ab953ab8c5
Usage:
converter = tf.lite.TFLiteConverter.from_keras_model(model)
converter.target_spec.supported_ops = [
tf.lite.OpsSet.TFLITE_BUILTINS, tf.lite.OpsSet.SELECT_TF_OPS
]
converter.target_spec.select_user_tf_ops = ["UserTFOpname1", "UserTFOpname2"]
PiperOrigin-RevId: 344001319
Change-Id: If414841bd7456ba8856df3630e94d991fc050319
43 lines
1.7 KiB
Python
43 lines
1.7 KiB
Python
# Copyright 2020 The TensorFlow Authors. All Rights Reserved.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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# ==============================================================================
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"""Functions used by multiple tflite test files."""
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from __future__ import absolute_import
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from __future__ import division
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from __future__ import print_function
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from tensorflow.lite.python import schema_py_generated as schema_fb
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from tensorflow.lite.python import schema_util
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from tensorflow.lite.tools import visualize
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def get_ops_list(model_data):
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"""Return a set of ops in the tflite model data."""
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model = schema_fb.Model.GetRootAsModel(model_data, 0)
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op_set = set()
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for subgraph_idx in range(model.SubgraphsLength()):
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subgraph = model.Subgraphs(subgraph_idx)
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for op_idx in range(subgraph.OperatorsLength()):
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op = subgraph.Operators(op_idx)
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opcode = model.OperatorCodes(op.OpcodeIndex())
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builtin_code = schema_util.get_builtin_code_from_operator_code(opcode)
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if builtin_code == schema_fb.BuiltinOperator.CUSTOM:
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opname = opcode.CustomCode().decode("utf-8")
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op_set.add(opname)
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else:
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op_set.add(visualize.BuiltinCodeToName(builtin_code))
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return op_set
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