94 lines
2.9 KiB
C++
94 lines
2.9 KiB
C++
/*******************************************************************************
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* Copyright (c) 2015-2019 Skymind, Inc.
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*
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* This program and the accompanying materials are made available under the
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* terms of the Apache License, Version 2.0 which is available at
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* https://www.apache.org/licenses/LICENSE-2.0.
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*
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* Unless required by applicable law or agreed to in writing, software
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* distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
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* WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
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* License for the specific language governing permissions and limitations
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* under the License.
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*
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* SPDX-License-Identifier: Apache-2.0
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******************************************************************************/
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//
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// @author raver119@gmail.com
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//
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#include "testlayers.h"
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#include <ops/declarable/CustomOperations.h>
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#include <NDArray.h>
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#include <ops/ops.h>
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#include <GradCheck.h>
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#include <array>
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using namespace nd4j;
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class DeclarableOpsTests17 : public testing::Test {
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public:
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DeclarableOpsTests17() {
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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(DeclarableOpsTests17, test_sparse_to_dense_1) {
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auto values = NDArrayFactory::create<float>({1.f, 2.f, 3.f});
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auto shape = NDArrayFactory::create<Nd4jLong>({3, 3});
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auto ranges = NDArrayFactory::create<Nd4jLong>({0,0, 1,1, 2,2});
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auto def = NDArrayFactory::create<float>(0.f);
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auto exp = NDArrayFactory::create<float>('c', {3, 3}, {1.f,0.f,0.f, 0.f,2.f,0.f, 0.f,0.f,3.f});
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nd4j::ops::compat_sparse_to_dense op;
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auto result = op.evaluate({&ranges, &shape, &values, &def});
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ASSERT_EQ(Status::OK(), result->status());
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delete result;
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}
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TEST_F(DeclarableOpsTests17, test_sparse_to_dense_2) {
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auto values = NDArrayFactory::string({3}, {"alpha", "beta", "gamma"});
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auto shape = NDArrayFactory::create<Nd4jLong>({3, 3});
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auto ranges = NDArrayFactory::create<Nd4jLong>({0,0, 1,1, 2,2});
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auto def = NDArrayFactory::string("d");
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auto exp = NDArrayFactory::string( {3, 3}, {"alpha","d","d", "d","beta","d", "d","d","gamma"});
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nd4j::ops::compat_sparse_to_dense op;
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auto result = op.evaluate({&ranges, &shape, &values, &def});
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ASSERT_EQ(Status::OK(), result->status());
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delete result;
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}
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TEST_F(DeclarableOpsTests17, test_compat_string_split_1) {
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auto x = NDArrayFactory::string( {2}, {"first string", "second"});
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auto delimiter = NDArrayFactory::string(" ");
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auto exp0 = NDArrayFactory::create<Nd4jLong>({0,0, 0,1, 1,0});
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auto exp1 = NDArrayFactory::string( {3}, {"first", "string", "second"});
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nd4j::ops::compat_string_split op;
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auto result = op.evaluate({&x, &delimiter});
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ASSERT_EQ(Status::OK(), result->status());
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ASSERT_EQ(2, result->size());
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auto z0 = result->at(0);
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auto z1 = result->at(1);
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ASSERT_TRUE(exp0.isSameShape(z0));
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ASSERT_TRUE(exp1.isSameShape(z1));
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ASSERT_EQ(exp0, *z0);
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ASSERT_EQ(exp1, *z1);
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delete result;
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} |