From merging shape 0 with other shapes. for 'concat/concat_dim' (op: 'Pack') with input shapes: [64,100], [64,256]

[krnk111]

/home/naveen/anaconda3/lib/python3.7/site-packages/dask/config.py:168: YAMLLoadWarning: calling yaml.load() without Loader=... is deprecated, as the default Loader is unsafe. Please read https://msg.pyyaml.org/load for full details.
data = yaml.load(f.read()) or {}
WARNING:tensorflow:From /home/naveen/anaconda3/lib/python3.7/site-packages/tensorflow_core/python/ops/resource_variable_ops.py:1630: calling BaseResourceVariable.init (from tensorflow.python.ops.resource_variable_ops) with constraint is deprecated and will be removed in a future version.
Instructions for updating:
If using Keras pass *_constraint arguments to layers.
(64, 256)
Traceback (most recent call last):
File "/home/naveen/anaconda3/lib/python3.7/site-packages/tensorflow_core/python/framework/ops.py", line 1610, in _create_c_op
c_op = c_api.TF_FinishOperation(op_desc)
tensorflow.python.framework.errors_impl.InvalidArgumentError: Dimension 1 in both shapes must be equal, but are 100 and 256. Shapes are [64,100] and [64,256].
From merging shape 0 with other shapes. for 'concat/concat_dim' (op: 'Pack') with input shapes: [64,100], [64,256].

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
File "/home/naveen/eclipse-workspace/text-to-image-master/train.py", line 238, in
main()
File "/home/naveen/eclipse-workspace/text-to-image-master/train.py", line 76, in main
input_tensors, variables, loss, outputs, checks = gan.build_model()
File "/home/naveen/eclipse-workspace/text-to-image-master/model.py", line 39, in build_model
fake_image = self.generator(t_z, t_real_caption)
File "/home/naveen/eclipse-workspace/text-to-image-master/model.py", line 141, in generator
z_concat = tf.concat(1, [t_z, reduced_text_embedding])
File "/home/naveen/anaconda3/lib/python3.7/site-packages/tensorflow_core/python/util/dispatch.py", line 180, in wrapper
return target(*args, **kwargs)
File "/home/naveen/anaconda3/lib/python3.7/site-packages/tensorflow_core/python/ops/array_ops.py", line 1427, in concat
ops.convert_to_tensor(axis, name="concat_dim",dtype=dtypes.int32).get_shape().assert_has_rank(0)
File "/home/naveen/anaconda3/lib/python3.7/site-packages/tensorflow_core/python/framework/ops.py", line 1184, in convert_to_tensor
return convert_to_tensor_v2(value, dtype, preferred_dtype, name)
File "/home/naveen/anaconda3/lib/python3.7/site-packages/tensorflow_core/python/framework/ops.py", line 1242, in convert_to_tensor_v2
as_ref=False)
File "/home/naveen/anaconda3/lib/python3.7/site-packages/tensorflow_core/python/framework/ops.py", line 1296, in internal_convert_to_tensor
ret = conversion_func(value, dtype=dtype, name=name, as_ref=as_ref)
File "/home/naveen/anaconda3/lib/python3.7/site-packages/tensorflow_core/python/ops/array_ops.py", line 1278, in _autopacking_conversion_function
return _autopacking_helper(v, dtype, name or "packed")
File "/home/naveen/anaconda3/lib/python3.7/site-packages/tensorflow_core/python/ops/array_ops.py", line 1214, in _autopacking_helper
return gen_array_ops.pack(elems_as_tensors, name=scope)
File "/home/naveen/anaconda3/lib/python3.7/site-packages/tensorflow_core/python/ops/gen_array_ops.py", line 6304, in pack
"Pack", values=values, axis=axis, name=name)
File "/home/naveen/anaconda3/lib/python3.7/site-packages/tensorflow_core/python/framework/op_def_library.py", line 793, in _apply_op_helper
op_def=op_def)
File "/home/naveen/anaconda3/lib/python3.7/site-packages/tensorflow_core/python/util/deprecation.py", line 507, in new_func
return func(*args, **kwargs)
File "/home/naveen/anaconda3/lib/python3.7/site-packages/tensorflow_core/python/framework/ops.py", line 3360, in create_op
attrs, op_def, compute_device)
File "/home/naveen/anaconda3/lib/python3.7/site-packages/tensorflow_core/python/framework/ops.py", line 3429, in _create_op_internal
op_def=op_def)
File "/home/naveen/anaconda3/lib/python3.7/site-packages/tensorflow_core/python/framework/ops.py", line 1773, in init
control_input_ops)
File "/home/naveen/anaconda3/lib/python3.7/site-packages/tensorflow_core/python/framework/ops.py", line 1613, in _create_c_op
raise ValueError(str(e))
ValueError: Dimension 1 in both shapes must be equal, but are 100 and 256. Shapes are [64,100] and [64,256].
From merging shape 0 with other shapes. for 'concat/concat_dim' (op: 'Pack') with input shapes: [64,100], [64,256].

[krnk111]

the above error msg i am getting when I am using default options for train.py.

if I change the "--z_dim" == 256, I am getting the following error,

/home/naveen/anaconda3/lib/python3.7/site-packages/dask/config.py:168: YAMLLoadWarning: calling yaml.load() without Loader=... is deprecated, as the default Loader is unsafe. Please read https://msg.pyyaml.org/load for full details.
data = yaml.load(f.read()) or {}
WARNING:tensorflow:From /home/naveen/anaconda3/lib/python3.7/site-packages/tensorflow_core/python/ops/resource_variable_ops.py:1630: calling BaseResourceVariable.init (from tensorflow.python.ops.resource_variable_ops) with constraint is deprecated and will be removed in a future version.
Instructions for updating:
If using Keras pass *_constraint arguments to layers.
(64, 256)
Traceback (most recent call last):
File "/home/naveen/eclipse-workspace/text-to-image-master/train.py", line 238, in
main()
File "/home/naveen/eclipse-workspace/text-to-image-master/train.py", line 76, in main
input_tensors, variables, loss, outputs, checks = gan.build_model()
File "/home/naveen/eclipse-workspace/text-to-image-master/model.py", line 39, in build_model
fake_image = self.generator(t_z, t_real_caption)
File "/home/naveen/eclipse-workspace/text-to-image-master/model.py", line 141, in generator
z_concat = tf.concat(1, [t_z, reduced_text_embedding])
File "/home/naveen/anaconda3/lib/python3.7/site-packages/tensorflow_core/python/util/dispatch.py", line 180, in wrapper
return target(*args, **kwargs)
File "/home/naveen/anaconda3/lib/python3.7/site-packages/tensorflow_core/python/ops/array_ops.py", line 1427, in concat
ops.convert_to_tensor(axis, name="concat_dim",dtype=dtypes.int32).get_shape().assert_has_rank(0)
File "/home/naveen/anaconda3/lib/python3.7/site-packages/tensorflow_core/python/framework/tensor_shape.py", line 995, in assert_has_rank
raise ValueError("Shape %s must have rank %d" % (self, rank))
ValueError: Shape (2, 64, 256) must have rank 0.

I request your help in this regard....

[jerryzz668]

I meet the same question, can somebody else fix this question