mpezeshki / ctc-connectionist-temporal-classification Goto Github PK
View Code? Open in Web Editor NEWTheano implementation of CTC.
License: Apache License 2.0
Theano implementation of CTC.
License: Apache License 2.0
Hi all
I want to discuss some issue regarding training DNN/CNN-CTC for speech recognition. (Wall Street Journal Corpus). I modeled output unit as characters.
I observed that CTC objective function was increasing and finally converged during training.
But I also observed that final NN outputs have clear tendency : p(blank symbol) >> p(non-blank symbol) for all speech time frame as following figure
In Alex Graves' paper, trained RNN should have high p(non-blank) at some point like following figure
Do you have same situation when you train NN-CTC for sequence labeling problem? I am suspecting that the reason is I use MLP/CNN instead of RNN, but I can't clearly explain why this can be a reason.
Any idea about this result?
Thank you for reading my question.
I'm trying to run your ctc example but i get the following error:
Building model ...
/Users/sorensonderby/Documents/phd/RNN/Theano/theano/scan_module/scan_perform_ext.py:133: RuntimeWarning: numpy.ndarray size changed, may indicate binary incompatibility
from scan_perform.scan_perform import *
Bulding DataStream ...
Bulding training process...
INFO:blocks.algorithms:Taking the cost gradient
INFO:blocks.algorithms:The cost gradient computation graph is built
Starting training ...
INFO:blocks.main_loop:Entered the main loop
INFO:blocks.algorithms:Initializing the training algorithm
INFO:blocks.algorithms:The training algorithm is initialized
ERROR:blocks.main_loop:Error occured during training.
Blocks will attempt to run `on_error` extensions, potentially saving data, before exiting and reraising the error. Note that the usual `after_training` extensions will *not* be run. The original error will be re-raised and also stored in the training log. Press CTRL + C to halt Blocks immediately.
-------------------------------------------------------------------------------
BEFORE FIRST EPOCH
-------------------------------------------------------------------------------
Training status:
batch_interrupt_received: False
epoch_interrupt_received: False
epoch_started: True
epochs_done: 0
iterations_done: 0
received_first_batch: False
training_started: True
Log records from the iteration 0:
Traceback (most recent call last):
File "/Users/sorensonderby/Documents/phd/RNN/CTC-Connectionist-Temporal-Classification/test_ctc.py", line 122, in <module>
main_loop.run()
File "/Users/sorensonderby/Documents/phd/RNN/blocks/blocks/main_loop.py", line 192, in run
reraise_as(e)
File "/Users/sorensonderby/Documents/phd/RNN/blocks/blocks/utils/__init__.py", line 225, in reraise_as
six.reraise(type(new_exc), new_exc, orig_exc_traceback)
File "/Users/sorensonderby/Documents/phd/RNN/blocks/blocks/main_loop.py", line 178, in run
while self._run_epoch():
File "/Users/sorensonderby/Documents/phd/RNN/blocks/blocks/main_loop.py", line 227, in _run_epoch
while self._run_iteration():
File "/Users/sorensonderby/Documents/phd/RNN/blocks/blocks/main_loop.py", line 247, in _run_iteration
self.algorithm.process_batch(batch)
File "/Users/sorensonderby/Documents/phd/RNN/blocks/blocks/algorithms/__init__.py", line 234, in process_batch
self._function(*ordered_batch)
File "/Users/sorensonderby/Documents/phd/RNN/Theano/theano/compile/function_module.py", line 517, in __call__
allow_downcast=s.allow_downcast)
File "/Users/sorensonderby/Documents/phd/RNN/Theano/theano/tensor/type.py", line 130, in filter
raise TypeError(err_msg, data)
TypeError: ('Bad input argument to theano function with name "/Users/sorensonderby/Documents/phd/RNN/blocks/blocks/algorithms/__init__.py:224" at index 0(0-based), TensorType(float32, matrix) cannot store a value of dtype float64 without risking loss of precision. If you do not mind this loss, you can: 1) explicitly cast your data to float32, or 2) set "allow_input_downcast=True" when calling "function"., [[ 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]\n [ 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]\n [ 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]\n [ 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]\n [ 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]\n [ 0. 0. 0. 0. 1. 1. 1. 1. 1. 1.]]\n\nOriginal exception:\n\tTypeError: Bad input argument to theano function with name "/Users/sorensonderby/Documents/phd/RNN/blocks/blocks/algorithms/__init__.py:224" at index 0(0-based), TensorType(float32, matrix) cannot store a value of dtype float64 without risking loss of precision. If you do not mind this loss, you can: 1) explicitly cast your data to float32, or 2) set "allow_input_downcast=True" when calling "function"., [[ 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]\n [ 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]\n [ 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]\n [ 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]\n [ 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]\n [ 0. 0. 0. 0. 1. 1. 1. 1. 1. 1.]]', 'TensorType(float32, matrix) cannot store a value of dtype float64 without risking loss of precision. If you do not mind this loss, you can: 1) explicitly cast your data to float32, or 2) set "allow_input_downcast=True" when calling "function".', array([[ 1., 1., 1., 1., 1., 1., 1., 1., 1., 1.],
[ 1., 1., 1., 1., 1., 1., 1., 1., 1., 1.],
[ 1., 1., 1., 1., 1., 1., 1., 1., 1., 1.],
[ 1., 1., 1., 1., 1., 1., 1., 1., 1., 1.],
[ 1., 1., 1., 1., 1., 1., 1., 1., 1., 1.],
[ 0., 0., 0., 0., 1., 1., 1., 1., 1., 1.]]))
Which i think i can workaround by setting allow_input_downcast=True
in line 224 in blocks/algorithms/__init__.py
But then i get another error:
Building model ...
/Users/sorensonderby/Documents/phd/RNN/Theano/theano/scan_module/scan_perform_ext.py:133: RuntimeWarning: numpy.ndarray size changed, may indicate binary incompatibility
from scan_perform.scan_perform import *
Bulding DataStream ...
Bulding training process...
INFO:blocks.algorithms:Taking the cost gradient
INFO:blocks.algorithms:The cost gradient computation graph is built
INFO:blocks.main_loop:Entered the main loop
INFO:blocks.algorithms:Initializing the training algorithm
Starting training ...
INFO:blocks.algorithms:The training algorithm is initialized
-------------------------------------------------------------------------------
BEFORE FIRST EPOCH
-------------------------------------------------------------------------------
Training status:
batch_interrupt_received: False
epoch_interrupt_received: False
epoch_started: True
epochs_done: 0
iterations_done: 0
received_first_batch: False
training_started: True
Log records from the iteration 0:
ERROR:blocks.main_loop:Error occured during training.
Blocks will attempt to run `on_error` extensions, potentially saving data, before exiting and reraising the error. Note that the usual `after_training` extensions will *not* be run. The original error will be re-raised and also stored in the training log. Press CTRL + C to halt Blocks immediately.
Traceback (most recent call last):
File "/Users/sorensonderby/Documents/phd/RNN/CTC-Connectionist-Temporal-Classification/test_ctc.py", line 122, in <module>
main_loop.run()
File "/Users/sorensonderby/Documents/phd/RNN/blocks/blocks/main_loop.py", line 192, in run
reraise_as(e)
File "/Users/sorensonderby/Documents/phd/RNN/blocks/blocks/utils/__init__.py", line 225, in reraise_as
six.reraise(type(new_exc), new_exc, orig_exc_traceback)
File "/Users/sorensonderby/Documents/phd/RNN/blocks/blocks/main_loop.py", line 178, in run
while self._run_epoch():
File "/Users/sorensonderby/Documents/phd/RNN/blocks/blocks/main_loop.py", line 227, in _run_epoch
while self._run_iteration():
File "/Users/sorensonderby/Documents/phd/RNN/blocks/blocks/main_loop.py", line 247, in _run_iteration
self.algorithm.process_batch(batch)
File "/Users/sorensonderby/Documents/phd/RNN/blocks/blocks/algorithms/__init__.py", line 234, in process_batch
self._function(*ordered_batch)
File "/Users/sorensonderby/Documents/phd/RNN/Theano/theano/compile/function_module.py", line 610, in __call__
storage_map=self.fn.storage_map)
File "/Users/sorensonderby/Documents/phd/RNN/Theano/theano/compile/function_module.py", line 599, in __call__
outputs = self.fn()
TypeError: expected type_num 7 (NPY_INT64) got 12
Apply node that caused the error: Elemwise{Add}[(0, 1)](Viterbi, shared_Viterbi)
Inputs types: [TensorType(int64, vector), TensorType(int64, vector)]
Inputs shapes: [(0,), (7,)]
Inputs strides: [(8,), (8,)]
Inputs values: [array([], dtype=float64), 'not shown']
HINT: Re-running with most Theano optimization disabled could give you a back-trace of when this node was created. This can be done with by setting the Theano flag 'optimizer=fast_compile'. If that does not work, Theano optimizations can be disabled with 'optimizer=None'.
