Fixed tester.

1 files changed, 0 insertions, 87 deletions

diff --git a/test/test-all.lua b/test/test-all.lua
index 148e860..f7e591a 100644
--- a/test/test-all.lua
+++ b/test/test-all.lua
@@ -301,93 +301,6 @@ function nnxtest.SpatialConvolution()
    mytester:asserteq(berr, 0, torch.typename(module) .. ' - i/o backward err ')
 end
 
-function nnxtest.SpatialConvolutionSparse_1()
-   local from = math.random(1,10)
-   local to = math.random(1,10)
-   local ini = math.random(10,20)
-   local inj = math.random(10,20)
-   local ki = math.random(1,10)
-   local kj = math.random(1,10)
-   local si = math.random(1,1)
-   local sj = math.random(1,1)
-
-   local ct = nn.tables.full(from,to)
-   local module = nn.SpatialConvolutionSparse(ct, ki, kj, si, sj)
-   local input = torch.Tensor(from, inj, ini):zero()
-   module:reset()
-
-   local err = nn.Jacobian.testJacobian(module, input)
-   mytester:assertlt(err, precision, 'error on state ')
-
-   local err = nn.Jacobian.testJacobianParameters(module, input, module.weight, module.gradWeight)
-   mytester:assertlt(err, precision, 'error on weight ')
-
-   local err = nn.Jacobian.testJacobianParameters(module, input, module.bias, module.gradBias)
-   mytester:assertlt(err, precision, 'error on bias ')
-
-   local ferr, berr = nn.Jacobian.testIO(module, input)
-   mytester:asserteq(ferr, 0, torch.typename(module) .. ' - i/o forward err ')
-   mytester:asserteq(berr, 0, torch.typename(module) .. ' - i/o backward err ')
-end
-
-function nnxtest.SpatialConvolutionSparse_2()
-   local from = math.random(1,10)
-   local to = math.random(1,10)
-   local ini = math.random(10,20)
-   local inj = math.random(10,20)
-   local ki = math.random(1,10)
-   local kj = math.random(1,10)
-   local si = math.random(1,1)
-   local sj = math.random(1,1)
-
-   local ct = nn.tables.oneToOne(from)
-   local module = nn.SpatialConvolutionSparse(ct, ki, kj, si, sj)
-   local input = torch.Tensor(from, inj, ini):zero()
-   module:reset()
-
-   local err = nn.Jacobian.testJacobian(module, input)
-   mytester:assertlt(err, precision, 'error on state ')
-
-   local err = nn.Jacobian.testJacobianParameters(module, input, module.weight, module.gradWeight)
-   mytester:assertlt(err, precision, 'error on weight ')
-
-   local err = nn.Jacobian.testJacobianParameters(module, input, module.bias, module.gradBias)
-   mytester:assertlt(err, precision, 'error on bias ')
-
-   local ferr, berr = nn.Jacobian.testIO(module, input)
-   mytester:asserteq(ferr, 0, torch.typename(module) .. ' - i/o forward err ')
-   mytester:asserteq(berr, 0, torch.typename(module) .. ' - i/o backward err ')
-end
-
-function nnxtest.SpatialConvolutionSparse_3()
-   local from = math.random(2,6)
-   local to = math.random(4,8)
-   local ini = math.random(10,20)
-   local inj = math.random(10,20)
-   local ki = math.random(1,10)
-   local kj = math.random(1,10)
-   local si = math.random(1,1)
-   local sj = math.random(1,1)
-
-   local ct = nn.tables.random(from,to,from-1)
-   local module = nn.SpatialConvolutionSparse(ct, ki, kj, si, sj)
-   local input = torch.Tensor(from, inj, ini):zero()
-   module:reset()
-
-   local err = nn.Jacobian.testJacobian(module, input)
-   mytester:assertlt(err, precision, 'error on state ')
-
-   local err = nn.Jacobian.testJacobianParameters(module, input, module.weight, module.gradWeight)
-   mytester:assertlt(err, precision, 'error on weight ')
-
-   local err = nn.Jacobian.testJacobianParameters(module, input, module.bias, module.gradBias)
-   mytester:assertlt(err, precision, 'error on bias ')
-
-   local ferr, berr = nn.Jacobian.testIO(module, input)
-   mytester:asserteq(ferr, 0, torch.typename(module) .. ' - i/o forward err ')
-   mytester:asserteq(berr, 0, torch.typename(module) .. ' - i/o backward err ')
-end
-
 function nnxtest.SpatialNormalization_Gaussian2D()
    local inputSize = math.random(11,20)
    local kersize = 9