wehub-resource-sync
78 lines
2.7 KiB
C++
78 lines
2.7 KiB
C++
/* Copyright (c) 2023 PaddlePaddle Authors. All Rights Reserved.
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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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#pragma once
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#include "paddle/phi/kernels/funcs/sequence_pooling.h"
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namespace phi {
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template <typename T, typename Context>
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void SequencePoolKernel(const Context& dev_ctx,
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const DenseTensor& x,
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bool is_test,
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const std::string& pooltype,
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float pad_value,
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DenseTensor* out,
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DenseTensor* max_index) {
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T pad_value_ = static_cast<T>(pad_value);
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auto dims = x.dims();
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auto lod = x.lod();
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auto lod_level = lod.size();
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// InferShape by lod
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PADDLE_ENFORCE_GT(
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lod_level,
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0,
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errors::InvalidArgument("Input(X) DenseTensor of SequencePoolOp "
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"does not contain LoD information."));
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PADDLE_ENFORCE_LE(
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lod_level,
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2UL,
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errors::InvalidArgument("The lod level of input shall be no more than 2."
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"Received lod level is %d.",
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lod_level));
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PADDLE_ENFORCE_GE(
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dims[0],
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/*batch size = */ static_cast<int64_t>(lod[lod_level - 1].size() - 1),
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errors::InvalidArgument(
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"The first dimension of Input(X) must be large than batch size. "
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"But received first dimension of Input(X) is %d, while batch "
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"size is %d.",
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dims[0],
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static_cast<int64_t>(lod[lod_level - 1].size() - 1)));
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if (lod_level > 1UL) {
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PADDLE_ENFORCE_EQ(
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lod[0][lod[0].size() - 1],
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lod[1].size() - 1,
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errors::InvalidArgument("The input lod information is illegal."));
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LegacyLoD out_lod;
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out_lod.push_back(lod[0]);
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out->set_lod(out_lod);
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}
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dims[0] = lod[lod_level - 1].size() - 1;
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out->Resize({dims});
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dev_ctx.template Alloc<T>(out);
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DenseTensor* index = nullptr;
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// Do not create index buffer for inference mode
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if (pooltype == "MAX" &&
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(is_test == false || (dev_ctx.GetPlace() == CPUPlace()) == false)) {
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index = max_index;
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index->Resize({dims});
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dev_ctx.template Alloc<int32_t>(index);
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}
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funcs::SequencePoolFunctor<Context, T> pool;
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pool(dev_ctx, pooltype, pad_value_, x, out, is_test, index);
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}
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} // namespace phi
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