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70 lines
2.3 KiB
70 lines
2.3 KiB
8 years ago
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/* Copyright (c) 2016 PaddlePaddle Authors. All Rights Reserve.
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Licensed under the Apache License, Version 2.0 (the "License");
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you may not use this file except in compliance with the License.
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You may obtain a copy of the License at
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http://www.apache.org/licenses/LICENSE-2.0
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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,
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WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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See the License for the specific language governing permissions and
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limitations under the License. */
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#include <gtest/gtest.h>
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#include "FunctionTest.h"
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namespace paddle {
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void testRowConvFw(size_t batchSize, size_t dim, size_t contextLength) {
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FunctionCompare test("RowConv", FuncConfig());
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test.addSequence(SequenceIdArg(TensorShape{batchSize}));
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test.addInputs(SequenceArg(VALUE_TYPE_FLOAT, TensorShape{batchSize, dim}));
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test.addInputs(BufferArg(VALUE_TYPE_FLOAT, TensorShape{contextLength, dim}));
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test.addOutputs(SequenceArg(VALUE_TYPE_FLOAT, TensorShape{batchSize, dim}),
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ADD_TO);
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test.run();
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}
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void testRowConvBw(size_t batchSize, size_t dim, size_t contextLength) {
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FunctionCompare test("RowConvGrad", FuncConfig());
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test.addSequence(SequenceIdArg(TensorShape{batchSize}));
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test.addInputs(SequenceArg(VALUE_TYPE_FLOAT, TensorShape{batchSize, dim}));
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test.addInputs(SequenceArg(VALUE_TYPE_FLOAT, TensorShape{batchSize, dim}));
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test.addInputs(BufferArg(VALUE_TYPE_FLOAT, TensorShape{contextLength, dim}));
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test.addOutputs(SequenceArg(VALUE_TYPE_FLOAT, TensorShape{batchSize, dim}),
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ADD_TO);
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test.addOutputs(BufferArg(VALUE_TYPE_FLOAT, TensorShape{contextLength, dim}),
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ADD_TO);
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test.run();
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}
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TEST(RowConv, real) {
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// for (size_t numSamples : {17, 129}) {
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// for (size_t dim : {16, 248}) {
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// for (size_t context: {3, 7, 65}) {
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LOG(INFO) << "===========";
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// for (size_t numSamples : {17}) {
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// for (size_t dim : {16}) {
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// for (size_t context: {3}) {
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size_t numSamples = 17;
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size_t dim = 16;
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size_t context = 3;
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LOG(INFO) << " numSamples=" << numSamples << " dim=" << dim
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<< " context length=" << context;
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testRowConvFw(numSamples, dim, context);
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// testRowConvBw(numSamples, dim, context);
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// }
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// }
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// }
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}
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} // namespace paddle
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