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submodule
ngraph
Commits
144d790b
Commit
144d790b
authored
Feb 09, 2018
by
fenglei.tian
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add cuda kernel
parent
e63322d9
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3 changed files
with
262 additions
and
74 deletions
+262
-74
gpu_cuda_kernel_emitters.cpp
src/ngraph/runtime/gpu/gpu_cuda_kernel_emitters.cpp
+108
-0
gpu_cuda_kernel_emitters.hpp
src/ngraph/runtime/gpu/gpu_cuda_kernel_emitters.hpp
+79
-0
gpu_emitter.cpp
src/ngraph/runtime/gpu/gpu_emitter.cpp
+75
-74
No files found.
src/ngraph/runtime/gpu/gpu_cuda_kernel_emitters.cpp
0 → 100644
View file @
144d790b
// ----------------------------------------------------------------------------
// Copyright 2017 Nervana Systems Inc.
// 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
// ----------------------------------------------------------------------------
#include <algorithm>
#include <map>
#include "ngraph/runtime/gpu/gpu_kernel_emitters.hpp"
namespace
ngraph
{
namespace
runtime
{
namespace
gpu
{
namespace
cuda
{
namespace
kernel
{
void
emit_abs
(
float
*
in
,
float
*
out
,
size_t
count
)
{
}
void
emit_broadcast
(
codegen
::
CodeWriter
&
writer
,
const
std
::
string
&
element_type
,
const
std
::
string
&
arg0
,
// replacement context
const
std
::
string
&
out
,
const
Shape
&
arg0_shape
,
const
Shape
&
out_shape
,
const
AxisSet
&
broadcast_axes
)
{
}
//
// For the reference kernel this is gpud on, see ngraph/runtime/kernel/concat.hpp.
//
void
emit_concat
(
codegen
::
CodeWriter
&
writer
,
const
std
::
string
&
element_type
,
const
std
::
vector
<
std
::
string
>&
args
,
const
std
::
string
&
out
,
const
std
::
vector
<
Shape
>&
in_shapes
,
const
Shape
&
out_shape
,
size_t
concatenation_axis
)
{
}
void
emit_replace_slice
(
codegen
::
CodeWriter
&
writer
,
const
std
::
string
&
element_type
,
const
std
::
string
&
arg0
,
// replacement context
const
std
::
string
&
arg1
,
// replacement value
const
std
::
string
&
out
,
const
Shape
&
arg1_shape
,
const
Shape
&
out_shape
,
const
Coordinate
&
lower_bounds
,
const
Coordinate
&
upper_bounds
,
const
Strides
&
strides
)
{
}
void
emit_slice
(
codegen
::
CodeWriter
&
writer
,
const
std
::
string
&
element_type
,
const
std
::
string
&
arg0
,
// replacement context
const
std
::
string
&
out
,
const
Shape
&
arg0_shape
,
const
Shape
&
out_shape
,
const
Coordinate
&
lower_bounds
,
const
Coordinate
&
upper_bounds
,
const
Strides
&
strides
)
{
}
void
emit_reshape
(
codegen
::
CodeWriter
&
writer
,
const
std
::
string
&
element_type
,
const
std
::
string
&
arg0
,
// replacement context
const
std
::
string
&
out
,
const
Shape
&
arg0_shape
,
const
Shape
&
out_shape
,
const
AxisVector
&
arg0_axis_order
)
{
}
void
emit_sum
(
codegen
::
CodeWriter
&
writer
,
const
std
::
string
&
element_type
,
const
std
::
string
&
arg0
,
// replacement context
const
std
::
string
&
out
,
const
Shape
&
arg0_shape
,
const
Shape
&
out_shape
,
const
AxisSet
&
reduction_axes
)
{
}
}
}
}
}
}
src/ngraph/runtime/gpu/gpu_cuda_kernel_emitters.hpp
0 → 100644
View file @
144d790b
// ----------------------------------------------------------------------------
// Copyright 2017 Nervana Systems Inc.
