cavis/libnd4j/tests_cpu/layers_tests/ScalarTests.cpp

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/*******************************************************************************
* Copyright (c) 2015-2018 Skymind, Inc.
*
* This program and the accompanying materials are made available under the
* terms of the Apache License, Version 2.0 which is available at
* https://www.apache.org/licenses/LICENSE-2.0.
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
* WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
* License for the specific language governing permissions and limitations
* under the License.
*
* SPDX-License-Identifier: Apache-2.0
******************************************************************************/
//
// @author raver119@gmail.com
//
#include "testlayers.h"
#include <ops/declarable/CustomOperations.h>
#include <array/NDArray.h>
#include <legacy/NativeOps.h>
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#include <helpers/BitwiseUtils.h>
using namespace sd;
using namespace sd::graph;
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class ScalarTests : public testing::Test {
public:
};
TEST_F(ScalarTests, Test_Create_1) {
auto x = NDArrayFactory::create<float>(2.0f);
ASSERT_EQ(0, x.rankOf());
ASSERT_EQ(1, x.lengthOf());
ASSERT_TRUE(x.isScalar());
ASSERT_FALSE(x.isVector());
ASSERT_FALSE(x.isRowVector());
ASSERT_FALSE(x.isColumnVector());
ASSERT_FALSE(x.isMatrix());
}
TEST_F(ScalarTests, Test_Add_1) {
auto x = NDArrayFactory::create<float>(2.0f);
auto exp = NDArrayFactory::create<float>(5.0f);
x += 3.0f;
ASSERT_NEAR(5.0f, x.e<float>(0), 1e-5f);
ASSERT_TRUE(exp.isSameShape(&x));
ASSERT_TRUE(exp.equalsTo(&x));
}
TEST_F(ScalarTests, Test_Add_2) {
auto x = NDArrayFactory::create<float>(2.0f);
auto y = NDArrayFactory::create<float>(3.0f);
auto exp = NDArrayFactory::create<float>(5.0f);
x += y;
ASSERT_NEAR(5.0f, x.e<float>(0), 1e-5f);
ASSERT_TRUE(exp.isSameShape(&x));
ASSERT_TRUE(exp.equalsTo(&x));
}
TEST_F(ScalarTests, Test_Add_3) {
auto x = NDArrayFactory::create<float>('c', {3}, {1, 2, 3});
auto y = NDArrayFactory::create<float>(3.0f);
auto exp = NDArrayFactory::create<float>('c', {3}, {4, 5, 6});
x += y;
ASSERT_TRUE(exp.isSameShape(&x));
ASSERT_TRUE(exp.equalsTo(&x));
}
TEST_F(ScalarTests, Test_EQ_1) {
auto x = NDArrayFactory::create<float>(2.0f);
auto y = NDArrayFactory::create<float>(3.0f);
ASSERT_TRUE(y.isSameShape(&x));
ASSERT_FALSE(y.equalsTo(&x));
}
TEST_F(ScalarTests, Test_Concat_1) {
auto t = NDArrayFactory::create<float>(1.0f);
auto u = NDArrayFactory::create<float>(2.0f);
auto v = NDArrayFactory::create<float>(3.0f);
auto exp = NDArrayFactory::create<float>('c', {3}, {1, 2, 3});
sd::ops::concat op;
auto result = op.evaluate({&t, &u, &v}, {}, {0});
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ASSERT_EQ(ND4J_STATUS_OK, result->status());
auto z = result->at(0);
ASSERT_TRUE(exp.isSameShape(z));
ASSERT_TRUE(exp.equalsTo(z));
delete result;
}
TEST_F(ScalarTests, Test_Concat_2) {
auto t = NDArrayFactory::create<float>(1.0f);
auto u = NDArrayFactory::create<float>('c', {3}, {2, 3, 4});
auto v = NDArrayFactory::create<float>(5.0f);
auto exp = NDArrayFactory::create<float>('c', {5}, {1, 2, 3, 4, 5});
sd::ops::concat op;
auto result = op.evaluate({&t, &u, &v}, {}, {0});
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ASSERT_EQ(ND4J_STATUS_OK, result->status());
auto z = result->at(0);
// z->printIndexedBuffer();
ASSERT_TRUE(exp.isSameShape(z));
ASSERT_TRUE(exp.equalsTo(z));
delete result;
}
TEST_F(ScalarTests, Test_Concat_3) {
auto t = NDArrayFactory::create<float>('c', {3}, {1, 2, 3});
auto u = NDArrayFactory::create<float>(4.0f);
auto v = NDArrayFactory::create<float>(5.0f);
auto exp = NDArrayFactory::create<float>('c', {5}, {1, 2, 3, 4, 5});
sd::ops::concat op;
auto result = op.evaluate({&t, &u, &v}, {}, {0});
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ASSERT_EQ(ND4J_STATUS_OK, result->status());
auto z = result->at(0);
//z->printShapeInfo("z");
ASSERT_TRUE(exp.isSameShape(z));
ASSERT_TRUE(exp.equalsTo(z));
delete result;
}
TEST_F(ScalarTests, Test_ExpandDims_1) {
auto x = NDArrayFactory::create<float>(2.0f);
auto exp = NDArrayFactory::create<float>('c', {1}, {2.0f});
sd::ops::expand_dims op;
auto result = op.evaluate({&x}, {}, {0});
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ASSERT_EQ(ND4J_STATUS_OK, result->status());
auto z = result->at(0);
ASSERT_TRUE(exp.isSameShape(z));
ASSERT_TRUE(exp.equalsTo(z));
