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Merged develop from [PaddlePaddle#40935] Bug fix for intermediate sup…
…port in Yaml
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| // Copyright (c) 2022 PaddlePaddle Authors. All Rights Reserved. | ||
| // | ||
| // 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 | ||
| // | ||
| // http://www.apache.org/licenses/LICENSE-2.0 | ||
| // | ||
| // 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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| #pragma once | ||
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| #include "paddle/fluid/eager/api/generated/fluid_generated/dygraph_forward_api.h" | ||
| #include "paddle/fluid/framework/convert_utils.h" | ||
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| namespace egr { | ||
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| static inline bool NeedCast(const paddle::experimental::Tensor& tensor, | ||
| const paddle::experimental::DataType& dst_dtype) { | ||
| auto place = tensor.inner_place(); | ||
| auto data_type = tensor.dtype(); | ||
| if (paddle::platform::is_gpu_place(place) || | ||
| paddle::platform::is_cuda_pinned_place(place) || | ||
| paddle::platform::is_xpu_place(place) || | ||
| paddle::platform::is_mlu_place(place) || | ||
| paddle::platform::is_npu_place(place) || | ||
| paddle::platform::is_npu_pinned_place(place)) { | ||
| // CudaPinndePlace is added for varbase created by dataloader | ||
| if ((data_type == paddle::experimental::DataType::FLOAT32 || | ||
| data_type == paddle::experimental::DataType::FLOAT16 || | ||
| data_type == paddle::experimental::DataType::BFLOAT16) && | ||
| (data_type != dst_dtype)) { | ||
| return true; | ||
| } | ||
| } | ||
| return false; | ||
| } | ||
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| inline std::vector<paddle::experimental::Tensor> AmpAutoCasts( | ||
| const std::string& inputs_name, | ||
| const std::vector<paddle::experimental::Tensor>& inputs, | ||
| const paddle::experimental::DataType& dst_dtype, std::string op_name) { | ||
| VLOG(6) << "AMP AmpAutoCasts:" | ||
| << " inputs(" << inputs_name << ") dst_dtype(" | ||
| << paddle::framework::DataType2String(dst_dtype) << ")."; | ||
| std::vector<paddle::experimental::Tensor> inputs_casted; | ||
| for (auto& input : inputs) { | ||
| if (NeedCast(input, dst_dtype)) { | ||
| paddle::framework::AttributeMap cast_attrs = { | ||
| {"in_dtype", paddle::framework::TransToProtoVarType(input.dtype())}, | ||
| {"out_dtype", paddle::framework::TransToProtoVarType(dst_dtype)}}; | ||
| inputs_casted.emplace_back( | ||
| std::move(cast_dygraph_function(input, cast_attrs))); | ||
| } else { | ||
| inputs_casted.emplace_back(input); | ||
| } | ||
| } | ||
| return inputs_casted; | ||
| } | ||
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| inline paddle::experimental::Tensor AmpAutoCast( | ||
| const std::string& input_name, const paddle::experimental::Tensor& input, | ||
| const paddle::experimental::DataType& dst_dtype, std::string op_name) { | ||
| VLOG(6) << "AMP AmpAutoCasts:" | ||
| << " input(" << input_name << ") dst_dtype(" | ||
| << paddle::framework::DataType2String(dst_dtype) << ")."; | ||
| if (dst_dtype == paddle::experimental::DataType::FLOAT16) { | ||
| if (op_name == "run_program") { | ||
| return input; | ||
| } | ||
| if ((op_name == "batch_norm" || op_name == "layer_norm" || | ||
| op_name == "sync_batch_norm") && | ||
| input_name != "X") { | ||
| return input; | ||
| } | ||
| if ((op_name == "fused_attention" || op_name == "fused_feedforward")) { | ||
| if (input_name == "LnScale" || input_name == "LnBias" || | ||
| input_name == "Ln2Scale" || input_name == "Ln2Bias" || | ||
| input_name == "Ln1Scale" || input_name == "Ln1Bias") { | ||
| return input; | ||
| } | ||
| } | ||
| } | ||
| if (NeedCast(input, dst_dtype)) { | ||
| paddle::framework::AttributeMap cast_attrs = { | ||
| {"in_dtype", paddle::framework::TransToProtoVarType(input.dtype())}, | ||
| {"out_dtype", paddle::framework::TransToProtoVarType(dst_dtype)}}; | ||
| return cast_dygraph_function(input, cast_attrs); | ||
| } | ||
| return input; | ||
| } | ||
|
|
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| } // namespace egr |
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