// 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
// ----------------------------------------------------------------------------
#pragma once
#include "ngraph/codegen/code_writer.hpp"
#include "ngraph/common.hpp"
namespace
ngraph
{
namespace
runtime
{
namespace
gpu
{
namespace
kernel
{
void
emit_broadcast
(
codegen
::
CodeWriter
&
writer
,
const
std
::
string
&
element_type
,
const
std
::
string
&
arg0
,
// replacement context
const
std
::
string
&
out
,
const
Shape
&
arg0_shape
,
const
Shape
&
out_shape
,
const
AxisSet
&
broadcast_axes
);
void
emit_concat
(
codegen
::
CodeWriter
&
writer
,
const
std
::
string
&
element_type
,
const
std
::
vector
<
std
::
string
>&
args
,
const
std
::
string
&
out
,
const
std
::
vector
<
Shape
>&
in_shapes
,
const
Shape
&
out_shape
,
const
size_t
concatenation_axis
);
void
emit_replace_slice
(
codegen
::
CodeWriter
&
writer
,
const
std
::
string
&
element_type
,
const
std
::
string
&
arg0
,
// replacement context
const
std
::
string
&
arg1
,
// replacement value
const
std
::
string
&
out
,
const
Shape
&
arg1_shape
,
const
Shape
&
out_shape
,
const
Coordinate
&
lower_bounds
,
const
Coordinate
&
upper_bounds
,
const
Strides
&
strides
);
void
emit_slice
(
codegen
::
CodeWriter
&
writer
,
const
std
::
string
&
element_type
,
const
std
::
string
&
arg0
,
// replacement context
const
std
::
string
&
out
,
const
Shape
&
arg0_shape
,
const
Shape
&
out_shape
,
const
Coordinate
&
lower_bounds
,
const
Coordinate
&
upper_bounds
,
const
Strides
&
strides
);
void
emit_reshape
(
codegen
::
CodeWriter
&
writer
,
const
std
::
string
&
element_type
,
const
std
::
string
&
arg0
,
// replacement context
const
std
::
string
&
out
,
const
Shape
&
arg0_shape
,
const
Shape
&
out_shape
,
const
AxisVector
&
arg0_axis_order
);
void
emit_sum
(
codegen
::
CodeWriter
&
writer
,
const
std
::
string
&
element_type
,
const
std
::
string
&
arg0
,
// replacement context
const
std
::
string
&
out
,
const
Shape
&
arg0_shape
,
const
Shape
&
out_shape
,
const
AxisSet
&
reduction_axes
);
}
}
}
}
src/ngraph/runtime/gpu/gpu_emitter.cpp
View file @
144d790b
...
...
@@ -52,24 +52,24 @@ using namespace ngraph;
#define NVRTC_SAFE_CALL(x) \
do
{
\
nvrtcResult
result
=
x
;
\
if
(
result
!=
NVRTC_SUCCESS
)
{
\
std
::
cerr
<<
"
\n
error: "
#
x
" failed with error "
\
<<
nvrtcGetErrorString
(
result
)
<<
'\n'
;
\
nvrtcResult
result
=
x
;
\
if
(
result
!=
NVRTC_SUCCESS
)
{
\
std
::
cerr
<<
"
\n
error: "
#
x
" failed with error "
\
<<
nvrtcGetErrorString
(
result
)
<<
'\n'
;
\
exit
(
1
);
\
}
\
}
while
(
0
)
}
\
}
while
(
0
)
#define CUDA_SAFE_CALL(x) \
do
{
\
CUresult
result
=
x
;
\
if
(
result
!=
CUDA_SUCCESS
)
{
\
const
char
*
msg
;
\
cuGetErrorName
(
result
,
&
msg
);
\
std
::
cerr
<<
"
\n
error: "
#
x
" failed with error "
\
<<
msg
<<
'\n'
;
\
exit
(
1
);
\
}
\
CUresult
result
=
x
;
\
if
(
result
!=
CUDA_SUCCESS
)
{
\
const
char
*
msg
;
\
cuGetErrorName
(
result
,
&
msg
);
\
std
::
cerr
<<
"
\n
error: "
#
x
" failed with error "
\
<<
msg
<<
'\n'
;
\
exit
(
1
);
\
}
\
}
while
(
0
)
...
...
