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authorAysegul Dundar <adundar@purdue.edu>2014-10-30 18:12:59 +0300
committerAysegul Dundar <adundar@purdue.edu>2014-11-10 21:11:58 +0300
commitd057c86aaa21e11816d7d2ff6cf09dc76551bd51 (patch)
tree08c94beb9c9d13a8f9bcf2641d63477e4cbe9719 /test
parent704684a27efd82da3f4ac05cc9ecb6f44aa6d510 (diff)
Batchmode is added to SpatialConvmap
Diffstat (limited to 'test')
-rw-r--r--test/test.lua38
1 files changed, 38 insertions, 0 deletions
diff --git a/test/test.lua b/test/test.lua
index 0ae0e61..c7416ea 100644
--- a/test/test.lua
+++ b/test/test.lua
@@ -1003,6 +1003,44 @@ function nntest.SpatialConvolutionMap()
local ferr, berr = jac.testIO(module, input)
mytester:asserteq(0, ferr, torch.typename(module) .. ' - i/o forward err ')
mytester:asserteq(0, berr, torch.typename(module) .. ' - i/o backward err ')
+
+
+
+ -- batch
+
+ --verbose = true
+ local batch = math.random(2,6)
+ module = nn.SpatialConvolutionMap(nn.tables.random(from, to, fanin), ki, kj, si, sj)
+ input = torch.Tensor(batch,from,inj,ini):zero()
+
+ local err = jac.testJacobian(module, input)
+ mytester:assertlt(err, precision, 'batch error on state ')
+
+ local err = jac.testJacobianParameters(module, input, module.weight, module.gradWeight)
+ mytester:assertlt(err , precision, 'batch error on weight ')
+
+ local err = jac.testJacobianParameters(module, input, module.bias, module.gradBias)
+ mytester:assertlt(err , precision, 'batch error on bias ')
+
+ local err = jac.testJacobianUpdateParameters(module, input, module.weight)
+ mytester:assertlt(err , precision, 'batch error on weight [direct update] ')
+
+ local err = jac.testJacobianUpdateParameters(module, input, module.bias)
+ mytester:assertlt(err , precision, 'batch error on bias [direct update] ')
+
+ for t,err in pairs(jac.testAllUpdate(module, input, 'weight', 'gradWeight')) do
+ mytester:assertlt(err, precision, string.format(
+ 'error on weight [%s]', t))
+ end
+
+ for t,err in pairs(jac.testAllUpdate(module, input, 'bias', 'gradBias')) do
+ mytester:assertlt(err, precision, string.format(
+ 'batch error on bias [%s]', t))
+ end
+
+ local ferr, berr = jac.testIO(module, input)
+ mytester:asserteq(0, ferr, torch.typename(module) .. ' - i/o forward err ')
+ mytester:asserteq(0, berr, torch.typename(module) .. ' - i/o backward err ')
end