wehub-resource-sync
52 lines
1.8 KiB
C++
52 lines
1.8 KiB
C++
// Copyright (c) 2022 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/phi/kernels/share_buffer_kernel.h"
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#include "glog/logging.h"
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#include "paddle/phi/core/kernel_registry.h"
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#include "paddle/phi/core/visit_type.h"
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namespace phi {
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template <typename Context>
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void ShareBufferKernel(const Context &dev_ctx UNUSED,
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const std::vector<const DenseTensor *> &x,
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const std::vector<bool> &share_dims_and_dtype UNUSED,
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std::vector<DenseTensor *> out,
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std::vector<DenseTensor *> xout UNUSED) {
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PADDLE_ENFORCE_EQ(
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x.size(),
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out.size(),
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common::errors::PermissionDenied(
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"The input(X) and Output(out) should have the same size, but got "
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"size of Input(X) is %d and size of Output(out) is %d.",
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x.size(),
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out.size()));
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for (size_t i = 0; i < x.size(); ++i) {
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if (x[i] == nullptr || out[i] == nullptr) {
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continue;
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}
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out[i]->ShareBufferWith(*x[i]);
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VLOG(10) << "Share tensor buffer ";
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}
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}
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} // namespace phi
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PD_REGISTER_KERNEL_FOR_ALL_BACKEND_DTYPE(share_buffer,
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ALL_LAYOUT,
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phi::ShareBufferKernel) {}
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