Traceback (most recent call last):


 "t2t-trainer", line 83, in <module>

tf.app.run()


 "/home/agemagician/anaconda2/lib/python2.7/site-packages/tensorflow/python/platform/app.py", line 48, in run

_sys.exit(main(_sys.argv[:1] + flags_passthrough))


 "t2t-trainer", line 79, in main

schedule=FLAGS.schedule)


 "/home/agemagician/anaconda2/lib/python2.7/site-packages/tensor2tensor/utils/trainer_utils.py", line 246, in run

run_locally(exp_fn(output_dir))


 "/home/agemagician/anaconda2/lib/python2.7/site-packages/tensor2tensor/utils/trainer_utils.py", line 536, in run_locally

exp.train_and_evaluate()


 "/home/agemagician/anaconda2/lib/python2.7/site-packages/tensorflow/contrib/learn/python/learn/experiment.py", line 495, in train_and_evaluate

self.train(delay_secs=0)


 "/home/agemagician/anaconda2/lib/python2.7/site-packages/tensorflow/contrib/learn/python/learn/experiment.py", line 275, in train

hooks=self._train_monitors + extra_hooks)


 "/home/agemagician/anaconda2/lib/python2.7/site-packages/tensorflow/contrib/learn/python/learn/experiment.py", line 665, in _call_train

monitors=hooks)


 "/home/agemagician/anaconda2/lib/python2.7/site-packages/tensorflow/python/util/deprecation.py", line 289, in new_func

return func(*args, **kwargs)


 "/home/agemagician/anaconda2/lib/python2.7/site-packages/tensorflow/contrib/learn/python/learn/estimators/estimator.py", line 455, in fit

loss = self._train_model(input_fn=input_fn, hooks=hooks)


 "/home/agemagician/anaconda2/lib/python2.7/site-packages/tensorflow/contrib/learn/python/learn/estimators/estimator.py", line 955, in _train_model

model_fn_ops = self._get_train_ops(features, labels)


 "/home/agemagician/anaconda2/lib/python2.7/site-packages/tensorflow/contrib/learn/python/learn/estimators/estimator.py", line 1162, in _get_train_ops

return self._call_model_fn(features, labels, model_fn_lib.ModeKeys.TRAIN)


 "/home/agemagician/anaconda2/lib/python2.7/site-packages/tensorflow/contrib/learn/python/learn/estimators/estimator.py", line 1133, in _call_model_fn

model_fn_results = self._model_fn(features, labels, **kwargs)


 "/home/agemagician/anaconda2/lib/python2.7/site-packages/tensor2tensor/utils/trainer_utils.py", line 431, in model_fn

len(hparams.problems) - 1)


 "/home/agemagician/anaconda2/lib/python2.7/site-packages/tensor2tensor/utils/trainer_utils.py", line 750, in _cond_on_index

return fn(cur_idx)


 "/home/agemagician/anaconda2/lib/python2.7/site-packages/tensor2tensor/utils/trainer_utils.py", line 412, in nth_model

features, skip=(skipping_is_on and skip_this_one))


 "/home/agemagician/anaconda2/lib/python2.7/site-packages/tensor2tensor/utils/t2t_model.py", line 415, in model_fn

transformed_features)


 "/home/agemagician/anaconda2/lib/python2.7/site-packages/tensor2tensor/models/multimodel.py", line 104, in model_fn_body_sharded

inputs_mask, i)


 "/home/agemagician/anaconda2/lib/python2.7/site-packages/tensor2tensor/models/multimodel.py", line 64, in conv_experts

conv_out = dp(conv_res_step, xs, hparams, padding, mask)


 "/home/agemagician/anaconda2/lib/python2.7/site-packages/tensor2tensor/utils/expert_utils.py", line 294, in __call__

outputs.append(fns[i](*my_args[i], **my_kwargs[i]))


 "/home/agemagician/anaconda2/lib/python2.7/site-packages/tensor2tensor/models/multimodel.py", line 46, in conv_res_step

padding=padding, mask=mask, separabilities=0, name="residual2")


 "/home/agemagician/anaconda2/lib/python2.7/site-packages/tensor2tensor/models/common_layers.py", line 533, in subseparable_conv_block

dilation_rates_and_kernel_sizes, **kwargs)


 "/home/agemagician/anaconda2/lib/python2.7/site-packages/tensor2tensor/models/common_layers.py", line 510, in conv_block_internal

**kwargs)


 "/home/agemagician/anaconda2/lib/python2.7/site-packages/tensor2tensor/models/common_layers.py", line 383, in subseparable_conv

return conv_internal(conv_fn, inputs, filters, kernel_size, **kwargs)


 "/home/agemagician/anaconda2/lib/python2.7/site-packages/tensor2tensor/models/common_layers.py", line 331, in conv_internal

return conv2d_kernel(kernel_size, "single")


 "/home/agemagician/anaconda2/lib/python2.7/site-packages/tensor2tensor/models/common_layers.py", line 324, in conv2d_kernel

result = conv_fn(inputs, filters, kernel_size_arg, name=name, **kwargs)


 "/home/agemagician/anaconda2/lib/python2.7/site-packages/tensor2tensor/models/common_layers.py", line 378, in conv_fn

**kwargs)


 "/home/agemagician/anaconda2/lib/python2.7/site-packages/tensorflow/python/layers/convolutional.py", line 1019, in separable_conv2d

return layer.apply(inputs)


 "/home/agemagician/anaconda2/lib/python2.7/site-packages/tensorflow/python/layers/base.py", line 492, in apply

return self.__call__(inputs, *args, **kwargs)


 "/home/agemagician/anaconda2/lib/python2.7/site-packages/tensorflow/python/layers/base.py", line 441, in __call__

outputs = self.call(inputs, *args, **kwargs)


 "/home/agemagician/anaconda2/lib/python2.7/site-packages/tensorflow/python/layers/convolutional.py", line 883, in call

rate=self.dilation_rate)


 "/home/agemagician/anaconda2/lib/python2.7/site-packages/tensorflow/python/ops/nn_impl.py", line 486, in separable_conv2d

channel_multiplier * in_channels, out_channels))
ValueError: Refusing to perform an overparameterized separable convolution: channel_multiplier * in_channels = 1 * 2048 = 2048 > 512 = out_channels

Traceback (most recent call last):


 "<stdin>", line 1, in <module>
ValueError: shape mismatch: value array of shape (5,) could not be broadcast to indexing result of shape (1,5)
