diff options
Diffstat (limited to 'test')
| -rw-r--r-- | test/test.lua | 38 | ||||
| -rw-r--r-- | test/test_groups.lua | 2 |
2 files changed, 14 insertions, 26 deletions
diff --git a/test/test.lua b/test/test.lua index aa8ea7f..a4f9bcb 100644 --- a/test/test.lua +++ b/test/test.lua @@ -25,7 +25,7 @@ local testparams_float = { } -- TODO: find out why the errors are so huge -local testparams_double_err = { +local testparams_double = { test_type = 'torch.CudaDoubleTensor', precision_forward = 1e+2, precision_backward = 1e+3, -- 1e+4, @@ -33,14 +33,6 @@ local testparams_double_err = { precision_io = 1e-5, } -local testparams_double = { - test_type = 'torch.CudaDoubleTensor', - precision_forward = 1e-4, - precision_backward = 2e-2, - precision_jac = 1e-3, - precision_io = 1e-5, -} - local testparams = testparams_half local function cast(input) @@ -185,11 +177,8 @@ function cudnntest.SpatialConvolution_forward_single() cutorch.synchronize() mytester:asserteq(rescuda:dim(), 3, 'error in dimension') local error = rescuda:float() - groundtruth:float() - if cudnn.verbose and error:abs():max() > tonumber(testparams.precision_forward) then - print('\n==== rescuda:float():\n', rescuda:float(), '\n==== groundtruth:float():\n', groundtruth:float()) - end mytester:assertlt(error:abs():max(), testparams.precision_forward, - 'error on state (forward)') + 'error on state (forward) ') -- IO local ferr,berr = jac.testIO(gconv, cast(input)) @@ -1054,7 +1043,7 @@ function cudnntest.SpatialCrossMapLRN_batch() local size = math.random(1,3)*2+1 local nbfeatures = math.random(3,8) local alpha = math.random(1,100)/100 - local beta = math.random(1,100)/100 + local beta = math.random(0,100)/100 local k = math.random(1,3) local tm = {} @@ -1519,8 +1508,8 @@ mytester = torch.Tester() mytester:add(cudnntest) if torch.random(1,2) == 1 then - cudnn.benchmark = true -- run manual auto-tuner - cudnn.verbose = true + cudnn.benchmark = true -- run manual auto-tuner +-- cudnn.verbose = true end @@ -1530,21 +1519,20 @@ for i=1,cutorch.getDeviceCount() do print('Running test on device: #' .. i .. ' : ' .. prop.name) cutorch.setDevice(i) --- double tensor may be broken --- print'Testing torch.CudaDoubleTensor' --- torch.setdefaulttensortype('torch.DoubleTensor') --- testparams = testparams_double --- mytester:run() + + print'Testing torch.CudaHalfTensor' + testparams = testparams_half + mytester:run() print'Testing torch.CudaTensor' testparams = testparams_float mytester:run() +-- double tensor may be broken at some places, gets NaNs. +-- print'Testing torch.CudaDoubleTensor' +-- testparams = testparams_double +-- mytester:run() --- half tensor is broken on Pascal - print'Testing torch.CudaHalfTensor: note there may be errors on 6.x (Pascal) cards' - testparams = testparams_half - mytester:run() end os.execute('rm -f modelTemp.t7') diff --git a/test/test_groups.lua b/test/test_groups.lua index 1675fdd..8b386b9 100644 --- a/test/test_groups.lua +++ b/test/test_groups.lua @@ -34,6 +34,6 @@ ccn2_gradWeight = ccn2_conv.gradWeight:t() assert((cudnn_output - ccn2_output):abs():max() < 1e-4) assert((cudnn_gradInput - ccn2_gradInput):abs():max() < 1e-4) -assert((cudnn_gradWeight - ccn2_gradWeight):abs():max() < 1e-1) +assert((cudnn_gradWeight - ccn2_gradWeight):abs():max() < 5e-2) print 'no assertions' |