[HIPIFY][Caffe2] Initial Caffe2 support

[ROCm/hip commit: 2619f22e5c]
This commit is contained in:
Evgeny Mankov
2019-02-23 20:46:22 +03:00
parent 992f431c99
commit 3a57fc0a4b
13 changed files with 222 additions and 3 deletions
@@ -64,6 +64,17 @@ const std::map <llvm::StringRef, hipCounter> CUDA_INCLUDE_MAP{
// cuBLAS includes
{"cusparse.h", {"hipsparse.h", "", CONV_INCLUDE_CUDA_MAIN_H, API_SPARSE}},
{"cusparse_v2.h", {"hipsparse.h", "", CONV_INCLUDE_CUDA_MAIN_H, API_SPARSE}},
// CAFFE2 includes
{"caffe2/core/common_gpu.h", {"caffe2/core/hip/common_gpu.h", "", CONV_INCLUDE, API_CAFFE2, UNSUPPORTED}},
{"caffe2/core/context_gpu.h", {"caffe2/core/hip/context_gpu.h", "", CONV_INCLUDE, API_CAFFE2, UNSUPPORTED}},
{"caffe2/operators/operator_fallback_gpu.h", {"", "", CONV_INCLUDE, API_CAFFE2, UNSUPPORTED}},
{"caffe2/operators/spatial_batch_norm_op.h", {"caffe2/operators/hip/spatial_batch_norm_op_miopen.hip", "", CONV_INCLUDE, API_CAFFE2}},
{"caffe2/operators/generate_proposals_op_util_nms_gpu.h", {"", "", CONV_INCLUDE, API_CAFFE2, UNSUPPORTED}},
{"caffe2/operators/max_pool_with_index_gpu.h", {"", "", CONV_INCLUDE, API_CAFFE2, UNSUPPORTED}},
{"caffe2/operators/rnn/recurrent_network_executor_gpu.h", {"", "", CONV_INCLUDE, API_CAFFE2, UNSUPPORTED}},
{"caffe2/utils/math/reduce.cuh", {"caffe2/utils/math/hip/reduce.cuh", "", CONV_INCLUDE, API_CAFFE2, UNSUPPORTED}},
{"caffe2/operators/gather_op.cuh", {"caffe2/operators/math/gather_op.cuh", "", CONV_INCLUDE, API_CAFFE2, UNSUPPORTED}},
{"caffe2/core/common_cudnn.h", {"caffe2/core/hip/common_miopen.h", "", CONV_INCLUDE, API_CAFFE2}},
};
const std::map<llvm::StringRef, hipCounter>& CUDA_RENAMES_MAP() {
@@ -88,5 +99,7 @@ const std::map<llvm::StringRef, hipCounter>& CUDA_RENAMES_MAP() {
ret.insert(CUDA_FFT_FUNCTION_MAP.begin(), CUDA_FFT_FUNCTION_MAP.end());
ret.insert(CUDA_SPARSE_TYPE_NAME_MAP.begin(), CUDA_SPARSE_TYPE_NAME_MAP.end());
ret.insert(CUDA_SPARSE_FUNCTION_MAP.begin(), CUDA_SPARSE_FUNCTION_MAP.end());
ret.insert(CUDA_CAFFE2_TYPE_NAME_MAP.begin(), CUDA_CAFFE2_TYPE_NAME_MAP.end());
ret.insert(CUDA_CAFFE2_FUNCTION_MAP.begin(), CUDA_CAFFE2_FUNCTION_MAP.end());
return ret;
};
+4
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@@ -61,6 +61,10 @@ extern const std::map<llvm::StringRef, hipCounter> CUDA_FFT_FUNCTION_MAP;
extern const std::map<llvm::StringRef, hipCounter> CUDA_SPARSE_TYPE_NAME_MAP;
// Maps the names of CUDA SPARSE API functions to the corresponding HIP functions
extern const std::map<llvm::StringRef, hipCounter> CUDA_SPARSE_FUNCTION_MAP;
// Maps the names of CUDA CAFFE2 API types to the corresponding HIP types
extern const std::map<llvm::StringRef, hipCounter> CUDA_CAFFE2_TYPE_NAME_MAP;
// Maps the names of CUDA CAFFE2 API functions to the corresponding HIP functions
extern const std::map<llvm::StringRef, hipCounter> CUDA_CAFFE2_FUNCTION_MAP;
/**
* The union of all the above maps, except includes.
