ValueError in Multibidder.ipynb

[matthew-mcateer]

When the final cell in the notebook is run, the following error comes up:

WARNING:tensorflow:From /content/utils_moe.py:487: The name tf.variable_scope is deprecated. Please use tf.compat.v1.variable_scope instead.

WARNING:tensorflow:From /content/utils_moe.py:489: The name tf.get_variable is deprecated. Please use tf.compat.v1.get_variable instead.

WARNING:tensorflow:From /content/utils_moe.py:499: to_float (from tensorflow.python.ops.math_ops) is deprecated and will be removed in a future version.
Instructions for updating:
Use `tf.cast` instead.
WARNING:tensorflow:From /content/utils_moe.py:501: The name tf.random_normal is deprecated. Please use tf.random.normal instead.

WARNING:tensorflow:
The TensorFlow contrib module will not be included in TensorFlow 2.0.
For more information, please see:
  * https://github.com/tensorflow/community/blob/master/rfcs/20180907-contrib-sunset.md
  * https://github.com/tensorflow/addons
  * https://github.com/tensorflow/io (for I/O related ops)
If you depend on functionality not listed there, please file an issue.

WARNING:tensorflow:From /usr/local/lib/python3.6/dist-packages/tensor2tensor/layers/common_layers.py:3413: The name tf.get_variable_scope is deprecated. Please use tf.compat.v1.get_variable_scope instead.

WARNING:tensorflow:From /content/utils_moe.py:504: The name tf.summary.histogram is deprecated. Please use tf.compat.v1.summary.histogram instead.

WARNING:tensorflow:From /content/utils_moe.py:386: to_int32 (from tensorflow.python.ops.math_ops) is deprecated and will be removed in a future version.
Instructions for updating:
Use `tf.cast` instead.
WARNING:tensorflow:From /content/utils_moe.py:249: div (from tensorflow.python.ops.math_ops) is deprecated and will be removed in a future version.
Instructions for updating:
Deprecated in favor of operator or tf.math.divide.
WARNING:tensorflow:From /content/utils_moe.py:250: The name tf.unsorted_segment_sum is deprecated. Please use tf.math.unsorted_segment_sum instead.

WARNING:tensorflow:From /content/utils_moe.py:846: where (from tensorflow.python.ops.array_ops) is deprecated and will be removed in a future version.
Instructions for updating:
Use tf.where in 2.0, which has the same broadcast rule as np.where
---------------------------------------------------------------------------
InvalidArgumentError                      Traceback (most recent call last)
/usr/local/lib/python3.6/dist-packages/tensorflow_core/python/framework/ops.py in _create_c_op(graph, node_def, inputs, control_inputs)
   1606   try:
-> 1607     c_op = c_api.TF_FinishOperation(op_desc)
   1608   except errors.InvalidArgumentError as e:

InvalidArgumentError: Dimension 0 in both shapes must be equal, but are 4 and 1. Shapes are [4] and [1].
	From merging shape 0 with other shapes. for 'Slice/input' (op: 'Pack') with input shapes: [4], [1].

During handling of the above exception, another exception occurred:

ValueError                                Traceback (most recent call last)
27 frames
/usr/local/lib/python3.6/dist-packages/tensorflow_core/python/framework/op_def_library.py in _apply_op_helper(self, op_type_name, name, **keywords)
    527                 as_ref=input_arg.is_ref,
--> 528                 preferred_dtype=default_dtype)
    529           except TypeError as err:

/usr/local/lib/python3.6/dist-packages/tensorflow_core/python/framework/ops.py in internal_convert_to_tensor(value, dtype, name, as_ref, preferred_dtype, ctx, accepted_result_types)
   1296     if ret is None:
-> 1297       ret = conversion_func(value, dtype=dtype, name=name, as_ref=as_ref)
   1298 

/usr/local/lib/python3.6/dist-packages/tensorflow_core/python/ops/array_ops.py in _autopacking_conversion_function(v, dtype, name, as_ref)
   1266     v = nest.map_structure(_cast_nested_seqs_to_dtype(dtype), v)
-> 1267   return _autopacking_helper(v, dtype, name or "packed")
   1268 

/usr/local/lib/python3.6/dist-packages/tensorflow_core/python/ops/array_ops.py in _autopacking_helper(list_or_tuple, dtype, name)
   1202               constant_op.constant(elem, dtype=dtype, name=str(i)))
-> 1203       return gen_array_ops.pack(elems_as_tensors, name=scope)
   1204     else:

/usr/local/lib/python3.6/dist-packages/tensorflow_core/python/ops/gen_array_ops.py in pack(values, axis, name)
   6302   _, _, _op = _op_def_lib._apply_op_helper(
-> 6303         "Pack", values=values, axis=axis, name=name)
   6304   _result = _op.outputs[:]

/usr/local/lib/python3.6/dist-packages/tensorflow_core/python/framework/op_def_library.py in _apply_op_helper(self, op_type_name, name, **keywords)
    793                          input_types=input_types, attrs=attr_protos,
--> 794                          op_def=op_def)
    795 

/usr/local/lib/python3.6/dist-packages/tensorflow_core/python/util/deprecation.py in new_func(*args, **kwargs)
    506                 instructions)
--> 507       return func(*args, **kwargs)
    508 

/usr/local/lib/python3.6/dist-packages/tensorflow_core/python/framework/ops.py in create_op(***failed resolving arguments***)
   3356     return self._create_op_internal(op_type, inputs, dtypes, input_types, name,
-> 3357                                     attrs, op_def, compute_device)
   3358 

/usr/local/lib/python3.6/dist-packages/tensorflow_core/python/framework/ops.py in _create_op_internal(self, op_type, inputs, dtypes, input_types, name, attrs, op_def, compute_device)
   3425           original_op=self._default_original_op,
-> 3426           op_def=op_def)
   3427       self._create_op_helper(ret, compute_device=compute_device)

/usr/local/lib/python3.6/dist-packages/tensorflow_core/python/framework/ops.py in __init__(self, node_def, g, inputs, output_types, control_inputs, input_types, original_op, op_def)
   1769       self._c_op = _create_c_op(self._graph, node_def, grouped_inputs,
-> 1770                                 control_input_ops)
   1771     # pylint: enable=protected-access

/usr/local/lib/python3.6/dist-packages/tensorflow_core/python/framework/ops.py in _create_c_op(graph, node_def, inputs, control_inputs)
   1609     # Convert to ValueError for backwards compatibility.
-> 1610     raise ValueError(str(e))
   1611 

ValueError: Dimension 0 in both shapes must be equal, but are 4 and 1. Shapes are [4] and [1].
	From merging shape 0 with other shapes. for 'Slice/input' (op: 'Pack') with input shapes: [4], [1].

During handling of the above exception, another exception occurred:

InvalidArgumentError                      Traceback (most recent call last)
/usr/local/lib/python3.6/dist-packages/tensorflow_core/python/framework/ops.py in _create_c_op(graph, node_def, inputs, control_inputs)
   1606   try:
-> 1607     c_op = c_api.TF_FinishOperation(op_desc)
   1608   except errors.InvalidArgumentError as e:

InvalidArgumentError: Dimension 0 in both shapes must be equal, but are 4 and 1. Shapes are [4] and [1].
	From merging shape 0 with other shapes. for 'Slice/packed' (op: 'Pack') with input shapes: [4], [1].

During handling of the above exception, another exception occurred:

ValueError                                Traceback (most recent call last)
/usr/local/lib/python3.6/dist-packages/tensorflow_core/python/framework/op_def_library.py in _apply_op_helper(self, op_type_name, name, **keywords)
    541               observed = ops.internal_convert_to_tensor(
--> 542                   values, as_ref=input_arg.is_ref).dtype.name
    543             except ValueError as err:

/usr/local/lib/python3.6/dist-packages/tensorflow_core/python/framework/ops.py in internal_convert_to_tensor(value, dtype, name, as_ref, preferred_dtype, ctx, accepted_result_types)
   1296     if ret is None:
-> 1297       ret = conversion_func(value, dtype=dtype, name=name, as_ref=as_ref)
   1298 

/usr/local/lib/python3.6/dist-packages/tensorflow_core/python/ops/array_ops.py in _autopacking_conversion_function(v, dtype, name, as_ref)
   1266     v = nest.map_structure(_cast_nested_seqs_to_dtype(dtype), v)
-> 1267   return _autopacking_helper(v, dtype, name or "packed")
   1268 

/usr/local/lib/python3.6/dist-packages/tensorflow_core/python/ops/array_ops.py in _autopacking_helper(list_or_tuple, dtype, name)
   1202               constant_op.constant(elem, dtype=dtype, name=str(i)))
-> 1203       return gen_array_ops.pack(elems_as_tensors, name=scope)
   1204     else:

/usr/local/lib/python3.6/dist-packages/tensorflow_core/python/ops/gen_array_ops.py in pack(values, axis, name)
   6302   _, _, _op = _op_def_lib._apply_op_helper(
-> 6303         "Pack", values=values, axis=axis, name=name)
   6304   _result = _op.outputs[:]

/usr/local/lib/python3.6/dist-packages/tensorflow_core/python/framework/op_def_library.py in _apply_op_helper(self, op_type_name, name, **keywords)
    793                          input_types=input_types, attrs=attr_protos,
--> 794                          op_def=op_def)
    795 

/usr/local/lib/python3.6/dist-packages/tensorflow_core/python/util/deprecation.py in new_func(*args, **kwargs)
    506                 instructions)
--> 507       return func(*args, **kwargs)
    508 

/usr/local/lib/python3.6/dist-packages/tensorflow_core/python/framework/ops.py in create_op(***failed resolving arguments***)
   3356     return self._create_op_internal(op_type, inputs, dtypes, input_types, name,
-> 3357                                     attrs, op_def, compute_device)
   3358 

/usr/local/lib/python3.6/dist-packages/tensorflow_core/python/framework/ops.py in _create_op_internal(self, op_type, inputs, dtypes, input_types, name, attrs, op_def, compute_device)
   3425           original_op=self._default_original_op,
-> 3426           op_def=op_def)
   3427       self._create_op_helper(ret, compute_device=compute_device)

/usr/local/lib/python3.6/dist-packages/tensorflow_core/python/framework/ops.py in __init__(self, node_def, g, inputs, output_types, control_inputs, input_types, original_op, op_def)
   1769       self._c_op = _create_c_op(self._graph, node_def, grouped_inputs,
-> 1770                                 control_input_ops)
   1771     # pylint: enable=protected-access

/usr/local/lib/python3.6/dist-packages/tensorflow_core/python/framework/ops.py in _create_c_op(graph, node_def, inputs, control_inputs)
   1609     # Convert to ValueError for backwards compatibility.
-> 1610     raise ValueError(str(e))
   1611 

ValueError: Dimension 0 in both shapes must be equal, but are 4 and 1. Shapes are [4] and [1].
	From merging shape 0 with other shapes. for 'Slice/packed' (op: 'Pack') with input shapes: [4], [1].

During handling of the above exception, another exception occurred:

ValueError                                Traceback (most recent call last)
<ipython-input-5-62d2bca779d9> in <module>()
     18 session = tf.Session(graph=graph)
     19 with graph.as_default():
---> 20     train_step, metrics = model_fn(hparams)
     21     session.run(tf.global_variables_initializer())
     22 

<ipython-input-4-f3fe435f58fc> in model_fn(hparams)
     26         weights = tf.linalg.normalize(tf.concat([self_weight, importance], axis=0))
     27 
---> 28         revenue = tf.slice(weights, [0], [1])
     29 
     30         # Save references.

/usr/local/lib/python3.6/dist-packages/tensorflow_core/python/ops/array_ops.py in slice(input_, begin, size, name)
    853     A `Tensor` the same type as `input_`.
    854   """
--> 855   return gen_array_ops._slice(input_, begin, size, name=name)
    856 
    857 

/usr/local/lib/python3.6/dist-packages/tensorflow_core/python/ops/gen_array_ops.py in _slice(input, begin, size, name)
   9220   # Add nodes to the TensorFlow graph.
   9221   _, _, _op = _op_def_lib._apply_op_helper(
-> 9222         "Slice", input=input, begin=begin, size=size, name=name)
   9223   _result = _op.outputs[:]
   9224   _inputs_flat = _op.inputs

/usr/local/lib/python3.6/dist-packages/tensorflow_core/python/framework/op_def_library.py in _apply_op_helper(self, op_type_name, name, **keywords)
    544               raise ValueError(
    545                   "Tried to convert '%s' to a tensor and failed. Error: %s" %
--> 546                   (input_name, err))
    547             prefix = ("Input '%s' of '%s' Op has type %s that does not match" %
    548                       (input_name, op_type_name, observed))

ValueError: Tried to convert 'input' to a tensor and failed. Error: Dimension 0 in both shapes must be equal, but are 4 and 1. Shapes are [4] and [1].
	From merging shape 0 with other shapes. for 'Slice/packed' (op: 'Pack') with input shapes: [4], [1].