27 lines
1.2 KiB
Python
27 lines
1.2 KiB
Python
|
# /* ******************************************************************************
|
||
|
|
# *
|
||
|
|
# *
|
||
|
|
# * This program and the accompanying materials are made available under the
|
||
|
|
# * terms of the Apache License, Version 2.0 which is available at
|
||
|
|
# * https://www.apache.org/licenses/LICENSE-2.0.
|
||
|
|
# *
|
||
|
|
# * Unless required by applicable law or agreed to in writing, software
|
||
|
|
# * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
|
||
|
|
# * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
|
||
|
|
# * License for the specific language governing permissions and limitations
|
||
|
|
# * under the License.
|
||
|
|
# *
|
||
|
|
# * SPDX-License-Identifier: Apache-2.0
|
||
|
|
# ******************************************************************************/
|
||
|
|
|
||
|
|
import tensorflow as tf
|
||
|
|
from tensorflow.python.framework.convert_to_constants import convert_variables_to_constants_v2
|
||
|
|
|
||
|
|
def graph_as_func():
|
||
|
|
S = tf.Variable(tf.constant([1, 2, 3, 4]))
|
||
|
|
result = tf.scatter_add(S, [0], [10])
|
||
|
|
return result
|
||
|
|
a_function_that_uses_a_graph = tf.function(graph_as_func)
|
||
|
|
print(a_function_that_uses_a_graph.__attr__)
|
||
|
|
converted = convert_variables_to_constants_v2(a_function_that_uses_a_graph)
|
||
|
|
print(type(converted))
|