As GpuArray don't implement += and +, we pass by another interface.

Add missing include in the new gpuaelemwise op.

It was causing compilation crash in the DLT mlp

In RepeatOp, fix detection of numpy-supported dtypes

GpuShape

c_code() for GpuCAReduce (in gpuarray)

Add tests for DownsampleFactorMaxGradGrad

Added second derivative to max downsampling function

- call verify_grad on DownsampleFactorMaxGrad
- call hessian on DownsampleFactorMax

This is not pretty code, but it is working code.

Gpua elemwise

Gh 1122

Fix tests crash in DebugMode recently introduced.

Now we keep the original error message type and just add more information to it.

Make a tests more robust to different seed

code cleanup

It miss dimensions collapsing and maybe better support of scalar.

The error is due to rounding difference. The test that fail randomly is theano/sandbox/cuda/tests/test_conv_cuda_ndarray.py:TestConv2DGPU.test_logical_shapes.

Normally, we should set atol depending of the input shape, but the current structure don't allow this, so I use the output shape. So this could happen with other tests if the output shape is smaller.