chore: import upstream snapshot with attribution
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// 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/check_memory_continue_kernel.h"
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#include <sstream>
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#include <vector>
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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/backends/device_memory_alignment.h"
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namespace phi {
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template <typename T, typename Context>
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void CheckMemoryContinueKernel(const Context &dev_ctx,
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const std::vector<const DenseTensor *> &input,
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DenseTensor *output,
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std::vector<DenseTensor *> xout UNUSED) {
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int64_t size_of_dtype = sizeof(T);
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auto dtype = input.at(0)->dtype();
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int64_t numel = 0;
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// check address
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for (size_t i = 1; i < input.size(); ++i) {
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PADDLE_ENFORCE_EQ(
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dtype,
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input.at(i)->dtype(),
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errors::InvalidArgument(
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"The DataType of input tensors of fake_coalesce should be "
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"consistent, current dtype is: %s, but the previous dtype is %s",
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dtype,
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input.at(i)->dtype()));
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const void *cur_address = input.at(i - 1)->data();
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int64_t len = input.at(i - 1)->numel();
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auto offset = phi::Alignment(len * size_of_dtype, dev_ctx.GetPlace());
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uintptr_t ptr = reinterpret_cast<uintptr_t>(cur_address) + offset;
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void *infer_next_address = reinterpret_cast<void *>(ptr);
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const void *next_address = input.at(i)->data();
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numel += offset;
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VLOG(10) << ::paddle::string::Sprintf(
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"Input[%d] address: 0X%02x, Input[%d] address: 0X%02x, Infer "
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"input[%d] address: 0X%02x, offset: %d.",
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i - 1,
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cur_address,
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i,
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next_address,
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i,
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infer_next_address,
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offset);
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PADDLE_ENFORCE_EQ(
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infer_next_address,
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next_address,
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errors::InvalidArgument(
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"The inferred address of the next tensor should be equal to the "
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"real address of the next tensor. But got inferred address is %p "
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"and real address is %p.",
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infer_next_address,
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next_address));
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}
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numel += phi::Alignment((*input.rbegin())->numel() * size_of_dtype,
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dev_ctx.GetPlace());
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// reset holder, do inplace
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output->ShareBufferWith(*input.at(0));
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output->Resize({numel / size_of_dtype});
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VLOG(4) << "addr:" << output->data<T>();
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}
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} // namespace phi
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PD_REGISTER_KERNEL(check_memory_continue,
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CPU,
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ALL_LAYOUT,
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phi::CheckMemoryContinueKernel,
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int,
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float,
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double) {}
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#if defined(PADDLE_WITH_CUDA) || defined(PADDLE_WITH_HIP)
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PD_REGISTER_KERNEL(check_memory_continue,
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GPU,
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ALL_LAYOUT,
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phi::CheckMemoryContinueKernel,
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phi::float16,
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int,
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float,
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double) {}
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#endif
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