def Input(self, shape):
"""Builds an Input layer.
Overrides the Keras application Input layer with one that uses a
tf.placeholder_with_default instead of a tf.placeholder. This is necessary
to ensure the application works when run on a TPU.
Args:
shape: A tuple of integers representing the shape of the input, which
includes both spatial share and channels, but not the batch size.
Elements of this tuple can be None; 'None' elements represent dimensions
where the shape is not known.
Returns:
An input layer for the specified shape that internally uses a
placeholder_with_default.
"""
default_size = 224
default_batch_size = 1
shape = list(shape)
default_shape = [default_size if dim is None else dim for dim in shape]
input_tensor = tf.constant(0.0,
shape=[default_batch_size] + default_shape)
placeholder_with_default = tf.placeholder_with_default(
input=input_tensor, shape=[None] + shape)
return model_utils.input_layer(shape, placeholder_with_default)
def Input(self, shape):
"""Builds an Input layer.
Overrides the Keras application Input layer with one that uses a
tf.placeholder_with_default instead of a tf.placeholder. This is necessary
to ensure the application works when run on a TPU.
Args:
shape: The shape for the input layer to use. (Does not include a dimension
for the batch size).
Returns:
An input layer for the specified shape that internally uses a
placeholder_with_default.
"""
default_size = 224
default_batch_size = 1
shape = list(shape)
default_shape = [default_size if dim is None else dim for dim in shape]
input_tensor = tf.constant(0.0,
shape=[default_batch_size] + default_shape)
placeholder_with_default = tf.placeholder_with_default(
input=input_tensor, shape=[None] + shape)
return model_utils.input_layer(shape, placeholder_with_default)