On Fri, Oct 7, 2016 at 11:31 AM, Pascal Lamblin <lambl...@iro.umontreal.ca> wrote:
> On Fri, Oct 07, 2016, luca.wagner.0...@gmail.com wrote: > > Hi Fred, > > I did a test using: > > > > theano.tensor.nnet.conv3d2d import conv3d > > That's the old conv3d2d code, that should not be needed with cuDNN, and > that has some pieces that do not work in float16. > These are not the problems we should try to solve, we should focus on > what happens when using dnn_conv3d instead. > not dnn_conv3d, but the new conv interface: theano.tensor.nnet.conv3d(). Use that one, with float=float15 and device=cuda. > > > > > this PR: https://github.com/Theano/Theano/pull/4862 > > > > [global] > > floatX = float16 > > device=cuda > > [cuda] > > root = /usr/local/cuda-7.5 > > > > [nvcc] > > fastmath=True > > > > optimizer = fast_compile > > > > [dnn.conv] > > algo_fwd = time_once > > algo_bwd_filter = time_once > > algo_bwd_data = time_once > > > > The output is much slower then using float32: > > > > Python 2.7.12 |Anaconda custom (64-bit)| (default, Jul 2 2016, 17:42:40) > > [GCC 4.4.7 20120313 (Red Hat 4.4.7-1)] on linux2 > > Type "help", "copyright", "credits" or "license" for more information. > > Anaconda is brought to you by Continuum Analytics. > > Please check out: http://continuum.io/thanks and https://anaconda.org > > >>> > > runfile('/home/luca/data/DeepLearningTutorials/Theano-3D- > ConvNet-master/convnet3d/core/run_multi_conv_t.py', > > wdir='/home/luca/data/DeepLearningTutorials/Theano-3D- > ConvNet-master/convnet3d/core') > > Mapped name None to device cuda: GeForce 840M > > WARNING (theano.gof.compilelock): Overriding existing lock by dead > process > > '3119' (I am process '3598') > > Using cuDNN version 5103 on context None > > /home/luca/data/Theano-master/theano/tensor/signal/downsample.py:6: > > UserWarning: downsample module has been moved to the > > theano.tensor.signal.pool module. > > "downsample module has been moved to the theano.tensor.signal.pool > > module.") > > Disabling C code for Elemwise{mul,no_inplace} due to unsupported float16 > > Disabling C code for Elemwise{Cast{float32}} due to unsupported float16 > > Disabling C code for Elemwise{Cast{float16}} due to unsupported float16 > > Disabling C code for Elemwise{Cast{float16}} due to unsupported float16 > > Disabling C code for Alloc due to unsupported float16 > > ERROR (theano.gof.opt): SeqOptimizer apply <theano.gpuarray.opt.GraphToGP > U > > object at 0x7f3944076110> > > ERROR (theano.gof.opt): Traceback: > > ERROR (theano.gof.opt): Traceback (most recent call last): > > File "/home/luca/data/Theano-master/theano/gof/opt.py", line 235, in > apply > > sub_prof = optimizer.optimize(fgraph) > > File "/home/luca/data/Theano-master/theano/gof/opt.py", line 90, in > > optimize > > ret = self.apply(fgraph, *args, **kwargs) > > File "/home/luca/data/Theano-master/theano/gpuarray/opt.py", line > 355, in > > apply > > node.outputs) > > File "/home/luca/data/Theano-master/theano/gpuarray/dnn.py", line > 1874, > > in local_gpua_pool_dnn_alternative > > img, ws, stride, pad = inputs > > ValueError: need more than 1 value to unpack > > > > ERROR (theano.gof.opt): Optimization failure due to: > > local_gpua_pool_dnn_grad_stride > > ERROR (theano.gof.opt): node: MaxPoolGrad{ds=(3, 3), ignore_border=True, > > st=(3, 3), padding=(0, 0), mode='max'}(sigmoid.0, Pool{ds=(3, 3), > > ignore_border=True, st=(3, 3), padding=(0, 0), mode='max'}.0, > Reshape{4}.0) > > ERROR (theano.gof.opt): TRACEBACK: > > ERROR (theano.gof.opt): Traceback (most recent call last): > > File "/home/luca/data/Theano-master/theano/gof/opt.py", line 