1991 lines
94 KiB
C++
1991 lines
94 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 raver on 8/4/2018.
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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 <array/NDArray.h>
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#include <ops/ops.h>
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#include <helpers/GradCheck.h>
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#include <array>
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using namespace sd;
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class DeclarableOpsTests15 : public testing::Test {
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public:
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DeclarableOpsTests15() {
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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(DeclarableOpsTests15, Test_NormalizeMoments_1) {
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auto d = NDArrayFactory::create<double>('c', {10, 10});
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auto w = NDArrayFactory::create<double>(10);
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auto x = NDArrayFactory::create<double>('c', {10});
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auto y = NDArrayFactory::create<double>('c', {10});
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auto z0 = NDArrayFactory::create<double>('c', {10});
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auto z1 = NDArrayFactory::create<double>('c', {10});
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sd::ops::normalize_moments op;
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auto result = op.execute({&w, &x, &y}, std::vector<NDArray*>{&z0, &z1}, {1e-4}, {}, {});
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ASSERT_EQ(Status::OK(), result);
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}
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TEST_F(DeclarableOpsTests15, Test_Add_1) {
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auto x = NDArrayFactory::create<int>('c', {5}, {1, 1, 1, 1, 1});
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auto y = NDArrayFactory::create<int>('c', {5}, {1, 1, 1, 1, 1});
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auto e = NDArrayFactory::create<int>('c', {5}, {2, 2, 2, 2, 2});
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sd::ops::add op;
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auto result = op.execute({&x, &y}, {&x}, {}, {}, {});
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ASSERT_EQ(Status::OK(), result);
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ASSERT_EQ(e, x);
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}
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TEST_F(DeclarableOpsTests15, Test_Half_assign_1) {
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auto x = NDArrayFactory::create<float16>('c', {2, 5});
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int y = 1;
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x.assign(y);
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ASSERT_EQ(10, x.sumNumber().e<int>(0));
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}
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TEST_F(DeclarableOpsTests15, Test_standarize_1) {
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auto x = NDArrayFactory::create<float>('c', {5}, {1.f, 1.f, 1.f, 1.f, 1.f});
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auto e = NDArrayFactory::create<float>('c', {5}, {0.f, 0.f, 0.f, 0.f, 0.f});
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sd::ops::standardize op;
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auto result = op.execute({&x}, {&x}, {}, {0}, {});
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ASSERT_EQ(Status::OK(), result);
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ASSERT_EQ(e, x);
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}
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TEST_F(DeclarableOpsTests15, Test_standarize_bp_1) {
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auto x = NDArrayFactory::create<float>('c', {5}, {1.f, 1.f, 1.f, 1.f, 1.f});
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auto eps = NDArrayFactory::create<float>('c', {5}, {0.f, 0.f, 0.f, 0.f, 0.f});
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sd::ops::standardize_bp op;
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auto result = op.evaluate({&x, &eps}, {0});
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ASSERT_EQ(Status::OK(), result.status());
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}
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TEST_F(DeclarableOpsTests15, Test_AdjustContrast_1) {
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auto x = NDArrayFactory::create<double>('c', {4,4,3});
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NDArray factor = NDArrayFactory::create<double>(2.);
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auto e = NDArrayFactory::create<double>('c', {4,4,3}, {-21.5, -20.5, -19.5, -15.5, -14.5, -13.5, -9.5, -8.5, -7.5, -3.5, -2.5, -1.5,
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2.5, 3.5, 4.5, 8.5, 9.5, 10.5, 14.5, 15.5, 16.5, 20.5, 21.5, 22.5,
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26.5, 27.5, 28.5, 32.5, 33.5, 34.5, 38.5, 39.5, 40.5, 44.5, 45.5, 46.5,
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50.5, 51.5, 52.5, 56.5, 57.5, 58.5, 62.5, 63.5, 64.5, 68.5, 69.5, 70.5});
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x.linspace(1.);
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sd::ops::adjust_contrast op;
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auto result = op.evaluate({&x, &factor}, {}, {}, {});
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ASSERT_EQ(Status::OK(), result.status());
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auto out = result.at(0);
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ASSERT_TRUE(e.equalsTo(out));
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}
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TEST_F(DeclarableOpsTests15, Test_AdjustContrast_2) {
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auto x = NDArrayFactory::create<float>('c', {1, 4,4,3});
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auto e = NDArrayFactory::create<float>('c', {1, 4,4,3}, {
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-21.5f, -20.5f, -19.5f, -15.5f, -14.5f, -13.5f, -9.5f, -8.5f, -7.5f, -3.5f, -2.5f, -1.5f,
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2.5f, 3.5f, 4.5f, 8.5f, 9.5f, 10.5f, 14.5f, 15.5f, 16.5f, 20.5f, 21.5f, 22.5f,
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26.5f, 27.5f, 28.5f, 32.5f, 33.5f, 34.5f, 38.5f, 39.5f, 40.5f, 44.5f, 45.5f, 46.5f,
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50.5f, 51.5f, 52.5f, 56.5f, 57.5f, 58.5f, 62.5f, 63.5f, 64.5f, 68.5f, 69.5f, 70.5f
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});
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x.linspace(1.);
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sd::ops::adjust_contrast op;
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auto result = op.evaluate({&x}, {2.});
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ASSERT_EQ(Status::OK(), result.status());
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auto out = result.at(0);
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// out->printIndexedBuffer("Adjusted Constrast");
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ASSERT_TRUE(e.equalsTo(out));
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}
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TEST_F(DeclarableOpsTests15, Test_AdjustContrast_3) {
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auto x = NDArrayFactory::create<float>('c', {1, 4,4,3});
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auto e = NDArrayFactory::create<float>('c', {1, 4,4,3}, {
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-21.5f, -20.5f, -19.5f, -15.5f, -14.5f, -13.5f, -9.5f, -8.5f, -7.5f, -3.5f, -2.5f, -1.5f,
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2.5f, 3.5f, 4.5f, 8.5f, 9.5f, 10.5f, 14.5f, 15.5f, 16.5f, 20.5f, 21.5f, 22.5f,
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26.5f, 27.5f, 28.5f, 32.5f, 33.5f, 34.5f, 38.5f, 39.5f, 40.5f, 44.5f, 45.5f, 46.5f,
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50.5f, 51.5f, 52.5f, 56.5f, 57.5f, 58.5f, 62.5f, 63.5f, 64.5f, 68.5f, 69.5f, 70.5f
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});
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x.linspace(1.);
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sd::ops::adjust_contrast_v2 op;
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auto result = op.evaluate({&x}, {2.});
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ASSERT_EQ(Status::OK(), result.status());
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auto out = result.at(0);
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// out->printIndexedBuffer("Adjusted Constrast");
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ASSERT_TRUE(e.equalsTo(out));
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}
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TEST_F(DeclarableOpsTests15, Test_AdjustContrast_4) {
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auto x = NDArrayFactory::create<double>('c', {4, 4, 3});
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auto e = NDArrayFactory::create<double>('c', {4, 4, 3}, {
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-21.5, -20.5, -19.5, -15.5, -14.5, -13.5, -9.5, -8.5, -7.5, -3.5, -2.5, -1.5,
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2.5, 3.5, 4.5, 8.5, 9.5, 10.5, 14.5, 15.5, 16.5, 20.5, 21.5, 22.5,
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26.5, 27.5, 28.5, 32.5, 33.5, 34.5, 38.5, 39.5, 40.5, 44.5, 45.5, 46.5,
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50.5, 51.5, 52.5, 56.5, 57.5, 58.5, 62.5, 63.5, 64.5, 68.5, 69.5, 70.5
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});
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x.linspace(1.);
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sd::ops::adjust_contrast_v2 op;
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auto result = op.evaluate({&x}, {2.}, {}, {});
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ASSERT_EQ(Status::OK(), result.status());
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auto out = result.at(0);
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// out->printIndexedBuffer("Adjusted Constrast");
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ASSERT_TRUE(e.equalsTo(out));
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}
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TEST_F(DeclarableOpsTests15, Test_AdjustContrast_5) {
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auto x = NDArrayFactory::create<double>('c', {1, 3, 4});
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auto e = NDArrayFactory::create<double>('c', {1, 3, 4}, {
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-3., -2., -1., 0., 5., 6., 7., 8., 13., 14., 15., 16.
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});
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x.linspace(1.);
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sd::ops::adjust_contrast_v2 op;
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auto result = op.evaluate({&x}, {2.}, {}, {});
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ASSERT_EQ(Status::OK(), result.status());
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auto out = result.at(0);
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// out->printIndexedBuffer("Adjusted Constrast");
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ASSERT_TRUE(e.equalsTo(out));
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}
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/*
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* public void testAdjustContrast1() {
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INDArray in = Nd4j.createFromArray(new float[]{0.7788f,0.8012f,0.7244f,0.2309f,0.7271f,0.1804f,
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0.5056f,0.8925f,0.5461f,0.9234f,0.0856f,0.7938f,0.6591f,0.5555f,0.1596f,0.3087f,0.1548f,0.4695f,
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0.9939f,0.6113f,0.6765f,0.1800f,0.6750f,0.2246f,0.0509f,0.4601f,0.8284f,0.2354f,0.9752f,0.8361f,
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0.2585f,0.4189f,0.7028f,0.7679f,0.5373f,0.7234f,0.2690f,0.0062f,0.0327f,0.0644f,0.8428f,0.7494f,
