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[PTen]Refactor scale kernel that has selected_rows input #39278
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/* Copyright (c) 2021 PaddlePaddle Authors. All Rights Reserved. | ||
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Licensed under the Apache License, Version 2.0 (the "License"); | ||
you may not use this file except in compliance with the License. | ||
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 | ||
distributed under the License is distributed on an "AS IS" BASIS, | ||
WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. | ||
See the License for the specific language governing permissions and | ||
limitations under the License. */ | ||
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#include "paddle/pten/kernels/scale_kernel.h" | ||
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#include "paddle/pten/backends/cpu/cpu_context.h" | ||
#include "paddle/pten/backends/gpu/gpu_context.h" | ||
#include "paddle/pten/core/kernel_registry.h" | ||
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// See Note [ Why still include the fluid headers? ] | ||
There was a problem hiding this comment. Choose a reason for hiding this commentThe reason will be displayed to describe this comment to others. Learn more. 这行注释可以删除了 There was a problem hiding this comment. Choose a reason for hiding this commentThe reason will be displayed to describe this comment to others. Learn more. 好的,下个PR处理 |
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#include "paddle/pten/common/bfloat16.h" | ||
namespace pten { | ||
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template <typename T, typename Context> | ||
void ScaleSR(const Context& dev_ctx, | ||
There was a problem hiding this comment. Choose a reason for hiding this commentThe reason will be displayed to describe this comment to others. Learn more. 这个名字需要加Kernel后缀吗 There was a problem hiding this comment. Choose a reason for hiding this commentThe reason will be displayed to describe this comment to others. Learn more. 我想了想还是加上吧,顺便把中间层API也加上,下个PR补一下 |
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const SelectedRows& x, | ||
const Scalar& scale, | ||
float bias, | ||
bool bias_after_scale, | ||
SelectedRows* out) { | ||
if (x.value().data() != out->value().data()) { | ||
out->set_rows(x.rows()); | ||
out->set_height(x.height()); | ||
} | ||
pten::ScaleKernel<T>( | ||
dev_ctx, x.value(), scale, bias, bias_after_scale, out->mutable_value()); | ||
} | ||
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} // namespace pten | ||
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PT_REGISTER_KERNEL(scale_sr, | ||
CPU, | ||
ALL_LAYOUT, | ||
pten::ScaleSR, | ||
float, | ||
double, | ||
pten::dtype::bfloat16, | ||
uint8_t, | ||
int8_t, | ||
int16_t, | ||
int, | ||
int64_t) {} | ||
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#if defined(PADDLE_WITH_CUDA) || defined(PADDLE_WITH_HIP) | ||
PT_REGISTER_KERNEL(scale_sr, | ||
GPU, | ||
ALL_LAYOUT, | ||
pten::ScaleSR, | ||
float, | ||
double, | ||
pten::dtype::float16, | ||
uint8_t, | ||
int8_t, | ||
int16_t, | ||
int, | ||
int64_t) {} | ||
#endif |
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2022
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下个pr处理