InvalidArgumentError

[conquistador3]

** init lr: 0.000200 decay_every_epoch: 100, lr_decay: 0.500000
Traceback (most recent call last):
File "C:\Users\RanjanNi\AppData\Local\Continuum\anaconda3\lib\site-packages\tensorflow\python\client\session.py", line 1322, in _do_call
return fn(*args)
File "C:\Users\RanjanNi\AppData\Local\Continuum\anaconda3\lib\site-packages\tensorflow\python\client\session.py", line 1307, in _run_fn
options, feed_dict, fetch_list, target_list, run_metadata)
File "C:\Users\RanjanNi\AppData\Local\Continuum\anaconda3\lib\site-packages\tensorflow\python\client\session.py", line 1409, in _call_tf_sessionrun
run_metadata)
tensorflow.python.framework.errors_impl.InvalidArgumentError: Inputs to operation gradients/AddN_55 of type _MklAddN must have the same size and shape. Input 0: [64,4,4,512] != input 1: [524288]
[[Node: gradients/AddN_55 = _MklAddN[N=2, T=DT_FLOAT, _kernel="MklOp", _device="/job:localhost/replica:0/task:0/device:CPU:0"](gradients/AddN_17, gradients/discriminator_1/d_h4_res/conv2d/Conv2D_grad/Conv2DBackpropInput, gradients/AddN_17:1, gradients/discriminator_1/d_h4_res/conv2d/Conv2D_grad/Conv2DBackpropInput:1, ^gradients/discriminator_1/d_h4_res/conv2d/Conv2D_grad/Conv2DBackpropFilter)]]

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
File "train_txt2im.py", line 451, in

File "train_txt2im.py", line 213, in main_train
t_wrong_caption : b_wrong_caption,
File "C:\Users\RanjanNi\AppData\Local\Continuum\anaconda3\lib\site-packages\tensorflow\python\client\session.py", line 900, in run
run_metadata_ptr)
File "C:\Users\RanjanNi\AppData\Local\Continuum\anaconda3\lib\site-packages\tensorflow\python\client\session.py", line 1135, in _run
feed_dict_tensor, options, run_metadata)
File "C:\Users\RanjanNi\AppData\Local\Continuum\anaconda3\lib\site-packages\tensorflow\python\client\session.py", line 1316, in _do_run
run_metadata)
File "C:\Users\RanjanNi\AppData\Local\Continuum\anaconda3\lib\site-packages\tensorflow\python\client\session.py", line 1335, in _do_call
raise type(e)(node_def, op, message)
tensorflow.python.framework.errors_impl.InvalidArgumentError: Inputs to operation gradients/AddN_55 of type _MklAddN must have the same size and shape. Input 0: [64,4,4,512] != input 1: [524288]
[[Node: gradients/AddN_55 = _MklAddN[N=2, T=DT_FLOAT, _kernel="MklOp", _device="/job:localhost/replica:0/task:0/device:CPU:0"](gradients/AddN_17, gradients/discriminator_1/d_h4_res/conv2d/Conv2D_grad/Conv2DBackpropInput, gradients/AddN_17:1, gradients/discriminator_1/d_h4_res/conv2d/Conv2D_grad/Conv2DBackpropInput:1, ^gradients/discriminator_1/d_h4_res/conv2d/Conv2D_grad/Conv2DBackpropFilter)]]

Caused by op 'gradients/AddN_55', defined at:
File "train_txt2im.py", line 451, in
File "train_txt2im.py", line 111, in main_train
with tf.variable_scope('learning_rate'):
File "C:\Users\RanjanNi\AppData\Local\Continuum\anaconda3\lib\site-packages\tensorflow\python\training\optimizer.py", line 399, in minimize
grad_loss=grad_loss)
File "C:\Users\RanjanNi\AppData\Local\Continuum\anaconda3\lib\site-packages\tensorflow\python\training\optimizer.py", line 511, in compute_gradients
colocate_gradients_with_ops=colocate_gradients_with_ops)
File "C:\Users\RanjanNi\AppData\Local\Continuum\anaconda3\lib\site-packages\tensorflow\python\ops\gradients_impl.py", line 532, in gradients
gate_gradients, aggregation_method, stop_gradients)
File "C:\Users\RanjanNi\AppData\Local\Continuum\anaconda3\lib\site-packages\tensorflow\python\ops\gradients_impl.py", line 633, in _GradientsHelper
aggregation_method)
File "C:\Users\RanjanNi\AppData\Local\Continuum\anaconda3\lib\site-packages\tensorflow\python\ops\gradients_impl.py", line 1005, in _AggregatedGrads
out_grads[i] = _MultiDeviceAddN(out_grad, gradient_uid)
File "C:\Users\RanjanNi\AppData\Local\Continuum\anaconda3\lib\site-packages\tensorflow\python\ops\gradients_impl.py", line 891, in _MultiDeviceAddN
summands.append(math_ops.add_n(tensors))
File "C:\Users\RanjanNi\AppData\Local\Continuum\anaconda3\lib\site-packages\tensorflow\python\ops\math_ops.py", line 2125, in add_n
return gen_math_ops.add_n(inputs, name=name)
File "C:\Users\RanjanNi\AppData\Local\Continuum\anaconda3\lib\site-packages\tensorflow\python\ops\gen_math_ops.py", line 368, in add_n
"AddN", inputs=inputs, name=name)
File "C:\Users\RanjanNi\AppData\Local\Continuum\anaconda3\lib\site-packages\tensorflow\python\framework\op_def_library.py", line 787, in _apply_op_helper
op_def=op_def)
File "C:\Users\RanjanNi\AppData\Local\Continuum\anaconda3\lib\site-packages\tensorflow\python\framework\ops.py", line 3414, in create_op
op_def=op_def)
File "C:\Users\RanjanNi\AppData\Local\Continuum\anaconda3\lib\site-packages\tensorflow\python\framework\ops.py", line 1740, in init
self._traceback = self._graph._extract_stack() # pylint: disable=protected-access

InvalidArgumentError (see above for traceback): Inputs to operation gradients/AddN_55 of type _MklAddN must have the same size and shape. Input 0: [64,4,4,512] != input 1: [524288]
[[Node: gradients/AddN_55 = _MklAddN[N=2, T=DT_FLOAT, _kernel="MklOp", _device="/job:localhost/replica:0/task:0/device:CPU:0"](gradients/AddN_17, gradients/discriminator_1/d_h4_res/conv2d/Conv2D_grad/Conv2DBackpropInput, gradients/AddN_17:1, gradients/discriminator_1/d_h4_res/conv2d/Conv2D_grad/Conv2DBackpropInput:1, ^gradients/discriminator_1/d_h4_res/conv2d/Conv2D_grad/Conv2DBackpropFilter)]]