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90 lines
3.2 KiB
90 lines
3.2 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 <thrust/device_vector.h>
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#include <thrust/host_vector.h>
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#include "paddle/fluid/operators/sequence_ops/sequence_enumerate_op.h"
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#include "paddle/fluid/platform/cuda_primitives.h"
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namespace paddle {
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namespace operators {
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using platform::PADDLE_CUDA_NUM_THREADS;
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using LoDTensor = framework::LoDTensor;
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template <typename T>
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__global__ void CalcOutPut(const T* in_data, const size_t* in_lod,
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const size_t lod_len, const int64_t win_size,
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const int64_t pad_value, T* out_data) {
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int index = blockIdx.x * blockDim.x + threadIdx.x;
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if (index < in_lod[lod_len - 1]) {
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int end_idx = 0;
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// Get LoD interval of index
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for (int i = 1; i < lod_len; ++i) {
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if (index < in_lod[i]) {
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end_idx = in_lod[i];
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break;
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}
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}
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for (size_t i = 0; i < win_size; ++i) {
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int word_pos = index + i;
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out_data[index * win_size + i] =
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word_pos < end_idx ? in_data[word_pos] : pad_value;
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}
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}
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}
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template <typename T>
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class SequenceEnumerateOpCUDAKernel : 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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int pad_value = context.Attr<int>("pad_value");
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auto in_dims = in->dims();
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auto in_lod = in->lod();
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PADDLE_ENFORCE_EQ(
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static_cast<uint64_t>(in_dims[0]), in_lod[0].back(),
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platform::errors::InvalidArgument(
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"The actual input data's size mismatched with LoD information."
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"Received input data size is %d (actual) vs %d (loD information).",
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static_cast<uint64_t>(in_dims[0]), in_lod[0].back()));
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/* Generate enumerate sequence set */
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auto stream = context.cuda_device_context().stream();
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auto lod0 = in_lod[0];
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auto in_len = in->numel();
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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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auto out_data = out->mutable_data<T>(context.GetPlace());
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// Copy LoD to GPU
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const size_t* dev_in_lod_ptr = lod0.CUDAData(context.GetPlace());
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// Calc output tensor
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CalcOutPut<<<(in_len - 1) / PADDLE_CUDA_NUM_THREADS + 1,
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PADDLE_CUDA_NUM_THREADS, 0, stream>>>(
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in_data, dev_in_lod_ptr, lod0.size(), win_size, pad_value, out_data);
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out->set_lod(in->lod());
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}
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};
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} // namespace operators
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} // namespace paddle
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REGISTER_OP_CUDA_KERNEL(
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sequence_enumerate,
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paddle::operators::SequenceEnumerateOpCUDAKernel<int32_t>,
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paddle::operators::SequenceEnumerateOpCUDAKernel<int64_t>);
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