Tensorflow, assign from a previously saved Tensor
I'm building some utility operations to a previously built Keras Model.
And I want to assign as the input Tensor my own operation, to the Keras Model input.
My Code:
sess = K.get_session()
model = build_model()
output_node_names = [node.op.name for node in model.outputs]
inputs_nodes_names = [node.op.name for node in model.inputs]
print('Building the Utility Operations and Adding to Graph')
image, resized_image = normalize_tensor()
input_node = sess.graph.get_tensor_by_name(inputs_nodes_names[0] + ':0')
input_node = tf.assign(input_node, resized_image)
But the Tensorflow gives me the following error:
AttributeError: 'Tensor' object has no attribute 'assign'
I Believe the input is being treated as an Immutable Tensor, any ideas how to work on this ?
Thanks!
python tensorflow keras
add a comment |
I'm building some utility operations to a previously built Keras Model.
And I want to assign as the input Tensor my own operation, to the Keras Model input.
My Code:
sess = K.get_session()
model = build_model()
output_node_names = [node.op.name for node in model.outputs]
inputs_nodes_names = [node.op.name for node in model.inputs]
print('Building the Utility Operations and Adding to Graph')
image, resized_image = normalize_tensor()
input_node = sess.graph.get_tensor_by_name(inputs_nodes_names[0] + ':0')
input_node = tf.assign(input_node, resized_image)
But the Tensorflow gives me the following error:
AttributeError: 'Tensor' object has no attribute 'assign'
I Believe the input is being treated as an Immutable Tensor, any ideas how to work on this ?
Thanks!
python tensorflow keras
add a comment |
I'm building some utility operations to a previously built Keras Model.
And I want to assign as the input Tensor my own operation, to the Keras Model input.
My Code:
sess = K.get_session()
model = build_model()
output_node_names = [node.op.name for node in model.outputs]
inputs_nodes_names = [node.op.name for node in model.inputs]
print('Building the Utility Operations and Adding to Graph')
image, resized_image = normalize_tensor()
input_node = sess.graph.get_tensor_by_name(inputs_nodes_names[0] + ':0')
input_node = tf.assign(input_node, resized_image)
But the Tensorflow gives me the following error:
AttributeError: 'Tensor' object has no attribute 'assign'
I Believe the input is being treated as an Immutable Tensor, any ideas how to work on this ?
Thanks!
python tensorflow keras
I'm building some utility operations to a previously built Keras Model.
And I want to assign as the input Tensor my own operation, to the Keras Model input.
My Code:
sess = K.get_session()
model = build_model()
output_node_names = [node.op.name for node in model.outputs]
inputs_nodes_names = [node.op.name for node in model.inputs]
print('Building the Utility Operations and Adding to Graph')
image, resized_image = normalize_tensor()
input_node = sess.graph.get_tensor_by_name(inputs_nodes_names[0] + ':0')
input_node = tf.assign(input_node, resized_image)
But the Tensorflow gives me the following error:
AttributeError: 'Tensor' object has no attribute 'assign'
I Believe the input is being treated as an Immutable Tensor, any ideas how to work on this ?
Thanks!
python tensorflow keras
python tensorflow keras
asked Nov 20 '18 at 19:24
RodsnjrRodsnjr
276
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