HINT: Use the Theano flag 'exception_verbosity=high' for a debugprint and storage map footprint of this apply node.
Original exception:
TypeError: expected type_num 7 (NPY_INT64) got 12
Apply node that caused the error: Elemwise{Add}[(0, 1)](Viterbi, shared_Viterbi)
Inputs types: [TensorType(int64, vector), TensorType(int64, vector)]
Inputs shapes: [(0,), (7,)]
Inputs strides: [(8,), (8,)]
Inputs values: [array([], dtype=float64), 'not shown']
HINT: Re-running with most Theano optimization disabled could give you a back-trace of when this node was created. This can be done with by setting the Theano flag 'optimizer=fast_compile'. If that does not work, Theano optimizations can be disabled with 'optimizer=None'.
HINT: Use the Theano flag 'exception_verbosity=high' for a debugprint and storage map footprint of this apply node.
Can you add a few notes explaning what S, T, B, D, L, C
and F
are?
Maybe you could also explain the input format for apply(cls, y, y_hat, y_mask, y_hat_mask, scale='log_scale')
?
Is it correct that:
y
: one-hot encoded labels, LABEL_LENGTH x BATCH_SIZEy_hat
: predictions: INPUT_SEQUENCE_LENGTH x BATCH_SIZE x {num_classes + blank}y_mask
: binary mask? shp? I assume that one is used for included sequences?y_mask_hat
: Used to mask if the input is not INPUT_SEQUENCE_LENGTH?Where INPUT_SEQUENCE_LENGTH is the length of the input sequences (30 for the example data) and LABEL_LENGTH is the label sequence for each target. Is LABEL_LENGTH padded if the true label length vary?
-Søren
Hello, I am doing some research on TIMIT and I have to use CTC in my model. I read ctc_cost.py but I can not understand the function: class_batch_to_labeling_batch(y, y_hat, y_hat_mask=None).
In comments, y_hat is T x B x (C+1) matrix and y_hat_mask is T x B matrix. In line 65:
y_hat = y_hat * y_hat_mask.dimshuffle(0, 'x', 1)
I am puzzled because y_hat_mask.dimshuffle(0, 'x', 1) is T x 1 x B matrix and it can not multiply with y_hat which is T x B x (C+1) matrix. In addition, I tried to run this function in Ipython notebook and it reported an error.
Could you please explain why it is y_hat = y_hat * y_hat_mask.dimshuffle(0, 'x', 1) and what is res in the function?
Thanks.
First of all, I am impressed this exciting source and appreciate all contributors.
Question 1. Is it possible for kaldi scripts to create a set of input files with which ctc-stanford training script can run?
I think that all input files for an execution are: key#.txt, feat.bin and alis#.txt. Examples of these files are in the URL: http://deeplearning.stanford.edu/lexfree/timit/
Question 2. If the answer of the previous question is NO, then how can I create these three kinds of files from my wav files and transcripts of them?
I know methods and scripts to extract the mfcc and log mel filter bank features as described in the URL https://github.com/jameslyons/python_speech_features
I think that a set of feature vectors of a wav file can be an input for dataLoarder.py. But I am not sure how the rest of three files can be obtained.
ubgpu@ubgpu:/github/CTC-Connectionist-Temporal-Classification$/github/CTC-Connectionist-Temporal-Classification$ sudo python test_ctc.py
ubgpu@ubgpu:
[sudo] password for ubgpu:
Using gpu device 0: GeForce GTX 970
Building model ...
/usr/local/lib/python2.7/dist-packages/theano/scan_module/scan_perform_ext.py:133: RuntimeWarning: numpy.ndarray size changed, may indicate binary incompatibility
from scan_perform.scan_perform import *
Bulding DataStream ...
Bulding training process...
INFO:blocks.algorithms:Taking the cost gradient
INFO:blocks.algorithms:The cost gradient computation graph is built
Starting training ...
INFO:blocks.main_loop:Entered the main loop
INFO:blocks.algorithms:Initializing the training algorithm
ERROR (theano.gof.opt): Optimization failure due to: local_gpu_lazy_ifelse
ERROR:theano.gof.opt:Optimization failure due to: local_gpu_lazy_ifelse
ERROR (theano.gof.opt): TRACEBACK:
ERROR:theano.gof.opt:TRACEBACK:
ERROR (theano.gof.opt): Traceback (most recent call last):
File "/usr/local/lib/python2.7/dist-packages/theano/gof/opt.py", line 1493, in process_node
replacements = lopt.transform(node)
File "/usr/local/lib/python2.7/dist-packages/theano/sandbox/cuda/opt.py", line 460, in local_gpu_lazy_ifelse
outs[i] = gpu_from_host(outs[i])
File "/usr/local/lib/python2.7/dist-packages/theano/gof/op.py", line 507, in call
node = self.make_node(_inputs, *_kwargs)
File "/usr/local/lib/python2.7/dist-packages/theano/sandbox/cuda/basic_ops.py", line 133, in make_node
dtype=x.dtype)()])
File "/usr/local/lib/python2.7/dist-packages/theano/sandbox/cuda/type.py", line 69, in init
(self.class.name, dtype, name))
TypeError: CudaNdarrayType only supports dtype float32 for now. Tried using dtype int64 for variable None
ERROR:theano.gof.opt:Traceback (most recent call last):
File "/usr/local/lib/python2.7/dist-packages/theano/gof/opt.py", line 1493, in process_node
replacements = lopt.transform(node)
File "/usr/local/lib/python2.7/dist-packages/theano/sandbox/cuda/opt.py", line 460, in local_gpu_lazy_ifelse
outs[i] = gpu_from_host(outs[i])
File "/usr/local/lib/python2.7/dist-packages/theano/gof/op.py", line 507, in call
node = self.make_node(_inputs, *_kwargs)
File "/usr/local/lib/python2.7/dist-packages/theano/sandbox/cuda/basic_ops.py", line 133, in make_node
dtype=x.dtype)()])
File "/usr/local/lib/python2.7/dist-packages/theano/sandbox/cuda/type.py", line 69, in init
(self.class.name, dtype, name))
TypeError: CudaNdarrayType only supports dtype float32 for now. Tried using dtype int64 for variable None
ERROR (theano.gof.opt): Optimization failure due to: local_gpu_lazy_ifelse
ERROR:theano.gof.opt:Optimization failure due to: local_gpu_lazy_ifelse
ERROR (theano.gof.opt): TRACEBACK:
ERROR:theano.gof.opt:TRACEBACK:
ERROR (theano.gof.opt): Traceback (most recent call last):
File "/usr/local/lib/python2.7/dist-packages/theano/gof/opt.py", line 1493, in process_node
replacements = lopt.transform(node)
File "/usr/local/lib/python2.7/dist-packages/theano/sandbox/cuda/opt.py", line 460, in local_gpu_lazy_ifelse
outs[i] = gpu_from_host(outs[i])
File "/usr/local/lib/python2.7/dist-packages/theano/gof/op.py", line 507, in call
node = self.make_node(_inputs, *_kwargs)
File "/usr/local/lib/python2.7/dist-packages/theano/sandbox/cuda/basic_ops.py", line 133, in make_node
dtype=x.dtype)()])
File "/usr/local/lib/python2.7/dist-packages/theano/sandbox/cuda/type.py", line 69, in init
(self.class.name, dtype, name))
TypeError: CudaNdarrayType only supports dtype float32 for now. Tried using dtype int32 for variable None
ERROR:theano.gof.opt:Traceback (most recent call last):
File "/usr/local/lib/python2.7/dist-packages/theano/gof/opt.py", line 1493, in process_node
replacements = lopt.transform(node)
File "/usr/local/lib/python2.7/dist-packages/theano/sandbox/cuda/opt.py", line 460, in local_gpu_lazy_ifelse
outs[i] = gpu_from_host(outs[i])