1820, in > > process_node > > replacements = lopt.transform(node) > > File "/home/luca/data/Theano-master/theano/gpuarray/opt.py", line > 203, in > > local_opt > > new_op = maker(node.op, context_name, node.inputs, node.outputs) > > File "/home/luca/data/Theano-master/theano/gpuarray/dnn.py", line > 1888, > > in local_gpua_pool_dnn_grad_stride > > inp, out, out_grad, ws, stride, pad = inputs > > ValueError: need more than 3 values to unpack > > > > ERROR (theano.gof.opt): Optimization failure due to: > > local_gpua_pool_dnn_grad_stride > > ERROR (theano.gof.opt): node: MaxPoolGrad{ds=(3, 3), ignore_border=True, > > st=(3, 3), padding=(0, 0), mode='max'}(HostFromGpu(gpuarray).0, > Pool{ds=(3, > > 3), ignore_border=True, st=(3, 3), padding=(0, 0), mode='max'}.0, > > Reshape{4}.0) > > ERROR (theano.gof.opt): TRACEBACK: > > ERROR (theano.gof.opt): Traceback (most recent call last): > > File "/home/luca/data/Theano-master/theano/gof/opt.py", line 1820, in > > process_node > > replacements = lopt.transform(node) > > File "/home/luca/data/Theano-master/theano/gpuarray/opt.py", line > 203, in > > local_opt > > new_op = maker(node.op, context_name, node.inputs, node.outputs) > > File "/home/luca/data/Theano-master/theano/gpuarray/dnn.py", line > 1888, > > in local_gpua_pool_dnn_grad_stride > > inp, out, out_grad, ws, stride, pad = inputs > > ValueError: need more than 3 values to unpack > > > > ERROR (theano.gof.opt): Optimization failure due to: > > local_gpua_pool_dnn_alternative > > ERROR (theano.gof.opt): node: Pool{ds=(3, 3), ignore_border=True, st=(3, > > 3), padding=(0, 0), mode='max'}(HostFromGpu(gpuarray).0) > > ERROR (theano.gof.opt): TRACEBACK: > > ERROR (theano.gof.opt): Traceback (most recent call last): > > File "/home/luca/data/Theano-master/theano/gof/opt.py", line 1820, in > > process_node > > replacements = lopt.transform(node) > > File "/home/luca/data/Theano-master/theano/gpuarray/opt.py", line > 203, in > > local_opt > > new_op = maker(node.op, context_name, node.inputs, node.outputs) > > File "/home/luca/data/Theano-master/theano/gpuarray/dnn.py", line > 1874, > > in local_gpua_pool_dnn_alternative > > img, ws, stride, pad = inputs > > ValueError: need more than 1 value to unpack > > > > ERROR (theano.gof.opt): Optimization failure due to: > > local_gpua_pool_dnn_grad_stride > > ERROR (theano.gof.opt): node: MaxPoolGrad{ds=(3, 3), ignore_border=True, > > st=(3, 3), padding=(0, 0), mode='max'}(HostFromGpu(gpuarray).0, > Pool{ds=(3, > > 3), ignore_border=True, st=(3, 3), padding=(0, 0), mode='max'}.0, > > Reshape{4}.0) > > ERROR (theano.gof.opt): TRACEBACK: > > ERROR (theano.gof.opt): Traceback (most recent call last): > > File "/home/luca/data/Theano-master/theano/gof/opt.py", line 1820, in > > process_node > > replacements = lopt.transform(node) > > File "/home/luca/data/Theano-master/theano/gpuarray/opt.py", line > 203, in > > local_opt > > new_op = maker(node.op, context_name, node.inputs, node.outputs) > > File "/home/luca/data/Theano-master/theano/gpuarray/dnn.py", line > 1888, > > in local_gpua_pool_dnn_grad_stride > > inp, out, out_grad, ws, stride, pad = inputs > > ValueError: need more than 3 values to unpack > > > > ERROR (theano.gof.opt): Optimization failure due to: > > local_gpua_pool_dnn_alternative > > ERROR (theano.gof.opt): node: Pool{ds=(3, 3), ignore_border=True, st=(3, > > 3), padding=(0, 0), mode='max'}(HostFromGpu(gpuarray).0) > > ERROR (theano.gof.opt): TRACEBACK: > > ERROR (theano.gof.opt): Traceback (most recent call last): > > File "/home/luca/data/Theano-master/theano/gof/opt.py", line 1820, in > > process_node > > replacements = lopt.transform(node) > > File "/home/luca/data/Theano-master/theano/gpuarray/opt.py", line > 203, in > > local_opt > > new_op = maker(node.op, context_name, node.inputs, node.outputs) > > File "/home/luca/data/Theano-master/theano/gpuarray/dnn.py", line > 1874, > > in local_gpua_pool_dnn_alternative > > img, ws, stride, pad = inputs > > ValueError: need more than 1 value to unpack > > > > ERROR (theano.gof.opt): Optimization failure due to: > > local_gpua_pool_dnn_grad_stride > > ERROR (theano.gof.opt): node: MaxPoolGrad{ds=(3, 3), ignore_border=True, > > st=(3, 3), padding=(0, 0), mode='max'}(HostFromGpu(gpuarray).0, > Pool{ds=(3, > > 3), ignore_border=True, st=(3, 3), padding=(0, 0), mode='max'}.0, > > Reshape{4}.0) > > ERROR (theano.gof.opt): TRACEBACK: > > ERROR (theano.gof.opt): Traceback (most recent call last): > > File "/home/luca/data/Theano-master/theano/gof/opt.py", line 1820, in > > process_node > > replacements = lopt.transform(node) > > File "/home/luca/data/Theano-master/theano/gpuarray/opt.py", line > 203, in > > local_opt > > new_op = maker(node.op, context_name, node.inputs, node.outputs) > > File "/home/luca/data/Theano-master/theano/gpuarray/dnn.py", line > 1888, > > in local_gpua_pool_dnn_grad_stride > > inp, out, out_grad, ws, stride, pad = inputs > > ValueError: need more than 3 values to unpack > > > > ERROR (theano.gof.opt): Optimization failure due to: > > local_gpua_pool_dnn_alternative > > ERROR (theano.gof.opt): node: Pool{ds=(3, 3), ignore_border=True, st=(3, > > 3), padding=(0, 0), mode='max'}(HostFromGpu(gpuarray).0) > > ERROR (theano.gof.opt): TRACEBACK: > > ERROR (theano.gof.opt): Traceback (most recent call last): > > File "/home/luca/data/Theano-master/theano/gof/opt.py", line 1820, in > > process_node > > replacements = lopt.transform(node) > > File "/home/luca/data/Theano-master/theano/gpuarray/opt.py", line > 203, in > > local_opt > > new_op = maker(node.op, context_name, node.inputs, node.outputs) > > File "/home/luca/data/Theano-master/theano/gpuarray/dnn.py", line > 1874, > > in local_gpua_pool_dnn_alternative > > img, ws, stride, pad = inputs > > ValueError: need more than 1 value to unpack > > > > ERROR (theano.gof.opt): Optimization failure due to: > > local_gpua_pool_dnn_grad_stride > > ERROR (theano.gof.opt): node: MaxPoolGrad{ds=(3, 3), ignore_border=True, > > st=(3, 3), padding=(0, 0), mode='max'}(HostFromGpu(gpuarray).0, > Pool{ds=(3, > > 3), ignore_border=True, st=(3, 3), padding=(0, 0), mode='max'}.0, > > Reshape{4}.0) > > ERROR (theano.gof.opt): TRACEBACK: > > ERROR (theano.gof.opt): Traceback (most recent call last): > > File "/home/luca/data/Theano-master/theano/gof/opt.py", line 1820, in > > process_node > > replacements = lopt.transform(node) > > File "/home/luca/data/Theano-master/theano/gpuarray/opt.py", line > 203, in > > local_opt > > new_op = maker(node.op, context_name, node.inputs, node.outputs) > > File "/home/luca/data/Theano-master/theano/gpuarray/dnn.py", line > 1888, > > in local_gpua_pool_dnn_grad_stride > > inp, out, out_grad, ws, stride, pad = inputs > > ValueError: need more than 3 values to unpack > > > > ERROR (theano.gof.opt): Optimization failure due to: > > local_gpua_pool_dnn_alternative > > ERROR (theano.gof.opt): node: Pool{ds=(3, 3), ignore_border=True, st=(3, > > 3), padding=(0, 0), mode='max'}(HostFromGpu(gpuarray).0) > > ERROR (theano.gof.opt): TRACEBACK: > > ERROR (theano.gof.opt): Traceback (most recent call last): > > File "/home/luca/data/Theano-master/theano/gof/opt.py", line 1820, in > > process_node > > replacements = lopt.transform(node) > > File "/home/luca/data/Theano-master/theano/gpuarray/opt.py", line > 203, in > > local_opt > > new_op = maker(node.op, context_name, node.inputs, node.outputs) > > File "/home/luca/data/Theano-master/theano/gpuarray/dnn.py", line > 1874, > > in local_gpua_pool_dnn_alternative > > img, ws, stride, pad = inputs > > ValueError: need more than 1 value to unpack > > > > ERROR (theano.gof.opt): Optimization failure due to: > > local_gpua_pool_dnn_grad_stride > > ERROR (theano.gof.opt): node: MaxPoolGrad{ds=(3, 3), ignore_border=True, > > st=(3, 3), padding=(0, 0), mode='max'}(HostFromGpu(gpuarray).0, > Pool{ds=(3, > > 3), ignore_border=True, st=(3, 3), padding=(0, 0), mode='max'}.0, > > Reshape{4}.0) > > ERROR (theano.gof.opt): TRACEBACK: > > ERROR (theano.gof.opt): Traceback (most recent call last): > > File "/home/luca/data/Theano-master/theano/gof/opt.py", line 1820, in > > process_node > > replacements = lopt.transform(node) > > File "/home/luca/data/Theano-master/theano/gpuarray/opt.py", line > 203, in > > local_opt > > new_op = maker(node.op, context_name, node.inputs, node.outputs) > > File "/home/luca/data/Theano-master/theano/gpuarray/dnn.py", line > 1888, > > in local_gpua_pool_dnn_grad_stride > > inp, out, out_grad, ws, stride, pad = inputs > > ValueError: need more than 3 values to unpack > > > > ERROR (theano.gof.opt): Optimization failure due to: > > local_gpua_pool_dnn_grad_stride > > ERROR (theano.gof.opt): node: MaxPoolGrad{ds=(1, 3), ignore_border=True, > > st=(1, 3), padding=(0, 0), mode='max'}(Reshape{4}.0, Pool{ds=(1, 3), > > ignore_border=True, st=(1, 3), padding=(0, 0), mode='max'}.0, > > HostFromGpu(gpuarray).0) > > ERROR (theano.gof.opt): TRACEBACK: > > ERROR (theano.gof.opt): Traceback (most recent call last): > > File "/home/luca/data/Theano-master/theano/gof/opt.py", line 1820, in > > process_node > > replacements = lopt.transform(node) > > File "/home/luca/data/Theano-master/theano/gpuarray/opt.py", line > 203, in > > local_opt > > new_op = maker(node.op, context_name, node.inputs, node.outputs) > > File "/home/luca/data/Theano-master/theano/gpuarray/dnn.py", line > 1888, > > in local_gpua_pool_dnn_grad_stride > > inp, out, out_grad, ws, stride, pad = inputs > > ValueError: need more than 3 values to unpack > > > > ERROR (theano.gof.opt): Optimization failure due to: > > local_gpua_pool_dnn_alternative > > ERROR (theano.gof.opt): node: Pool{ds=(3, 3), ignore_border=True, st=(3, > > 3), padding=(0, 0), mode='max'}(HostFromGpu(gpuarray).0) > > ERROR (theano.gof.opt): TRACEBACK: > > ERROR (theano.gof.opt): Traceback (most recent call last): > > File "/home/luca/data/Theano-master/theano/gof/opt.py", line 1820, in > > process_node > > replacements = lopt.transform(node) > > File "/home/luca/data/Theano-master/theano/gpuarray/opt.py", line > 203, in > > local_opt > > new_op = maker(node.op, context_name, node.inputs, node.outputs) > > File "/home/luca/data/Theano-master/theano/gpuarray/dnn.py", line > 1874, > > in local_gpua_pool_dnn_alternative > > img, ws, stride, pad = inputs > > ValueError: need more than 1 value to unpack > > > > Disabling C code for DiagonalSubtensor{inplace} due to unsupported > float16 > > Disabling C code for Pool{ds=(3, 3), ignore_border=True, st=(3, 3), > > padding=(0, 0), mode='max'} due to unsupported float16 > > Disabling C code for Pool{ds=(1, 3), ignore_border=True, st=(1, 3), > > padding=(0, 0), mode='max'} due to unsupported float16 > > Disabling C code for MaxPoolGrad{ds=(1, 3), ignore_border=True, st=(1, > 3), > > padding=(0, 0), mode='max'} due to unsupported float16 > > Disabling