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0.0755f,0.6245f,0.3491f,0.5793f,0.5730f,0.1822f,0.6420f,0.9143f,0.3019f,
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0.3574f,0.1704f,0.8395f,0.5468f,0.0744f,0.9011f,0.6574f,0.4124f,0.2445f,0.4248f,0.5219f,
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0.6952f,0.4900f,0.2158f,0.9549f,0.1386f,0.1544f,0.5365f,0.0134f,0.4163f,0.1456f,0.4109f,
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0.2484f, 0.3330f,0.2974f,0.6636f,0.3808f,0.8664f, 0.1896f, 0.7530f, 0.7215f, 0.6612f, 0.7270f,
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0.5704f,0.2666f,0.7453f,0.0444f,0.3024f,0.4850f,0.7982f,0.0965f,0.7843f,0.5075f,
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0.0844f,0.8370f,0.6103f,0.4604f,0.6087f, 0.8594f, 0.4599f, 0.6714f, 0.2744f, 0.1981f, 0.4143f,
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0.7821f,0.3505f,0.5040f,0.1180f,0.8307f,0.1817f,0.8442f,0.5074f,0.4471f,0.5105f,0.6666f,
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0.2576f,0.2341f,0.6801f,0.2652f,0.5394f,0.4690f,0.6146f,0.1210f,0.2576f,0.0769f,0.4643f,
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0.1628f,0.2026f,0.3774f,0.0506f,0.3462f,0.5720f,0.0838f,0.4228f,0.0588f,0.5362f,0.4756f,
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0.2530f,0.1778f,0.0751f,0.8977f,0.3648f,0.3065f,0.4739f,0.7014f,0.4473f,0.5171f,0.1744f,
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0.3487f,0.7759f,0.9491f,0.2072f,0.2182f,0.6520f,0.3092f,0.9545f,0.1881f,0.9579f,0.1785f,
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0.9636f,0.4830f,0.6569f,0.3353f,0.9997f,0.5869f,0.5747f,0.0238f,0.2943f,0.5248f,0.5879f,
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.7266f,0.1965f,0.9167f,0.9726f,0.9206f,0.0519f,0.2997f,0.0039f,0.7652f,0.5498f,
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0.3794f,0.3791f,0.3528f,0.2873f,0.8082f,0.4732f,0.4399f,0.6606f,0.5991f,0.0034f,0.4874f
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}).reshape(8,8,3,1);
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INDArray out = Nd4j.create(DataType.FLOAT, in.shape());
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INDArray[] res = Nd4j.exec(new AdjustContrast(in, 2.0, out));
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assertArrayEquals(out.shape(), in.shape());
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//assertEquals(expected, out);
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}
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* */
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TEST_F(DeclarableOpsTests15, Test_AdjustContrast_6) {
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auto x = NDArrayFactory::create<float>('c', {8,8, 3, 1}, {0.7788f,0.8012f,0.7244f,0.2309f,0.7271f,0.1804f,
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0.5056f,0.8925f,0.5461f,0.9234f,0.0856f,0.7938f,0.6591f,0.5555f,0.1596f,0.3087f,0.1548f,0.4695f,
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0.9939f,0.6113f,0.6765f,0.1800f,0.6750f,0.2246f,0.0509f,0.4601f,0.8284f,0.2354f,0.9752f,0.8361f,
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0.2585f,0.4189f,0.7028f,0.7679f,0.5373f,0.7234f,0.2690f,0.0062f,0.0327f,0.0644f,0.8428f,0.7494f,
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0.0755f,0.6245f,0.3491f,0.5793f,0.5730f,0.1822f,0.6420f,0.9143f,0.3019f,
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0.3574f,0.1704f,0.8395f,0.5468f,0.0744f,0.9011f,0.6574f,0.4124f,0.2445f,0.4248f,0.5219f,
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0.6952f,0.4900f,0.2158f,0.9549f,0.1386f,0.1544f,0.5365f,0.0134f,0.4163f,0.1456f,0.4109f,
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0.2484f, 0.3330f,0.2974f,0.6636f,0.3808f,0.8664f, 0.1896f, 0.7530f, 0.7215f, 0.6612f, 0.7270f,
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0.5704f,0.2666f,0.7453f,0.0444f,0.3024f,0.4850f,0.7982f,0.0965f,0.7843f,0.5075f,
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0.0844f,0.8370f,0.6103f,0.4604f,0.6087f, 0.8594f, 0.4599f, 0.6714f, 0.2744f, 0.1981f, 0.4143f,
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0.7821f,0.3505f,0.5040f,0.1180f,0.8307f,0.1817f,0.8442f,0.5074f,0.4471f,0.5105f,0.6666f,
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0.2576f,0.2341f,0.6801f,0.2652f,0.5394f,0.4690f,0.6146f,0.1210f,0.2576f,0.0769f,0.4643f,
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0.1628f,0.2026f,0.3774f,0.0506f,0.3462f,0.5720f,0.0838f,0.4228f,0.0588f,0.5362f,0.4756f,
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0.2530f,0.1778f,0.0751f,0.8977f,0.3648f,0.3065f,0.4739f,0.7014f,0.4473f,0.5171f,0.1744f,
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0.3487f,0.7759f,0.9491f,0.2072f,0.2182f,0.6520f,0.3092f,0.9545f,0.1881f,0.9579f,0.1785f,
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0.9636f,0.4830f,0.6569f,0.3353f,0.9997f,0.5869f,0.5747f,0.0238f,0.2943f,0.5248f,0.5879f,
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.7266f,0.1965f,0.9167f,0.9726f,0.9206f,0.0519f,0.2997f,0.0039f,0.7652f,0.5498f,
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0.3794f,0.3791f,0.3528f,0.2873f,0.8082f,0.4732f,0.4399f,0.6606f,0.5991f,0.0034f,0.4874f});
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auto e = NDArrayFactory::create<float>('c', {8, 8, 3, 1}, {
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1.0218375f, 1.0666375f, 0.9130375f,
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-0.07396251f, 0.91843754f, -0.17496246f,
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0.47543746f, 1.2492375f, 0.55643755f,
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1.3110375f, -0.36456245f, 1.0518374f,
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0.7824375f, 0.57523745f, -0.21656245f,
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0.0816375f, -0.2261625f, 0.40323752f,
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1.4520376f, 0.6868375f, 0.81723756f,
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-0.17576247f, 0.81423753f, -0.08656245f,
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-0.36249164f, 0.45590833f, 1.1925083f,
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0.00650835f, 1.4861084f, 1.2079083f,
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0.05270836f, 0.37350836f, 0.94130826f,
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1.0715083f, 0.6103083f, 0.9825083f,
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0.07370833f, -0.4518917f, -0.39889166f,
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-0.3354917f, 1.2213084f, 1.0345083f,
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-0.3132917f, 0.78470826f, 0.23390833f,
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0.6943083f, 0.68170834f, -0.09989169f,
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0.8352709f, 1.3798709f, 0.15507084f,
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0.26607084f, -0.10792917f, 1.2302709f,
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0.6448709f, -0.29992914f, 1.3534708f,
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0.86607087f, 0.37607086f, 0.04027084f,
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0.40087086f, 0.59507084f, 0.9416709f,
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0.53127086f, -0.01712915f, 1.4610709f,
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-0.17152917f, -0.13992918f, 0.6242708f,
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-0.42192918f, 0.38387084f, -0.15752912f,
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0.3311833f, 0.00618333f, 0.17538333f,
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0.10418332f, 0.8365834f, 0.27098334f,
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1.2421833f, -0.1114167f, 1.0153834f,
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0.9523833f, 0.8317833f, 0.9633833f,
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0.6501833f, 0.04258335f, 0.9999833f,
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-0.40181667f, 0.11418331f, 0.47938335f,
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1.1057833f, -0.29761666f, 1.0779834f,
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0.5243833f, -0.32181668f, 1.1833833f,
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0.73157084f, 0.4317708f, 0.7283708f,
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1.2297708f, 0.4307708f, 0.85377085f,
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0.05977082f, -0.09282917f, 0.33957082f,
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1.0751709f, 0.2119708f, 0.51897085f,
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-0.25302917f, 1.1723708f, -0.12562919f,
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1.1993709f, 0.5257708f, 0.40517086f,
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0.53197086f, 0.8441708f, 0.02617085f,
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-0.0208292f, 0.8711709f, 0.04137081f,
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0.74936247f, 0.6085625f, 0.8997625f,
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-0.08743751f, 0.18576252f, -0.17563748f,
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0.5991625f, -0.0038375f, 0.07576251f,
|
|
0.42536253f, -0.22823751f, 0.36296248f,
|
|
0.81456256f, -0.16183749f, 0.5161625f,
|
|
-0.21183747f, 0.7429625f, 0.6217625f,
|
|
0.17656249f, 0.02616251f, -0.17923748f,
|
|
1.4659625f, 0.40016252f, 0.28356248f,
|
|
|
|
0.4195791f, 0.8745791f, 0.36637908f,
|
|
0.50597906f, -0.17942089f, 0.16917908f,
|
|
1.0235791f, 1.3699791f, -0.11382091f,
|
|
-0.0918209f, 0.7757791f, 0.09017909f,
|
|
1.3807791f, -0.15202093f, 1.3875791f,
|
|
-0.1712209f, 1.3989791f, 0.43777913f,
|
|
0.7855791f, 0.1423791f, 1.4711791f,
|
|
0.6455791f, 0.6211791f, -0.48062086f,
|
|
|
|
0.10189578f, 0.5628958f, 0.68909574f,
|
|
0.96649575f, -0.09370419f, 1.3466958f,
|
|
1.4584957f, 1.3544958f, -0.3829042f,
|
|
0.11269578f, -0.47890422f, 1.0436958f,
|
|
0.6128957f, 0.27209583f, 0.2714958f,
|
|
0.21889582f, 0.08789578f, 1.1296958f,
|
|
0.4596958f, 0.39309582f, 0.8344958f,
|
|
0.71149576f, -0.4799042f, 0.4880958f
|
|
});
|
|
|
|
sd::ops::adjust_contrast op;
|
|
auto result = op.evaluate({&x}, {2.}, {}, {});
|
|
ASSERT_EQ(Status::OK(), result.status());
|
|
auto out = result.at(0);
|
|
// out->printBuffer("Adjusted Constrast6");
|
|
// e.printBuffer("Adjusted Expected 6");
|
|
// ASSERT_TRUE(e.equalsTo(out));
|
|
|
|
}
|
|
|
|
TEST_F(DeclarableOpsTests15, Test_AdjustContrast_7) {
|
|
auto x = NDArrayFactory::create<double>('c', {8,8, 3, 1}, {0.7788f,0.8012f,0.7244f,0.2309f,0.7271f,0.1804f,
|
|
0.5056f,0.8925f,0.5461f,0.9234f,0.0856f,0.7938f,0.6591f,0.5555f,0.1596f,0.3087f,0.1548f,0.4695f,
|
|
0.9939f,0.6113f,0.6765f,0.1800f,0.6750f,0.2246f,0.0509f,0.4601f,0.8284f,0.2354f,0.9752f,0.8361f,
|
|
0.2585f,0.4189f,0.7028f,0.7679f,0.5373f,0.7234f,0.2690f,0.0062f,0.0327f,0.0644f,0.8428f,0.7494f,
|
|
0.0755f,0.6245f,0.3491f,0.5793f,0.5730f,0.1822f,0.6420f,0.9143f,0.3019f,
|
|
0.3574f,0.1704f,0.8395f,0.5468f,0.0744f,0.9011f,0.6574f,0.4124f,0.2445f,0.4248f,0.5219f,
|
|
0.6952f,0.4900f,0.2158f,0.9549f,0.1386f,0.1544f,0.5365f,0.0134f,0.4163f,0.1456f,0.4109f,
|
|
0.2484f, 0.3330f,0.2974f,0.6636f,0.3808f,0.8664f, 0.1896f, 0.7530f, 0.7215f, 0.6612f, 0.7270f,
|
|
0.5704f,0.2666f,0.7453f,0.0444f,0.3024f,0.4850f,0.7982f,0.0965f,0.7843f,0.5075f,
|
|
0.0844f,0.8370f,0.6103f,0.4604f,0.6087f, 0.8594f, 0.4599f, 0.6714f, 0.2744f, 0.1981f, 0.4143f,
|
|
0.7821f,0.3505f,0.5040f,0.1180f,0.8307f,0.1817f,0.8442f,0.5074f,0.4471f,0.5105f,0.6666f,
|
|
0.2576f,0.2341f,0.6801f,0.2652f,0.5394f,0.4690f,0.6146f,0.1210f,0.2576f,0.0769f,0.4643f,
|
|
0.1628f,0.2026f,0.3774f,0.0506f,0.3462f,0.5720f,0.0838f,0.4228f,0.0588f,0.5362f,0.4756f,
|
|
0.2530f,0.1778f,0.0751f,0.8977f,0.3648f,0.3065f,0.4739f,0.7014f,0.4473f,0.5171f,0.1744f,
|
|
0.3487f,0.7759f,0.9491f,0.2072f,0.2182f,0.6520f,0.3092f,0.9545f,0.1881f,0.9579f,0.1785f,
|
|
0.9636f,0.4830f,0.6569f,0.3353f,0.9997f,0.5869f,0.5747f,0.0238f,0.2943f,0.5248f,0.5879f,
|
|
.7266f,0.1965f,0.9167f,0.9726f,0.9206f,0.0519f,0.2997f,0.0039f,0.7652f,0.5498f,
|
|
0.3794f,0.3791f,0.3528f,0.2873f,0.8082f,0.4732f,0.4399f,0.6606f,0.5991f,0.0034f,0.4874f});
|
|
auto e = NDArrayFactory::create<double>('c', {8, 8, 3, 1}, {
|
|
1.0218375, 1.0666375 , 0.9130375 ,
|
|
-0.07396251, 0.91843754, -0.17496246,
|
|
0.47543746, 1.2492375 , 0.55643755,
|
|
1.3110375 , -0.36456245, 1.0518374 ,
|
|
0.7824375 , 0.57523745, -0.21656245,
|
|
0.0816375 , -0.2261625 , 0.40323752,
|
|
1.4520376 , 0.6868375 , 0.81723756,
|
|
-0.17576247, 0.81423753, -0.08656245,
|
|
|
|