File "/usr/local/lib/python2.7/dist-packages/theano/gof/op.py", line 507, in call
node = self.make_node(_inputs, *_kwargs)
File "/usr/local/lib/python2.7/dist-packages/theano/sandbox/cuda/basic_ops.py", line 133, in make_node
dtype=x.dtype)()])
File "/usr/local/lib/python2.7/dist-packages/theano/sandbox/cuda/type.py", line 69, in init
(self.class.name, dtype, name))
TypeError: CudaNdarrayType only supports dtype float32 for now. Tried using dtype int32 for variable None
<<!! BUG IN FGRAPH.REPLACE OR A LISTENER !!>> <type 'exceptions.TypeError'> ('The type of the replacement must be compatible with the type of the original Variable.', Sum{axis=[0], acc_dtype=float64}.0, HostFromGpu.0, TensorType(int32, vector), TensorType(float32, vector), 'local_gpu_careduce') local_gpu_careduce
ERROR (theano.gof.opt): Optimization failure due to: local_gpu_careduce
ERROR:theano.gof.opt:Optimization failure due to: local_gpu_careduce
ERROR (theano.gof.opt): TRACEBACK:
ERROR:theano.gof.opt:TRACEBACK:
ERROR (theano.gof.opt): Traceback (most recent call last):
File "/usr/local/lib/python2.7/dist-packages/theano/gof/opt.py", line 1527, in process_node
fgraph.replace_all_validate(repl_pairs, reason=lopt)
File "/usr/local/lib/python2.7/dist-packages/theano/gof/toolbox.py", line 259, in replace_all_validate
fgraph.replace(r, new_r, reason=reason, verbose=False)
File "/usr/local/lib/python2.7/dist-packages/theano/gof/fg.py", line 474, in replace
str(reason))
TypeError: ('The type of the replacement must be compatible with the type of the original Variable.', Sum{axis=[0], acc_dtype=float64}.0, HostFromGpu.0, TensorType(int32, vector), TensorType(float32, vector), 'local_gpu_careduce')
ERROR:theano.gof.opt:Traceback (most recent call last):
File "/usr/local/lib/python2.7/dist-packages/theano/gof/opt.py", line 1527, in process_node
fgraph.replace_all_validate(repl_pairs, reason=lopt)
File "/usr/local/lib/python2.7/dist-packages/theano/gof/toolbox.py", line 259, in replace_all_validate
fgraph.replace(r, new_r, reason=reason, verbose=False)
File "/usr/local/lib/python2.7/dist-packages/theano/gof/fg.py", line 474, in replace
str(reason))
TypeError: ('The type of the replacement must be compatible with the type of the original Variable.', Sum{axis=[0], acc_dtype=float64}.0, HostFromGpu.0, TensorType(int32, vector), TensorType(float32, vector), 'local_gpu_careduce')
ERROR (theano.gof.opt): Optimization failure due to: local_gpu_lazy_ifelse
ERROR:theano.gof.opt:Optimization failure due to: local_gpu_lazy_ifelse
ERROR (theano.gof.opt): TRACEBACK:
ERROR:theano.gof.opt:TRACEBACK:
ERROR (theano.gof.opt): Traceback (most recent call last):
File "/usr/local/lib/python2.7/dist-packages/theano/gof/opt.py", line 1493, in process_node
replacements = lopt.transform(node)
File "/usr/local/lib/python2.7/dist-packages/theano/sandbox/cuda/opt.py", line 460, in local_gpu_lazy_ifelse
outs[i] = gpu_from_host(outs[i])
File "/usr/local/lib/python2.7/dist-packages/theano/gof/op.py", line 507, in call
node = self.make_node(_inputs, *_kwargs)
File "/usr/local/lib/python2.7/dist-packages/theano/sandbox/cuda/basic_ops.py", line 133, in make_node
dtype=x.dtype)()])
File "/usr/local/lib/python2.7/dist-packages/theano/sandbox/cuda/type.py", line 69, in init
(self.class.name, dtype, name))
TypeError: CudaNdarrayType only supports dtype float32 for now. Tried using dtype int64 for variable None
ERROR:theano.gof.opt:Traceback (most recent call last):
File "/usr/local/lib/python2.7/dist-packages/theano/gof/opt.py", line 1493, in process_node
replacements = lopt.transform(node)
File "/usr/local/lib/python2.7/dist-packages/theano/sandbox/cuda/opt.py", line 460, in local_gpu_lazy_ifelse
outs[i] = gpu_from_host(outs[i])
File "/usr/local/lib/python2.7/dist-packages/theano/gof/op.py", line 507, in call
node = self.make_node(_inputs, *_kwargs)
File "/usr/local/lib/python2.7/dist-packages/theano/sandbox/cuda/basic_ops.py", line 133, in make_node
dtype=x.dtype)()])
File "/usr/local/lib/python2.7/dist-packages/theano/sandbox/cuda/type.py", line 69, in init
(self.class.name, dtype, name))
TypeError: CudaNdarrayType only supports dtype float32 for now. Tried using dtype int64 for variable None
ERROR (theano.gof.opt): Optimization failure due to: local_gpu_lazy_ifelse
ERROR:theano.gof.opt:Optimization failure due to: local_gpu_lazy_ifelse
ERROR (theano.gof.opt): TRACEBACK:
ERROR:theano.gof.opt:TRACEBACK:
ERROR (theano.gof.opt): Traceback (most recent call last):
File "/usr/local/lib/python2.7/dist-packages/theano/gof/opt.py", line 1493, in process_node
replacements = lopt.transform(node)
File "/usr/local/lib/python2.7/dist-packages/theano/sandbox/cuda/opt.py", line 460, in local_gpu_lazy_ifelse
outs[i] = gpu_from_host(outs[i])
File "/usr/local/lib/python2.7/dist-packages/theano/gof/op.py", line 507, in call
node = self.make_node(_inputs, *_kwargs)
File "/usr/local/lib/python2.7/dist-packages/theano/sandbox/cuda/basic_ops.py", line 133, in make_node
dtype=x.dtype)()])
File "/usr/local/lib/python2.7/dist-packages/theano/sandbox/cuda/type.py", line 69, in init
(self.class.name, dtype, name))
TypeError: CudaNdarrayType only supports dtype float32 for now. Tried using dtype int32 for variable None
ERROR:theano.gof.opt:Traceback (most recent call last):
File "/usr/local/lib/python2.7/dist-packages/theano/gof/opt.py", line 1493, in process_node
replacements = lopt.transform(node)
File "/usr/local/lib/python2.7/dist-packages/theano/sandbox/cuda/opt.py", line 460, in local_gpu_lazy_ifelse
outs[i] = gpu_from_host(outs[i])
File "/usr/local/lib/python2.7/dist-packages/theano/gof/op.py", line 507, in call
node = self.make_node(_inputs, *_kwargs)
File "/usr/local/lib/python2.7/dist-packages/theano/sandbox/cuda/basic_ops.py", line 133, in make_node
dtype=x.dtype)()])
File "/usr/local/lib/python2.7/dist-packages/theano/sandbox/cuda/type.py", line 69, in init
(self.class.name, dtype, name))
TypeError: CudaNdarrayType only supports dtype float32 for now. Tried using dtype int32 for variable None
<<!! BUG IN FGRAPH.REPLACE OR A LISTENER !!>> <type 'exceptions.TypeError'> ('The type of the replacement must be compatible with the type of the original Variable.', Sum{axis=[0], acc_dtype=float64}.0, HostFromGpu.0, TensorType(int32, vector), TensorType(float32, vector), 'local_gpu_careduce') local_gpu_careduce
ERROR (theano.gof.opt): Optimization failure due to: local_gpu_careduce
ERROR:theano.gof.opt:Optimization failure due to: local_gpu_careduce
ERROR (theano.gof.opt): TRACEBACK:
ERROR:theano.gof.opt:TRACEBACK:
ERROR (theano.gof.opt): Traceback (most recent call last):
File "/usr/local/lib/python2.7/dist-packages/theano/gof/opt.py", line 1527, in process_node
fgraph.replace_all_validate(repl_pairs, reason=lopt)
File "/usr/local/lib/python2.7/dist-packages/theano/gof/toolbox.py", line 259, in replace_all_validate
fgraph.replace(r, new_r, reason=reason, verbose=False)
File "/usr/local/lib/python2.7/dist-packages/theano/gof/fg.py", line 474, in replace
str(reason))
