVectorColShape[2] {1,cols};
|
|
auto expectedDimOneShape = nd4j::ShapeBuilders::createShapeInfo(nd4j::DataType::FLOAT32, 'c', 2, rowVectorColShape);
|
|
dimOne->createTadOnlyShapeInfo();
|
|
Nd4jLong *testDimOneShape = dimOne->tadOnlyShapeInfo;
|
|
EXPECT_TRUE(arrsEquals(2,expectedShapes[1],shape::shapeOf(testDimOneShape)));
|
|
EXPECT_TRUE(arrsEquals(2,expectedStrides[1],shape::stride(testDimOneShape)));
|
|
|
|
delete[] expectedDimOneShape;
|
|
delete dimOne;
|
|
delete dimZero;
|
|
delete[] shapeBuffer;
|
|
}
|
|
|
|
TEST_F(VectorTest,VectorTadShape) {
|
|
Nd4jLong rowVector[2] = {2,2};
|
|
auto rowBuffer = nd4j::ShapeBuilders::createShapeInfo(nd4j::DataType::FLOAT32, 'c', 2, rowVector);
|
|
int rowDimension = 1;
|
|
|
|
Nd4jLong columnVector[2] = {2,2};
|
|
auto colShapeBuffer = nd4j::ShapeBuilders::createShapeInfo(nd4j::DataType::FLOAT32, 'c', 2, columnVector);
|
|
int colDimension = 0;
|
|
|
|
|
|
shape::TAD *rowTad = new shape::TAD;
|
|
rowTad->init(rowBuffer,&rowDimension,1);
|
|
rowTad->createTadOnlyShapeInfo();
|
|
Nd4jLong *rowTadShapeBuffer = rowTad->tadOnlyShapeInfo;
|
|
Nd4jLong *rowTadShape = shape::shapeOf(rowTadShapeBuffer);
|
|
shape::TAD *colTad = new shape::TAD;
|
|
colTad->init(colShapeBuffer,&colDimension,1);
|
|
colTad->createTadOnlyShapeInfo();
|
|
Nd4jLong *colTadShapeBuffer = colTad->tadOnlyShapeInfo;
|
|
Nd4jLong *colTadShape = shape::shapeOf(colTadShapeBuffer);
|
|
Nd4jLong assertionShape[2] = {1,2};
|
|
Nd4jLong assertionStride[2] = {1,1};
|
|
EXPECT_TRUE(arrsEquals(2,assertionShape,rowTadShape));
|
|
EXPECT_TRUE(arrsEquals(2,assertionStride,shape::stride(rowTadShapeBuffer)));
|
|
EXPECT_TRUE(arrsEquals(2,assertionShape,colTadShape));
|
|
|
|
delete[] rowBuffer;
|
|
delete[] colShapeBuffer;
|
|
delete rowTad;
|
|
delete colTad;
|
|
}
|
|
|
|
|
|
|
|
|
|
TEST_F(ShapeTest,IsVector) {
|
|
ASSERT_TRUE(shape::isVector(vectorShape,2));
|
|
}
|
|
|
|
TEST_F(VectorTest,LinspaceCombinationTest) {
|
|
int rows = 3;
|
|
int cols = 4;
|
|
int len = rows * cols;
|
|
double *linspaced = linspace<double>(1,rows * cols,len);
|
|
Nd4jLong shape[2] = {rows,cols};
|
|
auto shapeBuffer = nd4j::ShapeBuilders::createShapeInfo(nd4j::DataType::FLOAT32, 'c', 2, shape);
|
|
|
|
delete[] shapeBuffer;
|
|
delete[] linspaced;
|
|
} |