-0.36249164, 0.45590833, 1.1925083 ,
|
|
0.00650835, 1.4861084 , 1.2079083 ,
|
|
0.05270836, 0.37350836, 0.94130826,
|
|
1.0715083 , 0.6103083 , 0.9825083 ,
|
|
0.07370833, -0.4518917 , -0.39889166,
|
|
-0.3354917 , 1.2213084 , 1.0345083 ,
|
|
-0.3132917 , 0.78470826, 0.23390833,
|
|
0.6943083 , 0.68170834, -0.09989169,
|
|
|
|
0.8352709 , 1.3798709 , 0.15507084,
|
|
0.26607084, -0.10792917, 1.2302709 ,
|
|
0.6448709 , -0.29992914, 1.3534708 ,
|
|
0.86607087, 0.37607086, 0.04027084,
|
|
0.40087086, 0.59507084, 0.9416709 ,
|
|
0.53127086, -0.01712915, 1.4610709 ,
|
|
-0.17152917, -0.13992918, 0.6242708 ,
|
|
-0.42192918, 0.38387084, -0.15752912,
|
|
|
|
|
|
0.3311833 , 0.00618333, 0.17538333,
|
|
0.10418332, 0.8365834 , 0.27098334,
|
|
1.2421833 , -0.1114167 , 1.0153834 ,
|
|
0.9523833 , 0.8317833 , 0.9633833 ,
|
|
0.6501833 , 0.04258335, 0.9999833 ,
|
|
-0.40181667, 0.11418331, 0.47938335,
|
|
1.1057833 , -0.29761666, 1.0779834 ,
|
|
0.5243833 , -0.32181668, 1.1833833 ,
|
|
|
|
0.73157084, 0.4317708 , 0.7283708 ,
|
|
1.2297708 , 0.4307708 , 0.85377085,
|
|
0.05977082, -0.09282917, 0.33957082,
|
|
1.0751709 , 0.2119708 , 0.51897085,
|
|
-0.25302917, 1.1723708 , -0.12562919,
|
|
1.1993709 , 0.5257708 , 0.40517086,
|
|
0.53197086, 0.8441708 , 0.02617085,
|
|
-0.0208292 , 0.8711709 , 0.04137081,
|
|
|
|
0.74936247, 0.6085625 , 0.8997625 ,
|
|
-0.08743751, 0.18576252, -0.17563748,
|
|
0.5991625 , -0.0038375 , 0.07576251,
|
|
0.42536253, -0.22823751, 0.36296248,
|
|
0.81456256, -0.16183749, 0.5161625 ,
|
|
-0.21183747, 0.7429625 , 0.6217625 ,
|
|
0.17656249, 0.02616251, -0.17923748,
|
|
1.4659625 , 0.40016252, 0.28356248,
|
|
|
|
0.4195791 , 0.8745791 , 0.36637908,
|
|
0.50597906, -0.17942089, 0.16917908,
|
|
1.0235791 , 1.3699791 , -0.11382091,
|
|
-0.0918209 , 0.7757791 , 0.09017909,
|
|
1.3807791 , -0.15202093, 1.3875791 ,
|
|
-0.1712209 , 1.3989791 , 0.43777913,
|
|
0.7855791 , 0.1423791 , 1.4711791 ,
|
|
0.6455791 , 0.6211791 , -0.48062086,
|
|
|
|
|
|
0.10189578, 0.5628958 , 0.68909574,
|
|
0.96649575, -0.09370419, 1.3466958 ,
|
|
1.4584957 , 1.3544958 , -0.3829042 ,
|
|
0.11269578, -0.47890422, 1.0436958 ,
|
|
0.6128957 , 0.27209583, 0.2714958 ,
|
|
0.21889582, 0.08789578, 1.1296958 ,
|
|
0.4596958 , 0.39309582, 0.8344958 ,
|
|
0.71149576, -0.4799042, 0.4880958
|
|
});
|
|
// x.linspace(1.);
|
|
sd::ops::adjust_contrast_v2 op;
|
|
auto result = op.evaluate({&x}, {2.}, {}, {});
|
|
ASSERT_EQ(Status::OK(), result.status());
|
|
auto out = result.at(0);
|
|
// out->printBuffer("Adjusted Constrast7");
|
|
// e.printBuffer("Adjusted expected 7");
|
|
auto diff = e - *out;
|
|
// diff.printBuffer("Adjusted subtract 7");
|
|
ASSERT_TRUE(e.equalsTo(out));
|
|
|
|
}
|
|
|
|
TEST_F(DeclarableOpsTests15, Test_BitCast_1) {
|
|
auto x = NDArrayFactory::create<float>('c', {2, 2, 2});
|
|
auto e = NDArrayFactory::create<double>('c', {2, 2}, {2., 512., 8192., 131072.032 });
|
|
x.linspace(1.);
|
|
|
|
sd::ops::bitcast op;
|
|
auto result = op.evaluate({&x}, {(int) sd::DataType::DOUBLE});
|
|
ASSERT_EQ(Status::OK(), result.status());
|
|
auto out = result.at(0);
|
|
// out->printIndexedBuffer("Casted result");
|
|
ASSERT_TRUE(e.equalsTo(out));
|
|
|
|
}
|
|
|
|
TEST_F(DeclarableOpsTests15, Test_BitCast_2) {
|
|
auto x = NDArrayFactory::create<float>('c', {2, 4});
|
|
auto e = NDArrayFactory::create<float16>('c', {2, 4, 2}, {0.f, 1.875f, 0.f, 2.f, 0.f, 2.125f, 0.f, 2.25f,
|
|
0.f, 2.312f, 0.f, 2.375f, 0.f, 2.438f, 0.f, 2.5f});
|
|
x.linspace(1.);
|
|
|
|
sd::ops::bitcast op;
|
|
auto result = op.evaluate({&x}, {(int) sd::DataType::HALF});
|
|
ASSERT_EQ(Status::OK(), result.status());
|
|
auto out = result.at(0);
|
|
|
|
ASSERT_TRUE(e.equalsTo(out));
|
|
|
|
}
|
|
|
|
TEST_F(DeclarableOpsTests15, Test_BitCast_3) {
|
|
auto x = NDArrayFactory::create<float>('c', {1, 4});
|
|
|
|
x.linspace(1.);
|
|
sd::ops::bitcast op;
|
|
try {
|
|
auto result = op.evaluate({&x}, {(int) sd::DataType::INT64});
|
|
ASSERT_NE(Status::OK(), result.status());
|
|
|
|
} catch (std::exception& e) {
|
|
nd4j_printf("Error should be here `%s'. It's OK.\n", e.what());
|
|
}
|
|
}
|
|
|
|
TEST_F(DeclarableOpsTests15, Test_BitCast_4) {
|
|
auto x = NDArrayFactory::create<float>('c', {1, 4});
|
|
auto e = NDArrayFactory::create<Nd4jLong>('c', {1, 2}, {1234567890LL, 2468013579LL});
|
|
x.linspace(1.);
|
|
sd::ops::bitcast op;
|
|
try {
|
|
auto result = op.execute({&x}, {&e}, {}, {sd::DataType::INT64}, {});
|
|
ASSERT_NE(Status::OK(), result);
|
|
} catch(std::exception& e) {
|
|
nd4j_printf("Error `%s' should be here. It's OK.\n",e.what());
|
|
}
|
|
|
|
}
|
|
|
|
TEST_F(DeclarableOpsTests15, Test_BitCast_4_1) {
|
|
auto x = NDArrayFactory::create<double>('c', {1, 2});
|
|
auto e = NDArrayFactory::create<Nd4jLong>('c', {1, 2}, {4607182418800017408LL, 4611686018427387904LL}); // as TF 4607182418800017408, 4611686018427387904
|
|
x.linspace(1.);
|
|
sd::ops::bitcast op;
|
|
|
|
auto result = op.evaluate({&x}, {}, {sd::DataType::INT64}, {});
|
|
ASSERT_EQ(Status::OK(), result.status());
|
|
|
|
// e.printIndexedBuffer("Double to int64");
|
|
auto res = result.at(0);
|
|
ASSERT_EQ(*res, e);
|
|
|
|
}
|
|
|
|
|
|
TEST_F(DeclarableOpsTests15, Test_BitCast_5) {
|
|
auto x = NDArrayFactory::create<float16>('c', {4, 4}, {
|
|
0.4922f, 0.2969f, 0.6172f, 0.8906f,
|
|
0.9297f, 0.0859f, 0.2344f, 0.3828f,
|
|
0.5781f, 0.7969f, 0.0391f, 0.1719f,
|
|
0.8359f, 0.9297f, 0.3438f, 0.0938f});
|
|
|
|
auto e = NDArrayFactory::create<Nd4jLong>('c', {4}, {4260467851820808160LL, 3900173902914993008LL, 3566895990128523424LL,
|
|
3314989625590692528LL});
|
|
|
|
sd::ops::bitcast op;
|
|
auto result = op.evaluate({&x}, {}, {sd::DataType::INT64}, {});
|
|
ASSERT_EQ(Status::OK(), result.status());
|
|
auto res = result.at(0);
|
|
|
|
// res->printIndexedBuffer("BITCAST5");
|
|
ASSERT_TRUE(e.equalsTo(res));
|
|
|
|
}
|
|
|
|
TEST_F(DeclarableOpsTests15, Test_BitCast_6) {
|
|
auto x = NDArrayFactory::create<float16>('c', {4, 4}, {
|
|
1.f, 2.f, 3.f, 4.f,
|
|
5.f, 6.f, 7.f, 8.f,
|
|
9.f, 10.f, 11.f, 12.f,
|
|
13.f, 14.f, 15.f, 16.f});
|
|
|
|
auto e = NDArrayFactory::create<Nd4jLong>('c', {4}, {4899988963420290048LL, 5188224837230806272LL, 5332342774136064128LL,
|
|
5476460161268730496LL});
|
|
|
|
sd::ops::bitcast op;
|
|
auto result = op.evaluate({&x}, {}, {sd::DataType::INT64}, {});
|
|
ASSERT_EQ(Status::OK(), result.status());
|
|
auto res = result.at(0);
|
|
|
|
// res->printIndexedBuffer("BITCAST6");
|
|
ASSERT_TRUE(e.equalsTo(res));
|
|
|
|
}
|
|
TEST_F(DeclarableOpsTests15, Test_BitCast_7) {
|
|
auto x = NDArrayFactory::create<float16>('c', {4, 4}, {
|
|
1.1f, 2.2f, 3.3f, 4.4f,
|
|
5.1f, 6.2f, 7.3f, 8.4f,
|
|
9.1f, 10.2f, 11.3f, 12.4f,
|
|
13.f, 14.2f, 15.3f, 16.4f});
|
|
|
|
auto e = NDArrayFactory::create<Nd4jLong>('c', {4}, {
|
|
4928700072476425318LL, 5202580391758873882LL, 5346698272827918477LL, 5483778673873668736LL});
|
|
|
|
sd::ops::bitcast op;
|
|
auto result = op.evaluate({&x}, {}, {sd::DataType::INT64}, {});
|
|
ASSERT_EQ(Status::OK(), result.status());
|
|
auto res = result.at(0);
|
|
|
|
// res->printIndexedBuffer("BITCAST7");
|
|
ASSERT_TRUE(e.equalsTo(res));
|
|
|
|
}
|
|
|
|
TEST_F(DeclarableOpsTests15, test_matmul_bp_1) {
|
|
auto a = NDArrayFactory::create<double>('c', {1, 3});
|
|
auto b = NDArrayFactory::create<double>('c', {1, 4});
|
|
auto gI = NDArrayFactory::create<double>('c', {3, 4});
|
|
|
|
auto gA = NDArrayFactory::create<double>('c', {1, 3});
|
|
auto gB = NDArrayFactory::create<double>('c', {1, 4});
|
|
|
|
sd::ops::matmul_bp op;
|
|
auto status = op.execute({&a, &b, &gI}, std::vector<NDArray*>{&gA, &gB}, {}, {1, 0, 0}, {});
|
|
ASSERT_EQ(Status::OK(), status);
|
|
}
|
|
|
|
TEST_F(DeclarableOpsTests15, test_non_decreasing_1) {
|
|
auto x = NDArrayFactory::create<double>(1.0);
|
|
auto z = NDArrayFactory::create<bool>(false);
|
|
auto e = NDArrayFactory::create<bool>(true);
|
|
|
|
sd::ops::is_non_decreasing op;
|
|
Context ctx(1);
|
|
ctx.setInputArray(0, &x);
|
|
ctx.setOutputArray(0, &z);
|
|
|
|
auto status = op.execute(&ctx);
|
|
ASSERT_EQ(Status::OK(), status);
|
|
ASSERT_EQ(e, z);
|
|
}
|
|
|
|
TEST_F(DeclarableOpsTests15, test_check_numeric_1) {
|
|
auto x = NDArrayFactory::create<float>('c', {3},{1.f, 2.f, 3.f});
|
|
auto y = NDArrayFactory::string("shouldn't ever trigger");
|
|
|
|
sd::ops::check_numerics op;
|
|
auto result = op.evaluate({&x, &y}, {}, {});
|
|
ASSERT_EQ(Status::OK(), result.status());
|
|
|
|
auto z = result.at(0);
|
|
|
|
ASSERT_EQ(x, *z);
|
|
}
|
|
|
|
TEST_F(DeclarableOpsTests15, test_check_numeric_2) {
|
|
#ifdef FFAST_MATH
|
|
if (1 > 0)
|
|
return;
|
|
#endif
|
|
|
|
auto x = NDArrayFactory::create<float>('c', {3},{1.f, 2.f, std::numeric_limits<float>::infinity()});
|
|
auto y = NDArrayFactory::string("should trigger");
|
|
auto z = NDArrayFactory::create<float>('c', {3} );
|
|
|
|
sd::ops::check_numerics op;
|
|
try {
|
|
auto status = op.execute({&x, &y}, {&z}, {}, {}, {});
|
|
ASSERT_TRUE(false);
|
|
} catch (std::invalid_argument &e) {
|
|
//
|
|
}
|
|
}
|
|
|
|
TEST_F(DeclarableOpsTests15, test_check_numeric_3) {
|
|
#ifdef FFAST_MATH
|
|
if (1 > 0)
|
|
return;
|
|
#endif
|
|
|
|
auto x = NDArrayFactory::create<float>('c', {3},{1.f, 2.f, std::numeric_limits<float>::quiet_NaN()});
|
|
auto y = NDArrayFactory::string("should trigger");
|
|
auto z = NDArrayFactory::create<float>('c', {3} );
|
|
|
|
sd::ops::check_numerics op;
|
|
try {
|
|
auto status = op.execute({&x, &y}, {&z}, {}, {}, {});
|
|
ASSERT_TRUE(false);
|
|
} catch (std::invalid_argument &e) {
|
|
//
|
|
}
|
|
}
|
|
|
|
TEST_F(DeclarableOpsTests15, Test_layer_norm_1) {
|
|
auto x = NDArrayFactory::create<float>('c', {1, 5}, {1.f, 2.f, 3.f, 4.f, 5.f});
|
|
auto g = NDArrayFactory::create<float>('c', {5}, {1.f, 2.f, 3.f, 4.f, 5.f});
|
|
auto b = NDArrayFactory::create<float>('c', {5}, {1.f, 2.f, 3.f, 4.f, 5.f});
|
|
|
|
sd::ops::layer_norm op;
|
|
auto result = op.evaluate({&x, &g, &b}, {}, {0}, {false});
|
|
ASSERT_EQ(Status::OK(), result.status());
|
|
|
|
}
|
|
|
|
TEST_F(DeclarableOpsTests15, Test_layer_norm_bp_1) {
|
|
auto x = NDArrayFactory::create<float>('c', {1, 5}, {1.f, 2.f, 3.f, 4.f, 5.f});
|
|
auto g = NDArrayFactory::create<float>('c', {5}, {1.f, 2.f, 3.f, 4.f, 5.f});
|
|
auto b = NDArrayFactory::create<float>('c', {5}, {1.f, 2.f, 3.f, 4.f, 5.f});
|
|
auto eps = NDArrayFactory::create<float>('c', {1, 5}, {0.f, 0.f, 0.f, 0.f, 0.f});
|
|
|
|
sd::ops::layer_norm_bp op;
|
|
auto result = op.evaluate({&x, &g, &b, &eps}, {}, {0}, {false});
|
|
ASSERT_EQ(Status::OK(), result.status());
|
|
|
|
}
|
|
|
|
//////////////////////////////////////////////////////////////////////
|
|
TEST_F(DeclarableOpsTests15, Test_layer_norm_bp_2) {
|
|
|
|
NDArray x('c', {3, 4, 8, 8}, sd::DataType::FLOAT32);
|
|
NDArray gain('c', {4}, {-0.1, 0.1, -0.2, 0.2}, sd::DataType::FLOAT32);
|
|
NDArray bias('c', {4}, {-0.05, 0.05, -1.05, 1.05}, sd::DataType::FLOAT32);
|
|
NDArray gradO('c', {3, 4, 8, 8}, sd::DataType::FLOAT32);
|
|
|
|
NDArray gradI('c', {3, 4, 8, 8}, sd::DataType::FLOAT32);
|
|
NDArray gradG('c', {4}, sd::DataType::FLOAT32);
|
|
NDArray gradB('c', {4}, sd::DataType::FLOAT32);
|
|
|
|
x.linspace(-20, 0.5);
|
|
gradO.linspace(-4, 0.05);
|
|
|
|
sd::ops::layer_norm_bp op;
|
|
auto status = op.execute({&x, &gain, &bias, &gradO}, {&gradI, &gradG, &gradB}, {}, {1,2,3}, {true});
|
|
ASSERT_EQ(Status::OK(), status);
|
|
}
|
|
|
|
TEST_F(DeclarableOpsTests15, test_hashCode_1) {
|
|
auto x = NDArrayFactory::create<int>('c', {10});
|
|
auto y = NDArrayFactory::create<int>('c', {10});
|
|
|
|
x.linspace(1.);
|
|
y.linspace(2.);
|
|
|
|
sd::ops::hashcode op;
|
|
auto resultA0 = op.evaluate({&x});
|
|
auto resultA1 = op.evaluate({&x});
|
|
auto resultB0 = op.evaluate({&y});
|
|
// resultA0->at(0)->printIndexedBuffer("A0");
|
|
// resultA1->at(0)->printIndexedBuffer("A1");
|
|
// resultB0->at(0)->printIndexedBuffer("B0");
|
|
ASSERT_EQ(*resultA0.at(0), *resultA1.at(0));
|
|
ASSERT_NE(*resultA0.at(0), *resultB0.at(0));
|
|
}
|
|
|
|
TEST_F(DeclarableOpsTests15, test_hashCode_2) {
|
|
auto x = NDArrayFactory::create<int>('c', {1027});
|
|
auto y = NDArrayFactory::create<int>('c', {1027});
|
|
|
|
x.linspace(1.);
|
|
y.linspace(2.);
|
|
|
|
sd::ops::hashcode op;
|
|
auto resultA0 = op.evaluate({&x});
|
|
auto resultA1 = op.evaluate({&x});
|
|
auto resultB0 = op.evaluate({&y});
|
|
|
|
// resultA0->at(0)->printIndexedBuffer("A0");
|
|
// resultA1->at(0)->printIndexedBuffer("A1");
|
|
// resultB0->at(0)->printIndexedBuffer("B0");
|
|
|
|
ASSERT_EQ(*resultA0.at(0), *resultA1.at(0));
|
|
ASSERT_NE(*resultA0.at(0), *resultB0.at(0));
|
|
}
|
|
|
|
TEST_F(DeclarableOpsTests15, test_rank_1) {
|
|
auto array = NDArrayFactory::create<float>('c', {4, 64});
|
|
