ValueError: The initial value's shape (()) is not compatible with the explicitly supplied `shape` argument ([11, 11, 3, 96]).

[mikechen66]

I run the script of finetune.py in both TensorFlow 1.5 and TensorFlow 2.1. After solving many issues, I found out the shape incompatibility issue in the script of alexnet.py. Please help fix issue at your convenience. Appreciate your help in advance.

I get to know that there is the scope conflict between the shape and the conv argument. tf.variable_scope() usually defines global variables in the with context. It influences other related variables. For instance, shape= [filter_height, filter_width, input_channels//groups, num_filters], it denotes [11,11,3,96] in the Conv1; in contrast, Conv1 includes the arguments: 11, 11, 96, 4, 4.

1. Error Message

ValueError: The initial value's shape (()) is not compatible with the explicitly supplied shape argument ([11, 11, 3, 96]).

2. Attempted Changes

I tried to make the following changes.

1). Change the order of either the shape or the Conv1 arguments, for instance,
shape=[11,11,96,3]
or
conv(self.X, 11, 11, 4, 4, 96, name='conv1', padding='VALID')

2). Change the name of shape

kernel_shape= [filter_height, filter_width, input_channels//groups, num_filters]

3). Delete the shape and keep the argument.

[filter_height, filter_width, input_channels//groups, num_filters]

However, the following error varieties have still been persisted.

ValueError: The initial value's shape (()) is not compatible with the explicitly supplied shape argument ([11, 11, 3, 4]).

ValueError: Shapes must be equal rank, but are 4 and 0 for 'conv1/Variable/Assign' (op: 'Assign') with input shapes: [11,11,3,4], [].

ValueError: Shapes must be equal rank, but are 4 and 0 for 'conv1/Variable/Assign' (op: 'Assign') with input shapes: [11,11,3,96], [].

It is definitely the critical issue of "shape" in the second snippet. But I have not yet figured a way to solve the issues.

3. Snippets

1st snippet.

class AlexNet(object):
    .........
    def create(self):
        """Create the network graph."""
        # 1st Layer: Conv (w ReLu) -> Lrn -> Pool
        conv1 = conv(self.X, 11, 11, 4, 4, 96, name='conv1', padding='VALID')
        norm1 = lrn(conv1, 2, 2e-05, 0.75, name='norm1')
        pool1 = max_pool(norm1, 3, 3, 2, 2, name='pool1', padding='VALID')

2nd snippet:

def conv(x, filter_height, filter_width, stride_y, stride_x, num_filters, name,
    padding='SAME', groups=1):
    .........
    with tf.compat.v1.variable_scope(name) as scope:
        weights = tf.Variable('weights', shape=[filter_height, 
                                                                      filter_width, 
                                                                      input_channels//groups,
                                                                      num_filters])
        biases = tf.Variable('biases', shape=[num_filters])

4. Detailed error message

$ python finetune.py

Traceback (most recent call last):
File "finetune.py", line 91, in
model = AlexNet(x, keep_prob, num_classes, train_layers)
File "/home/mike/Documents/finetune_alexnet_with_tf/alexnet.py", line 56, in init
self.create()
File "/home/mike/Documents/finetune_alexnet_with_tf/alexnet.py", line 61, in create
conv1 = conv(self.X, 11, 11, 96, 4, 4, padding='VALID', name='conv1')
File "/home/mike/Documents/finetune_alexnet_with_tf/alexnet.py", line 147, in conv
num_filters])
File "/home/mike/miniconda3/lib/python3.7/site-packages/tensorflow_core/python/ops/variables.py", line 260, in call
return cls._variable_v2_call(*args, **kwargs)
File "/home/mike/miniconda3/lib/python3.7/site-packages/tensorflow_core/python/ops/variables.py", line 254, in _variable_v2_call
shape=shape)
File "/home/mike/miniconda3/lib/python3.7/site-packages/tensorflow_core/python/ops/variables.py", line 235, in
previous_getter = lambda **kws: default_variable_creator_v2(None, **kws)
File "/home/mike/miniconda3/lib/python3.7/site-packages/tensorflow_core/python/ops/variable_scope.py", line 2645, in default_variable_creator_v2
shape=shape)
File "/home/mike/miniconda3/lib/python3.7/site-packages/tensorflow_core/python/ops/variables.py", line 262, in call
return super(VariableMetaclass, cls).call(*args, **kwargs)
File "/home/mike/miniconda3/lib/python3.7/site-packages/tensorflow_core/python/ops/resource_variable_ops.py", line 1411, in init
distribute_strategy=distribute_strategy)
File "/home/mike/miniconda3/lib/python3.7/site-packages/tensorflow_core/python/ops/resource_variable_ops.py", line 1549, in _init_from_args
(initial_value.shape, shape))
ValueError: The initial value's shape (()) is not compatible with the explicitly supplied shape argument ([11, 11, 3, 96]).