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author | nicholas-leonard <nick@nikopia.org> | 2014-07-09 21:48:33 +0400 |
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committer | nicholas-leonard <nick@nikopia.org> | 2014-07-09 21:48:33 +0400 |
commit | 02b7e7205db5359f1df63f7bee3439a320e004bf (patch) | |
tree | 2c732327fcbdba8e7e072f0ac036699a2cb12b22 /test | |
parent | 157004f72ff7fa9f9c7216ca6b0b766476b4696c (diff) |
ElementTable unit tests
Diffstat (limited to 'test')
-rw-r--r-- | test/test.lua | 43 |
1 files changed, 43 insertions, 0 deletions
diff --git a/test/test.lua b/test/test.lua index c88c908..0c9a43c 100644 --- a/test/test.lua +++ b/test/test.lua @@ -1869,6 +1869,49 @@ function nntest.SplitTable() end end +function nntest.ElementTable() + local input = { + torch.rand(3,4,5), torch.rand(3,4,5), + {torch.rand(3,4,5)}, + {torch.rand(3,4,5), {torch.rand(3,4,5)}} + } + local gradOutputs = { + torch.rand(3,4,5), torch.rand(3,4,5), + {torch.rand(3,4,5)}, + {torch.rand(3,4,5), {torch.rand(3,4,5)}} + } + local zeros = { + torch.Tensor(3,4,5):zero(), torch.Tensor(3,4,5):zero(), + {torch.Tensor(3,4,5):zero()}, + {torch.Tensor(3,4,5):zero(), {torch.Tensor(3,4,5):zero()}} + } + local function equal(t1, t2, msg) + if (torch.type(t1) == "table") then + for k, v in pairs(t2) do + equal(t1[k], t2[k]) + end + else + mytester:assertTensorEq(t1, t2, 0.00001, msg) + end + end + local nonIdx = {2,3,4,1} + local module + for idx = 1,#input do + module = nn.ElementTable(idx) + local output = module:forward(input) + equal(output, input[idx], "output dimension " .. idx) + local gradInput = module:backward(input, gradOutputs[idx]) + equal(gradInput[idx], gradOutputs[idx], "gradInput[idx] dimension " .. idx) + equal(gradInput[nonIdx[idx]], zeros[nonIdx[idx]], "gradInput[nonIdx] dimension " .. idx) + end + module:float() + local idx = #input + local output = module:forward(input) + equal(output, input[idx], "type output") + local gradInput = module:backward(input, gradOutputs[idx]) + equal(gradInput[idx], gradOutputs[idx], "gradInput[idx] dimension " .. idx) + equal(gradInput[nonIdx[idx]], zeros[nonIdx[idx]], "gradInput[nonIdx] dimension " .. idx) +end function nntest.View() local input = torch.rand(10) |