TypeError: ('The type of the replacement must be compatible with the type of the original Variable.', Sum{axis=[0], acc_dtype=float64}.0, HostFromGpu.0, TensorType(int32, vector), TensorType(float32, vector), 'local_gpu_careduce')
ERROR:theano.gof.opt:Traceback (most recent call last):
File "/usr/local/lib/python2.7/dist-packages/theano/gof/opt.py", line 1527, in process_node
fgraph.replace_all_validate(repl_pairs, reason=lopt)
File "/usr/local/lib/python2.7/dist-packages/theano/gof/toolbox.py", line 259, in replace_all_validate
fgraph.replace(r, new_r, reason=reason, verbose=False)
File "/usr/local/lib/python2.7/dist-packages/theano/gof/fg.py", line 474, in replace
str(reason))
TypeError: ('The type of the replacement must be compatible with the type of the original Variable.', Sum{axis=[0], acc_dtype=float64}.0, HostFromGpu.0, TensorType(int32, vector), TensorType(float32, vector), 'local_gpu_careduce')
ERROR (theano.gof.opt): Optimization failure due to: local_gpu_lazy_ifelse
ERROR:theano.gof.opt:Optimization failure due to: local_gpu_lazy_ifelse
ERROR (theano.gof.opt): TRACEBACK:
ERROR:theano.gof.opt:TRACEBACK:
ERROR (theano.gof.opt): Traceback (most recent call last):
File "/usr/local/lib/python2.7/dist-packages/theano/gof/opt.py", line 1493, in process_node
replacements = lopt.transform(node)
File "/usr/local/lib/python2.7/dist-packages/theano/sandbox/cuda/opt.py", line 460, in local_gpu_lazy_ifelse
outs[i] = gpu_from_host(outs[i])
File "/usr/local/lib/python2.7/dist-packages/theano/gof/op.py", line 507, in call
node = self.make_node(_inputs, *_kwargs)
File "/usr/local/lib/python2.7/dist-packages/theano/sandbox/cuda/basic_ops.py", line 133, in make_node
dtype=x.dtype)()])
File "/usr/local/lib/python2.7/dist-packages/theano/sandbox/cuda/type.py", line 69, in init
(self.class.name, dtype, name))
TypeError: CudaNdarrayType only supports dtype float32 for now. Tried using dtype int64 for variable None
ERROR:theano.gof.opt:Traceback (most recent call last):
File "/usr/local/lib/python2.7/dist-packages/theano/gof/opt.py", line 1493, in process_node
replacements = lopt.transform(node)
File "/usr/local/lib/python2.7/dist-packages/theano/sandbox/cuda/opt.py", line 460, in local_gpu_lazy_ifelse
outs[i] = gpu_from_host(outs[i])
File "/usr/local/lib/python2.7/dist-packages/theano/gof/op.py", line 507, in call
node = self.make_node(_inputs, *_kwargs)
File "/usr/local/lib/python2.7/dist-packages/theano/sandbox/cuda/basic_ops.py", line 133, in make_node
dtype=x.dtype)()])
File "/usr/local/lib/python2.7/dist-packages/theano/sandbox/cuda/type.py", line 69, in init
(self.class.name, dtype, name))
TypeError: CudaNdarrayType only supports dtype float32 for now. Tried using dtype int64 for variable None
ERROR (theano.gof.opt): Optimization failure due to: local_gpu_lazy_ifelse
ERROR:theano.gof.opt:Optimization failure due to: local_gpu_lazy_ifelse
ERROR (theano.gof.opt): TRACEBACK:
ERROR:theano.gof.opt:TRACEBACK:
ERROR (theano.gof.opt): Traceback (most recent call last):
File "/usr/local/lib/python2.7/dist-packages/theano/gof/opt.py", line 1493, in process_node
replacements = lopt.transform(node)
File "/usr/local/lib/python2.7/dist-packages/theano/sandbox/cuda/opt.py", line 460, in local_gpu_lazy_ifelse
outs[i] = gpu_from_host(outs[i])
File "/usr/local/lib/python2.7/dist-packages/theano/gof/op.py", line 507, in call
node = self.make_node(_inputs, *_kwargs)
File "/usr/local/lib/python2.7/dist-packages/theano/sandbox/cuda/basic_ops.py", line 133, in make_node
dtype=x.dtype)()])
File "/usr/local/lib/python2.7/dist-packages/theano/sandbox/cuda/type.py", line 69, in init
(self.class.name, dtype, name))
TypeError: CudaNdarrayType only supports dtype float32 for now. Tried using dtype int32 for variable None
ERROR:theano.gof.opt:Traceback (most recent call last):
File "/usr/local/lib/python2.7/dist-packages/theano/gof/opt.py", line 1493, in process_node
replacements = lopt.transform(node)
File "/usr/local/lib/python2.7/dist-packages/theano/sandbox/cuda/opt.py", line 460, in local_gpu_lazy_ifelse
outs[i] = gpu_from_host(outs[i])
File "/usr/local/lib/python2.7/dist-packages/theano/gof/op.py", line 507, in call
node = self.make_node(_inputs, *_kwargs)
File "/usr/local/lib/python2.7/dist-packages/theano/sandbox/cuda/basic_ops.py", line 133, in make_node
dtype=x.dtype)()])
File "/usr/local/lib/python2.7/dist-packages/theano/sandbox/cuda/type.py", line 69, in init
(self.class.name, dtype, name))
TypeError: CudaNdarrayType only supports dtype float32 for now. Tried using dtype int32 for variable None
<<!! BUG IN FGRAPH.REPLACE OR A LISTENER !!>> <type 'exceptions.TypeError'> ('The type of the replacement must be compatible with the type of the original Variable.', Sum{axis=[0], acc_dtype=float64}.0, HostFromGpu.0, TensorType(int32, vector), TensorType(float32, vector), 'local_gpu_careduce') local_gpu_careduce
ERROR (theano.gof.opt): Optimization failure due to: local_gpu_careduce
ERROR:theano.gof.opt:Optimization failure due to: local_gpu_careduce
ERROR (theano.gof.opt): TRACEBACK:
ERROR:theano.gof.opt:TRACEBACK:
ERROR (theano.gof.opt): Traceback (most recent call last):
File "/usr/local/lib/python2.7/dist-packages/theano/gof/opt.py", line 1527, in process_node
fgraph.replace_all_validate(repl_pairs, reason=lopt)
File "/usr/local/lib/python2.7/dist-packages/theano/gof/toolbox.py", line 259, in replace_all_validate
fgraph.replace(r, new_r, reason=reason, verbose=False)
File "/usr/local/lib/python2.7/dist-packages/theano/gof/fg.py", line 474, in replace
str(reason))
TypeError: ('The type of the replacement must be compatible with the type of the original Variable.', Sum{axis=[0], acc_dtype=float64}.0, HostFromGpu.0, TensorType(int32, vector), TensorType(float32, vector), 'local_gpu_careduce')
ERROR:theano.gof.opt:Traceback (most recent call last):
File "/usr/local/lib/python2.7/dist-packages/theano/gof/opt.py", line 1527, in process_node
fgraph.replace_all_validate(repl_pairs, reason=lopt)
File "/usr/local/lib/python2.7/dist-packages/theano/gof/toolbox.py", line 259, in replace_all_validate
fgraph.replace(r, new_r, reason=reason, verbose=False)
File "/usr/local/lib/python2.7/dist-packages/theano/gof/fg.py", line 474, in replace
str(reason))
TypeError: ('The type of the replacement must be compatible with the type of the original Variable.', Sum{axis=[0], acc_dtype=float64}.0, HostFromGpu.0, TensorType(int32, vector), TensorType(float32, vector), 'local_gpu_careduce')
ERROR (theano.gof.opt): Optimization failure due to: local_gpu_lazy_ifelse
ERROR:theano.gof.opt:Optimization failure due to: local_gpu_lazy_ifelse
ERROR (theano.gof.opt): TRACEBACK:
ERROR:theano.gof.opt:TRACEBACK:
ERROR (theano.gof.opt): Traceback (most recent call last):
File "/usr/local/lib/python2.7/dist-packages/theano/gof/opt.py", line 1493, in process_node
replacements = lopt.transform(node)
File "/usr/local/lib/python2.7/dist-packages/theano/sandbox/cuda/opt.py", line 460, in local_gpu_lazy_ifelse