C code for MaxPoolGrad{ds=(3, 3), ignore_border=True, st=(3, > 3), > > padding=(0, 0), mode='max'} due to unsupported float16 > > Disabling C code for IncDiagonalSubtensor due to unsupported float16 > > ERROR (theano.gof.opt): SeqOptimizer apply <theano.gpuarray.opt.GraphToGP > U > > object at 0x7f393587d710> > > ERROR (theano.gof.opt): Traceback: > > ERROR (theano.gof.opt): Traceback (most recent call last): > > File "/home/luca/data/Theano-master/theano/gof/opt.py", line 235, in > apply > > sub_prof = optimizer.optimize(fgraph) > > File "/home/luca/data/Theano-master/theano/gof/opt.py", line 90, in > > optimize > > ret = self.apply(fgraph, *args, **kwargs) > > File "/home/luca/data/Theano-master/theano/gpuarray/opt.py", line > 355, in > > apply > > node.outputs) > > File "/home/luca/data/Theano-master/theano/gpuarray/dnn.py", line > 1874, > > in local_gpua_pool_dnn_alternative > > img, ws, stride, pad = inputs > > ValueError: need more than 1 value to unpack > > > > ERROR (theano.gof.opt): Optimization failure due to: > > local_gpua_pool_dnn_alternative > > ERROR (theano.gof.opt): node: Pool{ds=(1, 3), ignore_border=True, st=(1, > > 3), padding=(0, 0), mode='max'}(Reshape{4}.0) > > ERROR (theano.gof.opt): TRACEBACK: > > ERROR (theano.gof.opt): Traceback (most recent call last): > > File "/home/luca/data/Theano-master/theano/gof/opt.py", line 1820, in > > process_node > > replacements = lopt.transform(node) > > File "/home/luca/data/Theano-master/theano/gpuarray/opt.py", line > 203, in > > local_opt > > new_op = maker(node.op, context_name, node.inputs, node.outputs) > > File "/home/luca/data/Theano-master/theano/gpuarray/dnn.py", line > 1874, > > in local_gpua_pool_dnn_alternative > > img, ws, stride, pad = inputs > > ValueError: need more than 1 value to unpack > > > > ERROR (theano.gof.opt): Optimization failure due to: > > local_gpua_pool_dnn_alternative > > ERROR (theano.gof.opt): node: Pool{ds=(1, 3), ignore_border=True, st=(1, > > 3), padding=(0, 0), mode='max'}(Reshape{4}.0) > > ERROR (theano.gof.opt): TRACEBACK: > > ERROR (theano.gof.opt): Traceback (most recent call last): > > File "/home/luca/data/Theano-master/theano/gof/opt.py", line 1820, in > > process_node > > replacements = lopt.transform(node) > > File "/home/luca/data/Theano-master/theano/gpuarray/opt.py", line > 203, in > > local_opt > > new_op = maker(node.op, context_name, node.inputs, node.outputs) > > File "/home/luca/data/Theano-master/theano/gpuarray/dnn.py", line > 1874, > > in local_gpua_pool_dnn_alternative > > img, ws, stride, pad = inputs > > ValueError: need more than 1 value to unpack > > > > ERROR (theano.gof.opt): Optimization failure due to: > > local_gpua_pool_dnn_alternative > > ERROR (theano.gof.opt): node: Pool{ds=(1, 3), ignore_border=True, st=(1, > > 3), padding=(0, 0), mode='max'}(Reshape{4}.0) > > ERROR (theano.gof.opt): TRACEBACK: > > ERROR (theano.gof.opt): Traceback (most recent call last): > > File "/home/luca/data/Theano-master/theano/gof/opt.py", line 1820, in > > process_node > > replacements = lopt.transform(node) > > File "/home/luca/data/Theano-master/theano/gpuarray/opt.py", line > 203, in > > local_opt > > new_op = maker(node.op, context_name, node.inputs, node.outputs) > > File "/home/luca/data/Theano-master/theano/gpuarray/dnn.py", line > 1874, > > in local_gpua_pool_dnn_alternative > > img, ws, stride, pad = inputs > > ValueError: need more than 1 value to unpack > > > > ERROR (theano.gof.opt): Optimization failure due to: > > local_gpua_pool_dnn_alternative > > ERROR (theano.gof.opt): node: Pool{ds=(1, 3), ignore_border=True, st=(1, > > 