auto e = NDArrayFactory::create<int>('c', {}, {2});
|
|
auto z = NDArrayFactory::create<int>('c', {});
|
|
|
|
sd::ops::rank op;
|
|
auto result = op.execute({&array}, {&z}, {}, {}, {});
|
|
ASSERT_EQ(Status::OK(), result);
|
|
ASSERT_EQ(e, z);
|
|
}
|
|
|
|
TEST_F(DeclarableOpsTests15, test_rank_2) {
|
|
auto array = NDArrayFactory::create<float>('c', {4, 64});
|
|
auto e = NDArrayFactory::create<int>('c', {}, {2});
|
|
|
|
sd::ops::rank op;
|
|
auto result = op.evaluate({&array}, {}, {});
|
|
ASSERT_EQ(Status::OK(), result.status());
|
|
|
|
auto z = result.at(0);
|
|
|
|
ASSERT_EQ(e, *z);
|
|
|
|
|
|
}
|
|
|
|
TEST_F(DeclarableOpsTests15, test_lstmBlock_1) {
|
|
auto x0 = NDArrayFactory::create<Nd4jLong>(5);
|
|
auto x1 = NDArrayFactory::create<float>('c', {5, 1, 4}, {0.7787856f, 0.80119777f, 0.72437465f, 0.23089433f, 0.72714126f, 0.18039072f, 0.50563407f, 0.89252293f, 0.5461209f, 0.92336726f, 0.085571885f, 0.7937801f, 0.65908563f, 0.55552566f, 0.15962744f, 0.30874777f, 0.15476847f, 0.46954823f, 0.9938899f, 0.6112741f});
|
|
auto x2 = NDArrayFactory::create<float>('c', {1, 3}, {0.7717289f, 0.9280778f, 0.98455656f});
|
|
auto x3 = NDArrayFactory::create<float>('c', {1, 3}, {0.94414854f, 0.5956861f, 0.8668989f});
|
|
auto x4 = NDArrayFactory::create<float>('c', {7, 12}, {0.460692f, 0.042572856f, 0.08420354f, -0.09538093f, -0.11416581f, -0.53166187f, 0.40133476f, -0.24381405f, 0.30778718f, 0.52713746f, 0.16253126f, -0.034891903f, 0.011679292f, -0.19076681f, 0.14710993f, -0.3704369f, 0.51872355f, 0.13536876f, -0.5568739f, -0.08727971f, 0.07601875f, -0.074174374f, -0.5345982f, -0.3581748f, -0.28263924f, -0.25141674f, 0.43328637f, -0.50227314f, -0.26641843f, -0.38241976f, -0.19636461f, -0.04020852f, -0.27312332f, 0.5207915f, -0.37247592f, -0.4713087f, -0.25670746f, -0.14942765f, -0.015806139f, -0.22531253f, 0.5582536f, 0.3093416f, 0.3221351f, -0.0964683f, 0.14318448f, 0.42279094f, -0.46992f, -0.43399644f, -0.51704615f, -0.11854091f, 0.21697259f, -0.049382925f, 0.14059627f, 0.3912331f, -0.41345632f, 0.5067368f, -0.3420229f, 0.485789f, 0.044918716f, 0.26209074f, 0.12357575f, 0.21778125f, -0.53791714f, 0.18346387f, 0.054183125f, 0.5480431f, 0.03675288f, -0.26656917f, -0.018610716f, 0.19917983f, 0.5566165f, 0.43570566f, -0.35720813f, 0.31097364f, -0.47134516f, -0.289197f, 0.091138184f, 0.13300979f, -0.36592877f, -0.17540845f, 0.21732038f, 0.4393713f, 0.42800313f, 0.5006979f});
|
|
auto x5 = NDArrayFactory::create<float>('c', {1, 3});
|
|
auto x6 = NDArrayFactory::create<float>('c', {1, 3});
|
|
auto x7 = NDArrayFactory::create<float>('c', {1, 3});
|
|
auto x8 = NDArrayFactory::create<float>('c', {12});
|
|
|
|
sd::ops::lstmBlock op;
|
|
auto result = op.evaluate({&x0, &x1, &x2, &x3, &x4, &x5, &x6, &x7, &x8}, {2.0, 0.3}, {0, 0});
|
|
ASSERT_EQ(Status::OK(), result.status());
|
|
|
|
auto z = result.at(0);
|
|
|
|
// z->printIndexedBuffer("Z");
|
|
}
|
|
|
|
TEST_F(DeclarableOpsTests15, test_lstmBlock_2) {
|
|
int seqLen = 8;
|
|
int bS = 16;
|
|
int nIn = 8;
|
|
|
|
auto x0 = NDArrayFactory::create<Nd4jLong>(5);
|
|
auto x1 = NDArrayFactory::create<float>('f', {bS, nIn, seqLen});
|
|
auto x2 = NDArrayFactory::create<float>('f', {bS, nIn}); // nIn == nOut
|
|
auto x3 = NDArrayFactory::create<float>('f', {bS, nIn});
|
|
auto x4 = NDArrayFactory::create<float>('f', {2 * nIn, 4 * nIn});
|
|
auto x5 = NDArrayFactory::create<float>('f', {nIn});
|
|
auto x6 = NDArrayFactory::create<float>('f', {nIn});
|
|
auto x7 = NDArrayFactory::create<float>('f', {nIn});
|
|
auto x8 = NDArrayFactory::create<float>('f', {4 * nIn});
|
|
|
|
sd::ops::lstmBlock op;
|
|
auto result = op.evaluate({&x0, &x1, &x2, &x3, &x4, &x5, &x6, &x7, &x8}, {1.0, 0.0}, {0, 1});
|
|
ASSERT_EQ(Status::OK(), result.status());
|
|
|
|
auto z = result.at(0);
|
|
|
|
}
|
|
|
|
TEST_F(DeclarableOpsTests15, test_lstmBlock_3) {
|
|
|
|
int seqLen = 3;
|
|
int bS = 2;
|
|
int nIn = 4;
|
|
|
|
NDArray f('f', {bS, nIn, seqLen}, sd::DataType::FLOAT32);
|
|
NDArray cLast('f', {bS, nIn}, sd::DataType::FLOAT32);
|
|
|
|
f = 2;
|
|
cLast = 3;
|
|
|
|
for (int t = 0; t < seqLen; ++t) {
|
|
|
|
//section 1
|
|
//auto ft = f({0,0, 0,0, t,t+1});
|
|
//auto temp = ft * cLast;
|
|
|
|
|
|
// section 2
|
|
auto ft = f({0,0, 0,0, t,t+1});
|
|
auto temp1 = ft.reshape('f', {bS, nIn});
|
|
auto temp2 = temp1 * cLast;
|
|
}
|
|
}
|
|
|
|
TEST_F(DeclarableOpsTests15, test_empty_increasing_1) {
|
|
auto x = NDArrayFactory::create<float>('c', {1, 0, 3});
|
|
auto z = NDArrayFactory::create<bool>(false);
|
|
|
|
Context ctx(1);
|
|
ctx.setInputArray(0, &x);
|
|
ctx.setOutputArray(0, &z);
|
|
|
|
sd::ops::is_strictly_increasing op;
|
|
auto status = op.execute(&ctx);
|
|
ASSERT_EQ(Status::OK(), status);
|
|
|
|
ASSERT_EQ(true, z.e<bool>(0));
|
|
}
|
|
|
|
TEST_F(DeclarableOpsTests15, test_empty_decreasing_1) {
|
|
auto x = NDArrayFactory::create<float>('c', {1, 0, 3});
|
|
auto z = NDArrayFactory::create<bool>(false);
|
|
|
|
Context ctx(1);
|
|
ctx.setInputArray(0, &x);
|
|
ctx.setOutputArray(0, &z);
|
|
|
|
sd::ops::is_non_decreasing op;
|
|
auto status = op.execute(&ctx);
|
|
ASSERT_EQ(Status::OK(), status);
|
|
|
|
ASSERT_EQ(true, z.e<bool>(0));
|
|
}
|
|
|
|
////////////////////////////////////////////////////////////////////////////////
|
|
TEST_F(DeclarableOpsTests15, test_rgb_to_grs_1) {
|
|
// rank 1
|
|
NDArray rgbs('c', { 3 }, { 10, 50, 200 }, sd::DataType::INT32);
|
|
NDArray expected('c', { 1 }, std::vector<double>{ 55 }, sd::DataType::INT32);
|
|
sd::ops::rgb_to_grs op;
|
|
auto result = op.evaluate({&rgbs}, {}, {});
|
|
auto output = result.at(0);
|
|
|
|
ASSERT_EQ(Status::OK(), result.status());
|
|
ASSERT_TRUE(expected.isSameShape(output));
|
|
ASSERT_TRUE(expected.equalsTo(output));
|
|
}
|
|
|
|
////////////////////////////////////////////////////////////////////////////////
|
|
TEST_F(DeclarableOpsTests15, test_rgb_to_grs_2) {
|
|
// rank 1
|
|
auto rgbs = NDArrayFactory::create<int>('f', { 3 }, { 1, 120, -25 });
|
|
auto expected = NDArrayFactory::create<int>('f', { 1 }, { 67 });
|
|
sd::ops::rgb_to_grs op;
|
|
auto result = op.evaluate({ &rgbs }, {}, {});
|
|
auto output = result.at(0);
|
|
|
|
ASSERT_EQ(Status::OK(), result.status());
|
|
ASSERT_TRUE(expected.isSameShape(output));
|
|
ASSERT_TRUE(expected.equalsTo(output));
|
|
}
|
|
|
|
////////////////////////////////////////////////////////////////////////////////
|
|
TEST_F(DeclarableOpsTests15, test_rgb_to_grs_3) {
|
|
// rank 2
|
|
NDArray rgbs('c', { 4, 3 }, { -94, 99, 97, 90, 114, 101, 111, 96, 105, 100, 103, 102 }, sd::DataType::INT32);
|
|
NDArray expected('c', { 4, 1 }, { 41, 105, 101, 101 }, sd::DataType::INT32);
|
|
sd::ops::rgb_to_grs op;
|
|
auto result = op.evaluate({ &rgbs }, {}, {});
|
|
auto output = result.at(0);
|
|
|
|
ASSERT_EQ(Status::OK(), result.status());
|
|
ASSERT_TRUE(expected.isSameShape(output));
|
|
ASSERT_TRUE(expected.equalsTo(output));
|
|
}
|
|
|
|
////////////////////////////////////////////////////////////////////////////////
|
|
TEST_F(DeclarableOpsTests15, test_rgb_to_grs_4) {
|
|
|
|
NDArray rgbs('c', { 3, 2 }, {14, 99, 207, 10, 114, 201 }, sd::DataType::INT32);
|
|
|
|
rgbs.permutei({1,0});
|
|
NDArray expected('c', { 2, 1 }, { 138, 58 }, sd::DataType::INT32);
|
|
sd::ops::rgb_to_grs op;
|
|
auto result = op.evaluate({ &rgbs }, {}, {});
|
|
auto output = result.at(0);
|
|
|
|
ASSERT_EQ(Status::OK(), result.status());
|
|
ASSERT_TRUE(expected.isSameShape(output));
|
|
ASSERT_TRUE(expected.equalsTo(output));
|
|
}
|
|
|
|
////////////////////////////////////////////////////////////////////////////////
|
|
TEST_F(DeclarableOpsTests15, test_rgb_to_grs_5) {
|
|
// rank 2
|
|
NDArray rgbs('c', { 3, 4 }, { -94, 99, 97, 90, 114, 101, 111, 96, 105, 100, 103, 102 }, sd::DataType::INT32);
|
|
NDArray expected('c', { 1, 4 }, { 50, 100, 105, 94 }, sd::DataType::INT32);
|
|
sd::ops::rgb_to_grs op;
|
|
auto result = op.evaluate({ &rgbs }, {}, {0});
|
|
auto output = result.at(0);
|
|
|
|
ASSERT_EQ(Status::OK(), result.status());
|
|
ASSERT_TRUE(expected.isSameShape(output));
|
|
ASSERT_TRUE(expected.equalsTo(output));
|
|
}
|
|
|
|
////////////////////////////////////////////////////////////////////////////////
|
|
TEST_F(DeclarableOpsTests15, test_rgb_to_grs_6) {
|
|
// rank 3
|
|
auto rgbs = NDArrayFactory::create<float>('c', { 5,4,3 }, {1.7750e+01f, -7.1062e+01f, -1.0019e+02f,-2.3406e+01f, 5.2094e+01f, 9.5438e+01f, -6.7461e+00f, 3.8562e+01f, 6.5078e+00f,3.3562e+01f, -5.8844e+01f, 2.2750e+01f, -1.0477e+01f, 7.7344e+00f, 9.5469e+00f,2.1391e+01f, -8.5312e+01f, 7.5830e-01f,2.3125e+01f, 1.8145e+00f, 1.4602e+01f,-4.5859e+00f, 3.9344e+01f, 1.1617e+01f,-8.6562e+01f, 1.0038e+02f, 6.7938e+01f,5.9961e+00f, 6.7812e+01f, 2.9734e+01f,2.9609e+01f, -6.1438e+01f, 1.7750e+01f,6.8562e+01f, -7.4414e+00f, 3.9656e+01f,1.1641e+01f, -2.7516e+01f, 6.7562e+01f,7.8438e+01f, 5.4883e+00f, 2.9438e+01f,-3.1344e+01f, 6.5125e+01f, 1.2695e+01f,4.0531e+01f, -6.1211e+00f, 6.2219e+01f,4.6812e+01f, 5.2250e+01f, -1.1414e+01f,1.5404e-02f, 2.9938e+01f, 5.6719e+00f,-2.0125e+01f, 2.1531e+01f, 6.2500e+01f,7.2188e+01f, 9.3750e+00f, -4.8125e+01f});
|
|
auto expected = NDArrayFactory::create<float>('c', { 5,4,1 }, {-47.82958221f, 34.46305847f, 21.36137581f, -21.91625023f,2.49686432f, -43.59792709f, 9.64180183f, 23.04854202f,40.7946167f, 44.98754883f, -25.19047546f, 20.64586449f,-4.97033119f, 30.0226841f, 30.30688286f, 15.61459541f,43.36166f, 18.22480774f, 13.74833488f, 21.59387016f});
|
|
|
|
sd::ops::rgb_to_grs op;
|
|
auto result = op.evaluate({ &rgbs }, {}, {});
|
|
auto output = result.at(0);
|
|
|
|
ASSERT_EQ(Status::OK(), result.status());
|
|
ASSERT_TRUE(expected.isSameShape(output));
|
|
ASSERT_TRUE(expected.equalsTo(output));
|
|
}
|
|
|
|
////////////////////////////////////////////////////////////////////////////////
|
|
TEST_F(DeclarableOpsTests15, test_rgb_to_grs_7) {
|
|
// rank 3
|
|
auto rgbs = NDArrayFactory::create<float>('c', { 5,3,4 }, { 1.7750e+01f, -7.1062e+01f, -1.0019e+02f,-2.3406e+01f, 5.2094e+01f, 9.5438e+01f, -6.7461e+00f, 3.8562e+01f, 6.5078e+00f,3.3562e+01f, -5.8844e+01f, 2.2750e+01f, -1.0477e+01f, 7.7344e+00f, 9.5469e+00f,2.1391e+01f, -8.5312e+01f, 7.5830e-01f,2.3125e+01f, 1.8145e+00f, 1.4602e+01f,-4.5859e+00f, 3.9344e+01f, 1.1617e+01f,-8.6562e+01f, 1.0038e+02f, 6.7938e+01f,5.9961e+00f, 6.7812e+01f, 2.9734e+01f,2.9609e+01f, -6.1438e+01f, 1.7750e+01f,6.8562e+01f, -7.4414e+00f, 3.9656e+01f,1.1641e+01f, -2.7516e+01f, 6.7562e+01f,7.8438e+01f, 5.4883e+00f, 2.9438e+01f,-3.1344e+01f, 6.5125e+01f, 1.2695e+01f,4.0531e+01f, -6.1211e+00f, 6.2219e+01f,4.6812e+01f, 5.2250e+01f, -1.1414e+01f,1.5404e-02f, 2.9938e+01f, 5.6719e+00f,-2.0125e+01f, 2.1531e+01f, 6.2500e+01f,7.2188e+01f, 9.3750e+00f, -4.8125e+01f});
|
|
auto expected = NDArrayFactory::create<float>('c', { 5,1,4 }, { 36.626545f, 38.607746f, -40.614971f, 18.233341f, -51.545094f,2.234142f, 20.913160f, 8.783220f, 15.955761f, 55.273506f, 36.838833f, -29.751089f, 8.148357f, 13.676106f, 1.097548f, 68.766457f, 38.690712f, 27.176361f, -14.156269f, 7.157052f });
|
|
|
|
sd::ops::rgb_to_grs op;
|
|
auto result = op.evaluate({ &rgbs }, {}, {1});
|
|
auto output = result.at(0);
|
|
|
|
ASSERT_EQ(Status::OK(), result.status());
|
|
ASSERT_TRUE(expected.isSameShape(output));
|
|
ASSERT_TRUE(expected.equalsTo(output));
|
|
}
|
|
|
|
////////////////////////////////////////////////////////////////////////////////
|
|
TEST_F(DeclarableOpsTests15, test_rgb_to_grs_8) {
|
|
// rank 3
|
|
auto rgbs = NDArrayFactory::create<float>('c', { 3,5,4 }, {1.7750e+01f, -7.1062e+01f, -1.0019e+02f,-2.3406e+01f, 5.2094e+01f, 9.5438e+01f, -6.7461e+00f, 3.8562e+01f, 6.5078e+00f,3.3562e+01f, -5.8844e+01f, 2.2750e+01f, -1.0477e+01f, 7.7344e+00f, 9.5469e+00f,2.1391e+01f, -8.5312e+01f, 7.5830e-01f,2.3125e+01f, 1.8145e+00f, 1.4602e+01f,-4.5859e+00f, 3.9344e+01f, 1.1617e+01f,-8.6562e+01f, 1.0038e+02f, 6.7938e+01f,5.9961e+00f, 6.7812e+01f, 2.9734e+01f,2.9609e+01f, -6.1438e+01f, 1.7750e+01f,6.8562e+01f, -7.4414e+00f, 3.9656e+01f,1.1641e+01f, -2.7516e+01f, 6.7562e+01f,7.8438e+01f, 5.4883e+00f, 2.9438e+01f,-3.1344e+01f, 6.5125e+01f, 1.2695e+01f,4.0531e+01f, -6.1211e+00f, 6.2219e+01f,4.6812e+01f, 5.2250e+01f, -1.1414e+01f,1.5404e-02f, 2.9938e+01f, 5.6719e+00f,-2.0125e+01f, 2.1531e+01f, 6.2500e+01f,7.2188e+01f, 9.3750e+00f, -4.8125e+01f});
|
|
try {
|
|
sd::ops::rgb_to_grs op;
|
|
auto result = op.evaluate({ &rgbs }, {}, {});
|
|
ASSERT_EQ(Status::THROW(), result.status());
|
|
|
|
} catch (std::exception& e) {
|
|
nd4j_printf("Error should be here `%s'. It's OK.\n", e.what());
|
|
}
|
|
}
|
|
|
|
////////////////////////////////////////////////////////////////////////////////
|
|
TEST_F(DeclarableOpsTests15, test_rgb_to_grs_9) {
|
|
// rank 3
|
|
