Traceback (most recent call last):


 "<input>", line 11, in <module>


 "/home/rcasero/.conda/envs/cytometer_tensorflow/lib/python3.6/site-packages/keras/engine/base_layer.py", line 459, in __call__

output = self.call(inputs, **kwargs)


 "/home/rcasero/.conda/envs/cytometer_tensorflow/lib/python3.6/site-packages/keras/layers/normalization.py", line 204, in call

training=training)


 "/home/rcasero/.conda/envs/cytometer_tensorflow/lib/python3.6/site-packages/keras/backend/tensorflow_backend.py", line 3069, in in_train_phase

x = switch(training, x, alt)


 "/home/rcasero/.conda/envs/cytometer_tensorflow/lib/python3.6/site-packages/keras/backend/tensorflow_backend.py", line 3004, in switch

else_expression_fn)


 "/home/rcasero/.conda/envs/cytometer_tensorflow/lib/python3.6/site-packages/tensorflow/python/util/deprecation.py", line 432, in new_func

return func(*args, **kwargs)


 "/home/rcasero/.conda/envs/cytometer_tensorflow/lib/python3.6/site-packages/tensorflow/python/ops/control_flow_ops.py", line 2072, in cond

orig_res_f, res_f = context_f.BuildCondBranch(false_fn)


 "/home/rcasero/.conda/envs/cytometer_tensorflow/lib/python3.6/site-packages/tensorflow/python/ops/control_flow_ops.py", line 1913, in BuildCondBranch

original_result = fn()


 "/home/rcasero/.conda/envs/cytometer_tensorflow/lib/python3.6/site-packages/keras/layers/normalization.py", line 165, in normalize_inference

epsilon=self.epsilon)


 "/home/rcasero/.conda/envs/cytometer_tensorflow/lib/python3.6/site-packages/keras/backend/tensorflow_backend.py", line 1894, in batch_normalization

is_training=False


 "/home/rcasero/.conda/envs/cytometer_tensorflow/lib/python3.6/site-packages/tensorflow/python/ops/nn_impl.py", line 904, in fused_batch_norm

name=name)


 "/home/rcasero/.conda/envs/cytometer_tensorflow/lib/python3.6/site-packages/tensorflow/python/ops/gen_nn_ops.py", line 3429, in _fused_batch_norm

is_training=is_training, name=name)


 "/home/rcasero/.conda/envs/cytometer_tensorflow/lib/python3.6/site-packages/tensorflow/python/framework/op_def_library.py", line 787, in _apply_op_helper

op_def=op_def)


 "/home/rcasero/.conda/envs/cytometer_tensorflow/lib/python3.6/site-packages/tensorflow/python/framework/ops.py", line 3392, in create_op

op_def=op_def)


 "/home/rcasero/.conda/envs/cytometer_tensorflow/lib/python3.6/site-packages/tensorflow/python/framework/ops.py", line 1734, in __init__

control_input_ops)


 "/home/rcasero/.conda/envs/cytometer_tensorflow/lib/python3.6/site-packages/tensorflow/python/framework/ops.py", line 1570, in _create_c_op

raise ValueError(str(e))
ValueError: Shape must be rank 1 but is rank 4 for 'batch_normalization_1/cond/FusedBatchNorm' (op: 'FusedBatchNorm') with input shapes: [?,64,1001,1001], [1,64,1,1], [1,64,1,1], [1,64,1,1], [1,64,1,1].

Traceback (most recent call last):


 "/home/cenhong/.local/bin/tfpb_tensorboard", line 11, in <module>

load_entry_point('doml', 'console_scripts', 'tfpb_tensorboard')()


 "/home/cenhong/do-ml/scripts/tfpb_tensorboard.py", line 33, in main

tfpb_tensorboard(args.input_path, args.log_path, 6006 if args.port is None else args.port)


 "/home/cenhong/do-ml/scripts/tfpb_tensorboard.py", line 18, in tfpb_tensorboard

g_in = tf.import_graph_def(graph_def)


 "/home/cenhong/.local/lib/python3.6/site-packages/tensorflow/python/util/deprecation.py", line 488, in new_func

return func(*args, **kwargs)


 "/home/cenhong/.local/lib/python3.6/site-packages/tensorflow/python/framework/importer.py", line 422, in import_graph_def

raise ValueError(str(e))
ValueError: Input 0 of node import/model/batchnorm/AssignMovingAvg was passed float from import/model/batchnorm//moving_mean:0 incompatible with expected float_ref.
