ValueError: None values not supported.が出てきます。

##やりたいこと

tensorflowでニューラルネットワークを構築したい。

##発生している問題

tensorflowで任意の変数を指定する際にNoneを使うのですが、
Noneを使ったところ、

ValueError: None values not supported

が発生してしまいました。

##問題のコード

import tensorflow as tf

def weight(shape = []):
     initial = tf.truncated_nomal(shape, stddev = 0.01)
     return tf.Variable(initial)

def bias(dtype =tf.float32, shape = []):
     initial = tf.zeros(shape, dtype= dtype)
     return tf.Variable(initial)

P,Q=5,2

X = tf.placeholder(dtype = tf.float32, shape =[None, 0])
W = weight(shape = [Q,P])
b = bias(shape = [P])
f = tf.matmul(X ,W)+b

###使用環境

Ubuntu16.
python3.x
tensorflow 0.7.1

####追記

nomal→normalに訂正したところ、

>>> def weight(shape = []):
...      initial = tf.truncated_normal(shape, stddev = 0.01)
...      return tf.Variable(initial)
... 
>>> def bias(dtype =tf.float32, shape = []):
...      initial = tf.zeros(shape, dtype= dtype)
...      return tf.Variable(initial)
... 
>>> P,Q=5,2
>>> 
>>> X = tf.placeholder(dtype = tf.float32, shape =[None, 0])
>>> W = weight(shape = [Q,P])
>>> b = bias(shape = [P])
>>> f = tf.matmul(X ,W)+b
Traceback (most recent call last):
  File "/home/daisuke/.local/lib/python3.5/site-packages/tensorflow/python/framework/common_shapes.py", line 671, in _call_cpp_shape_fn_impl
    input_tensors_as_shapes, status)
  File "/usr/lib/python3.5/contextlib.py", line 66, in __exit__
    next(self.gen)
  File "/home/daisuke/.local/lib/python3.5/site-packages/tensorflow/python/framework/errors_impl.py", line 466, in raise_exception_on_not_ok_status
    pywrap_tensorflow.TF_GetCode(status))
tensorflow.python.framework.errors_impl.InvalidArgumentError: Dimensions must be equal, but are 0 and 2 for 'MatMul_1' (op: 'MatMul') with input shapes: [?,0], [2,5].

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
  File "<stdin>", line 1, in <module>
  File "/home/daisuke/.local/lib/python3.5/site-packages/tensorflow/python/ops/math_ops.py", line 1816, in matmul
    a, b, transpose_a=transpose_a, transpose_b=transpose_b, name=name)
  File "/home/daisuke/.local/lib/python3.5/site-packages/tensorflow/python/ops/gen_math_ops.py", line 1217, in _mat_mul
    transpose_b=transpose_b, name=name)
  File "/home/daisuke/.local/lib/python3.5/site-packages/tensorflow/python/framework/op_def_library.py", line 767, in apply_op
    op_def=op_def)
  File "/home/daisuke/.local/lib/python3.5/site-packages/tensorflow/python/framework/ops.py", line 2508, in create_op
    set_shapes_for_outputs(ret)
  File "/home/daisuke/.local/lib/python3.5/site-packages/tensorflow/python/framework/ops.py", line 1873, in set_shapes_for_outputs
    shapes = shape_func(op)
  File "/home/daisuke/.local/lib/python3.5/site-packages/tensorflow/python/framework/ops.py", line 1823, in call_with_requiring
    return call_cpp_shape_fn(op, require_shape_fn=True)
  File "/home/daisuke/.local/lib/python3.5/site-packages/tensorflow/python/framework/common_shapes.py", line 610, in call_cpp_shape_fn
    debug_python_shape_fn, require_shape_fn)
  File "/home/daisuke/.local/lib/python3.5/site-packages/tensorflow/python/framework/common_shapes.py", line 676, in _call_cpp_shape_fn_impl
    raise ValueError(err.message)
ValueError: Dimensions must be equal, but are 0 and 2 for 'MatMul_1' (op: 'MatMul') with input shapes: [?,0], [2,5].
>>>

とより複雑なエラーが出てきました・・・