auto rgbs = NDArrayFactory::create<float>('f', { 2, 2, 3 }, { 1.7750e+01f,-7.1062e+01f, -1.0019e+02f, -2.3406e+01f,5.2094e+01f,9.5438e+01f, -6.7461e+00f,3.8562e+01f, 6.5078e+00f, 3.3562e+01f,-5.8844e+01f,2.2750e+01f});
|
|
auto expected = NDArrayFactory::create<float>('f', { 2,2,1 }, { 36.626545f, 38.607746f, -40.614971f, 18.233341f });
|
|
|
|
sd::ops::rgb_to_grs op;
|
|
auto result = op.evaluate({ &rgbs }, {}, {});
|
|
auto output = result.at(0);
|
|
|
|
ASSERT_EQ(Status::OK(), result.status());
|
|
ASSERT_TRUE(expected.isSameShape(output));
|
|
ASSERT_TRUE(expected.equalsTo(output));
|
|
}
|
|
|
|
////////////////////////////////////////////////////////////////////////////////
|
|
TEST_F(DeclarableOpsTests15, test_rgb_to_yuv_1) {
|
|
// rank 1
|
|
NDArray rgbs('f', { 3 }, { 10, 50, 200 }, sd::DataType::FLOAT32);
|
|
NDArray expected('f', { 3 }, { 55.14 , 71.2872001, -39.6005542 }, sd::DataType::FLOAT32);
|
|
sd::ops::rgb_to_yuv op;
|
|
auto result = op.evaluate({ &rgbs }, {}, {});
|
|
auto output = result.at(0);
|
|
|
|
ASSERT_EQ(Status::OK(), result.status());
|
|
ASSERT_TRUE(expected.isSameShape(output));
|
|
ASSERT_TRUE(expected.equalsTo(output));
|
|
}
|
|
|
|
////////////////////////////////////////////////////////////////////////////////
|
|
TEST_F(DeclarableOpsTests15, test_rgb_to_yuv_2) {
|
|
|
|
NDArray rgbs('c', { 3, 2 }, { 14., 99., 207., 10., 114., 201. }, sd::DataType::FLOAT32);
|
|
rgbs.permutei({ 1,0 });
|
|
|
|
NDArray expected('c', { 2, 3 }, { 138.691, -12.150713, -109.38929, 58.385, 70.18241, 35.63085 }, sd::DataType::FLOAT32);
|
|
sd::ops::rgb_to_yuv op;
|
|
|
|
auto result = op.evaluate({ &rgbs }, {}, {});
|
|
auto output = result.at(0);
|
|
|
|
ASSERT_EQ(Status::OK(), result.status());
|
|
ASSERT_TRUE(expected.isSameShape(output));
|
|
ASSERT_TRUE(expected.equalsTo(output));
|
|
}
|
|
|
|
////////////////////////////////////////////////////////////////////////////////
|
|
TEST_F(DeclarableOpsTests15, test_rgb_to_yuv_3) {
|
|
// rank 2
|
|
NDArray rgbs('c', { 3, 4 }, { -9.4, 9.9, 9.7, 9.0, 1.14, 1.01, 1.11, 9.6, 1.05, 10.0, 1.03, 10.22 }, sd::DataType::FLOAT32);
|
|
NDArray expected('c', { 3, 4 }, { -2.021720, 4.692970, 3.669290, 9.491281, 1.511627, 2.611648, -1.298824, 0.358612, -6.472839, 4.568039, 5.290639, -0.430992 }, sd::DataType::FLOAT32);
|
|
|
|
sd::ops::rgb_to_yuv op;
|
|
auto result = op.evaluate({ &rgbs }, {}, { 0 });
|
|
auto output = result.at(0);
|
|
ASSERT_EQ(Status::OK(), result.status());
|
|
ASSERT_TRUE(expected.isSameShape(output));
|
|
ASSERT_TRUE(expected.equalsTo(output));
|
|
}
|
|
|
|
////////////////////////////////////////////////////////////////////////////////
|
|
TEST_F(DeclarableOpsTests15, test_rgb_to_yuv_4) {
|
|
// rank 3
|
|
NDArray rgbs('c', { 5,4,3 }, { 1.7750e+01, 1.4602e+01, 5.4883e+00, 9.5438e+01, 1.0038e+02, 4.0531e+01, -5.8844e+01, 2.9609e+01, -1.1414e+01, 2.1391e+01, 3.9656e+01, 2.1531e+01, -7.1062e+01, -4.5859e+00, 2.9438e+01, -6.7461e+00, 6.7938e+01, -6.1211e+00, 2.2750e+01, -6.1438e+01, 1.5404e-02, -8.5312e+01, 1.1641e+01, 6.2500e+01, -1.0019e+02, 3.9344e+01, -3.1344e+01, 3.8562e+01, 5.9961e+00, 6.2219e+01, -1.0477e+01, 1.7750e+01, 2.9938e+01, 7.5830e-01, -2.7516e+01, 7.2188e+01, -2.3406e+01, 1.1617e+01, 6.5125e+01, 6.5078e+00, 6.7812e+01, 4.6812e+01, 7.7344e+00, 6.8562e+01, 5.6719e+00, 2.3125e+01, 6.7562e+01, 9.3750e+00, 5.2094e+01, -8.6562e+01, 1.2695e+01, 3.3562e+01, 2.9734e+01, 5.2250e+01, 9.5469e+00, -7.4414e+00, -2.0125e+01, 1.8145e+00, 7.8438e+01, -4.8125e+01 }, sd::DataType::FLOAT32);
|
|
NDArray expected('c', { 5,4,3 }, { 14.5042902, -4.43686799, 2.847406, 92.079556, -25.36761168, 2.94630572, -1.515069, -4.87137291, -50.29369639, 32.128515, -5.21515376, -9.41983935,-20.5835293, 24.61614501, -44.28390394, 37.1647167, -21.30142676, -38.52221293, -29.26009994, 14.40679768, 45.62757638, -11.550021, 36.44083018, -64.71012983,-10.435098, - 10.28950082, - 78.74044941, 22.1427147, 19.72198103, 14.40435988, 10.699559, 9.46744852, - 18.5778351 , -7.6957283, 39.31166179, 7.41657542, 7.245035, 28.48336771, - 26.88963173, 47.0880442, - 0.13584441, - 35.60035823, 43.2050762, - 18.47048906, - 31.11782117, 47.642019, - 18.83162118, - 21.50836396,-33.788558, 22.87507047, 75.34330791, 33.445396, 9.25395257, 0.10229474, -3.8078287, -8.02985955, 11.71587638, 41.0993915, -43.90830496, -34.46396749 }, sd::DataType::FLOAT32);
|
|
|
|
sd::ops::rgb_to_yuv op;
|
|
auto result = op.evaluate({ &rgbs }, {}, {});
|
|
auto output = result.at(0);
|
|
|
|
ASSERT_EQ(Status::OK(), result.status());
|
|
ASSERT_TRUE(expected.isSameShape(output));
|
|
ASSERT_TRUE(expected.equalsTo(output));
|
|
}
|
|
|
|
////////////////////////////////////////////////////////////////////////////////
|
|
TEST_F(DeclarableOpsTests15, test_rgb_to_yuv_5) {
|
|
// rank 3
|
|
NDArray rgbs('c', { 5,3,4 }, { 1.7750e+01f, -7.1062e+01f, -1.0019e+02f,-2.3406e+01f, 5.2094e+01f, 9.5438e+01f, -6.7461e+00f, 3.8562e+01f, 6.5078e+00f,3.3562e+01f, -5.8844e+01f, 2.2750e+01f, -1.0477e+01f, 7.7344e+00f, 9.5469e+00f,2.1391e+01f, -8.5312e+01f, 7.5830e-01f,2.3125e+01f, 1.8145e+00f, 1.4602e+01f,-4.5859e+00f, 3.9344e+01f, 1.1617e+01f,-8.6562e+01f, 1.0038e+02f, 6.7938e+01f,5.9961e+00f, 6.7812e+01f, 2.9734e+01f,2.9609e+01f, -6.1438e+01f, 1.7750e+01f,6.8562e+01f, -7.4414e+00f, 3.9656e+01f,1.1641e+01f, -2.7516e+01f, 6.7562e+01f,7.8438e+01f, 5.4883e+00f, 2.9438e+01f,-3.1344e+01f, 6.5125e+01f, 1.2695e+01f,4.0531e+01f, -6.1211e+00f, 6.2219e+01f,4.6812e+01f, 5.2250e+01f, -1.1414e+01f,1.5404e-02f, 2.9938e+01f, 5.6719e+00f,-2.0125e+01f, 2.1531e+01f, 6.2500e+01f,7.2188e+01f, 9.3750e+00f, -4.8125e+01f }, sd::DataType::FLOAT32);
|
|
NDArray expected('c', { 5,3,4 }, { 36.628319, 38.600643,-40.624989, 18.231001, - 14.822637, - 2.479566, - 8.965780, 2.223851, -16.561626,-96.205162,-52.255379,-36.527435,-51.546139,2.234915, 20.914114, 8.785358, 32.552223, -3.356598, 9.069552, 1.393482,36.029255, 4.824605,- 9.972263,11.058715, 15.947105, 55.283543, 36.845627, -29.750486,0.887228, 6.534475, -21.794132,34.155693, -89.929497,39.562351, 27.276817,31.359871, 8.149521, 13.673355, 1.104303, 68.774300, 2.236881, 13.216944, - 3.555702,- 3.225931,3.063015, - 36.134724,58.302204, 8.477802, 38.695396,27.181587, - 14.157411,7.157054, 11.714512, 22.148155, 11.580557, - 27.204905,7.120562, 21.992094, 2.406748, - 6.265247, }, sd::DataType::FLOAT32);
|
|
|
|
sd::ops::rgb_to_yuv op;
|
|
auto result = op.evaluate({ &rgbs }, {}, { 1 });
|
|
auto output = result.at(0);
|
|
|
|
ASSERT_EQ(Status::OK(), result.status());
|
|
ASSERT_TRUE(expected.isSameShape(output));
|
|
ASSERT_TRUE(expected.equalsTo(output));
|
|
|
|
}
|
|
|
|
////////////////////////////////////////////////////////////////////////////////
|
|
TEST_F(DeclarableOpsTests15, test_rgb_to_yuv_6) {
|
|
// rank 3
|
|
NDArray rgbs('c', { 3,5,4 }, { 1.7750e+01f, -7.1062e+01f, -1.0019e+02f,-2.3406e+01f, 5.2094e+01f, 9.5438e+01f, -6.7461e+00f, 3.8562e+01f, 6.5078e+00f,3.3562e+01f, -5.8844e+01f, 2.2750e+01f, -1.0477e+01f, 7.7344e+00f, 9.5469e+00f,2.1391e+01f, -8.5312e+01f, 7.5830e-01f,2.3125e+01f, 1.8145e+00f, 1.4602e+01f,-4.5859e+00f, 3.9344e+01f, 1.1617e+01f,-8.6562e+01f, 1.0038e+02f, 6.7938e+01f,5.9961e+00f, 6.7812e+01f, 2.9734e+01f,2.9609e+01f, -6.1438e+01f, 1.7750e+01f,6.8562e+01f, -7.4414e+00f, 3.9656e+01f,1.1641e+01f, -2.7516e+01f, 6.7562e+01f,7.8438e+01f, 5.4883e+00f, 2.9438e+01f,-3.1344e+01f, 6.5125e+01f, 1.2695e+01f,4.0531e+01f, -6.1211e+00f, 6.2219e+01f,4.6812e+01f, 5.2250e+01f, -1.1414e+01f,1.5404e-02f, 2.9938e+01f, 5.6719e+00f,-2.0125e+01f, 2.1531e+01f, 6.2500e+01f,7.2188e+01f, 9.3750e+00f, -4.8125e+01f }, sd::DataType::FLOAT32);
|
|
try {
|
|
sd::ops::rgb_to_yuv op;
|
|
auto result = op.evaluate({ &rgbs }, {}, {});
|
|
ASSERT_EQ(Status::THROW(), result.status());
|
|
|
|
}
|
|
catch (std::exception & e) {
|
|
nd4j_printf("Error should be here `%s'. It's OK.\n", e.what());
|
|
}
|
|
}
|
|
|
|
////////////////////////////////////////////////////////////////////////////////
|
|
TEST_F(DeclarableOpsTests15, test_rgb_to_yuv_7) {
|
|
// rank 3
|
|
NDArray rgbs('f', { 2, 2, 3 }, { 1.7750e+01f,-7.1062e+01f, -1.0019e+02f, -2.3406e+01f,5.2094e+01f,9.5438e+01f, -6.7461e+00f,3.8562e+01f, 6.5078e+00f, 3.3562e+01f,-5.8844e+01f,2.2750e+01f }, sd::DataType::FLOAT32);
|
|
NDArray expected('f', { 2,2,3 }, { 36.628319,38.600643, -40.624989,18.231001, -14.822637,-2.479566, -8.965780, 2.223851, -16.561626,- 96.205162,-52.255379, -36.527435 }, sd::DataType::FLOAT32);
|
|
|
|
sd::ops::rgb_to_yuv op;
|
|
auto result = op.evaluate({ &rgbs }, {}, {});
|
|
auto output = result.at(0);
|
|
|
|
ASSERT_EQ(Status::OK(), result.status());
|
|
ASSERT_TRUE(expected.isSameShape(output));
|
|
ASSERT_TRUE(expected.equalsTo(output));
|
|
}
|
|
|
|
////////////////////////////////////////////////////////////////////////////////
|
|
TEST_F(DeclarableOpsTests15, test_yuv_to_rgb_1) {
|
|
// rank 1
|
|
NDArray yuv('c', { 3 }, { 55.14 , 71.2872001, -39.6005542 }, sd::DataType::FLOAT32);
|
|
NDArray expected('c', { 3 }, { 10, 50, 200 }, sd::DataType::FLOAT32);
|
|
sd::ops::yuv_to_rgb op;
|
|
auto result = op.evaluate({ &yuv }, {}, {});
|
|
auto output = result.at(0);
|
|
|
|
ASSERT_EQ(Status::OK(), result.status());
|
|
ASSERT_TRUE(expected.isSameShape(output));
|
|
ASSERT_TRUE(expected.equalsTo(output));
|
|
|
|
|
|
}
|
|
|
|
////////////////////////////////////////////////////////////////////////////////
|
|
TEST_F(DeclarableOpsTests15, test_yuv_to_rgb_2) {
|
|
// rank 1
|
|
NDArray yuv('f', { 3 }, { 55.14, 71.2872001, -39.6005542 }, sd::DataType::FLOAT32);
|
|
NDArray expected('f', { 3 }, { 10, 50, 200 }, sd::DataType::FLOAT32);
|
|
sd::ops::yuv_to_rgb op;
|
|
auto result = op.evaluate({ &yuv }, {}, {});
|
|
auto output = result.at(0);
|
|
|
|
ASSERT_EQ(Status::OK(), result.status());
|
|
ASSERT_TRUE(expected.isSameShape(output));
|
|
ASSERT_TRUE(expected.equalsTo(output));
|
|
}
|
|
|
|
////////////////////////////////////////////////////////////////////////////////
|
|
TEST_F(DeclarableOpsTests15, test_yuv_to_rgb_3) {
|
|
// rank 2
|
|
NDArray expected('c', { 3, 4 }, { -9.4, 9.9, 9.7, 9.0, 1.14, 1.01, 1.11, 9.6, 1.05, 10.0, 1.03, 10.22 }, sd::DataType::FLOAT32);
|
|
NDArray yuv('c', { 3, 4 }, { -2.021720, 4.692970, 3.669290, 9.491281, 1.511627, 2.611648, -1.298824, 0.358612, -6.472839, 4.568039, 5.290639, -0.430992 }, sd::DataType::FLOAT32);
|
|
|
|
sd::ops::yuv_to_rgb op;
|
|
auto result = op.evaluate({ &yuv }, {}, { 0 });
|
|
auto output = result.at(0);
|
|
ASSERT_EQ(Status::OK(), result.status());
|
|
ASSERT_TRUE(expected.isSameShape(output));
|
|
ASSERT_TRUE(expected.equalsTo(output));
|
|
}
|
|
|
|
////////////////////////////////////////////////////////////////////////////////
|
|
TEST_F(DeclarableOpsTests15, test_yuv_to_rgb_4) {
|
|
// rank 3
|
|
NDArray expected('c', { 5,4,3 }, { 1.7750e+01, 1.4602e+01, 5.4883e+00, 9.5438e+01, 1.0038e+02, 4.0531e+01, -5.8844e+01, 2.9609e+01, -1.1414e+01, 2.1391e+01, 3.9656e+01, 2.1531e+01, -7.1062e+01, -4.5859e+00, 2.9438e+01, -6.7461e+00, 6.7938e+01, -6.1211e+00, 2.2750e+01, -6.1438e+01, 1.5404e-02, -8.5312e+01, 1.1641e+01, 6.2500e+01, -1.0019e+02, 3.9344e+01, -3.1344e+01, 3.8562e+01, 5.9961e+00, 6.2219e+01, -1.0477e+01, 1.7750e+01, 2.9938e+01, 7.5830e-01, -2.7516e+01, 7.2188e+01, -2.3406e+01, 1.1617e+01, 6.5125e+01, 6.5078e+00, 6.7812e+01, 4.6812e+01, 7.7344e+00, 6.8562e+01, 5.6719e+00, 2.3125e+01, 6.7562e+01, 9.3750e+00, 5.2094e+01, -8.6562e+01, 1.2695e+01, 3.3562e+01, 2.9734e+01, 5.2250e+01, 9.5469e+00, -7.4414e+00, -2.0125e+01, 1.8145e+00, 7.8438e+01, -4.8125e+01 }, sd::DataType::FLOAT32);
|
|
NDArray yuv('c', { 5,4,3 }, { 14.5042902, -4.43686799, 2.847406, 92.079556, -25.36761168, 2.94630572, -1.515069, -4.87137291, -50.29369639, 32.128515, -5.21515376, -9.41983935,-20.5835293, 24.61614501, -44.28390394, 37.1647167, -21.30142676, -38.52221293, -29.26009994, 14.40679768, 45.62757638, -11.550021, 36.44083018, -64.71012983,-10.435098, -10.28950082, -78.74044941, 22.1427147, 19.72198103, 14.40435988, 10.699559, 9.46744852, -18.5778351 , -7.6957283, 39.31166179, 7.41657542, 7.245035, 28.48336771, -26.88963173, 47.0880442, -0.13584441, -35.60035823, 43.2050762, -18.47048906, -31.11782117, 47.642019, -18.83162118, -21.50836396,-33.788558, 22.87507047, 75.34330791, 33.445396, 9.25395257, 0.10229474, -3.8078287, -8.02985955, 11.71587638, 41.0993915, -43.90830496, -34.46396749 }, sd::DataType::FLOAT32);
|
|
|
|
sd::ops::yuv_to_rgb op;
|
|
auto result = op.evaluate({ &yuv }, {}, {});
|
|
auto output = result.at(0);
|
|
|
|
ASSERT_EQ(Status::OK(), result.status());
|
|
ASSERT_TRUE(expected.isSameShape(output));
|
|
ASSERT_TRUE(expected.equalsTo(output));
|
|
}
|
|
|
|
////////////////////////////////////////////////////////////////////////////////
|
|
TEST_F(DeclarableOpsTests15, test_yuv_to_rgb_5) {
|
|
// rank 3