@@ -0,0 +1,28 @@
/*
Copyright (c) 2015 - present Advanced Micro Devices, Inc. All rights reserved.
Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:
The above copyright notice and this permission notice shall be included in
all copies or substantial portions of the Software.
THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN
THE SOFTWARE.
*/
#include "CUDA2HIP.h"
// Maps the names of CUDA SPARSE API functions to the corresponding HIP functions
const std::map<llvm::StringRef, hipCounter> CUDA_CAFFE2_FUNCTION_MAP{
{"cuda_stream", {"hip_stream", "", CONV_LIB_FUNC, API_CAFFE2}},
};
@@ -0,0 +1,34 @@
/*
Copyright (c) 2015 - present Advanced Micro Devices, Inc. All rights reserved.
Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:
The above copyright notice and this permission notice shall be included in
all copies or substantial portions of the Software.
THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN
THE SOFTWARE.
*/
#include "CUDA2HIP.h"
// Map of all types
const std::map<llvm::StringRef, hipCounter> CUDA_CAFFE2_TYPE_NAME_MAP{
// 5. Defines
{"REGISTER_CUDA_OPERATOR", {"REGISTER_HIP_OPERATOR", "", CONV_DEFINE, API_CAFFE2}},
{"REGISTER_CUDA_OPERATOR_CREATOR", {"REGISTER_HIP_OPERATOR_CREATOR", "", CONV_DEFINE, API_CAFFE2}},
// 6. Classes
{"CUDAContext", {"HIPContext", "", CONV_TYPE, API_CAFFE2}},
};
@@ -22,7 +22,7 @@ THE SOFTWARE.
#include "CUDA2HIP.h"
// Maps the names of CUDA Complex API types to the corresponding HIP types
// Maps the names of CUDA Complex API functions to the corresponding HIP functions
const std::map<llvm::StringRef, hipCounter> CUDA_COMPLEX_FUNCTION_MAP{
{"cuCrealf", {"hipCrealf", "", CONV_COMPLEX, API_COMPLEX}},
{"cuCimagf", {"hipCimagf", "", CONV_COMPLEX, API_COMPLEX}},
@@ -22,7 +22,7 @@ THE SOFTWARE.
#include "CUDA2HIP.h"
// Maps the names of CUDA SPARSE API types to the corresponding HIP types
// Maps the names of CUDA SPARSE API functions to the corresponding HIP functions
const std::map<llvm::StringRef, hipCounter> CUDA_SPARSE_FUNCTION_MAP{
// 5. cuSPARSE Helper Function Reference
{"cusparseCreate", {"hipsparseCreate", "", CONV_LIB_FUNC, API_SPARSE}},
+2 -1
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@@ -73,7 +73,8 @@ const char *apiNames[NUM_API_TYPES] = {
"cuRAND API",
"cuDNN API",
"cuFFT API",
"cuSPARSE API"
"cuSPARSE API",
"CAFFE2 API"
};
namespace {
@@ -131,6 +131,7 @@ enum ApiTypes {
API_DNN,
API_FFT,
API_SPARSE,
API_CAFFE2,
API_LAST
};
constexpr int NUM_API_TYPES = (int) ApiTypes::API_LAST;
+2
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@@ -14,6 +14,8 @@ lit_config.load_config(config, site_cfg)
print("CUDA " + config.cuda_version + " will be used for testing.")