outs[i] = gpu_from_host(outs[i])
File "/usr/local/lib/python2.7/dist-packages/theano/gof/op.py", line 507, in call
node = self.make_node(_inputs, *_kwargs)
File "/usr/local/lib/python2.7/dist-packages/theano/sandbox/cuda/basic_ops.py", line 133, in make_node
dtype=x.dtype)()])
File "/usr/local/lib/python2.7/dist-packages/theano/sandbox/cuda/type.py", line 69, in init
(self.class.name, dtype, name))
TypeError: CudaNdarrayType only supports dtype float32 for now. Tried using dtype int64 for variable None
ERROR:theano.gof.opt:Traceback (most recent call last):
File "/usr/local/lib/python2.7/dist-packages/theano/gof/opt.py", line 1493, in process_node
replacements = lopt.transform(node)
File "/usr/local/lib/python2.7/dist-packages/theano/sandbox/cuda/opt.py", line 460, in local_gpu_lazy_ifelse
outs[i] = gpu_from_host(outs[i])
File "/usr/local/lib/python2.7/dist-packages/theano/gof/op.py", line 507, in call
node = self.make_node(_inputs, *_kwargs)
File "/usr/local/lib/python2.7/dist-packages/theano/sandbox/cuda/basic_ops.py", line 133, in make_node
dtype=x.dtype)()])
File "/usr/local/lib/python2.7/dist-packages/theano/sandbox/cuda/type.py", line 69, in init
(self.class.name, dtype, name))
TypeError: CudaNdarrayType only supports dtype float32 for now. Tried using dtype int64 for variable None
ERROR (theano.gof.opt): Optimization failure due to: local_gpu_lazy_ifelse
ERROR:theano.gof.opt:Optimization failure due to: local_gpu_lazy_ifelse
ERROR (theano.gof.opt): TRACEBACK:
ERROR:theano.gof.opt:TRACEBACK:
ERROR (theano.gof.opt): Traceback (most recent call last):
File "/usr/local/lib/python2.7/dist-packages/theano/gof/opt.py", line 1493, in process_node
replacements = lopt.transform(node)
File "/usr/local/lib/python2.7/dist-packages/theano/sandbox/cuda/opt.py", line 460, in local_gpu_lazy_ifelse
outs[i] = gpu_from_host(outs[i])
File "/usr/local/lib/python2.7/dist-packages/theano/gof/op.py", line 507, in call
node = self.make_node(_inputs, *_kwargs)
File "/usr/local/lib/python2.7/dist-packages/theano/sandbox/cuda/basic_ops.py", line 133, in make_node
dtype=x.dtype)()])
File "/usr/local/lib/python2.7/dist-packages/theano/sandbox/cuda/type.py", line 69, in init
(self.class.name, dtype, name))
TypeError: CudaNdarrayType only supports dtype float32 for now. Tried using dtype int32 for variable None
ERROR:theano.gof.opt:Traceback (most recent call last):
File "/usr/local/lib/python2.7/dist-packages/theano/gof/opt.py", line 1493, in process_node
replacements = lopt.transform(node)
File "/usr/local/lib/python2.7/dist-packages/theano/sandbox/cuda/opt.py", line 460, in local_gpu_lazy_ifelse
outs[i] = gpu_from_host(outs[i])
File "/usr/local/lib/python2.7/dist-packages/theano/gof/op.py", line 507, in call
node = self.make_node(_inputs, *_kwargs)
File "/usr/local/lib/python2.7/dist-packages/theano/sandbox/cuda/basic_ops.py", line 133, in make_node
dtype=x.dtype)()])
File "/usr/local/lib/python2.7/dist-packages/theano/sandbox/cuda/type.py", line 69, in init
(self.class.name, dtype, name))
TypeError: CudaNdarrayType only supports dtype float32 for now. Tried using dtype int32 for variable None
<<!! BUG IN FGRAPH.REPLACE OR A LISTENER !!>> <type 'exceptions.TypeError'> ('The type of the replacement must be compatible with the type of the original Variable.', Sum{axis=[0], acc_dtype=float64}.0, HostFromGpu.0, TensorType(int32, vector), TensorType(float32, vector), 'local_gpu_careduce') local_gpu_careduce
ERROR (theano.gof.opt): Optimization failure due to: local_gpu_careduce
ERROR:theano.gof.opt:Optimization failure due to: local_gpu_careduce
ERROR (theano.gof.opt): TRACEBACK:
ERROR:theano.gof.opt:TRACEBACK:
ERROR (theano.gof.opt): Traceback (most recent call last):
File "/usr/local/lib/python2.7/dist-packages/theano/gof/opt.py", line 1527, in process_node
fgraph.replace_all_validate(repl_pairs, reason=lopt)
File "/usr/local/lib/python2.7/dist-packages/theano/gof/toolbox.py", line 259, in replace_all_validate
fgraph.replace(r, new_r, reason=reason, verbose=False)
File "/usr/local/lib/python2.7/dist-packages/theano/gof/fg.py", line 474, in replace
str(reason))
TypeError: ('The type of the replacement must be compatible with the type of the original Variable.', Sum{axis=[0], acc_dtype=float64}.0, HostFromGpu.0, TensorType(int32, vector), TensorType(float32, vector), 'local_gpu_careduce')
ERROR:theano.gof.opt:Traceback (most recent call last):
File "/usr/local/lib/python2.7/dist-packages/theano/gof/opt.py", line 1527, in process_node
fgraph.replace_all_validate(repl_pairs, reason=lopt)
File "/usr/local/lib/python2.7/dist-packages/theano/gof/toolbox.py", line 259, in replace_all_validate
fgraph.replace(r, new_r, reason=reason, verbose=False)
File "/usr/local/lib/python2.7/dist-packages/theano/gof/fg.py", line 474, in replace
str(reason))
TypeError: ('The type of the replacement must be compatible with the type of the original Variable.', Sum{axis=[0], acc_dtype=float64}.0, HostFromGpu.0, TensorType(int32, vector), TensorType(float32, vector), 'local_gpu_careduce')
ERROR (theano.gof.opt): Optimization failure due to: local_gpu_lazy_ifelse
ERROR:theano.gof.opt:Optimization failure due to: local_gpu_lazy_ifelse
ERROR (theano.gof.opt): TRACEBACK:
ERROR:theano.gof.opt:TRACEBACK:
ERROR (theano.gof.opt): Traceback (most recent call last):
File "/usr/local/lib/python2.7/dist-packages/theano/gof/opt.py", line 1493, in process_node
replacements = lopt.transform(node)
File "/usr/local/lib/python2.7/dist-packages/theano/sandbox/cuda/opt.py", line 460, in local_gpu_lazy_ifelse
outs[i] = gpu_from_host(outs[i])
File "/usr/local/lib/python2.7/dist-packages/theano/gof/op.py", line 507, in call
node = self.make_node(_inputs, *_kwargs)
File "/usr/local/lib/python2.7/dist-packages/theano/sandbox/cuda/basic_ops.py", line 133, in make_node
dtype=x.dtype)()])
File "/usr/local/lib/python2.7/dist-packages/theano/sandbox/cuda/type.py", line 69, in init
(self.class.name, dtype, name))
TypeError: CudaNdarrayType only supports dtype float32 for now. Tried using dtype int64 for variable None
ERROR:theano.gof.opt:Traceback (most recent call last):
File "/usr/local/lib/python2.7/dist-packages/theano/gof/opt.py", line 1493, in process_node
replacements = lopt.transform(node)
File "/usr/local/lib/python2.7/dist-packages/theano/sandbox/cuda/opt.py", line 460, in local_gpu_lazy_ifelse
outs[i] = gpu_from_host(outs[i])
File "/usr/local/lib/python2.7/dist-packages/theano/gof/op.py", line 507, in call
node = self.make_node(_inputs, *_kwargs)
File "/usr/local/lib/python2.7/dist-packages/theano/sandbox/cuda/basic_ops.py", line 133, in make_node
dtype=x.dtype)()])
File "/usr/local/lib/python2.7/dist-packages/theano/sandbox/cuda/type.py", line 69, in init
(self.class.name, dtype, name))
TypeError: CudaNdarrayType only supports dtype float32 for now. Tried using dtype int64 for variable None
ERROR (theano.gof.opt): Optimization failure due to: local_gpu_lazy_ifelse
ERROR:theano.gof.opt:Optimization failure due to: local_gpu_lazy_ifelse