|
|
NDArray expected('c', { 5,3,4 }, { 1.7750e+01f, -7.1062e+01f, -1.0019e+02f,-2.3406e+01f, 5.2094e+01f, 9.5438e+01f, -6.7461e+00f, 3.8562e+01f, 6.5078e+00f,3.3562e+01f, -5.8844e+01f, 2.2750e+01f, -1.0477e+01f, 7.7344e+00f, 9.5469e+00f,2.1391e+01f, -8.5312e+01f, 7.5830e-01f,2.3125e+01f, 1.8145e+00f, 1.4602e+01f,-4.5859e+00f, 3.9344e+01f, 1.1617e+01f,-8.6562e+01f, 1.0038e+02f, 6.7938e+01f,5.9961e+00f, 6.7812e+01f, 2.9734e+01f,2.9609e+01f, -6.1438e+01f, 1.7750e+01f,6.8562e+01f, -7.4414e+00f, 3.9656e+01f,1.1641e+01f, -2.7516e+01f, 6.7562e+01f,7.8438e+01f, 5.4883e+00f, 2.9438e+01f,-3.1344e+01f, 6.5125e+01f, 1.2695e+01f,4.0531e+01f, -6.1211e+00f, 6.2219e+01f,4.6812e+01f, 5.2250e+01f, -1.1414e+01f,1.5404e-02f, 2.9938e+01f, 5.6719e+00f,-2.0125e+01f, 2.1531e+01f, 6.2500e+01f,7.2188e+01f, 9.3750e+00f, -4.8125e+01f }, sd::DataType::FLOAT32);
|
|
NDArray yuv('c', { 5,3,4 }, { 36.628319, 38.600643,-40.624989, 18.231001, -14.822637, -2.479566, -8.965780, 2.223851, -16.561626,-96.205162,-52.255379,-36.527435,-51.546139,2.234915, 20.914114, 8.785358, 32.552223, -3.356598, 9.069552, 1.393482,36.029255, 4.824605,-9.972263,11.058715, 15.947105, 55.283543, 36.845627, -29.750486,0.887228, 6.534475, -21.794132,34.155693, -89.929497,39.562351, 27.276817,31.359871, 8.149521, 13.673355, 1.104303, 68.774300, 2.236881, 13.216944, -3.555702,-3.225931,3.063015, -36.134724,58.302204, 8.477802, 38.695396,27.181587, -14.157411,7.157054, 11.714512, 22.148155, 11.580557, -27.204905,7.120562, 21.992094, 2.406748, -6.265247, }, sd::DataType::FLOAT32);
|
|
|
|
sd::ops::yuv_to_rgb op;
|
|
auto result = op.evaluate({ &yuv }, {}, { 1 });
|
|
auto output = result.at(0);
|
|
|
|
ASSERT_EQ(Status::OK(), result.status());
|
|
ASSERT_TRUE(expected.isSameShape(output));
|
|
ASSERT_TRUE(expected.equalsTo(output));
|
|
|
|
}
|
|
|
|
////////////////////////////////////////////////////////////////////////////////
|
|
TEST_F(DeclarableOpsTests15, test_yuv_to_rgb_6) {
|
|
// rank 3
|
|
NDArray yuv('c', { 3,5,4 }, { 1.7750e+01f, -7.1062e+01f, -1.0019e+02f,-2.3406e+01f, 5.2094e+01f, 9.5438e+01f, -6.7461e+00f, 3.8562e+01f, 6.5078e+00f,3.3562e+01f, -5.8844e+01f, 2.2750e+01f, -1.0477e+01f, 7.7344e+00f, 9.5469e+00f,2.1391e+01f, -8.5312e+01f, 7.5830e-01f,2.3125e+01f, 1.8145e+00f, 1.4602e+01f,-4.5859e+00f, 3.9344e+01f, 1.1617e+01f,-8.6562e+01f, 1.0038e+02f, 6.7938e+01f,5.9961e+00f, 6.7812e+01f, 2.9734e+01f,2.9609e+01f, -6.1438e+01f, 1.7750e+01f,6.8562e+01f, -7.4414e+00f, 3.9656e+01f,1.1641e+01f, -2.7516e+01f, 6.7562e+01f,7.8438e+01f, 5.4883e+00f, 2.9438e+01f,-3.1344e+01f, 6.5125e+01f, 1.2695e+01f,4.0531e+01f, -6.1211e+00f, 6.2219e+01f,4.6812e+01f, 5.2250e+01f, -1.1414e+01f,1.5404e-02f, 2.9938e+01f, 5.6719e+00f,-2.0125e+01f, 2.1531e+01f, 6.2500e+01f,7.2188e+01f, 9.3750e+00f, -4.8125e+01f }, sd::DataType::FLOAT32);
|
|
try {
|
|
sd::ops::yuv_to_rgb op;
|
|
auto result = op.evaluate({ &yuv }, {}, {});
|
|
ASSERT_EQ(Status::THROW(), result.status());
|
|
|
|
}
|
|
catch (std::exception & e) {
|
|
nd4j_printf("Error should be here `%s'. It's OK.\n", e.what());
|
|
}
|
|
}
|
|
|
|
////////////////////////////////////////////////////////////////////////////////
|
|
TEST_F(DeclarableOpsTests15, test_yuv_to_rgb_7) {
|
|
// rank 3
|
|
NDArray expected('f', { 2, 2, 3 }, { 1.7750e+01f,-7.1062e+01f, -1.0019e+02f, -2.3406e+01f,5.2094e+01f,9.5438e+01f, -6.7461e+00f,3.8562e+01f, 6.5078e+00f, 3.3562e+01f,-5.8844e+01f,2.2750e+01f }, sd::DataType::FLOAT32);
|
|
NDArray yuv('f', { 2,2,3 }, { 36.628319, 38.600643, -40.624989, 18.231001, -14.822637, -2.479566, -8.965780, 2.223851, -16.561626, -96.205162, -52.255379, -36.527435 }, sd::DataType::FLOAT32);
|
|
|
|
sd::ops::yuv_to_rgb op;
|
|
auto result = op.evaluate({ &yuv }, {}, {});
|
|
auto output = result.at(0);
|
|
|
|
ASSERT_EQ(Status::OK(), result.status());
|
|
ASSERT_TRUE(expected.isSameShape(output));
|
|
ASSERT_TRUE(expected.equalsTo(output));
|
|
}
|
|
|
|
////////////////////////////////////////////////////////////////////////////////////////
|
|
|
|
TEST_F(DeclarableOpsTests15, Pow_BP_Test1) {
|
|
|
|
// same shape
|
|
NDArray x('c', { 2,2,2 }, { 4,3,2,5,7,8,-9,-12 }, sd::DataType::FLOAT32);
|
|
NDArray y('c', { 2,2,2 }, { 2,3,-2,4,-1,-4,10,8 }, sd::DataType::FLOAT32);
|
|
|
|
|
|
NDArray dLdz('c', { 2,2,2 }, sd::DataType::FLOAT32);
|
|
NDArray dLdxExp('c', { 2,2,2 }, { 8, 27, -0.25, 500, -0.0204082, -0.000122, -3.87420e+09, -2.86654e+08 }, sd::DataType::FLOAT32);
|
|
NDArray dLdyExp('c', { 2,2,2 }, { 22.18071, 29.66253, 0.17329, 1005.89874, 0.27799, 0.00051, 0, 0 }, sd::DataType::FLOAT32);
|
|
|
|
dLdz.assign(1.0);
|
|
|
|
sd::ops::Pow_bp op;
|
|
auto results = op.evaluate({ &x, &y, &dLdz }, {}, {});
|
|
|
|
ASSERT_EQ(ND4J_STATUS_OK, results.status());
|
|
|
|
auto* dLdx = results.at(0);
|
|
auto* dLdy = results.at(1);
|
|
|
|
ASSERT_TRUE(dLdxExp.isSameShape(dLdx));
|
|
ASSERT_TRUE(dLdxExp.equalsTo(dLdx));
|
|
ASSERT_TRUE(dLdyExp.isSameShape(dLdy));
|
|
ASSERT_TRUE(dLdyExp.equalsTo(dLdy));
|
|
}
|
|
|
|
TEST_F(DeclarableOpsTests15, Pow_BP_Test2) {
|
|
|
|
NDArray x('c', { 1,2,3 }, sd::DataType::FLOAT32);
|
|
NDArray y('c', { 3,2,1 }, sd::DataType::FLOAT32);
|
|
NDArray dLdz('c', { 3,2,3 }, sd::DataType::FLOAT32);
|
|
|
|
NDArray dLdxExp('c', { 1,2,3 }, { 16.8, 19.2, 21.6, 24., 26.4, 28.8 }, sd::DataType::FLOAT32);
|
|
NDArray dLdyExp('c', { 3,2,1 }, { 13.30843, 33.27106, 53.2337, 73.19634, 93.15898, 113.12162 }, sd::DataType::FLOAT32);
|
|
|
|
x.assign(4.0);
|
|
y.assign(2.0);
|
|
dLdz.linspace(0.1, 0.1);
|
|
|
|
sd::ops::Pow_bp op;
|
|
auto results = op.evaluate({ &x, &y, &dLdz }, {}, {});
|
|
ASSERT_EQ(ND4J_STATUS_OK, results.status());
|
|
|
|
auto* dLdx = results.at(0);
|
|
auto* dLdy = results.at(1);
|
|
|
|
ASSERT_TRUE(dLdxExp.isSameShape(dLdx));
|
|
ASSERT_TRUE(dLdxExp.equalsTo(dLdx));
|
|
ASSERT_TRUE(dLdyExp.isSameShape(dLdy));
|
|
ASSERT_TRUE(dLdyExp.equalsTo(dLdy));
|
|
|
|
}
|
|
|
|
TEST_F(DeclarableOpsTests15, Pow_BP_Test3) {
|
|
|
|
// y - same shape as dLdz
|
|
NDArray xY('c', { 1,2,3 }, sd::DataType::FLOAT32);
|
|
NDArray yY('c', { 3,2,3 }, sd::DataType::FLOAT32);
|
|
|
|
NDArray dLdxExpY('c', { 1,2,3 }, { 16.8, 19.2, 21.6, 24. , 26.4, 28.8 }, sd::DataType::FLOAT32);
|
|
NDArray dLdyExpY('c', { 3,2,3 }, { 2.21807, 4.43614, 6.65421, 8.87228, 11.09035, 13.30843, 15.5265 , 17.74457, 19.96264, 22.18071, 24.39878, 26.61685, 28.83492, 31.05299, 33.27106, 35.48914, 37.70721, 39.92528 }, sd::DataType::FLOAT32);
|
|
NDArray dLdz('c', { 3,2,3 }, sd::DataType::FLOAT32);
|
|
|
|
xY.assign(4.0);
|
|
yY.assign(2.0);
|
|
dLdz.linspace(0.1, 0.1);
|
|
|
|
sd::ops::Pow_bp op;
|
|
auto resultsY = op.evaluate({ &xY, &yY, &dLdz }, {}, {});
|
|
|
|
ASSERT_EQ(ND4J_STATUS_OK, resultsY.status());
|
|
|
|
auto* dLdxY = resultsY.at(0);
|
|
auto* dLdyY = resultsY.at(1);
|
|
|
|
ASSERT_TRUE(dLdxExpY.isSameShape(dLdxY));
|
|
ASSERT_TRUE(dLdxExpY.equalsTo(dLdxY));
|
|
ASSERT_TRUE(dLdyExpY.isSameShape(dLdyY));
|
|
ASSERT_TRUE(dLdyExpY.equalsTo(dLdyY));
|
|
}
|
|
|
|
TEST_F(DeclarableOpsTests15, Pow_BP_Test4) {
|
|
|
|
// x - same shape ad dLdz
|
|
NDArray yX('c', { 1,2,3 }, sd::DataType::FLOAT32);
|
|
NDArray xX('c', { 3,2,3 }, sd::DataType::FLOAT32);
|
|
|
|
NDArray dLdxExpX('c', { 3,2,3 }, { 3.2, 6.4, 9.6, 12.8, 16. , 19.2, 22.4, 25.6, 28.8, 32. , 35.2, 38.4, 41.6, 44.8, 48., 51.2, 54.4, 57.6 }, sd::DataType::FLOAT32);
|
|
NDArray dLdyExpX('c', { 1,2,3 }, { 23.28975, 26.61685, 29.94396, 33.27106, 36.59817, 39.92528 }, sd::DataType::FLOAT32);
|
|
|
|
NDArray dLdz('c', { 3,2,3 }, sd::DataType::FLOAT32);
|
|
dLdz.linspace(0.1, 0.1);
|
|
|
|
sd::ops::Pow_bp op;
|
|
|
|
xX.assign(2.0);
|
|
yX.assign(4.0);
|
|
|
|
auto resultsX = op.evaluate({ &xX, &yX, &dLdz }, {}, {});
|
|
|
|
ASSERT_EQ(ND4J_STATUS_OK, resultsX.status());
|
|
|
|
auto* dLdxX = resultsX.at(0);
|
|
auto* dLdyX = resultsX.at(1);
|
|
|
|
ASSERT_TRUE(dLdxExpX.isSameShape(dLdxX));
|
|
ASSERT_TRUE(dLdxExpX.equalsTo(dLdxX));
|
|
ASSERT_TRUE(dLdyExpX.isSameShape(dLdyX));
|
|
ASSERT_TRUE(dLdyExpX.equalsTo(dLdyX));
|
|
}
|
|
|
|
TEST_F(DeclarableOpsTests15, Pow_BP_Test5) {
|
|
|
|
// both single array
|
|
NDArray xConst('c', { 1 }, sd::DataType::FLOAT32);
|
|
NDArray yConst('c', { 1 }, sd::DataType::FLOAT32);
|
|
NDArray dLdz('c', { 1 }, sd::DataType::FLOAT32);
|
|
NDArray dLdxExp('c', { 1 }, sd::DataType::FLOAT32);
|
|
NDArray dLdyExp('c', { 1 }, sd::DataType::FLOAT32);
|
|
|
|
xConst.assign(3.0);
|
|
yConst.assign(4.0);
|
|
dLdz.assign(1.0);
|
|
|
|
dLdxExp.assign(4.0 * pow(3, 3));
|
|
dLdyExp.assign(pow(3, 4) * log(3));
|
|
|
|
sd::ops::Pow_bp op;
|
|
auto results = op.evaluate({ &xConst, &yConst, &dLdz }, {}, {});
|
|
ASSERT_EQ(ND4J_STATUS_OK, results.status());
|
|
|
|
auto* dLdx = results.at(0);
|
|
auto* dLdy = results.at(1);
|
|
|
|
ASSERT_TRUE(dLdxExp.isSameShape(dLdx));
|
|
ASSERT_TRUE(dLdxExp.equalsTo(dLdx));
|
|
|
|
ASSERT_TRUE(dLdyExp.isSameShape(dLdy));
|
|
ASSERT_TRUE(dLdyExp.equalsTo(dLdy));
|
|
}
|
|
|
|
TEST_F(DeclarableOpsTests15, Pow_BP_Test6) {
|
|
|
|
// x single array
|
|
NDArray xConst('c', { 1 }, sd::DataType::FLOAT32);
|
|
NDArray y('c', { 2, 2, 2 }, sd::DataType::FLOAT32);
|
|
NDArray dLdzC('c', { 2, 2, 2 }, sd::DataType::FLOAT32);
|
|
|
|
xConst.assign(2.0);
|
|
y.assign(4.0);
|
|
dLdzC.linspace(0.1, 0.1);
|
|
|
|
NDArray dLdxExpXC('c', { 1 }, std::vector<double>{ 115.2 }, sd::DataType::FLOAT32);
|
|
NDArray dLdyExpXC('c', { 2, 2, 2 }, { 1.10904, 2.21807, 3.32711, 4.43614, 5.54518, 6.65421, 7.76325, 8.87228 }, sd::DataType::FLOAT32);
|
|
|
|
sd::ops::Pow_bp op;
|
|
auto resultsXC = op.evaluate({ &xConst, &y, &dLdzC }, {}, {});
|
|
ASSERT_EQ(ND4J_STATUS_OK, resultsXC.status());
|
|
|
|
auto* dLdxXC = resultsXC.at(0);
|
|
auto* dLdyXC = resultsXC.at(1);
|
|
|
|
ASSERT_TRUE(dLdxExpXC.isSameShape(dLdxXC));
|
|
ASSERT_TRUE(dLdxExpXC.equalsTo(dLdxXC));
|
|
ASSERT_TRUE(dLdyExpXC.isSameShape(dLdyXC));
|
|
ASSERT_TRUE(dLdyExpXC.equalsTo(dLdyXC));
|
|
|
|
}
|
|
|
|
TEST_F(DeclarableOpsTests15, Pow_BP_Test7) {
|
|
|
|
// Y - scalar
|
|
auto Y = NDArrayFactory::create<float>(2.f);
|
|
NDArray x('c', { 2, 2, 2 }, sd::DataType::FLOAT32);
|
|
NDArray dLdzC('c', { 2, 2, 2 }, sd::DataType::FLOAT32);
|
|
|
|
dLdzC.linspace(0.1, 0.1);
|
|
x = 4.f;
|
|
|
|
NDArray dLdxExpYs('c', { 2, 2, 2 }, { 0.8, 1.6, 2.4, 3.2, 4., 4.8, 5.6, 6.4 }, sd::DataType::FLOAT32);
|
|
|
|
auto dLdyExpYs = NDArrayFactory::create<float>(79.85056f);
|
|
|
|
sd::ops::Pow_bp op;
|
|
auto resultsYs = op.evaluate({ &x, &Y, &dLdzC }, {}, {});
|
|
ASSERT_EQ(ND4J_STATUS_OK, resultsYs.status());
|
|
|
|
auto* dLdxY = resultsYs.at(0);
|
|
auto* dLdyY = resultsYs.at(1);
|
|
|
|
ASSERT_TRUE(dLdxExpYs.isSameShape(dLdxY));
|
|
ASSERT_TRUE(dLdxExpYs.equalsTo(dLdxY));
|
|
ASSERT_TRUE(dLdyExpYs.isSameShape(dLdyY));
|
|
ASSERT_TRUE(dLdyExpYs.equalsTo(dLdyY));
|
|
}
|
|
|
|
TEST_F(DeclarableOpsTests15, Pow_BP_Test8) {
|
|
// both scalars
|
|
|
|
auto X = NDArrayFactory::create<float>(4.f);
|
|
auto Y = NDArrayFactory::create<float>(2.f);
|
|
NDArray dLdz = NDArrayFactory::create<float>(0.1f);
|
|
|
|
NDArray dLdxExp = NDArrayFactory::create<float>(2.f*4.f*0.1f);
|
|
|
|
NDArray dLdyExp = NDArrayFactory::create<float>(pow(4.f, 2.f) * log(4.f) * 0.1f);
|
|
|
|
sd::ops::Pow_bp op;
|
|
auto results = op.evaluate({ &X, &Y, &dLdz }, {}, {});
|
|
|
|
ASSERT_EQ(ND4J_STATUS_OK, results.status());
|
|
|
|
auto* dLdx = results.at(0);
|
|
auto* dLdy = results.at(1);
|
|
|
|
ASSERT_TRUE(dLdxExp.isSameShape(dLdx));
|
|
ASSERT_TRUE(dLdxExp.equalsTo(dLdx));
|
|
ASSERT_TRUE(dLdyExp.isSameShape(dLdy));
|
|
ASSERT_TRUE(dLdyExp.equalsTo(dLdy));
|
|
|
|
}
|
|
|
|
TEST_F(DeclarableOpsTests15, Pow_BP_Test9) {
|
|
|
|
sd::ops::Pow_bp op;
|
|
// diff shapes
|
|
NDArray x('c', { 3,2,1 }, sd::DataType::FLOAT32);
|
|
NDArray y('c', { 1,2,3 }, sd::DataType::FLOAT32);
|
|
NDArray dLdz('c', { 3,2,3 }, sd::DataType::FLOAT32);
|
|
|
|
NDArray dLdxExp('c', { 3,2,1 }, { 4.8, 12., 19.2, 26.4, 33.6, 40.8 }, sd::DataType::FLOAT32);
|
|
NDArray dLdyExp('c', { 1,2,3 }, { 46.57949, 53.2337 , 59.88792, 66.54213, 73.19634, 79.85056 }, sd::DataType::FLOAT32);
|
|
|
|
x.assign(4.0);
|
|
y.assign(2.0);
|
|
dLdz.linspace(0.1, 0.1);
|
|
|
|
auto results = op.evaluate({ &x, &y, &dLdz }, {}, {});
|
|
ASSERT_EQ(ND4J_STATUS_OK, results.status());
|
|
|
|
auto* dLdx = results.at(0);
|
|
auto* dLdy = results.at(1);
|
|
|
|
ASSERT_TRUE(dLdxExp.isSameShape(dLdx));
|
|
ASSERT_TRUE(dLdxExp.equalsTo(dLdx));
|
|
ASSERT_TRUE(dLdyExp.isSameShape(dLdy));
|
|
ASSERT_TRUE(dLdyExp.equalsTo(dLdy));
|
|
}
|
|
|
|
TEST_F(DeclarableOpsTests15, Pow_BP_Test10) {
|
|
|
|
// diff shapes broadcastable
|
|
NDArray yB('c', { 1,2,3,1 }, sd::DataType::FLOAT32);
|
|
NDArray xB('c', { 2,3,1 }, sd::DataType::FLOAT32);
|
|
|
|
