def zeros(shape, dtype=None, name=None):
"""Instantiates an all-zeros variable and returns it.
Arguments:
shape: Tuple of integers, shape of returned Keras variable
dtype: String, data type of returned Keras variable
name: String, name of returned Keras variable
Returns:
A variable (including Keras metadata), filled with `0.0`.
Example:
```python
>>> from keras import backend as K
>>> kvar = K.zeros((3,4))
>>> K.eval(kvar)
array([[ 0., 0., 0., 0.],
[ 0., 0., 0., 0.],
[ 0., 0., 0., 0.]], dtype=float32)
"""
if dtype is None:
dtype = floatx()
shape = tuple(map(int, shape))
tf_dtype = _convert_string_dtype(dtype)
return variable(
init_ops.constant_initializer(0., dtype=tf_dtype)(shape), dtype, name)```