ERROR (theano.gof.opt): TRACEBACK:
ERROR:theano.gof.opt:TRACEBACK:
ERROR (theano.gof.opt): Traceback (most recent call last):
File "/usr/local/lib/python2.7/dist-packages/theano/gof/opt.py", line 1493, in process_node
replacements = lopt.transform(node)
File "/usr/local/lib/python2.7/dist-packages/theano/sandbox/cuda/opt.py", line 460, in local_gpu_lazy_ifelse
outs[i] = gpu_from_host(outs[i])
File "/usr/local/lib/python2.7/dist-packages/theano/gof/op.py", line 507, in call
node = self.make_node(_inputs, *_kwargs)
File "/usr/local/lib/python2.7/dist-packages/theano/sandbox/cuda/basic_ops.py", line 133, in make_node
dtype=x.dtype)()])
File "/usr/local/lib/python2.7/dist-packages/theano/sandbox/cuda/type.py", line 69, in init
(self.class.name, dtype, name))
TypeError: CudaNdarrayType only supports dtype float32 for now. Tried using dtype int32 for variable None
ERROR:theano.gof.opt:Traceback (most recent call last):
File "/usr/local/lib/python2.7/dist-packages/theano/gof/opt.py", line 1493, in process_node
replacements = lopt.transform(node)
File "/usr/local/lib/python2.7/dist-packages/theano/sandbox/cuda/opt.py", line 460, in local_gpu_lazy_ifelse
outs[i] = gpu_from_host(outs[i])
File "/usr/local/lib/python2.7/dist-packages/theano/gof/op.py", line 507, in call
node = self.make_node(_inputs, *_kwargs)
File "/usr/local/lib/python2.7/dist-packages/theano/sandbox/cuda/basic_ops.py", line 133, in make_node
dtype=x.dtype)()])
File "/usr/local/lib/python2.7/dist-packages/theano/sandbox/cuda/type.py", line 69, in init
(self.class.name, dtype, name))
TypeError: CudaNdarrayType only supports dtype float32 for now. Tried using dtype int32 for variable None
<<!! BUG IN FGRAPH.REPLACE OR A LISTENER !!>> <type 'exceptions.TypeError'> ('The type of the replacement must be compatible with the type of the original Variable.', Sum{axis=[0], acc_dtype=float64}.0, HostFromGpu.0, TensorType(int32, vector), TensorType(float32, vector), 'local_gpu_careduce') local_gpu_careduce
ERROR (theano.gof.opt): Optimization failure due to: local_gpu_careduce
ERROR:theano.gof.opt:Optimization failure due to: local_gpu_careduce
ERROR (theano.gof.opt): TRACEBACK:
ERROR:theano.gof.opt:TRACEBACK:
ERROR (theano.gof.opt): Traceback (most recent call last):
File "/usr/local/lib/python2.7/dist-packages/theano/gof/opt.py", line 1527, in process_node
fgraph.replace_all_validate(repl_pairs, reason=lopt)
File "/usr/local/lib/python2.7/dist-packages/theano/gof/toolbox.py", line 259, in replace_all_validate
fgraph.replace(r, new_r, reason=reason, verbose=False)
File "/usr/local/lib/python2.7/dist-packages/theano/gof/fg.py", line 474, in replace
str(reason))
TypeError: ('The type of the replacement must be compatible with the type of the original Variable.', Sum{axis=[0], acc_dtype=float64}.0, HostFromGpu.0, TensorType(int32, vector), TensorType(float32, vector), 'local_gpu_careduce')
ERROR:theano.gof.opt:Traceback (most recent call last):
File "/usr/local/lib/python2.7/dist-packages/theano/gof/opt.py", line 1527, in process_node
fgraph.replace_all_validate(repl_pairs, reason=lopt)
File "/usr/local/lib/python2.7/dist-packages/theano/gof/toolbox.py", line 259, in replace_all_validate
fgraph.replace(r, new_r, reason=reason, verbose=False)
File "/usr/local/lib/python2.7/dist-packages/theano/gof/fg.py", line 474, in replace
str(reason))
TypeError: ('The type of the replacement must be compatible with the type of the original Variable.', Sum{axis=[0], acc_dtype=float64}.0, HostFromGpu.0, TensorType(int32, vector), TensorType(float32, vector), 'local_gpu_careduce')
ERROR (theano.gof.opt): Optimization failure due to: local_gpu_lazy_ifelse
ERROR:theano.gof.opt:Optimization failure due to: local_gpu_lazy_ifelse
ERROR (theano.gof.opt): TRACEBACK:
ERROR:theano.gof.opt:TRACEBACK:
ERROR (theano.gof.opt): Traceback (most recent call last):
File "/usr/local/lib/python2.7/dist-packages/theano/gof/opt.py", line 1493, in process_node
replacements = lopt.transform(node)
File "/usr/local/lib/python2.7/dist-packages/theano/sandbox/cuda/opt.py", line 460, in local_gpu_lazy_ifelse
outs[i] = gpu_from_host(outs[i])
File "/usr/local/lib/python2.7/dist-packages/theano/gof/op.py", line 507, in call
node = self.make_node(_inputs, *_kwargs)
File "/usr/local/lib/python2.7/dist-packages/theano/sandbox/cuda/basic_ops.py", line 133, in make_node
dtype=x.dtype)()])
File "/usr/local/lib/python2.7/dist-packages/theano/sandbox/cuda/type.py", line 69, in init
(self.class.name, dtype, name))
TypeError: CudaNdarrayType only supports dtype float32 for now. Tried using dtype int64 for variable None
ERROR:theano.gof.opt:Traceback (most recent call last):
File "/usr/local/lib/python2.7/dist-packages/theano/gof/opt.py", line 1493, in process_node
replacements = lopt.transform(node)
File "/usr/local/lib/python2.7/dist-packages/theano/sandbox/cuda/opt.py", line 460, in local_gpu_lazy_ifelse
outs[i] = gpu_from_host(outs[i])
File "/usr/local/lib/python2.7/dist-packages/theano/gof/op.py", line 507, in call
node = self.make_node(_inputs, *_kwargs)
File "/usr/local/lib/python2.7/dist-packages/theano/sandbox/cuda/basic_ops.py", line 133, in make_node
dtype=x.dtype)()])
File "/usr/local/lib/python2.7/dist-packages/theano/sandbox/cuda/type.py", line 69, in init
(self.class.name, dtype, name))
TypeError: CudaNdarrayType only supports dtype float32 for now. Tried using dtype int64 for variable None
ERROR (theano.gof.opt): Optimization failure due to: local_gpu_lazy_ifelse
ERROR:theano.gof.opt:Optimization failure due to: local_gpu_lazy_ifelse
ERROR (theano.gof.opt): TRACEBACK:
ERROR:theano.gof.opt:TRACEBACK:
ERROR (theano.gof.opt): Traceback (most recent call last):
File "/usr/local/lib/python2.7/dist-packages/theano/gof/opt.py", line 1493, in process_node
replacements = lopt.transform(node)
File "/usr/local/lib/python2.7/dist-packages/theano/sandbox/cuda/opt.py", line 460, in local_gpu_lazy_ifelse
outs[i] = gpu_from_host(outs[i])
File "/usr/local/lib/python2.7/dist-packages/theano/gof/op.py", line 507, in call
node = self.make_node(_inputs, *_kwargs)
File "/usr/local/lib/python2.7/dist-packages/theano/sandbox/cuda/basic_ops.py", line 133, in make_node
dtype=x.dtype)()])
File "/usr/local/lib/python2.7/dist-packages/theano/sandbox/cuda/type.py", line 69, in init
(self.class.name, dtype, name))
TypeError: CudaNdarrayType only supports dtype float32 for now. Tried using dtype int32 for variable None
ERROR:theano.gof.opt:Traceback (most recent call last):
File "/usr/local/lib/python2.7/dist-packages/theano/gof/opt.py", line 1493, in process_node
replacements = lopt.transform(node)
File "/usr/local/lib/python2.7/dist-packages/theano/sandbox/cuda/opt.py", line 460, in local_gpu_lazy_ifelse
outs[i] = gpu_from_host(outs[i])
File "/usr/local/lib/python2.7/dist-packages/theano/gof/op.py", line 507, in call
node = self.make_node(_inputs, *_kwargs)
File "/usr/local/lib/python2.7/dist-packages/theano/sandbox/cuda/basic_ops.py", line 133, in make_node