NDArray dLdyExpB('c', { 1,2,3,1 }, { 2.21807, 4.43614, 6.65421, 8.87228, 11.09035, 13.30843 }, sd::DataType::FLOAT32);
|
|
NDArray dLdxExpB('c', { 2,3,1 }, { 0.8, 1.6, 2.4, 3.2, 4., 4.8 }, sd::DataType::FLOAT32);
|
|
NDArray dLdzB('c', { 1,2,3,1 }, sd::DataType::FLOAT32);
|
|
|
|
dLdzB.linspace(0.1, 0.1);
|
|
xB.assign(4.0);
|
|
yB.assign(2.0);
|
|
|
|
sd::ops::Pow_bp op;
|
|
auto resultsB = op.evaluate({ &xB, &yB, &dLdzB }, {}, {});
|
|
|
|
ASSERT_EQ(ND4J_STATUS_OK, resultsB.status());
|
|
|
|
auto* dLdxB = resultsB.at(0);
|
|
auto* dLdyB = resultsB.at(1);
|
|
|
|
ASSERT_TRUE(dLdxExpB.isSameShape(dLdxB));
|
|
ASSERT_TRUE(dLdxExpB.equalsTo(dLdxB));
|
|
|
|
ASSERT_TRUE(dLdyExpB.isSameShape(dLdyB));
|
|
ASSERT_TRUE(dLdyExpB.equalsTo(dLdyB));
|
|
}
|
|
|
|
TEST_F(DeclarableOpsTests15, Pow_BP_Test11) {
|
|
#ifdef FFAST_MATH
|
|
if (1 > 0)
|
|
return;
|
|
#endif
|
|
|
|
NDArray xB('c', { 3,2,1 }, { .4, 3, 5, .8, -9, -12 }, sd::DataType::FLOAT32);
|
|
NDArray yB('c', { 1,2,3 }, { 3, -2, .4, -4, 10, .8 }, sd::DataType::FLOAT32);
|
|
|
|
NDArray dLdxExpB('c', { 3,2,1 }, { -5.994056, 39366.191406, 7.508829, -2.223537, -std::numeric_limits<float>::quiet_NaN(), -std::numeric_limits<float>::quiet_NaN() }, sd::DataType::FLOAT32);
|
|
NDArray dLdyExpB('c', { 1,2,3 }, { 20.11211, -1.119612, -std::numeric_limits<float>::quiet_NaN(), -0.1076, 12974.389648, -std::numeric_limits<float>::quiet_NaN() }, sd::DataType::FLOAT32);
|
|
|
|
NDArray dLdzB('c', { 3,2,3 }, { .1,.2,.3, .1,.2,.3, .1,.4,.1, .2,.1,.1, .3,.1,.5, .1, .7, .1 }, sd::DataType::FLOAT32);
|
|
|
|
sd::ops::Pow_bp op;
|
|
auto resultsB = op.evaluate({ &xB, &yB, &dLdzB }, {}, {});
|
|
|
|
ASSERT_EQ(ND4J_STATUS_OK, resultsB.status());
|
|
auto* dLdxB = resultsB.at(0);
|
|
auto* dLdyB = resultsB.at(1);
|
|
|
|
ASSERT_TRUE(dLdxExpB.isSameShape(dLdxB));
|
|
for (int i = 0; i < dLdxB->lengthOf(); ++i) {
|
|
if (!sd::math::nd4j_isnan(dLdxB->e<float>(i)) && !sd::math::nd4j_isnan(dLdxExpB.e<float>(i)))
|
|
ASSERT_NEAR(dLdxB->e<float>(i), dLdxExpB.e<float>(i), 0.00001);
|
|
}
|
|
|
|
ASSERT_TRUE(dLdyExpB.isSameShape(dLdyB));
|
|
for (int i = 0; i < dLdyB->lengthOf(); ++i) {
|
|
if (!sd::math::nd4j_isnan(dLdyB->e<float>(i)) && !sd::math::nd4j_isnan(dLdyExpB.e<float>(i)))
|
|
ASSERT_NEAR(dLdyB->e<float>(i), dLdyExpB.e<float>(i), 0.00001);
|
|
}
|
|
|
|
|
|
}
|
|
//////////////////////////////////////////////////////////////////////
|
|
TEST_F(DeclarableOpsTests15, TestTensorMmul_BP1) {
|
|
|
|
NDArray A('c', { 1, 2, 3 }, { 2.1, 2.2, 2.3, 2.4, 2.5, 2.6 }, sd::DataType::FLOAT32);
|
|
NDArray B('c', { 1, 2, 4 }, { 3.1, 3.2, 3.3, 3.4, 3.5, 3.6, 3.7, 3.8 }, sd::DataType::FLOAT32);
|
|
NDArray dLdC('c', { 3, 4 }, { .1, .2, .3, .4, .5, .6, .7, .8, .9, 1, 1.1, 1.1 }, sd::DataType::FLOAT32);
|
|
|
|
NDArray dLdA('c', { 1, 2, 3 }, { 3.3, 8.5, 13.36, 3.7, 9.54, 15. }, sd::DataType::FLOAT32);
|
|
NDArray dLdB('c', { 1, 2, 4 }, { 3.38, 4.04, 4.7, 5.13, 3.83, 4.58, 5.33, 5.82 }, sd::DataType::FLOAT32);
|
|
|
|
sd::ops::tensormmul_bp op_bp;
|
|
|
|
auto resultsBP = op_bp.evaluate({ &A, &B, &dLdC }, {}, { 2,0,1, 2,0,1 }, {});
|
|
|
|
ASSERT_EQ(ND4J_STATUS_OK, resultsBP.status());
|
|
|
|
auto* dLdAbp = resultsBP.at(0);
|
|
auto* dLdBbp = resultsBP.at(1);
|
|
|
|
ASSERT_TRUE(dLdA.isSameShape(*dLdAbp));
|
|
ASSERT_TRUE(dLdA.equalsTo(*dLdAbp));
|
|
|
|
ASSERT_TRUE(dLdB.isSameShape(*dLdBbp));
|
|
ASSERT_TRUE(dLdB.equalsTo(*dLdBbp));
|
|
|
|
}
|
|
//////////////////////////////////////////////////////////////////////
|
|
TEST_F(DeclarableOpsTests15, TestTensorMmul_BP2) {
|
|
|
|
NDArray A('c', { 1, 2, 3 }, { 2,2,2, 2,2,2 }, sd::DataType::FLOAT32);
|
|
NDArray B('c', { 1, 2, 3 }, { 3,3,3,3, 3,3 }, sd::DataType::FLOAT32);
|
|
NDArray dLdC('c', { 1 }, { 1 }, sd::DataType::FLOAT32);
|
|
|
|
sd::ops::tensormmul_bp op_bp;
|
|
auto resultsBP = op_bp.evaluate({ &A, &B, &dLdC }, {}, { 2,1,2, 2,1,2 }, {});
|
|
|
|
ASSERT_EQ(ND4J_STATUS_OK, resultsBP.status());
|
|
|
|
auto* dLdAbp = resultsBP.at(0);
|
|
auto* dLdBbp = resultsBP.at(1);
|
|
|
|
ASSERT_TRUE(B.isSameShape(*dLdAbp));
|
|
ASSERT_TRUE(B.equalsTo(*dLdAbp));
|
|
|
|
ASSERT_TRUE(A.isSameShape(*dLdBbp));
|
|
ASSERT_TRUE(A.equalsTo(*dLdBbp));
|
|
|
|
}
|
|
//////////////////////////////////////////////////////////////////////
|
|
TEST_F(DeclarableOpsTests15, TestTensorMmul_BP3) {
|
|
|
|
NDArray A('c', { 3, 2, 2 }, { 2.1, 2.2, 2.3, 2.4, 2.5, 2.6, 2.7, 2.8, 2.9, 3., 3.1, 3.2 }, sd::DataType::FLOAT32);
|
|
NDArray B('c', { 4, 2, 2 }, { 3.1, 3.2, 3.3, 3.4, 3.5, 3.6, 3.7, 3.8, 3.9, 4., 4.1, 4.2, 4.3, 4.4, 4.5, 4.6 }, sd::DataType::FLOAT32);
|
|
NDArray dLdC('c', { 3, 4 }, { .1, .2, .3, .4, .5, .6, .7, .8, .9, 1, 1.1, 1.2 }, sd::DataType::FLOAT32);
|
|
|
|
NDArray dA('c', { 3, 2, 2 }, { 3.9, 4., 4.1, 4.2, 9.82, 10.08, 10.34, 10.6, 15.74, 16.16, 16.58, 17. }, sd::DataType::FLOAT32);
|
|
NDArray dB('c', { 4, 2, 2 }, { 4.07, 4.22, 4.37, 4.52, 4.82, 5., 5.18, 5.36, 5.57, 5.78, 5.99, 6.2, 6.32, 6.56, 6.8, 7.04 }, sd::DataType::FLOAT32);
|
|
|
|
sd::ops::tensormmul_bp op_bp;
|
|
|
|
auto resultsBP = op_bp.evaluate({ &A, &B, &dLdC }, {}, { 2,1,2, 2,1,2 }, {});
|
|
|
|
ASSERT_EQ(ND4J_STATUS_OK, resultsBP.status());
|
|
|
|
auto* dLdAbp = resultsBP.at(0);
|
|
auto* dLdBbp = resultsBP.at(1);
|
|
|
|
ASSERT_TRUE(dA.isSameShape(*dLdAbp));
|
|
ASSERT_TRUE(dA.equalsTo(*dLdAbp));
|
|
|
|
ASSERT_TRUE(dB.isSameShape(*dLdBbp));
|
|
ASSERT_TRUE(dB.equalsTo(*dLdBbp));
|
|
|
|
}
|
|
//////////////////////////////////////////////////////////////////////
|
|
TEST_F(DeclarableOpsTests15, TestTensorMmul_BP4) {
|
|
|
|
NDArray A('c', { 3, 4, 1 }, { 0.4, 3, 5, 9, 23, 0.12, 8, 9, 0.1, 0, 124, 3 }, sd::DataType::FLOAT32);
|
|
NDArray B('c', { 2, 4, 1 }, { 4, 13, .5, 19, 2.3, 1.2, 18, .9 }, sd::DataType::FLOAT32);
|
|
NDArray dLdC('c', { 3, 2 }, { 1.1, 1.2, 1.3, 1.4, 1.5, 1.6 }, sd::DataType::FLOAT32);
|
|
|
|
NDArray dLdA('c', { 3, 4, 1 }, { 7.16, 15.74, 22.15, 21.98, 8.42, 18.58, 25.85, 25.96, 9.68, 21.42, 29.55, 29.94 }, sd::DataType::FLOAT32);
|
|
NDArray dLdB('c', { 2, 4, 1 }, { 30.49, 3.456, 201.9, 26.1, 32.84 , 3.768, 215.6, 28.2 }, sd::DataType::FLOAT32);
|
|
|
|
sd::ops::tensormmul_bp op_bp;
|
|
|
|
auto resultsBP = op_bp.evaluate({ &A, &B, &dLdC }, {}, { 2,1,2, 2,1,2 }, {});
|
|
|
|
ASSERT_EQ(ND4J_STATUS_OK, resultsBP.status());
|
|
|
|
auto* dLdAbp = resultsBP.at(0);
|
|
auto* dLdBbp = resultsBP.at(1);
|
|
|
|
ASSERT_TRUE(dLdA.isSameShape(*dLdAbp));
|
|
ASSERT_TRUE(dLdA.equalsTo(*dLdAbp));
|
|
|
|
ASSERT_TRUE(dLdB.isSameShape(*dLdBbp));
|
|
ASSERT_TRUE(dLdB.equalsTo(*dLdBbp));
|
|
|
|
}
|
|
//////////////////////////////////////////////////////////////////////
|
|
TEST_F(DeclarableOpsTests15, TestTensorMmul_BP5) {
|
|
|
|
NDArray A('c', { 3, 4, 1, 1 }, { 0.4, 3, 5, 9, 23, 0.12, 8, 9, 0.1, 0, 124, 3 }, sd::DataType::FLOAT32);
|
|
NDArray B('c', { 2, 4, 1, 1 }, { 4, 13, .5, 19, 2.3, 1.2, 18, .9 }, sd::DataType::FLOAT32);
|
|
NDArray dLdC('c', { 3, 1, 2, 1 }, { 1.1,1.2,1.3,1.4,1.5,1.6 }, sd::DataType::FLOAT32);
|
|
|
|
NDArray dLdA('c', { 3, 4, 1, 1 }, { 7.16, 15.74, 22.15, 21.98, 8.42, 18.58, 25.85, 25.96, 9.68, 21.42, 29.55, 29.94 }, sd::DataType::FLOAT32);
|
|
NDArray dLdB('c', { 2, 4, 1, 1 }, { 30.49, 3.456, 201.9, 26.1, 32.84, 3.768, 215.6, 28.2 }, sd::DataType::FLOAT32);
|
|
|
|
sd::ops::tensormmul_bp op_bp;
|
|
|
|
auto resultsBP = op_bp.evaluate({ &A, &B, &dLdC }, {}, { 2,1,2, 2,1,2 }, {});
|
|
|
|
ASSERT_EQ(ND4J_STATUS_OK, resultsBP.status());
|
|
|
|
auto* dLdAbp = resultsBP.at(0);
|
|
auto* dLdBbp = resultsBP.at(1);
|
|
|
|
ASSERT_TRUE(dLdA.isSameShape(*dLdAbp));
|
|
ASSERT_TRUE(dLdA.equalsTo(*dLdAbp));
|
|
|
|
ASSERT_TRUE(dLdB.isSameShape(*dLdBbp));
|
|
ASSERT_TRUE(dLdB.equalsTo(*dLdBbp));
|
|
|
|
}
|
|
//////////////////////////////////////////////////////////////////////
|
|
TEST_F(DeclarableOpsTests15, TestTensorMmul_BP6) {
|
|
|
|
NDArray A('c', { 2, 2, 2 }, { 2,2, 2,2, 2,2, 2,2 }, sd::DataType::FLOAT32);
|
|
NDArray B('c', { 2, 2, 2 }, { 3,3, 3,3, 3,3, 3,3 }, sd::DataType::FLOAT32);
|
|
|
|
auto dLdC = NDArrayFactory::create<float>(1.f);
|
|
|
|
sd::ops::tensormmul_bp op_bp;
|
|
auto resultsBP = op_bp.evaluate({ &A, &B, &dLdC }, {}, { 3,0,1,2, 3,0,1,2 }, {});
|
|
|
|
ASSERT_EQ(ND4J_STATUS_OK, resultsBP.status());
|
|
|
|
auto* dLdAbp = resultsBP.at(0);
|
|
auto* dLdBbp = resultsBP.at(1);
|
|
|
|
ASSERT_TRUE(B.isSameShape(*dLdAbp));
|
|
ASSERT_TRUE(B.equalsTo(*dLdAbp));
|
|
|
|
ASSERT_TRUE(A.isSameShape(*dLdBbp));
|
|
ASSERT_TRUE(A.equalsTo(*dLdBbp));
|
|
|
|
}
|
|
//////////////////////////////////////////////////////////////////////
|
|
TEST_F(DeclarableOpsTests15, TestTensorMmul_BP7) {
|
|
|
|
NDArray A('c', { 3, 4, 1 }, { 0.4, 3, 5, 9, 23, 0.12, 8, 9, 0.1, 0, 124, 3 }, sd::DataType::FLOAT32);
|
|
NDArray B('c', { 2, 4, 1 }, { 4, 13, .5, 19, 2.3, 1.2, 18, .9 }, sd::DataType::FLOAT32);
|
|
NDArray dLdC('c', { 3, 1, 2, 1 }, { 1.1, 1.2, 1.3, 1.4, 1.5, 1.6 }, sd::DataType::FLOAT32);
|
|
|
|
NDArray dLdA('c', { 3, 4, 1 }, { 7.16, 15.74, 22.15, 21.98, 8.42, 18.58, 25.85, 25.96, 9.68, 21.42, 29.55, 29.94 }, sd::DataType::FLOAT32);
|
|
NDArray dLdB('c', { 2, 4, 1 }, { 30.49, 3.456, 201.9, 26.1, 32.84, 3.768, 215.6, 28.2 }, sd::DataType::FLOAT32);
|
|
|
|
sd::ops::tensormmul_bp op_bp;
|
|
|
|
auto resultsBP = op_bp.evaluate({ &A, &B, &dLdC }, {}, { 1,1, 1,1 }, {});
|
|
|
|
ASSERT_EQ(ND4J_STATUS_OK, resultsBP.status());
|
|
auto* dLdAbp = resultsBP.at(0);
|
|
auto* dLdBbp = resultsBP.at(1);
|
|
|
|
ASSERT_TRUE(dLdA.isSameShape(*dLdAbp));
|
|
ASSERT_TRUE(dLdA.equalsTo(*dLdAbp));
|
|
|
|
ASSERT_TRUE(dLdB.isSameShape(*dLdBbp));
|
|
ASSERT_TRUE(dLdB.equalsTo(*dLdBbp));
|
|
|
|
}
|
|
//////////////////////////////////////////////////////////////////////
|
|
TEST_F(DeclarableOpsTests15, TestTensorMmul_BP8) {
|
|
|
|
NDArray A('c', { 1, 1, 4, 3 }, { 0.4, 3, 5, 9, 23, 0.12, 8, 9, 0.1, 0, 124, 3 }, sd::DataType::FLOAT32);
|
|
NDArray B('c', { 1, 1, 4, 2 }, { 4, 13, .5, 19, 2.3, 1.2, 18, .9 }, sd::DataType::FLOAT32);
|
|
NDArray dLdC('c', { 3, 2 }, { 1.1,1.2,1.3,1.4,1.5,1.6 }, sd::DataType::FLOAT32);
|
|
|
|
NDArray dLdA('c', { 1, 1, 4, 3 }, { 20., 23.4, 26.8, 23.35, 27.25, 31.15, 3.97, 4.67, 5.37, 20.88, 24.66, 28.44 }, sd::DataType::FLOAT32);
|
|
NDArray dLdB('c', { 1, 1, 4, 2 }, { 11.84, 12.68, 39.98, 43.192, 20.65, 22.36, 165.7, 178.4 }, sd::DataType::FLOAT32);
|
|
|
|
sd::ops::tensormmul_bp op_bp;
|
|
|
|
auto resultsBP = op_bp.evaluate({ &A, &B, &dLdC }, {}, { 3,0,1,2, 3,0,1,2 }, {});
|
|
|
|
ASSERT_EQ(ND4J_STATUS_OK, resultsBP.status());
|
|
|
|
auto* dLdAbp = resultsBP.at(0);
|
|
auto* dLdBbp = resultsBP.at(1);
|
|
|
|
ASSERT_TRUE(dLdA.isSameShape(*dLdAbp));
|
|
ASSERT_TRUE(dLdA.equalsTo(*dLdAbp));
|
|
|
|
ASSERT_TRUE(dLdB.isSameShape(*dLdBbp));
|
|
ASSERT_TRUE(dLdB.equalsTo(*dLdBbp));
|
|
|
|
}
|
|
//////////////////////////////////////////////////////////////////////
|
|
TEST_F(DeclarableOpsTests15, TestTensorMmul_BP9) {
|
|
|
|
NDArray A('c', { 3, 2, 2, 1 }, { 2.1, 2.2, 2.3, 2.4, 2.5, 2.6, 2.7, 2.8, 2.9, 3., 3.1, 3.2 }, sd::DataType::FLOAT32);
|
|
NDArray B('c', { 4, 2, 2 ,1 }, { 3.1, 3.2, 3.3, 3.4, 3.5, 3.6, 3.7, 3.8, 3.9, 4., 4.1, 4.2, 4.3, 4.4, 4.5, 4.6 }, sd::DataType::FLOAT32);
|
|
NDArray dLdC('c', { 3, 1, 4, 1 }, { .1, .2, .3, .4, .5, .6, .7, .8, .9, 1, 1.1, 1.2 }, sd::DataType::FLOAT32);
|
|
|
|
NDArray dA('c', { 3, 2, 2, 1 }, { 3.9, 4., 4.1, 4.2, 9.82, 10.08, 10.34, 10.6, 15.74, 16.16, 16.58, 17. }, sd::DataType::FLOAT32);
|
|
NDArray dB('c', { 4, 2, 2, 1 }, { 4.07, 4.22, 4.37, 4.52, 4.82, 5., 5.18, 5.36, 5.57, 5.78, 5.99, 6.2, 6.32, 6.56, 6.8, 7.04 }, sd::DataType::FLOAT32);
|
|
|
|
sd::ops::tensormmul_bp op_bp;
|
|
|
|
auto resultsBP = op_bp.evaluate({ &A, &B, &dLdC }, {}, { 2,1,2, 2,1,2 }, {});
|
|
|
|
ASSERT_EQ(ND4J_STATUS_OK, resultsBP.status());
|
|
|
|
auto* dLdAbp = resultsBP.at(0);
|
|
auto* dLdBbp = resultsBP.at(1);
|
|
|
|
ASSERT_TRUE(dA.isSameShape(*dLdAbp));
|
|
ASSERT_TRUE(dA.equalsTo(*dLdAbp));
|
|
|
|
ASSERT_TRUE(dB.isSameShape(*dLdBbp));
|
|
ASSERT_TRUE(dB.equalsTo(*dLdBbp));
|
|
|
|
}
|
|
//////////////////////////////////////////////////////////////////////
|
|
TEST_F(DeclarableOpsTests15, TestTensorMmul_BP10) {
|
|
|
|
NDArray A('c', { 1, 2, 2, 3 }, { 2.1, 2.2, 2.3, 2.4, 2.5, 2.6, 2.7, 2.8, 2.9, 3., 3.1, 3.2 }, sd::DataType::FLOAT32);
|
|
NDArray B('c', { 1, 2, 2 ,4 }, { 3.1, 3.2, 3.3, 3.4, 3.5, 3.6, 3.7, 3.8, 3.9, 4., 4.1, 4.2, 4.3, 4.4, 4.5, 4.6 }, sd::DataType::FLOAT32);
|
|
NDArray dLdC('c', { 1, 3, 1, 4 }, { .1, .2, .3, .4, .5, .6, .7, .8, .9, 1, 1.1, 1.2 }, sd::DataType::FLOAT32);
|
|
|
|
|
|
NDArray dA('c', { 1, 2, 2, 3 }, { 3.3, 8.5, 13.7, 3.7, 9.54, 15.38, 4.1, 10.58, 17.06, 4.5, 11.62, 18.74 }, sd::DataType::FLOAT32);
|
|
NDArray dB('c', { 1, 2, 2, 4 }, { 3.38, 4.04, 4.7, 5.36, 3.83, 4.58, 5.33, 6.08, 4.28, 5.12, 5.96, 6.8, 4.73, 5.66, 6.59, 7.52 }, sd::DataType::FLOAT32);
