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openblas-conv.lua
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require 'nn'
local ffi = require 'ffi'
local virtmm = ffi.load('libopenblas-conv.so')
ffi.cdef [[
void THNN_DoubleSpatialConvolutionMM_updateOutput(
THNNState *state,
THDoubleTensor *input,
THDoubleTensor *output,
THDoubleTensor *weight,
THDoubleTensor *bias,
THDoubleTensor *finput,
THDoubleTensor *fgradInput,
int kW, int kH,
int dW, int dH,
int padW, int padH);
void THNN_DoubleSpatialConvolutionMM_updateGradInput(
THNNState *state,
THDoubleTensor *input,
THDoubleTensor *gradOutput,
THDoubleTensor *gradInput,
THDoubleTensor *weight,
THDoubleTensor *bias,
THDoubleTensor *finput,
THDoubleTensor *fgradInput,
int kW, int kH,
int dW, int dH,
int padW, int padH);
void THNN_DoubleSpatialConvolutionMM_accGradParameters(
THNNState *state,
THDoubleTensor *input,
THDoubleTensor *gradOutput,
THDoubleTensor *gradWeight,
THDoubleTensor *gradBias,
THDoubleTensor *finput,
THDoubleTensor *fgradInput,
int kW, int kH,
int dW, int dH,
int padW, int padH,
double scale);
void THNN_FloatSpatialConvolutionMM_updateOutput(
THNNState *state,
THFloatTensor *input,
THFloatTensor *output,
THFloatTensor *weight,
THFloatTensor *bias,
THFloatTensor *finput,
THFloatTensor *fgradInput,
int kW, int kH,
int dW, int dH,
int padW, int padH);
void THNN_FloatSpatialConvolutionMM_updateGradInput(
THNNState *state,
THFloatTensor *input,
THFloatTensor *gradOutput,
THFloatTensor *gradInput,
THFloatTensor *weight,
THFloatTensor *bias,
THFloatTensor *finput,
THFloatTensor *fgradInput,
int kW, int kH,
int dW, int dH,
int padW, int padH);
void THNN_FloatSpatialConvolutionMM_accGradParameters(
THNNState *state,
THFloatTensor *input,
THFloatTensor *gradOutput,
THFloatTensor *gradWeight,
THFloatTensor *gradBias,
THFloatTensor *finput,
THFloatTensor *fgradInput,
int kW, int kH,
int dW, int dH,
int padW, int padH,
float scale);
]]
local saved = {}
saved.f1 = torch.getmetatable('torch.FloatTensor').THNN.SpatialConvolutionMM_updateOutput
saved.f2 = torch.getmetatable('torch.FloatTensor').THNN.SpatialConvolutionMM_updateGradInput
saved.f3 = torch.getmetatable('torch.FloatTensor').THNN.SpatialConvolutionMM_updateGradParameters
saved.d1 = torch.getmetatable('torch.DoubleTensor').THNN.SpatialConvolutionMM_updateOutput
saved.d2 = torch.getmetatable('torch.DoubleTensor').THNN.SpatialConvolutionMM_updateGradInput
saved.d3 = torch.getmetatable('torch.DoubleTensor').THNN.SpatialConvolutionMM_updateGradParameters
function openblasconv(enable, partial)
if enable then
torch.getmetatable('torch.FloatTensor').THNN.SpatialConvolutionMM_updateOutput =
function(...) virtmm.THNN_FloatSpatialConvolutionMM_updateOutput(nil, ...) end
if partial then
torch.getmetatable('torch.FloatTensor').THNN.SpatialConvolutionMM_updateGradInput = saved.f2
else
torch.getmetatable('torch.FloatTensor').THNN.SpatialConvolutionMM_updateGradInput =
function(...) virtmm.THNN_FloatSpatialConvolutionMM_updateGradInput(nil, ...) end
end
torch.getmetatable('torch.FloatTensor').THNN.SpatialConvolutionMM_updateGradParameters =
function(...) virtmm.THNN_FloatSpatialConvolutionMM_updateGradParameters(nil, ...) end
torch.getmetatable('torch.DoubleTensor').THNN.SpatialConvolutionMM_updateOutput =
function(...) virtmm.THNN_DoubleSpatialConvolutionMM_updateOutput(nil, ...) end
if partial then
torch.getmetatable('torch.DoubleTensor').THNN.SpatialConvolutionMM_updateGradInput = saved.d2
else
torch.getmetatable('torch.DoubleTensor').THNN.SpatialConvolutionMM_updateGradInput =
function(...) virtmm.THNN_DoubleSpatialConvolutionMM_updateGradInput(nil, ...) end
end
torch.getmetatable('torch.DoubleTensor').THNN.SpatialConvolutionMM_updateGradParameters =
function(...) virtmm.THNN_DoubleSpatialConvolutionMM_updateGradParamaters(nil, ...) end
else
torch.getmetatable('torch.FloatTensor').THNN.SpatialConvolutionMM_updateOutput = saved.f1
torch.getmetatable('torch.FloatTensor').THNN.SpatialConvolutionMM_updateGradInput = saved.f2
torch.getmetatable('torch.FloatTensor').THNN.SpatialConvolutionMM_updateGradParameters = saved.f3
torch.getmetatable('torch.DoubleTensor').THNN.SpatialConvolutionMM_updateOutput = saved.d1
torch.getmetatable('torch.DoubleTensor').THNN.SpatialConvolutionMM_updateGradInput = saved.d2
torch.getmetatable('torch.DoubleTensor').THNN.SpatialConvolutionMM_updateGradParameters = saved.d3
end
end
openblasconv(true)