dtype=x.dtype)()])
File "/usr/local/lib/python2.7/dist-packages/theano/sandbox/cuda/type.py", line 69, in init
(self.class.name, dtype, name))
TypeError: CudaNdarrayType only supports dtype float32 for now. Tried using dtype int32 for variable None
<<!! BUG IN FGRAPH.REPLACE OR A LISTENER !!>> <type 'exceptions.TypeError'> ('The type of the replacement must be compatible with the type of the original Variable.', Sum{axis=[0], acc_dtype=float64}.0, HostFromGpu.0, TensorType(int32, vector), TensorType(float32, vector), 'local_gpu_careduce') local_gpu_careduce
ERROR (theano.gof.opt): Optimization failure due to: local_gpu_careduce
ERROR:theano.gof.opt:Optimization failure due to: local_gpu_careduce
ERROR (theano.gof.opt): TRACEBACK:
ERROR:theano.gof.opt:TRACEBACK:
ERROR (theano.gof.opt): Traceback (most recent call last):
File "/usr/local/lib/python2.7/dist-packages/theano/gof/opt.py", line 1527, in process_node
fgraph.replace_all_validate(repl_pairs, reason=lopt)
File "/usr/local/lib/python2.7/dist-packages/theano/gof/toolbox.py", line 259, in replace_all_validate
fgraph.replace(r, new_r, reason=reason, verbose=False)
File "/usr/local/lib/python2.7/dist-packages/theano/gof/fg.py", line 474, in replace
str(reason))
TypeError: ('The type of the replacement must be compatible with the type of the original Variable.', Sum{axis=[0], acc_dtype=float64}.0, HostFromGpu.0, TensorType(int32, vector), TensorType(float32, vector), 'local_gpu_careduce')
ERROR:theano.gof.opt:Traceback (most recent call last):
File "/usr/local/lib/python2.7/dist-packages/theano/gof/opt.py", line 1527, in process_node
fgraph.replace_all_validate(repl_pairs, reason=lopt)
File "/usr/local/lib/python2.7/dist-packages/theano/gof/toolbox.py", line 259, in replace_all_validate
fgraph.replace(r, new_r, reason=reason, verbose=False)
File "/usr/local/lib/python2.7/dist-packages/theano/gof/fg.py", line 474, in replace
str(reason))
TypeError: ('The type of the replacement must be compatible with the type of the original Variable.', Sum{axis=[0], acc_dtype=float64}.0, HostFromGpu.0, TensorType(int32, vector), TensorType(float32, vector), 'local_gpu_careduce')
ERROR (theano.gof.opt): Optimization failure due to: local_gpu_lazy_ifelse
ERROR:theano.gof.opt:Optimization failure due to: local_gpu_lazy_ifelse
ERROR (theano.gof.opt): TRACEBACK:
ERROR:theano.gof.opt:TRACEBACK:
ERROR (theano.gof.opt): Traceback (most recent call last):
File "/usr/local/lib/python2.7/dist-packages/theano/gof/opt.py", line 1493, in process_node
replacements = lopt.transform(node)
File "/usr/local/lib/python2.7/dist-packages/theano/sandbox/cuda/opt.py", line 460, in local_gpu_lazy_ifelse
outs[i] = gpu_from_host(outs[i])
File "/usr/local/lib/python2.7/dist-packages/theano/gof/op.py", line 507, in call
node = self.make_node(_inputs, *_kwargs)
File "/usr/local/lib/python2.7/dist-packages/theano/sandbox/cuda/basic_ops.py", line 133, in make_node
dtype=x.dtype)()])
File "/usr/local/lib/python2.7/dist-packages/theano/sandbox/cuda/type.py", line 69, in init
(self.class.name, dtype, name))
TypeError: CudaNdarrayType only supports dtype float32 for now. Tried using dtype int64 for variable None
ERROR:theano.gof.opt:Traceback (most recent call last):
File "/usr/local/lib/python2.7/dist-packages/theano/gof/opt.py", line 1493, in process_node
replacements = lopt.transform(node)
File "/usr/local/lib/python2.7/dist-packages/theano/sandbox/cuda/opt.py", line 460, in local_gpu_lazy_ifelse
outs[i] = gpu_from_host(outs[i])
File "/usr/local/lib/python2.7/dist-packages/theano/gof/op.py", line 507, in call
node = self.make_node(_inputs, *_kwargs)
File "/usr/local/lib/python2.7/dist-packages/theano/sandbox/cuda/basic_ops.py", line 133, in make_node
dtype=x.dtype)()])
File "/usr/local/lib/python2.7/dist-packages/theano/sandbox/cuda/type.py", line 69, in init
(self.class.name, dtype, name))
TypeError: CudaNdarrayType only supports dtype float32 for now. Tried using dtype int64 for variable None
<<!! BUG IN FGRAPH.REPLACE OR A LISTENER !!>> <type 'exceptions.TypeError'> ('The type of the replacement must be compatible with the type of the original Variable.', Sum{axis=[0], acc_dtype=float64}.0, HostFromGpu.0, TensorType(int32, vector), TensorType(float32, vector), 'local_gpu_careduce') local_gpu_careduce
ERROR (theano.gof.opt): Optimization failure due to: local_gpu_careduce
ERROR:theano.gof.opt:Optimization failure due to: local_gpu_careduce
ERROR (theano.gof.opt): TRACEBACK:
ERROR:theano.gof.opt:TRACEBACK:
ERROR (theano.gof.opt): Traceback (most recent call last):
File "/usr/local/lib/python2.7/dist-packages/theano/gof/opt.py", line 1527, in process_node
fgraph.replace_all_validate(repl_pairs, reason=lopt)
File "/usr/local/lib/python2.7/dist-packages/theano/gof/toolbox.py", line 259, in replace_all_validate
fgraph.replace(r, new_r, reason=reason, verbose=False)
File "/usr/local/lib/python2.7/dist-packages/theano/gof/fg.py", line 474, in replace
str(reason))
TypeError: ('The type of the replacement must be compatible with the type of the original Variable.', Sum{axis=[0], acc_dtype=float64}.0, HostFromGpu.0, TensorType(int32, vector), TensorType(float32, vector), 'local_gpu_careduce')
ERROR:theano.gof.opt:Traceback (most recent call last):
File "/usr/local/lib/python2.7/dist-packages/theano/gof/opt.py", line 1527, in process_node
fgraph.replace_all_validate(repl_pairs, reason=lopt)
File "/usr/local/lib/python2.7/dist-packages/theano/gof/toolbox.py", line 259, in replace_all_validate
fgraph.replace(r, new_r, reason=reason, verbose=False)
File "/usr/local/lib/python2.7/dist-packages/theano/gof/fg.py", line 474, in replace
str(reason))
TypeError: ('The type of the replacement must be compatible with the type of the original Variable.', Sum{axis=[0], acc_dtype=float64}.0, HostFromGpu.0, TensorType(int32, vector), TensorType(float32, vector), 'local_gpu_careduce')
ERROR (theano.gof.opt): Optimization failure due to: local_gpu_lazy_ifelse
ERROR:theano.gof.opt:Optimization failure due to: local_gpu_lazy_ifelse
ERROR (theano.gof.opt): TRACEBACK:
ERROR:theano.gof.opt:TRACEBACK:
ERROR (theano.gof.opt): Traceback (most recent call last):
File "/usr/local/lib/python2.7/dist-packages/theano/gof/opt.py", line 1493, in process_node
replacements = lopt.transform(node)
File "/usr/local/lib/python2.7/dist-packages/theano/sandbox/cuda/opt.py", line 460, in local_gpu_lazy_ifelse
outs[i] = gpu_from_host(outs[i])
File "/usr/local/lib/python2.7/dist-packages/theano/gof/op.py", line 507, in call
node = self.make_node(_inputs, *_kwargs)
File "/usr/local/lib/python2.7/dist-packages/theano/sandbox/cuda/basic_ops.py", line 133, in make_node
dtype=x.dtype)()])
File "/usr/local/lib/python2.7/dist-packages/theano/sandbox/cuda/type.py", line 69, in init
(self.class.name, dtype, name))
TypeError: CudaNdarrayType only supports dtype float32 for now. Tried using dtype int32 for variable None
ERROR:theano.gof.opt:Traceback (most recent call last):
