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// Copyright (c) 2020 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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#include "paddle/fluid/imperative/amp_auto_cast.h" | ||
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#include <algorithm> | ||
#include <memory> | ||
#include <set> | ||
#include <string> | ||
#include <unordered_set> | ||
#include <utility> | ||
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#include "paddle/fluid/imperative/layer.h" | ||
#include "paddle/fluid/imperative/tracer.h" | ||
#include "paddle/fluid/imperative/variable_wrapper.h" | ||
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namespace paddle { | ||
namespace imperative { | ||
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AmpOperators::AmpOperators() | ||
: allow_ops_(new std::unordered_set<std::string>()), | ||
block_ops_(new std::unordered_set<std::string>()) {} | ||
AmpOperators::~AmpOperators() {} | ||
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AmpOperators& AmpOperators::Instance() { | ||
static AmpOperators instance; | ||
return instance; | ||
} | ||
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std::shared_ptr<std::unordered_set<std::string>> AmpOperators::GetAllowOps() { | ||
return allow_ops_; | ||
} | ||
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std::shared_ptr<std::unordered_set<std::string>> AmpOperators::GetBlockOps() { | ||
return block_ops_; | ||
} | ||
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inline std::string GetDtypeStr( | ||
const std::shared_ptr<imperative::VarBase>& var) { | ||
return framework::DataTypeToString(var->DataType()); | ||
} | ||
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inline bool NeedCast(const std::shared_ptr<VarBase>& var) { | ||
if (!platform::is_gpu_place(var->Place())) { | ||
return false; | ||
} | ||
if (var->DataType() == framework::proto::VarType::FP32 || | ||
var->DataType() == framework::proto::VarType::FP16) { | ||
return true; | ||
} else { | ||
return false; | ||
} | ||
} | ||
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// NOTE: Trace a cast op, so if a var is casted from fp32 to fp16, then the grad | ||
// var will be cast back from fp16 to fp32 during backward phase. | ||
static inline std::shared_ptr<imperative::VarBase> CastToType( | ||
const std::shared_ptr<VarBase>& var, | ||
const framework::proto::VarType::Type dst_type) { | ||
const auto& tracer = imperative::GetCurrentTracer(); | ||
imperative::NameVarBaseMap ins = {{"X", {var}}}; | ||
framework::AttributeMap attrs = {{"in_dtype", var->DataType()}, | ||
{"out_dtype", dst_type}}; | ||
auto out = std::shared_ptr<imperative::VarBase>( | ||
new imperative::VarBase(tracer->GenerateUniqueName())); | ||
imperative::NameVarBaseMap outs = {{"Out", {out}}}; | ||
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{ | ||
AutoCastGuard guard(tracer, false); | ||
tracer->TraceOp("cast", ins, outs, std::move(attrs)); | ||
} | ||
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return out; | ||
} | ||
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static inline std::shared_ptr<imperative::VarBase> CastToFP16( | ||
const std::shared_ptr<VarBase>& var) { | ||
auto dst_type = framework::proto::VarType::FP16; | ||
if (NeedCast(var) && (var->DataType() != dst_type)) { | ||
return CastToType(var, dst_type); | ||
} | ||
return var; | ||
} | ||
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static inline std::shared_ptr<imperative::VarBase> CastToFP32( | ||
const std::shared_ptr<VarBase>& var) { | ||
auto dst_type = framework::proto::VarType::FP32; | ||
if (NeedCast(var) && (var->DataType() != dst_type)) { | ||
return CastToType(var, dst_type); | ||
} | ||
return var; | ||
} | ||
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static inline framework::proto::VarType::Type GetPromoteType( | ||
const NameVarBaseMap& ins) { | ||
auto dst_type = framework::proto::VarType::FP16; | ||
for (const auto& pair : ins) { | ||
for (const auto& var : pair.second) { | ||
if (var->DataType() == framework::proto::VarType::FP32) { | ||
dst_type = var->DataType(); | ||
break; | ||
} | ||
} | ||
} | ||
return dst_type; | ||
} | ||
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NameVarBaseMap AutoCastInputs(const std::string& op_type, | ||
const NameVarBaseMap& ins) { | ||
NameVarBaseMap new_ins = {}; | ||
if (AmpOperators::Instance().GetAllowOps()->count(op_type)) { | ||
for (const auto& pair : ins) { | ||
VLOG(5) << "Op(" << op_type << "): Cast " << pair.first << " from " | ||
<< GetDtypeStr(*pair.second.cbegin()) << " to float16"; | ||
for (const auto& var : pair.second) { | ||
auto new_var = CastToFP16(var); | ||
new_ins[pair.first].emplace_back(new_var); | ||
} | ||
} | ||
return new_ins; | ||
} else if (AmpOperators::Instance().GetBlockOps()->count(op_type)) { | ||
for (const auto& pair : ins) { | ||
VLOG(5) << "Op(" << op_type << "): Cast " << pair.first << " from " | ||
<< GetDtypeStr(*pair.second.cbegin()) << " to float"; | ||
for (const auto& var : pair.second) { | ||
auto new_var = CastToFP32(var); | ||
new_ins[pair.first].emplace_back(new_var); | ||
} | ||
} | ||
return new_ins; | ||
} else { | ||
auto dst_type = GetPromoteType(ins); | ||
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for (const auto& pair : ins) { | ||
VLOG(5) << "Op(" << op_type << "): Cast " << pair.first << " from " | ||
<< GetDtypeStr(*pair.second.cbegin()) << " to " | ||
<< framework::DataTypeToString(dst_type); | ||
for (const auto& var : pair.second) { | ||
// NOTE(zhiqiu): Conv + BN always occur together, we needn't | ||
// cast X of batch_norm to FP32, which is produced by conv as FP16 type. | ||
if (op_type == "batch_norm" && pair.first == "X" && | ||
dst_type == framework::proto::VarType::FP32) { | ||
new_ins[pair.first].emplace_back(var); | ||
continue; | ||
} | ||
auto new_var = dst_type == framework::proto::VarType::FP32 | ||
? CastToFP32(var) | ||
: CastToFP16(var); | ||
new_ins[pair.first].emplace_back(new_var); | ||
} | ||
} | ||
return new_ins; | ||
} | ||
return ins; | ||
} | ||
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} // namespace imperative | ||
} // namespace paddle |
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