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94 lines
3.3 KiB
94 lines
3.3 KiB
// Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserved.
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//
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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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//
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// http://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,
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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 "paddle/fluid/operators/sequence_ops/sequence_enumerate_op.h"
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namespace paddle {
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namespace operators {
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class SequenceEnumerateOp : public framework::OperatorWithKernel {
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public:
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using framework::OperatorWithKernel::OperatorWithKernel;
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void InferShape(framework::InferShapeContext* ctx) const override {
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PADDLE_ENFORCE(
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ctx->HasInput("X"),
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"Input(X) of SequecceEnumerate operator should not be null.");
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PADDLE_ENFORCE(
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ctx->HasOutput("Out"),
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"Output(X) of SequenceEnumerate operator should not be null.");
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const auto x_dims = ctx->GetInputDim("X");
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const auto win_size = ctx->Attrs().Get<int>("win_size");
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ctx->SetOutputDim("Out", {x_dims[0], win_size});
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ctx->ShareLoD("X", "Out");
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}
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};
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class SequenceEnumerateOpMaker : public framework::OpProtoAndCheckerMaker {
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public:
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void Make() override {
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AddInput("X",
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"(2-D LoDTensor with the 2nd dimension equal to 1) "
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"Input LoDTensor of SequenceEnumerate operator.");
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AddOutput("Out",
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"(2-D LoDTensor with the 2nd dimension equal to win_size) "
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"Output LoDTensor of SequenceEnumerate operator.");
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AddAttr<int>("win_size", "(int) The enumerate sequence window size.")
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.AddCustomChecker([](const int& win_size) {
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PADDLE_ENFORCE(win_size >= 2,
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"The window size should be not less than 2.");
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});
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AddAttr<int>("pad_value", "(int) The enumerate sequence padding value.")
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.SetDefault(0);
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AddAttr<bool>(framework::kAllKernelsMustComputeRuntimeShape,
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"Skip calling InferShape() function in the runtime.")
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.SetDefault(true);
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AddComment(R"DOC(
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Sequence Enumerate Operator.
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Generate a new sequence for the input index sequence, which enumerates all the
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sub-sequences with length `win_size` of the input.
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The enumerated sequence has the same 1st dimension with variable `input`, and
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the 2nd dimension is `win_size`, padded by `pad_value` if necessary in generation.
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Examples:
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Case 1:
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Input:
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X.lod = [[0, 3, 5]]
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X.data = [[1], [2], [3], [4], [5]]
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X.dims = [5, 1]
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Attrs:
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win_size = 2
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pad_value = 0
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Output:
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Out.lod = [[0, 3, 5]]
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Out.data = [[1, 2], [2, 3], [3, 0], [4, 5], [5, 0]]
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Out.dims = [5, 2]
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)DOC");
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}
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};
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} // namespace operators
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} // namespace paddle
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namespace ops = paddle::operators;
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REGISTER_OP_WITHOUT_GRADIENT(sequence_enumerate, ops::SequenceEnumerateOp,
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ops::SequenceEnumerateOpMaker);
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REGISTER_OP_CPU_KERNEL(
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sequence_enumerate,
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ops::SequenceEnumerateKernel<paddle::platform::CPUDeviceContext, int32_t>,
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ops::SequenceEnumerateKernel<paddle::platform::CPUDeviceContext, int64_t>);
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