@@ -96,59 +96,59 @@ void runtime::gpu::GPU_Emitter::EmitAbs(codegen::CodeWriter& writer,
}
})"
;
size_t
numBlocks
=
4
;
size_t
numThreads
=
4
;
// Create an instance of nvrtcProgram with the code string.
size_t
numBlocks
=
4
;
size_t
numThreads
=
4
;
// Create an instance of nvrtcProgram with the code string.
nvrtcProgram
prog
;
NVRTC_SAFE_CALL
(
nvrtcCreateProgram
(
&
prog
,
// prog i
nvrtcProgram
prog
;
NVRTC_SAFE_CALL
(
nvrtcCreateProgram
(
&
prog
,
// prog i
op_abs
,
// buffer
"op_abs.cu"
,
// name
0
,
// numHeaders
NULL
,
// headers
NULL
));
// includeNames
0
,
// numHeaders
NULL
,
// headers
NULL
));
// includeNames
const
char
*
opts
[]
=
{
"--gpu-architecture=compute_35"
,
const
char
*
opts
[]
=
{
"--gpu-architecture=compute_35"
,
"--relocatable-device-code=true"
};
nvrtcResult
compileResult
=
nvrtcCompileProgram
(
prog
,
// prog
nvrtcResult
compileResult
=
nvrtcCompileProgram
(
prog
,
// prog
2
,
// numOptions
opts
);
// options
// Obtain compilation log from the program.
// Obtain compilation log from the program.
size_t
logSize
;
size_t
logSize
;
NVRTC_SAFE_CALL
(
nvrtcGetProgramLogSize
(
prog
,
&
logSize
));
char
*
log
=
new
char
[
logSize
];
NVRTC_SAFE_CALL
(
nvrtcGetProgramLog
(
prog
,
log
));
std
::
cout
<<
log
<<
'\n'
;
delete
[]
log
;
NVRTC_SAFE_CALL
(
nvrtcGetProgramLogSize
(
prog
,
&
logSize
));
char
*
log
=
new
char
[
logSize
];
NVRTC_SAFE_CALL
(
nvrtcGetProgramLog
(
prog
,
log
));
std
::
cout
<<
log
<<
'\n'
;
delete
[]
log
;
if
(
compileResult
!=
NVRTC_SUCCESS
)
{
if
(
compileResult
!=
NVRTC_SUCCESS
)
{
exit
(
1
);
}
size_t
ptxSize
;
size_t
ptxSize
;
NVRTC_SAFE_CALL
(
nvrtcGetPTXSize
(
prog
,
&
ptxSize
));
char
*
ptx
=
new
char
[
ptxSize
];
char
*
ptx
=
new
char
[
ptxSize
];
NVRTC_SAFE_CALL
(
nvrtcGetPTX
(
prog
,
ptx
));
// Destroy the program.
NVRTC_SAFE_CALL
(
nvrtcDestroyProgram
(
&
prog
));
// Load the generated PTX and get a handle to the parent kernel.
CUdevice
cuDevice
;
CUcontext
context
;
CUmodule
module
;
CUfunction
cuda_op_abs_kernel
;
CUDA_SAFE_CALL
(
cuInit
(
0
));
CUdevice
cuDevice
;
CUcontext
context
;
CUmodule
module
;
CUfunction
cuda_op_abs_kernel
;
CUDA_SAFE_CALL
(
cuInit
(
0
));
CUDA_SAFE_CALL
(
cuDeviceGet
(
&
cuDevice
,
0
));
CUDA_SAFE_CALL
(
cuCtxCreate
(
&
context
,
0
,
cuDevice
));
// CUDA_SAFE_CALL(cuLinkCreate(0, 0 , 0, &linkState));
// CUDA_SAFE_CALL(cuLinkCreate(0, 0 , 0, &linkState));
//CUDA_SAFE_CALL(cuLinkeAddFile(linkState, CU_JIT_INPUT_LIBRARY, ' ', 0, 0, 0));
//CUDA_SAFE_CALL(cuLinkAddData(linkState, CU_JIT_INPUT_PTX, (void *)ptx, ptxSize, "dynamic_parallelism.ptx", 0, 0, 0));
//CUDA_SAFE_CALL(cuLinkAddData(linkState, CU_JIT_INPUT_PTX, (void *)ptx, ptxSize, "dynamic_parallelism.ptx", 0, 0, 0));
//size_t cubinSize;
//void *cubin;
//CUDA_SAFE_CALL(cuLinkComplete(linkState, &cubin, &cubinSize));
CUDA_SAFE_CALL
(
cuModuleLoadDataEx
(
&
module
,
ptx
,
0
,
0
,
0
));
CUDA_SAFE_CALL
(
cuModuleGetFunction
(
&
cuda_op_abs_kernel
,
module
,
"cuda_op_abs"
));
//size_t cubinSize;
//void *cubin;
//CUDA_SAFE_CALL(cuLinkComplete(linkState, &cubin, &cubinSize));
CUDA_SAFE_CALL
(
cuModuleLoadDataEx
(
&
module
,
ptx
,
0
,
0
,
0
));
CUDA_SAFE_CALL
(
cuModuleGetFunction
(
&
cuda_op_abs_kernel
,
module
,
"cuda_op_abs"
));
writer
<<
"{ // "
<<
n
->
get_name
()
<<
"
\n
"
;
...