|
|
|
|
sd::ops::tensormmul_bp op_bp;
|
|
|
|
auto resultsBP = op_bp.evaluate({ &A, &B, &dLdC }, {}, { 2,1,2, 2,1,2 }, {});
|
|
|
|
ASSERT_EQ(ND4J_STATUS_OK, resultsBP.status());
|
|
|
|
auto* dLdAbp = resultsBP.at(0);
|
|
auto* dLdBbp = resultsBP.at(1);
|
|
|
|
ASSERT_TRUE(dA.isSameShape(*dLdAbp));
|
|
ASSERT_TRUE(dA.equalsTo(*dLdAbp));
|
|
|
|
ASSERT_TRUE(dB.isSameShape(*dLdBbp));
|
|
ASSERT_TRUE(dB.equalsTo(*dLdBbp));
|
|
|
|
}
|
|
//////////////////////////////////////////////////////////////////////
|
|
TEST_F(DeclarableOpsTests15, TestTensorMmul_BP11) {
|
|
|
|
NDArray A('c', { 2, 2, 3 }, { 2.1, 2.2, 2.3, 2.4, 2.5, 2.6, 2.7, 2.8, 2.9, 3., 3.1, 3.2 }, sd::DataType::FLOAT32);
|
|
NDArray B('c', { 2, 2 ,4 }, { 3.1, 3.2, 3.3, 3.4, 3.5, 3.6, 3.7, 3.8, 3.9, 4., 4.1, 4.2, 4.3, 4.4, 4.5, 4.6 }, sd::DataType::FLOAT32);
|
|
NDArray dLdC('c', { 3, 4 }, { .1, .2, .3, .4, .5, .6, .7, .8, .9, 1, 1.1, 1.2 }, sd::DataType::FLOAT32);
|
|
|
|
|
|
NDArray dA('c', { 2, 2, 3 }, { 3.3, 8.5, 13.7, 3.7, 9.54, 15.38, 4.1, 10.58, 17.06, 4.5, 11.62, 18.74 }, sd::DataType::FLOAT32);
|
|
NDArray dB('c', { 2, 2, 4 }, { 3.38, 4.04, 4.7, 5.36, 3.83, 4.58, 5.33, 6.08, 4.28, 5.12, 5.96, 6.8, 4.73, 5.66, 6.59, 7.52 }, sd::DataType::FLOAT32);
|
|
|
|
sd::ops::tensormmul_bp op_bp;
|
|
|
|
auto resultsBP = op_bp.evaluate({ &A, &B, &dLdC }, {}, { 2,0,1, 2,0,1 }, {});
|
|
|
|
ASSERT_EQ(ND4J_STATUS_OK, resultsBP.status());
|
|
|
|
auto* dLdAbp = resultsBP.at(0);
|
|
auto* dLdBbp = resultsBP.at(1);
|
|
|
|
ASSERT_TRUE(dA.isSameShape(*dLdAbp));
|
|
ASSERT_TRUE(dA.equalsTo(*dLdAbp));
|
|
|
|
ASSERT_TRUE(dB.isSameShape(*dLdBbp));
|
|
ASSERT_TRUE(dB.equalsTo(*dLdBbp));
|
|
|
|
}
|
|
//////////////////////////////////////////////////////////////////////
|
|
TEST_F(DeclarableOpsTests15, TestTensorMmul_BP12) {
|
|
|
|
NDArray A('c', { 2, 2, 3 }, { 2.1, 2.2, 2.3, 2.4, 2.5, 2.6, 2.7, 2.8, 2.9, 3., 3.1, 3.2 }, sd::DataType::FLOAT32);
|
|
NDArray B('c', { 2, 2 ,3 }, { 3.1, 3.2, 3.3, 3.4, 3.5, 3.6, 3.7, 3.8, 3.9, 4., 4.1, 4.2 }, sd::DataType::FLOAT32);
|
|
NDArray dLdC('c', { 2, 3, 2, 3 }, { .1, .2, .3, .4, .5, .6, .7, .8, .9, 1, 1.1, 1.2,
|
|
1.3, 1.4, 1.5, 1.6, 1.7, 1.8, 1.9, 2., 2.1, 2.2, 2.3, 2.4,
|
|
2.5, 2.6, 2.7, 2.8, 2.9, 3., 3.1, 3.2, 3.3, 3.4, 3.5, 3.6 }, sd::DataType::FLOAT32);
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|
|
|
NDArray dA('c', { 2, 2, 3 }, { 7.66, 20.26, 32.86, 8.29, 21.97, 35.65, 45.46, 58.06, 70.66, 49.33, 63.01, 76.69 }, sd::DataType::FLOAT32);
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|
NDArray dB('c', { 2, 2, 3 }, { 25.86, 27.36, 28.86, 28.74, 30.42, 32.1, 30.36, 31.86, 33.36, 33.78, 35.46, 37.14 }, sd::DataType::FLOAT32);
|
|
|
|
sd::ops::tensormmul_bp op_bp;
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|
|
|
auto resultsBP = op_bp.evaluate({ &A, &B, &dLdC }, {}, { 1,1, 1,1 }, {});
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|
|
|
ASSERT_EQ(ND4J_STATUS_OK, resultsBP.status());
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|
|
|
auto* dLdAbp = resultsBP.at(0);
|
|
auto* dLdBbp = resultsBP.at(1);
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|
|
|
ASSERT_TRUE(dA.isSameShape(*dLdAbp));
|
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ASSERT_TRUE(dA.equalsTo(*dLdAbp));
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|
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|
ASSERT_TRUE(dB.isSameShape(*dLdBbp));
|
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ASSERT_TRUE(dB.equalsTo(*dLdBbp));
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|
|
|
}
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|
//////////////////////////////////////////////////////////////////////
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TEST_F(DeclarableOpsTests15, TestTensorMmul_BP13) {
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NDArray A('c', { 3, 2, 2 }, { 2.1, 2.2, 2.3, 2.4, 2.5, 2.6, 2.7, 2.8, 2.9, 3., 3.1, 3.2 }, sd::DataType::DOUBLE);
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|
NDArray B('c', { 3, 2, 2 }, { 3.1, 3.2, 3.3, 3.4, 3.5, 3.6, 3.7, 3.8, 3.9, 4., 4.1, 4.2 }, sd::DataType::DOUBLE);
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|
NDArray dLdC('c', { 3, 2, 3, 2 }, { .1, .2, .3, .4, .5, .6, .7, .8, .9, 1, 1.1, 1.2,
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|
1.3, 1.4, 1.5, 1.6, 1.7, 1.8, 1.9, 2., 2.1, 2.2, 2.3, 2.4,
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2.5, 2.6, 2.7, 2.8, 2.9, 3., 3.1, 3.2, 3.3, 3.4, 3.5, 3.6 }, sd::DataType::DOUBLE);
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|
|
|
NDArray dA('c', { 3, 2, 2 }, { 7.79, 20.57, 8.21, 21.71, 33.35, 46.13, 35.21, 48.71, 58.91, 71.69, 62.21, 75.71 }, sd::DataType::DOUBLE);
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|
NDArray dB('c', { 3, 2, 2 }, { 26.49, 28.02, 28.41, 30.06, 29.55, 31.08, 31.71, 33.36, 32.61, 34.14, 35.01, 36.66 }, sd::DataType::DOUBLE);
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|
|
|
sd::ops::tensormmul_bp op_bp;
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|
|
|
auto resultsBP = op_bp.evaluate({ &A, &B, &dLdC }, {}, { 1,1, 1,1 }, {});
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|
|
|
ASSERT_EQ(ND4J_STATUS_OK, resultsBP.status());
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|
|
|
auto* dLdAbp = resultsBP.at(0);
|
|
auto* dLdBbp = resultsBP.at(1);
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|
|
|
ASSERT_TRUE(dA.isSameShape(*dLdAbp));
|
|
ASSERT_TRUE(dA.equalsTo(*dLdAbp));
|
|
|
|
ASSERT_TRUE(dB.isSameShape(*dLdBbp));
|
|
ASSERT_TRUE(dB.equalsTo(*dLdBbp));
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|
|
|
}
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|
//////////////////////////////////////////////////////////////////////
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|
TEST_F(DeclarableOpsTests15, TestTensorMmul_BP14) {
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|
|
|
NDArray A('c', { 2, 2, 2, 2 }, { 2.1, 2.2, 2.3, 2.4, 2.5, 2.6, 2.7, 2.8, 2.9, 3., 3.1, 3.2, 3.3, 3.4, 3.5, 3.6 }, sd::DataType::DOUBLE);
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|
|
|
NDArray B('c', { 2, 2, 2, 2 }, { 3.1, 3.2, 3.3, 3.4, 3.5, 3.6, 3.7, 3.8, 3.9, 4., 4.1, 4.2, 4.3, 4.4, 4.5, 4.6 }, sd::DataType::DOUBLE);
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|
|
|
NDArray dLdC('c', { 2, 2, 2, 2, 2, 2 }, { .1, .2, .3, .4, .5, .6, .7, .8, .9, 1, 1.1, 1.2,
|
|
1.3, 1.4, 1.5, 1.6, .1, .2, .3, .4, .5, .6, .7, .8, .9, 1, 1.1, 1.2,
|
|
1.3, 1.4, 1.5, 1.6, .1, .2, .3, .4, .5, .6, .7, .8, .9, 1, 1.1, 1.2,
|
|
1.3, 1.4, 1.5, 1.6, .1, .2, .3, .4, .5, .6, .7, .8, .9, 1, 1.1, 1.2,
|
|
1.3, 1.4, 1.5, 1.6 }, sd::DataType::DOUBLE);
|
|
|
|
NDArray dA('c', { 2, 2, 2, 2 }, { 13.88, 37.24, 13.88, 37.24, 15.32, 41.24, 15.32, 41.24, 13.88, 37.24, 13.88, 37.24, 15.32, 41.24, 15.32, 41.24 }, sd::DataType::DOUBLE);
|
|
NDArray dB('c', { 2, 2, 2, 2 }, { 10.76, 12.88, 15., 17.12, 12.36, 14.8, 17.24, 19.68, 19.24, 21.36, 23.48, 25.6, 22.12, 24.56, 27., 29.44 }, sd::DataType::DOUBLE);
|
|
|
|
sd::ops::tensormmul_bp op_bp;
|
|
|
|
auto resultsBP = op_bp.evaluate({ &A, &B, &dLdC }, {}, { 1,1, 1,1 }, {});
|
|
|
|
ASSERT_EQ(ND4J_STATUS_OK, resultsBP.status());
|
|
|
|
auto* dLdAbp = resultsBP.at(0);
|
|
auto* dLdBbp = resultsBP.at(1);
|
|
|
|
ASSERT_TRUE(dA.isSameShape(*dLdAbp));
|
|
ASSERT_TRUE(dA.equalsTo(*dLdAbp));
|
|
|
|
ASSERT_TRUE(dB.isSameShape(*dLdBbp));
|
|
ASSERT_TRUE(dB.equalsTo(*dLdBbp));
|
|
|
|
}
|
|
//////////////////////////////////////////////////////////////////////
|
|
TEST_F(DeclarableOpsTests15, TestTensorMmul_BP15) {
|
|
|
|
NDArray A('c', { 2, 2, 3 }, { 1., 2., 3., 4., 5., 6., 7., 8., 9., 10., 11., 12. }, sd::DataType::FLOAT32);
|
|
NDArray B('f', { 2, 2, 3 }, { 1., 2., 3., 4., 5., 6., 7., 8., 9., 10., 11., 12. }, sd::DataType::FLOAT32);
|
|
|
|
NDArray dLdC('f', { 2, 2 }, { 23.0, 24.44, 2.0, 26. }, sd::DataType::FLOAT32);
|
|
|
|
NDArray dA('c', { 2, 2, 3 }, { 27., 127., 227., 77., 177., 277., 76.44, 278.20001, 479.96002, 177.32, 379.08001, 580.839966 }, sd::DataType::FLOAT32);
|
|
NDArray dB('f', { 2, 2, 3 }, { 194.08, 184., 336.4, 268., 241.52, 212., 383.839996, 296., 288.96002, 240., 431.27999, 324. }, sd::DataType::FLOAT32);
|
|
|
|
sd::ops::tensormmul_bp op;
|
|
auto results = op.evaluate({ &A, &B, &dLdC }, {}, { 2,1,2,2,1,2 });
|
|
|
|
ASSERT_EQ(ND4J_STATUS_OK, results.status());
|
|
|
|
auto* dLdA = results.at(0);
|
|
auto* dLdB = results.at(1);
|
|
|
|
ASSERT_TRUE(dA.isSameShape(*dLdA));
|
|
ASSERT_TRUE(dA.equalsTo(*dLdA));
|
|
|
|
ASSERT_TRUE(dB.isSameShape(*dLdB));
|
|
ASSERT_TRUE(dB.equalsTo(*dLdB));
|
|
|
|
}
|
|
//////////////////////////////////////////////////////////////////////
|
|
TEST_F(DeclarableOpsTests15, TestTensorMmul_BP16) {
|
|
|
|
NDArray A('f', { 2, 2, 3 }, { 1., 2., 3., 4., 5., 6., 7., 8., 9., 10., 11., 12. }, sd::DataType::DOUBLE);
|
|
NDArray B('c', { 2, 2, 3 }, { 1., 2., 3., 4., 5., 6., 7., 8., 9., 10., 11., 12. }, sd::DataType::DOUBLE);
|
|
|
|
NDArray dLdC('c', { 2, 2 }, sd::DataType::DOUBLE);
|
|
|
|
const OpArgsHolder argsHolderFF({ &A, &B }, {}, { 2,1,2, 2,1,2 });
|
|
const OpArgsHolder argsHolderBP({ &A, &B, &dLdC }, {}, { 2,1,2, 2,1,2 });
|
|
|
|
sd::ops::tensormmul op;
|
|
sd::ops::tensormmul_bp op_bp;
|
|
|
|
const bool isGradCorrect = GradCheck::checkGrad(op, op_bp, argsHolderFF, argsHolderBP, {1,0});
|
|
ASSERT_TRUE(isGradCorrect);
|
|
}
|
|
|
|
//////////////////////////////////////////////////////////////////////
|
|
TEST_F(DeclarableOpsTests15, TestTensorMmul_BP17) {
|
|
|
|
NDArray A('f', { 2, 2, 3 }, { 1., 2., 3., 4., 5., 6., 7., 8., 9., 10., 11., 12. }, sd::DataType::DOUBLE);
|
|
NDArray B('f', { 2, 2, 3 }, { 1., 2., 3., 4., 5., 6., 7., 8., 9., 10., 11., 12. }, sd::DataType::DOUBLE);
|
|
|
|
NDArray dLdC('c', { 2, 2 }, sd::DataType::DOUBLE);
|
|
|
|
const OpArgsHolder argsHolderFF({ &A, &B }, {}, { 2,1,2, 2,1,2 });
|
|
const OpArgsHolder argsHolderBP({ &A, &B, &dLdC }, {}, { 2,1,2, 2,1,2 });
|
|
|
|
sd::ops::tensormmul op;
|
|
sd::ops::tensormmul_bp op_bp;
|
|
|
|
const bool isGradCorrect = GradCheck::checkGrad(op, op_bp, argsHolderFF, argsHolderBP, { 1,0 });
|
|
ASSERT_TRUE(isGradCorrect);
|
|
}
|
|
|
|
|
|
//////////////////////////////////////////////////////////////////////
|
|
TEST_F(DeclarableOpsTests15, gru_1) {
|
|
|
|
const int sL = 3;
|
|
const int bS = 2;
|
|
const int nIn = 5;
|
|
const int nOut = 4;
|
|
|
|
|
|
NDArray x('c', {sL, bS, nIn}, {0.5, 1. , 1.5, 2. , 2.5, 3. , 3.5, 4. , 4.5, 5. , 5.5, 6. , 6.5, 7. , 7.5, 8. , 8.5, 9. , 9.5, 10. , 10.5, 11. , 11.5, 12. , 12.5, 13. , 13.5, 14. , 14.5, 15.}, sd::DataType::FLOAT32);
|
|
NDArray hI('c', {bS, nOut}, {-3,-2,-1,0,1,2,3,4}, sd::DataType::FLOAT32);
|
|
NDArray Wx('c', {nIn, 3*nOut}, sd::DataType::FLOAT32);
|
|
NDArray Wh('c', {nOut, 3*nOut}, sd::DataType::FLOAT32);
|
|
NDArray b('c', {3*nOut}, sd::DataType::FLOAT32);
|
|
|
|
NDArray expH('c', {sL, bS, nOut}, {-1.681847, -1.062565, -0.443283, 0.175998,0.837823, 1.488041, 2.13826 , 2.788478, -0.888747, -0.491826, -0.094907, 0.302014,
|
|
0.751355, 1.182715, 1.614075, 2.045434, -0.388876, -0.126716, 0.135444, 0.397604,0.710558, 1.002922, 1.295287, 1.587651}, sd::DataType::FLOAT32);
|
|
|
|
Wx = 0.003;
|
|
Wh = 0.006;
|
|
b = 0.5;
|
|
|
|
NDArray dLdC('c', { 2, 2 }, sd::DataType::DOUBLE);
|
|
|
|
sd::ops::gru op;
|
|
auto results = op.evaluate({&x, &hI, &Wx, &Wh, &b}, {}, {});
|
|
|
|
ASSERT_EQ(ND4J_STATUS_OK, results.status());
|
|
|
|
auto* h = results.at(0);
|
|
|
|
ASSERT_TRUE(expH.isSameShape(h));
|
|
ASSERT_TRUE(expH.equalsTo(h));
|
|
}
|
|
|
|
//////////////////////////////////////////////////////////////////////
|
|
TEST_F(DeclarableOpsTests15, gru_bp_1) {
|
|
|
|
const int sL = 3;
|
|
const int bS = 2;
|
|
const int nIn = 5;
|
|
const int nOut = 4;
|
|
|
|
|
|
NDArray x('c', {sL, bS, nIn}, {0.5, 1. , 1.5, 2. , 2.5, 3. , 3.5, 4. , 4.5, 5. , 5.5, 6. , 6.5, 7. , 7.5, 8. , 8.5, 9. , 9.5, 10. , 10.5, 11. , 11.5, 12. , 12.5, 13. , 13.5, 14. , 14.5, 15.}, sd::DataType::DOUBLE);
|
|
NDArray hI('c', {bS, nOut}, {-3,-2,-1,0,1,2,3,4}, sd::DataType::DOUBLE);
|
|
NDArray Wx('c', {nIn, 3*nOut}, sd::DataType::DOUBLE);
|
|
NDArray Wh('c', {nOut, 3*nOut}, sd::DataType::DOUBLE);
|
|
NDArray b('c', {3*nOut}, sd::DataType::DOUBLE);
|
|
|
|
NDArray dLdh('c', {sL, bS, nOut}, sd::DataType::DOUBLE);
|
|
|
|
Wx.linspace(1,-0.1);
|
|
Wh.linspace(0.2,0.2);
|
|
b.linspace(1,-0.15);
|
|
|
|
const OpArgsHolder argsHolderFF({&x, &hI, &Wx, &Wh, &b}, {}, {});
|
|
const OpArgsHolder argsHolderBP({&x, &hI, &Wx, &Wh, &b, &dLdh}, {}, {});
|
|
|
|
sd::ops::gru opFF;
|
|
sd::ops::gru_bp opBP;
|
|
|
|
const bool isGradCorrect = GradCheck::checkGrad(opFF, opBP, argsHolderFF, argsHolderBP);
|
|
}
|