diff options
Diffstat (limited to 'test/test-all.lua')
| -rw-r--r-- | test/test-all.lua | 12 |
1 files changed, 10 insertions, 2 deletions
diff --git a/test/test-all.lua b/test/test-all.lua index edc69aa..80ed910 100644 --- a/test/test-all.lua +++ b/test/test-all.lua @@ -547,7 +547,7 @@ function nnxtest.CTCCriterion() }):transpose(1, 2):contiguous() local targets = {{1},{3,3},{2,3}} local sizes = torch.Tensor({1,3,3}) - mytester:eq(criterion:updateOutput(acts, targets, sizes), 13.904030799866, precision, "CTCCriterion.batchTest") + mytester:eq(criterion:updateOutput(acts, targets, sizes), 13.904030799866 / 3, precision, "CTCCriterion.batchTest") local gradOutputNorm = criterion:updateGradInput(acts, targets, sizes) criterion = nn.CTCCriterion(true) -- batchFirst true, input is batch x seqLength x inputDim local batchFirstActs = @@ -556,9 +556,17 @@ function nnxtest.CTCCriterion() {{1,2,3,4,5},{6,7,8,9,10},{11,12,13,14,15}}, {{-5,-4,-3,-2,-1},{-10,-9,-8,-7,-6},{-15,-14,-13,-12,-11}} }) - mytester:eq(criterion:updateOutput(batchFirstActs, targets, sizes), 13.904030799866, precision, "CTCCriterion.batchFirstTest") + mytester:eq(criterion:updateOutput(batchFirstActs, targets, sizes), 13.904030799866 / 3, precision, "CTCCriterion.batchFirstTest") local gradOutputBatchFirst = criterion:updateGradInput(acts, targets, sizes) mytester:assertTensorEq(gradOutputBatchFirst:transpose(1, 2), gradOutputNorm, precision, "CTCCriterion.gradCheckTest") + torch.Tensor({ + {0,0,0,0,0},{1,2,3,4,5},{-5,-4,-3,-2,-1}, + {0,0,0,0,0},{6,7,8,9,10},{-10,-9,-8,-7,-6}, + {0,0,0,0,0},{11,12,13,14,15},{-15,-14,-13,-12,-11}, + }) + mytester:eq(criterion:updateOutput(batchFirstActs, targets, sizes), 13.904030799866 / 3, precision, "CTCCriterion.batchFirstTest") + local gradOutputBatchFirst = criterion:updateGradInput(acts, targets, sizes) + mytester:assertTensorEq(gradOutputBatchFirst:transpose(1, 2), gradOutputNorm, precision, "CTCCriterion.2DTensorTest") end local function blur(mean, stdv, size) |