config.excludes = ['cmdparser.hpp']
config.excludes.append('spatial_batch_norm_op.h')
config.excludes.append('common_cudnn.h')
if config.cuda_version_major == 7 and config.cuda_version_minor == 0:
config.excludes.append('headers_test_09.cu')
@@ -0,0 +1,7 @@
#ifndef CAFFE2_CORE_COMMON_CUDNN_H_
#define CAFFE2_CORE_COMMON_CUDNN_H_
#include <array>
#include <mutex>
#endif // CAFFE2_CORE_COMMON_CUDNN_H_
@@ -0,0 +1,14 @@
#ifndef CAFFE2_OPERATORS_SPATIAL_BATCH_NORM_OP_H_
#define CAFFE2_OPERATORS_SPATIAL_BATCH_NORM_OP_H_
#include <algorithm>
#include <array>
#include <functional>
#include <string>
#include <vector>
namespace caffe2 {
} // namespace caffe2
#endif // CAFFE2_OPERATORS_SPATIAL_BATCH_NORM_OP_H_
@@ -0,0 +1,12 @@
// RUN: %run_test hipify "%s" "%t" %hipify_args "-roc" %clang_args
// NOTE: Nonworking code just for conversion testing
// CHECK: #include <hip/hip_runtime.h>
#include <stdio.h>
#include <stdlib.h>
#include <math.h>
// CHECK: #include "caffe2/operators/hip/spatial_batch_norm_op_miopen.hip"
#include "caffe2/operators/spatial_batch_norm_op.h"
// CHECK: #include "caffe2/core/hip/common_miopen.h"
#include "caffe2/core/common_cudnn.h"
@@ -0,0 +1,103 @@
// RUN: %run_test hipify "%s" "%t" %hipify_args "-roc" %clang_args
// NOTE: Nonworking code just for conversion testing
// CHECK: #include <hip/hip_runtime.h>
#include <stdio.h>
#include <stdlib.h>
#include <math.h>
#include <string>
namespace caffe2 {
// Operator Definition.
struct OperatorDef {
int input = 1;
int output = 2;
int name = 3;
};
class OperatorBase;
class Workspace;
template <class T>
class Observable {
public:
Observable() = default;
Observable(Observable&&) = default;
Observable& operator =(Observable&&) = default;
virtual ~Observable() = default;
};
template <class T>
class ObserverBase {
public:
explicit ObserverBase(T* subject) : subject_(subject) {}
virtual void Start() {}
virtual void Stop() {}
virtual std::string debugInfo() {
return "Not implemented.";
}
virtual ~ObserverBase() noexcept {};
T* subject() const {
return subject_;
}
protected:
T* subject_;
};
typedef ObserverBase<OperatorBase> OperatorObserver;
class OperatorBase : public Observable<OperatorBase> {
public:
explicit OperatorBase(const OperatorDef& operator_def, Workspace* ws);
virtual ~OperatorBase() noexcept {}
};
template <class Context>
class Operator : public OperatorBase {
public:
explicit Operator(const OperatorDef& operator_def, Workspace* ws)
: OperatorBase(operator_def, ws), context_(operator_def.device_option()) {
context_.SwitchToDevice();
}
~Operator() noexcept override {}
};
template <class Context>
class DummyEmptyOp : public Operator<Context> {
public:
DummyEmptyOp(const OperatorDef& def, Workspace* ws)
: Operator<Context>(def, ws) {}
bool RunOnDevice() final { return true; }
};
class CUDAContext {
public:
CUDAContext();
virtual ~CUDAContext() noexcept {}
};
#define REGISTER_CUDA_OPERATOR(name, ...) \
void CAFFE2_PLEASE_ADD_OPERATOR_SCHEMA_FOR_##name(); \
static void CAFFE_ANONYMOUS_VARIABLE_CUDA##name() { \
CAFFE2_PLEASE_ADD_OPERATOR_SCHEMA_FOR_##name(); \
}
#define REGISTER_CUDA_OPERATOR_CREATOR(key, ...)
// CHECK: REGISTER_HIP_OPERATOR(Operator, DummyEmptyOp<HIPContext>);
REGISTER_CUDA_OPERATOR(Operator, DummyEmptyOp<CUDAContext>);
// CHECK: REGISTER_HIP_OPERATOR_CREATOR(Operator, DummyEmptyOp<HIPContext>);
REGISTER_CUDA_OPERATOR_CREATOR(Operator, DummyEmptyOp<CUDAContext>);
}