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require 'cudnn'
require 'torch'
function bench(title, nInputC, nOutputC, kH, kW, sH, sW, iH, iW, nBatch, ...)
local m1 = cudnn.SpatialConvolution(nInputC,nOutputC,kW,kH, sW, sH):setMode(...):fastest():cuda()
local i1 = torch.zeros(nBatch, nInputC, iH, iW):cuda()
local o1 = m1:forward(i1)
local t1 = torch.Timer()
local o1 = m1:forward(i1)
cutorch.synchronize()
print(title .. ': ', nInputC, nOutputC, kH, kW, iH, iW, nBatch, t1:time().real)
end
batchSize = 29
from = 14
to = 13
kW = 9
kH = 15
sW = 1
sH = 1
outW = 10
outH = 34
iW = (outW-1)*sW+kW
iH = (outH-1)*sH+kH
print('CUDNN Version: ', tonumber(cudnn.C.cudnnGetVersion()))
bench('Forward implicit gemm ', from, to, kH, kW, sH, sW, iH, iW, batchSize,
'CUDNN_CONVOLUTION_FWD_ALGO_IMPLICIT_GEMM',
'CUDNN_CONVOLUTION_BWD_DATA_ALGO_0',
'CUDNN_CONVOLUTION_BWD_FILTER_ALGO_0')
bench('Forward implicit precomp gemm', from, to, kH, kW, sH, sW, iH, iW, batchSize,
'CUDNN_CONVOLUTION_FWD_ALGO_IMPLICIT_PRECOMP_GEMM',
'CUDNN_CONVOLUTION_BWD_DATA_ALGO_0',
'CUDNN_CONVOLUTION_BWD_FILTER_ALGO_0')
bench('Forward gemm ', from, to, kH, kW, sH, sW, iH, iW, batchSize,
'CUDNN_CONVOLUTION_FWD_ALGO_GEMM',
'CUDNN_CONVOLUTION_BWD_DATA_ALGO_0',
'CUDNN_CONVOLUTION_BWD_FILTER_ALGO_0')
-- just auto-tuned by cudnn with CUDNN_CONVOLUTION_FWD_PREFER_FASTEST mode
bench('Forward AutoTuned ', from, to, kH, kW, sH, sW, iH, iW, batchSize)
bench('Forward FFT ', from, to, kH, kW, sH, sW, iH, iW, batchSize,
'CUDNN_CONVOLUTION_FWD_ALGO_FFT',
'CUDNN_CONVOLUTION_BWD_DATA_ALGO_0',
'CUDNN_CONVOLUTION_BWD_FILTER_ALGO_0')
-- For reference, CuDNN Convolution modes
--[[
CUDNN_CONVOLUTION_FWD_ALGO_IMPLICIT_GEMM = 0,
CUDNN_CONVOLUTION_FWD_ALGO_IMPLICIT_PRECOMP_GEMM = 1,
CUDNN_CONVOLUTION_FWD_ALGO_GEMM = 2,
CUDNN_CONVOLUTION_FWD_ALGO_DIRECT = 3, // Placeholder
CUDNN_CONVOLUTION_FWD_ALGO_FFT = 4
CUDNN_CONVOLUTION_BWD_FILTER_ALGO_0 = 0, // non-deterministic
CUDNN_CONVOLUTION_BWD_FILTER_ALGO_1 = 1,
CUDNN_CONVOLUTION_BWD_FILTER_ALGO_FFT = 2
CUDNN_CONVOLUTION_BWD_DATA_ALGO_0 = 0, // non-deterministic
CUDNN_CONVOLUTION_BWD_DATA_ALGO_1 = 1,
CUDNN_CONVOLUTION_BWD_DATA_ALGO_FFT = 2,
]]--
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