Thank you ! I will try it! 在 2017年11月16日星期四 UTC+8上午4:47:06，Pascal Lamblin写道： > > It looks like in the following line: > > ali_to_05[:,1:] - ali_to_05[:,:-1] > > you are subtracting Booleans from Booleans, which is not supported. > Maybe cast `ali_to_05` to int8? > > On 2017-11-15 09:03 AM, [email protected] <javascript:> wrote: > > I trained the model . But at last it output this error ? Can anyone > > help me? ,thankyou > > > > > ------------------------------------------------------------------------------- > > > > TRAINING HAS BEEN FINISHED: > > > ------------------------------------------------------------------------------- > > > > .。。。。。。 > > > > Traceback (most recent call last): > > File > > > "/nobackup/f1/asr/wulong/tensorflowEnv/attention-lvcsr-master/bin/run.py", > > line 154, in <module> > > getattr(lvsr.main, args.pop('func'))(config, **args) > > File > > > "/nobackup/f1/asr/wulong/tensorflowEnv/attention-lvcsr-master/lvsr/main.py", > > > line 920, in train_multistage > > stage_params, **kwargs) > > File > > > "/nobackup/f1/asr/wulong/tensorflowEnv/attention-lvcsr-master/lvsr/main.py", > > > line 693, in train > > load_log, fast_start) > > File > > > "/nobackup/f1/asr/wulong/tensorflowEnv/attention-lvcsr-master/lvsr/main.py", > > > line 325, in initialize_all > > batch=True, prediction=prediction, prediction_mask=prediction_mask) > > File > > > "/nobackup/f1/asr/wulong/tensorflowEnv/attention-lvcsr-master/lvsr/bricks/recognizer.py", > > > > line 445, in get_cost_graph > > **inputs) > > File > > > "/nobackup/f1/asr/wulong/tensorflowEnv/attention-lvcsr-master/libs/blocks/blocks/bricks/base.py", > > > > line 377, in __call__ > > return self.application.apply(self, *args, **kwargs) > > File > > > "/nobackup/f1/asr/wulong/tensorflowEnv/attention-lvcsr-master/libs/blocks/blocks/bricks/base.py", > > > > line 312, in apply > > outputs = self.application_function(brick, *args, **kwargs) > > File > > > "/nobackup/f1/asr/wulong/tensorflowEnv/attention-lvcsr-master/lvsr/bricks/recognizer.py", > > > > line 390, in cost > > attended=encoded, attended_mask=encoded_mask) > > File > > > "/nobackup/f1/asr/wulong/tensorflowEnv/attention-lvcsr-master/libs/blocks/blocks/bricks/base.py", > > > > line 377, in __call__ > > return self.application.apply(self, *args, **kwargs) > > File > > > "/nobackup/f1/asr/wulong/tensorflowEnv/attention-lvcsr-master/libs/blocks/blocks/bricks/base.py", > > > > line 312, in apply > > outputs = self.application_function(brick, *args, **kwargs) > > File > > > "/nobackup/f1/asr/wulong/tensorflowEnv/attention-lvcsr-master/libs/blocks/blocks/bricks/sequence_generators.py", > > > > line 326, in cost_matrix > > return self.evaluate(outputs, mask=mask, **kwargs)[0] > > File > > > "/nobackup/f1/asr/wulong/tensorflowEnv/attention-lvcsr-master/libs/blocks/blocks/bricks/base.py", > > > > line 377, in __call__ > > return self.application.apply(self, *args, **kwargs) > > File > > > "/nobackup/f1/asr/wulong/tensorflowEnv/attention-lvcsr-master/libs/blocks/blocks/bricks/base.py", > > > > line 312, in apply > > outputs = self.application_function(brick, *args, **kwargs) > > File > > > "/nobackup/f1/asr/wulong/tensorflowEnv/attention-lvcsr-master/libs/blocks/blocks/bricks/sequence_generators.py", > > > > line 269, in evaluate > > **dict_union(inputs, states, contexts)) > > File > > > "/nobackup/f1/asr/wulong/tensorflowEnv/attention-lvcsr-master/libs/blocks/blocks/bricks/base.py", > > > > line 377, in __call__ > > return self.application.apply(self, *args, **kwargs) > > File > > > "/nobackup/f1/asr/wulong/tensorflowEnv/attention-lvcsr-master/libs/blocks/blocks/bricks/base.py", > > > > line 312, in apply > > outputs = self.application_function(brick, *args, **kwargs) > > File > > > "/nobackup/f1/asr/wulong/tensorflowEnv/attention-lvcsr-master/libs/blocks/blocks/bricks/attention.py", > > > > line 738, in apply > > preprocessed_attended})) > > File > > > "/nobackup/f1/asr/wulong/tensorflowEnv/attention-lvcsr-master/libs/blocks/blocks/bricks/base.py", > > > > line 377, in __call__ > > return self.application.apply(self, *args, **kwargs) > > File > > > "/nobackup/f1/asr/wulong/tensorflowEnv/attention-lvcsr-master/libs/blocks/blocks/bricks/base.py", > > > > line 312, in apply > > outputs = self.application_function(brick, *args, **kwargs) > > File > > > "/nobackup/f1/asr/wulong/tensorflowEnv/attention-lvcsr-master/libs/blocks/blocks/bricks/recurrent.py", > > > > line 231, in recurrent_apply > > brick.name, application.application_name)) > > File > > > "/nobackup/f1/asr/wulong/tensorflowEnv/attention-lvcsr-master/libs/Theano/theano/scan_module/scan.py", > > > > line 773, in scan > > condition, outputs, updates = > > scan_utils.get_updates_and_outputs(fn(*args)) > > File > > > "/nobackup/f1/asr/wulong/tensorflowEnv/attention-lvcsr-master/libs/blocks/blocks/bricks/recurrent.py", > > > > line 213, in scan_function > > outputs = application(iterate=False, **kwargs) > > File > > > "/nobackup/f1/asr/wulong/tensorflowEnv/attention-lvcsr-master/libs/blocks/blocks/bricks/base.py", > > > > line 377, in __call__ > > return self.application.apply(self, *args, **kwargs) > > File > > > "/nobackup/f1/asr/wulong/tensorflowEnv/attention-lvcsr-master/libs/blocks/blocks/bricks/base.py", > > > > line 312, in apply > > outputs = self.application_function(brick, *args, **kwargs) > > File > > > "/nobackup/f1/asr/wulong/tensorflowEnv/attention-lvcsr-master/libs/blocks/blocks/bricks/recurrent.py", > > > > line 133, in recurrent_apply > > return application_function(brick, *args, **kwargs) > > File > > > "/nobackup/f1/asr/wulong/tensorflowEnv/attention-lvcsr-master/libs/blocks/blocks/bricks/attention.py", > > > > line 703, in do_apply > > self.preprocessed_attended_name: preprocessed_attended})) > > File > > > "/nobackup/f1/asr/wulong/tensorflowEnv/attention-lvcsr-master/libs/blocks/blocks/bricks/base.py", > > > > line 377, in __call__ > > return self.application.apply(self, *args, **kwargs) > > File > > > "/nobackup/f1/asr/wulong/tensorflowEnv/attention-lvcsr-master/libs/blocks/blocks/bricks/base.py", > > > > line 312, in apply > > outputs = self.application_function(brick, *args, **kwargs) > > File > > > "/nobackup/f1/asr/wulong/tensorflowEnv/attention-lvcsr-master/libs/blocks/blocks/bricks/attention.py", > > > > line 616, in take_glimpses > > **dict_union(states, glimpses_needed)) > > File > > > "/nobackup/f1/asr/wulong/tensorflowEnv/attention-lvcsr-master/libs/blocks/blocks/bricks/base.py", > > > > line 377, in __call__ > > return self.application.apply(self, *args, **kwargs) > > File > > > "/nobackup/f1/asr/wulong/tensorflowEnv/attention-lvcsr-master/libs/blocks/blocks/bricks/base.py", > > > > line 312, in apply > > outputs = self.application_function(brick, *args, **kwargs) > > File > > > "/nobackup/f1/asr/wulong/tensorflowEnv/attention-lvcsr-master/lvsr/bricks/attention.py", > > > > line 141, in take_glimpses > > ali_median_pos = ali_to_05[:,1:] - ali_to_05[:,:-1] > > File > > > "/nobackup/f1/asr/wulong/tensorflowEnv/attention-lvcsr-master/libs/Theano/theano/tensor/var.py", > > > > line 147, in __sub__ > > return theano.tensor.basic.sub(self, other) > > File > > > "/nobackup/f1/asr/wulong/tensorflowEnv/attention-lvcsr-master/libs/Theano/theano/gof/op.py", > > > > line 615, in __call__ > > node = self.make_node(*inputs, **kwargs) > > File > > > "/nobackup/f1/asr/wulong/tensorflowEnv/attention-lvcsr-master/libs/Theano/theano/tensor/elemwise.py", > > > > line 578, in make_node > > DimShuffle, *inputs) > > File > > > "/nobackup/f1/asr/wulong/tensorflowEnv/attention-lvcsr-master/libs/Theano/theano/tensor/elemwise.py", > > > > line 520, in get_output_info > > for i in inputs]) > > File > > > "/nobackup/f1/asr/wulong/tensorflowEnv/attention-lvcsr-master/libs/Theano/theano/scalar/basic.py", > > > > line 1041, in make_node > > for input in inputs])] > > File > > > "/nobackup/f1/asr/wulong/tensorflowEnv/attention-lvcsr-master/libs/Theano/theano/scalar/basic.py", > > > > line 1049, in output_types > > variables = self.output_types_preference(*types) > > File > > > "/nobackup/f1/asr/wulong/tensorflowEnv/attention-lvcsr-master/libs/Theano/theano/scalar/basic.py", > > > > line 842, in upcast_out_nobool > > raise TypeError("bool output not supported") > > TypeError: bool output not supported > > > > -- > > > > --- > > 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 [email protected] <javascript:> > > <mailto:[email protected] <javascript:>>. > > For more options, visit https://groups.google.com/d/optout. > > -- > Pascal Lamblin >
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