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78 lines
2.7 KiB
78 lines
2.7 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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#pragma once
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#include "paddle/fluid/framework/op_registry.h"
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namespace paddle {
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namespace operators {
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using LoDTensor = framework::LoDTensor;
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template <typename DeviceContext, typename T>
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class SequenceEnumerateKernel : public framework::OpKernel<T> {
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public:
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void Compute(const framework::ExecutionContext& context) const override {
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auto* in = context.Input<LoDTensor>("X");
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auto* out = context.Output<LoDTensor>("Out");
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int win_size = context.Attr<int>("win_size");
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auto pad_value = static_cast<T>(context.Attr<int>("pad_value"));
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auto in_dims = in->dims();
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auto lod0 = in->lod()[0];
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PADDLE_ENFORCE_EQ(
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static_cast<uint64_t>(in_dims[0]), lod0.back(),
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"The actual input data's size mismatched with LoD information.");
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PADDLE_ENFORCE_EQ(
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in_dims.size(), 2UL,
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"Input(X) of SequenceEnumerate operator's rank should be 2.");
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PADDLE_ENFORCE_EQ(in_dims[1], 1,
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"Input(X) of SequenceEnumerate operator's 2nd "
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"dimension should be 1.");
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// Generate enumerate sequence set
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auto in_data = in->data<T>();
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out->Resize({in_dims[0], win_size});
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out->set_lod(in->lod());
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auto out_data = out->mutable_data<T>(context.GetPlace());
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for (size_t i = 0; i < lod0.size() - 1; ++i) {
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if (lod0[i] == lod0[i + 1]) continue;
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int start = lod0[i];
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int end = lod0[i + 1];
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int copy_size = win_size < end - start + 1 ? win_size : end - start + 1;
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int mid = end + 1 - copy_size;
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int pad_num = win_size - copy_size;
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copy_size *= sizeof(T);
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for (int idx = start; idx < mid; ++idx) {
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std::memcpy(out_data, in_data + idx, copy_size);
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out_data += win_size;
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}
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for (int idx = mid; idx < end; ++idx) {
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copy_size -= sizeof(T);
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pad_num++;
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std::memcpy(out_data, in_data + idx, copy_size);
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T* pdata = out_data + copy_size / sizeof(T);
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for (int i = 0; i < pad_num; ++i) {
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pdata[i] = pad_value;
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}
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out_data += win_size;
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}
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}
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}
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};
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} // namespace operators
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} // namespace paddle
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