...
@@ -157,32 +157,33 @@ CUDA_SAFE_CALL(cuModuleGetFunction(&cuda_op_abs_kernel, module, "cuda_op_abs"));
writer
<<
"if(count == 0) return;
\n
"
;
writer
<<
"void *argsList[] = {(void *)"
<<
args
[
0
].
get_name
()
<<
", (void *)"
<<
out
[
0
].
get_name
()
<<
", &count};
\n
"
;
writer
<<
"//cuLaunchKernel(cuda_op_abs_kernel, count, 1, 1, 1, 1, 1, 0, NULL, argsList, 0);
\n
"
;
writer
.
indent
--
;
writer
<<
"}
\n
"
;
// Generate input for execution, and create output buffers.
//size_t nt = numBlocks * numThreads;
//size_t bufferSize = nt * sizeof(float);
//float *hOut = new float[nt];
//float *hIn = new float[nt];
//for(int i = 0; i< nt; i++) hIn[i] = -i;
//
//CUdeviceptr dOut, dIn;
//cuMemAlloc(&dOut, bufferSize); // Execute parent kernel.
//cuMemAlloc(&dIn, bufferSize); // Execute parent kernel.
//cuMemcpyHtoD(dIn, hIn, bufferSize);
//
//void *argst[] = {&dIn, &dOut, &nt};
// CUDA_SAFE_CALL(
// cuLaunchKernel(kernel,
// numBlocks , 1, 1, // grid dim
// numThreads, 1, 1, // block dim
// 0, NULL, // shared mem and stream
// argst, 0)); // arguments
//CUDA_SAFE_CALL(cuCtxSynchronize()); // Retrieve and print output.
//cuMemcpyDtoH(hOut, dOut, bufferSize);
//for (size_t i = 0; i < nt; ++i) { std::cout << hOut[i] << '\n'; } // Release resources.
//cuMemFree(dOut);
//cuModuleUnload(module);
// Generate input for execution, and create output buffers.
//size_t nt = numBlocks * numThreads;
//size_t bufferSize = nt * sizeof(float);
//float *hOut = new float[nt];
//float *hIn = new float[nt];
//for(int i = 0; i< nt; i++) hIn[i] = -i;
//
//CUdeviceptr dOut, dIn;
//cuMemAlloc(&dOut, bufferSize); // Execute parent kernel.
//cuMemAlloc(&dIn, bufferSize); // Execute parent kernel.
//cuMemcpyHtoD(dIn, hIn, bufferSize);
//
//void *argst[] = {&dIn, &dOut, &nt};
// CUDA_SAFE_CALL(
// cuLaunchKernel(kernel,
// numBlocks , 1, 1, // grid dim
// numThreads, 1, 1, // block dim
// 0, NULL, // shared mem and stream
// argst, 0)); // arguments
//CUDA_SAFE_CALL(cuCtxSynchronize()); // Retrieve and print output.
//cuMemcpyDtoH(hOut, dOut, bufferSize);
//for (size_t i = 0; i < nt; ++i) { std::cout << hOut[i] << '\n'; } // Release resources.
//cuMemFree(dOut);
//cuModuleUnload(module);
}
void
runtime
::
gpu
::
GPU_Emitter
::
EmitAdd
(
codegen
::
CodeWriter
&
writer
,
...
...
@@ -242,7 +243,7 @@ void runtime::gpu::GPU_Emitter::EmitDot(codegen::CodeWriter& writer,
const
vector
<
runtime
::
gpu
::
GPU_TensorViewWrapper
>&
out
)
{
writer
<<
" // "
<<
n
->
get_name
()
<<
"
\n
return;
\n
"
;
/*
/*
const Shape& arg0_shape = args[0].get_shape();
const Shape& arg1_shape = args[1].get_shape();
if (arg0_shape.empty() || arg1_shape.empty())
...
...
@@ -342,11 +343,11 @@ void runtime::gpu::GPU_Emitter::EmitDot(codegen::CodeWriter& writer,
// clang-format on
writer.indent--;
writer << "}\n";
}
else
{
}
else
{
// General ND Call?
}
}
*/
}
...
...
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