delete result;
}
TEST_F(ScalarTests, Test_Squeeze_1) {
auto x = NDArrayFactory::create<float>(2.0f);
auto exp = NDArrayFactory::create<float>(2.0f);
sd::ops::squeeze op;
auto result = op.evaluate({&x}, {}, {});
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ASSERT_EQ(ND4J_STATUS_OK, result->status());
auto z = result->at(0);
ASSERT_TRUE(exp.isSameShape(z));
ASSERT_TRUE(exp.equalsTo(z));
delete result;
}
TEST_F(ScalarTests, Test_Reshape_1) {
auto x = NDArrayFactory::create<float>(2.0f);
auto exp = NDArrayFactory::create<float>('c', {1, 1, 1}, {2.0f});
sd::ops::reshape op;
auto result = op.evaluate({&x}, {}, {-99, 1, 1, 1});
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ASSERT_EQ(ND4J_STATUS_OK, result->status());
auto z = result->at(0);
ASSERT_TRUE(exp.isSameShape(z));
ASSERT_TRUE(exp.equalsTo(z));
delete result;
}
TEST_F(ScalarTests, Test_Permute_1) {
auto x = NDArrayFactory::create<float>(3.0f);
auto exp = NDArrayFactory::create<float>(3.0f);
sd::ops::permute op;
auto result = op.evaluate({&x}, {}, {0});
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ASSERT_EQ(ND4J_STATUS_OK, result->status());
auto z = result->at(0);
ASSERT_TRUE(exp.isSameShape(z));
ASSERT_TRUE(exp.equalsTo(z));
delete result;
}
TEST_F(ScalarTests, Test_Concat_Scalar_1) {
auto t = NDArrayFactory::create<float>('c', {1, 1}, {1.0f});
auto u = NDArrayFactory::create<float>('c', {1, 1}, {2.0f});
auto v = NDArrayFactory::create<float>('c', {1, 1}, {3.0f});
auto w = NDArrayFactory::create<float>('c', {1, 1}, {4.0f});
auto exp = NDArrayFactory::create<float>('c', {4, 1}, {1, 2, 3, 4});
sd::ops::concat op;
auto result = op.evaluate({&t, &u, &v, &w}, {}, {0});
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ASSERT_EQ(ND4J_STATUS_OK, result->status());
profiling of stack and unstack ops (#261) * - profiling of stack and unstack ops Signed-off-by: Yurii <iuriish@yahoo.com> * - fix bug in cpu concat op Signed-off-by: Yurii <iuriish@yahoo.com> * - correction of cuda stack and unstack Signed-off-by: Yurii <iuriish@yahoo.com> * - change shape.h method which operates with unity dimensions strides Signed-off-by: Yurii <iuriish@yahoo.com> * - rearrange stack tests Signed-off-by: Yurii <iuriish@yahoo.com> * - correct evaluation of smallest stride for moving through contiguous axis Signed-off-by: Yurii <iuriish@yahoo.com> * - forgot to update signature of function strideOverContigAxis in cuda concat and split ops Signed-off-by: Yurii <iuriish@yahoo.com> * - remove ShapeUtils::shapeAsString method applied before input arrays validations Signed-off-by: Yurii <iuriish@yahoo.com> * - further removing of ShapeUtils::shapeAsString Signed-off-by: Yurii <iuriish@yahoo.com> * - take sub-array shapeIndo/offset calculation out of NDArray class - add possibility of contiguous memory copy in execTransformAny op if opNum == assign Signed-off-by: Yurii <iuriish@yahoo.com> * - correct test_empty_scatter_2 in EmptyTests.cpp Signed-off-by: Yurii <iuriish@yahoo.com> * - profiling of slice op Signed-off-by: Yurii <iuriish@yahoo.com> * - get rid of contiguous memcpy for some cases in concat and split ops Signed-off-by: Yurii <iuriish@yahoo.com> * - forgot to declare oid nd4j::SpecialMethods<T>::splitCpuGeneric Signed-off-by: Yurii <iuriish@yahoo.com> * - correct typo in calculation of threads in cuda split op Signed-off-by: Yurii <iuriish@yahoo.com> * - forgot to correct another set of threads variables in split cuda ops Signed-off-by: Yurii <iuriish@yahoo.com> * - further conflicts resolving Signed-off-by: Yurii <iuriish@yahoo.com> Co-authored-by: raver119 <raver119@gmail.com>
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auto z = result->at(0);
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ASSERT_TRUE(exp.isSameShape(z));
ASSERT_TRUE(exp.equalsTo(z));
delete result;
}
TEST_F(ScalarTests, Test_Concat_Scalar_2) {
auto t = NDArrayFactory::create<float>('c', {1, 1}, {1.0f});
auto u = NDArrayFactory::create<float>('c', {1, 1}, {2.0f});
auto v = NDArrayFactory::create<float>('c', {1, 1}, {3.0f});
auto w = NDArrayFactory::create<float>('c', {1, 1}, {4.0f});
auto exp = NDArrayFactory::create<float>('c', {1, 4}, {1, 2, 3, 4});
sd::ops::concat op;
auto result = op.evaluate({&t, &u, &v, &w}, {}, {1});
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ASSERT_EQ(ND4J_STATUS_OK, result->status());
auto z = result->at(0);
ASSERT_TRUE(exp.isSameShape(z));
ASSERT_TRUE(exp.equalsTo(z));
delete result;
}