3), padding=(0, 0), mode='max'}(Reshape{4}.0) > > ERROR (theano.gof.opt): TRACEBACK: > > ERROR (theano.gof.opt): Traceback (most recent call last): > > File "/home/luca/data/Theano-master/theano/gof/opt.py", line 1820, in > > process_node > > replacements = lopt.transform(node) > > File "/home/luca/data/Theano-master/theano/gpuarray/opt.py", line > 203, in > > local_opt > > new_op = maker(node.op, context_name, node.inputs, node.outputs) > > File "/home/luca/data/Theano-master/theano/gpuarray/dnn.py", line > 1874, > > in local_gpua_pool_dnn_alternative > > img, ws, stride, pad = inputs > > ValueError: need more than 1 value to unpack > > > > ERROR (theano.gof.opt): Optimization failure due to: > > local_gpua_pool_dnn_alternative > > ERROR (theano.gof.opt): node: Pool{ds=(1, 3), ignore_border=True, st=(1, > > 3), padding=(0, 0), mode='max'}(Reshape{4}.0) > > ERROR (theano.gof.opt): TRACEBACK: > > ERROR (theano.gof.opt): Traceback (most recent call last): > > File "/home/luca/data/Theano-master/theano/gof/opt.py", line 1820, in > > process_node > > replacements = lopt.transform(node) > > File "/home/luca/data/Theano-master/theano/gpuarray/opt.py", line > 203, in > > local_opt > > new_op = maker(node.op, context_name, node.inputs, node.outputs) > > File "/home/luca/data/Theano-master/theano/gpuarray/dnn.py", line > 1874, > > in local_gpua_pool_dnn_alternative > > img, ws, stride, pad = inputs > > ValueError: need more than 1 value to unpack > > > > ERROR (theano.gof.opt): Optimization failure due to: > > local_gpua_pool_dnn_alternative > > ERROR (theano.gof.opt): node: Pool{ds=(3, 3), ignore_border=True, st=(3, > > 3), padding=(0, 0), mode='max'}(HostFromGpu(gpuarray).0) > > ERROR (theano.gof.opt): TRACEBACK: > > ERROR (theano.gof.opt): Traceback (most recent call last): > > File "/home/luca/data/Theano-master/theano/gof/opt.py", line 1820, in > > process_node > > replacements = lopt.transform(node) > > File "/home/luca/data/Theano-master/theano/gpuarray/opt.py", line > 203, in > > local_opt > > new_op = maker(node.op, context_name, node.inputs, node.outputs) > > File "/home/luca/data/Theano-master/theano/gpuarray/dnn.py", line > 1874, > > in local_gpua_pool_dnn_alternative > > img, ws, stride, pad = inputs > > ValueError: need more than 1 value to unpack > > > > ERROR (theano.gof.opt): Optimization failure due to: > > local_gpua_pool_dnn_alternative > > ERROR (theano.gof.opt): node: Pool{ds=(1, 3), ignore_border=True, st=(1, > > 3), padding=(0, 0), mode='max'}(Reshape{4}.0) > > ERROR (theano.gof.opt): TRACEBACK: > > ERROR (theano.gof.opt): Traceback (most recent call last): > > File "/home/luca/data/Theano-master/theano/gof/opt.py", line 1820, in > > process_node > > replacements = lopt.transform(node) > > File "/home/luca/data/Theano-master/theano/gpuarray/opt.py", line > 203, in > > local_opt > > new_op = maker(node.op, context_name, node.inputs, node.outputs) > > File "/home/luca/data/Theano-master/theano/gpuarray/dnn.py", line > 1874, > > in local_gpua_pool_dnn_alternative > > img, ws, stride, pad = inputs > > ValueError: need more than 1 value to unpack > > > > ERROR (theano.gof.opt): Optimization failure due to: > > local_gpua_pool_dnn_alternative > > ERROR (theano.gof.opt): node: Pool{ds=(3, 3), ignore_border=True, st=(3, > > 3), padding=(0, 0), mode='max'}(HostFromGpu(gpuarray).0) > > ERROR (theano.gof.opt): TRACEBACK: > > ERROR (theano.gof.opt): Traceback (most recent call last): > > File "/home/luca/data/Theano-master/theano/gof/opt.py", line 1820, in > > process_node > > replacements = lopt.transform(node) > > File "/home/luca/data/Theano-master/theano/gpuarray/opt.py", line > 203, in > > local_opt > > new_op = maker(node.op, context_name, node.inputs, node.outputs) > > File "/home/luca/data/Theano-master/theano/gpuarray/dnn.py", line > 1874, > > in local_gpua_pool_dnn_alternative > > img, ws, stride, pad = inputs > > ValueError: need more than 1 value to unpack > > > > ERROR (theano.gof.opt): Optimization failure due to: > > local_gpua_pool_dnn_alternative > > ERROR (theano.gof.opt): node: Pool{ds=(1, 3), ignore_border=True, st=(1, > > 3), padding=(0, 0), mode='max'}(Reshape{4}.0) > > ERROR (theano.gof.opt): TRACEBACK: > > ERROR (theano.gof.opt): Traceback (most recent call last): > > File "/home/luca/data/Theano-master/theano/gof/opt.py", line 1820, in > > process_node > > replacements = lopt.transform(node) > > File "/home/luca/data/Theano-master/theano/gpuarray/opt.py", line > 203, in > > local_opt > > new_op = maker(node.op, context_name, node.inputs, node.outputs) > > File "/home/luca/data/Theano-master/theano/gpuarray/dnn.py", line > 1874, > > in local_gpua_pool_dnn_alternative > > img, ws, stride, pad = inputs > > ValueError: need more than 1 value to unpack > > > > ERROR (theano.gof.opt): Optimization failure due to: > > local_gpua_pool_dnn_alternative > > ERROR (theano.gof.opt): node: Pool{ds=(3, 3), ignore_border=True, st=(3, > > 3), padding=(0, 0), mode='max'}(HostFromGpu(gpuarray).0) > > ERROR (theano.gof.opt): TRACEBACK: > > ERROR (theano.gof.opt): Traceback (most recent call last): > > File "/home/luca/data/Theano-master/theano/gof/opt.py", line 1820, in > > process_node > > replacements = lopt.transform(node) > > File "/home/luca/data/Theano-master/theano/gpuarray/opt.py", line > 203, in > > local_opt > > new_op = maker(node.op, context_name, node.inputs, node.outputs) > > File "/home/luca/data/Theano-master/theano/gpuarray/dnn.py", line > 1874, > > in local_gpua_pool_dnn_alternative > > img, ws, stride, pad = inputs > > ValueError: need more than 1 value to unpack > > > > Disabling C code for DiagonalSubtensor{inplace} due to unsupported > float16 > > Disabling C code for Pool{ds=(3, 3), ignore_border=True, st=(3, 3), > > padding=(0, 0), mode='max'} due to unsupported float16 > > Disabling C code for Pool{ds=(1, 3), ignore_border=True, st=(1, 3), > > padding=(0, 0), mode='max'} due to unsupported float16 > > Disabling C code for MaxAndArgmax due to unsupported float16 > > > > > > start time: > > 07/10/2016 > > 14:08:56 > > > > > > Images for training: 316 > > Images for validation: 56 > > Epochs: 100 > > > > > > training @ iter = 0 > > training cost 0.69287 > > epoch 1, training batch 316/316, validation error 39.286 % > > training @ iter = 400 > > > > -- > > > > --- > > You received this message because you are subscribed to the Google > Groups "theano-users" group. > > To unsubscribe from this group and stop receiving emails from it, send > an email to theano-users+unsubscr...@googlegroups.com. > > For more options, visit https://groups.google.com/d/optout. > > > -- > Pascal > > -- > > --- > You received this message because you are subscribed to the Google Groups > "theano-users" group. > To unsubscribe from this group and stop receiving emails from it, send an > email to theano-users+unsubscr...@googlegroups.com. > For more options, visit https://groups.google.com/d/optout. > -- --- You received this message because you are subscribed to the Google Groups "theano-users" group. To unsubscribe from this group and stop receiving emails from it, send an email to theano-users+unsubscr...@googlegroups.com. For more options, visit https://groups.google.com/d/optout.