File "/usr/local/lib/python2.7/dist-packages/theano/gof/opt.py", line 1493, in process_node
replacements = lopt.transform(node)
File "/usr/local/lib/python2.7/dist-packages/theano/sandbox/cuda/opt.py", line 460, in local_gpu_lazy_ifelse
outs[i] = gpu_from_host(outs[i])
File "/usr/local/lib/python2.7/dist-packages/theano/gof/op.py", line 507, in call
node = self.make_node(_inputs, *_kwargs)
File "/usr/local/lib/python2.7/dist-packages/theano/sandbox/cuda/basic_ops.py", line 133, in make_node
dtype=x.dtype)()])
File "/usr/local/lib/python2.7/dist-packages/theano/sandbox/cuda/type.py", line 69, in init
(self.class.name, dtype, name))
TypeError: CudaNdarrayType only supports dtype float32 for now. Tried using dtype int32 for variable None
<<!! BUG IN FGRAPH.REPLACE OR A LISTENER !!>> <type 'exceptions.TypeError'> ('The type of the replacement must be compatible with the type of the original Variable.', Sum{axis=[0], acc_dtype=float64}.0, HostFromGpu.0, TensorType(int32, vector), TensorType(float32, vector), 'local_gpu_careduce') local_gpu_careduce
ERROR (theano.gof.opt): Optimization failure due to: local_gpu_careduce
ERROR:theano.gof.opt:Optimization failure due to: local_gpu_careduce
ERROR (theano.gof.opt): TRACEBACK:
ERROR:theano.gof.opt:TRACEBACK:
ERROR (theano.gof.opt): Traceback (most recent call last):
File "/usr/local/lib/python2.7/dist-packages/theano/gof/opt.py", line 1527, in process_node
fgraph.replace_all_validate(repl_pairs, reason=lopt)
File "/usr/local/lib/python2.7/dist-packages/theano/gof/toolbox.py", line 259, in replace_all_validate
fgraph.replace(r, new_r, reason=reason, verbose=False)
File "/usr/local/lib/python2.7/dist-packages/theano/gof/fg.py", line 474, in replace
str(reason))
TypeError: ('The type of the replacement must be compatible with the type of the original Variable.', Sum{axis=[0], acc_dtype=float64}.0, HostFromGpu.0, TensorType(int32, vector), TensorType(float32, vector), 'local_gpu_careduce')
ERROR:theano.gof.opt:Traceback (most recent call last):
File "/usr/local/lib/python2.7/dist-packages/theano/gof/opt.py", line 1527, in process_node
fgraph.replace_all_validate(repl_pairs, reason=lopt)
File "/usr/local/lib/python2.7/dist-packages/theano/gof/toolbox.py", line 259, in replace_all_validate
fgraph.replace(r, new_r, reason=reason, verbose=False)
File "/usr/local/lib/python2.7/dist-packages/theano/gof/fg.py", line 474, in replace
str(reason))
TypeError: ('The type of the replacement must be compatible with the type of the original Variable.', Sum{axis=[0], acc_dtype=float64}.0, HostFromGpu.0, TensorType(int32, vector), TensorType(float32, vector), 'local_gpu_careduce')
ERROR (theano.gof.opt): Optimization failure due to: local_gpu_eye
ERROR:theano.gof.opt:Optimization failure due to: local_gpu_eye
ERROR (theano.gof.opt): TRACEBACK:
ERROR:theano.gof.opt:TRACEBACK:
ERROR (theano.gof.opt): Traceback (most recent call last):
File "/usr/local/lib/python2.7/dist-packages/theano/gof/opt.py", line 1493, in process_node
replacements = lopt.transform(node)
File "/usr/local/lib/python2.7/dist-packages/theano/sandbox/cuda/opt.py", line 1963, in local_gpu_eye
return [gpu_eye(_host_input.owner.inputs)]
File "/usr/local/lib/python2.7/dist-packages/theano/gof/op.py", line 507, in call
node = self.make_node(_inputs, **kwargs)
File "/usr/local/lib/python2.7/dist-packages/theano/sandbox/cuda/basic_ops.py", line 3715, in make_node
assert tensor.get_scalar_constant_value(k) == 0
AssertionError
ERROR:theano.gof.opt:Traceback (most recent call last):
File "/usr/local/lib/python2.7/dist-packages/theano/gof/opt.py", line 1493, in process_node
replacements = lopt.transform(node)
File "/usr/local/lib/python2.7/dist-packages/theano/sandbox/cuda/opt.py", line 1963, in local_gpu_eye
return [gpu_eye(_host_input.owner.inputs)]
File "/usr/local/lib/python2.7/dist-packages/theano/gof/op.py", line 507, in call
node = self.make_node(_inputs, **kwargs)
File "/usr/local/lib/python2.7/dist-packages/theano/sandbox/cuda/basic_ops.py", line 3715, in make_node
assert tensor.get_scalar_constant_value(k) == 0
AssertionError
ERROR:blocks.main_loop:Error occured during training.
Blocks will attempt to run on_error
extensions, potentially saving data, before exiting and reraising the error. Note that the usual after_training
extensions will not be run. The original error will be re-raised and also stored in the training log. Press CTRL + C to halt Blocks immediately.
Traceback (most recent call last):
File "test_ctc.py", line 135, in
main_loop.run()
File "/usr/local/lib/python2.7/dist-packages/blocks/main_loop.py", line 188, in run
reraise_as(e)
File "/usr/local/lib/python2.7/dist-packages/blocks/utils/init.py", line 225, in reraise_as
six.reraise(type(new_exc), new_exc, orig_exc_traceback)
File "/usr/local/lib/python2.7/dist-packages/blocks/main_loop.py", line 164, in run
self.algorithm.initialize()
File "/usr/local/lib/python2.7/dist-packages/blocks/algorithms/init.py", line 224, in initialize
self._function = theano.function(self.inputs, [], updates=all_updates)
File "/usr/local/lib/python2.7/dist-packages/theano/compile/function.py", line 266, in function
profile=profile)
File "/usr/local/lib/python2.7/dist-packages/theano/compile/pfunc.py", line 511, in pfunc
on_unused_input=on_unused_input)
File "/usr/local/lib/python2.7/dist-packages/theano/compile/function_module.py", line 1465, in orig_function
on_unused_input=on_unused_input).create(
File "/usr/local/lib/python2.7/dist-packages/theano/compile/function_module.py", line 1160, in init
optimizer_profile = optimizer(fgraph)
File "/usr/local/lib/python2.7/dist-packages/theano/gof/opt.py", line 90, in call
return self.optimize(fgraph)
File "/usr/local/lib/python2.7/dist-packages/theano/gof/opt.py", line 81, in optimize
ret = self.apply(fgraph, _args, *_kwargs)
File "/usr/local/lib/python2.7/dist-packages/theano/gof/opt.py", line 195, in apply
sub_prof = optimizer.optimize(fgraph)
File "/usr/local/lib/python2.7/dist-packages/theano/gof/opt.py", line 81, in optimize
ret = self.apply(fgraph, _args, *_kwargs)
File "/usr/local/lib/python2.7/dist-packages/theano/gof/opt.py", line 195, in apply
sub_prof = optimizer.optimize(fgraph)
File "/usr/local/lib/python2.7/dist-packages/theano/gof/opt.py", line 81, in optimize
ret = self.apply(fgraph, _args, *_kwargs)
File "/usr/local/lib/python2.7/dist-packages/theano/gof/opt.py", line 1837, in apply
lopt_change = self.process_node(fgraph, node, lopt)
File "/usr/local/lib/python2.7/dist-packages/theano/gof/opt.py", line 1498, in process_node
lopt)
File "/usr/local/lib/python2.7/dist-packages/theano/gof/opt.py", line 1396, in warn_inplace
return NavigatorOptimizer.warn(exc, nav, repl_pairs, local_opt)
File "/usr/local/lib/python2.7/dist-packages/theano/gof/opt.py", line 1386, in warn
raise exc
AssertionError:
Original exception:
AssertionError
ubgpu@ubgpu:~/github/CTC-Connectionist-Temporal-Classification$
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