f618ab4955
- assertEquals -> assertEqual - assertRaisesRegexp -> assertRegexpMatches - assertRegexpMatches -> assertRegex PiperOrigin-RevId: 319118081 Change-Id: Ieb457128522920ab55d6b69a7f244ab798a7d689
323 lines
8.4 KiB
Python
323 lines
8.4 KiB
Python
# Copyright 2017 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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"""Testing for updating TensorFlow lite schema."""
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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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import json
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import tempfile
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from tensorflow.lite.schema import upgrade_schema as upgrade_schema_lib
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from tensorflow.python.framework import test_util
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from tensorflow.python.platform import test as test_lib
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EMPTY_TEST_SCHEMA_V1 = {
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"version": 1,
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"operator_codes": [],
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"subgraphs": [],
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}
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EMPTY_TEST_SCHEMA_V3 = {
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"version": 3,
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"operator_codes": [],
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"subgraphs": [],
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"buffers": [{
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"data": []
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}]
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}
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TEST_SCHEMA_V0 = {
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"operator_codes": [],
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"tensors": [],
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"inputs": [],
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"outputs": [],
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"operators": [],
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"version": 0
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}
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TEST_SCHEMA_V3 = {
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"operator_codes": [],
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"buffers": [{
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"data": []
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}],
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"subgraphs": [{
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"tensors": [],
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"inputs": [],
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"outputs": [],
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"operators": [],
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}],
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"version":
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3
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}
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FULL_TEST_SCHEMA_V1 = {
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"version":
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1,
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"operator_codes": [
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{
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"builtin_code": "CONVOLUTION"
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},
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{
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"builtin_code": "DEPTHWISE_CONVOLUTION"
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},
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{
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"builtin_code": "AVERAGE_POOL"
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},
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{
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"builtin_code": "MAX_POOL"
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},
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{
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"builtin_code": "L2_POOL"
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},
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{
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"builtin_code": "SIGMOID"
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},
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{
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"builtin_code": "L2NORM"
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},
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{
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"builtin_code": "LOCAL_RESPONSE_NORM"
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},
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{
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"builtin_code": "ADD"
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},
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{
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"builtin_code": "Basic_RNN"
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},
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],
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"subgraphs": [{
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"operators": [
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{
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"builtin_options_type": "PoolOptions"
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},
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{
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"builtin_options_type": "DepthwiseConvolutionOptions"
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},
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{
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"builtin_options_type": "ConvolutionOptions"
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},
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{
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"builtin_options_type": "LocalResponseNormOptions"
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},
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{
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"builtin_options_type": "BasicRNNOptions"
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},
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],
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}],
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"description":
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"",
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}
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FULL_TEST_SCHEMA_V3 = {
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"version":
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3,
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"operator_codes": [
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{
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"builtin_code": "CONV_2D"
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},
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{
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"builtin_code": "DEPTHWISE_CONV_2D"
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},
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{
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"builtin_code": "AVERAGE_POOL_2D"
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},
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{
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"builtin_code": "MAX_POOL_2D"
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},
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{
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"builtin_code": "L2_POOL_2D"
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},
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{
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"builtin_code": "LOGISTIC"
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},
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{
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"builtin_code": "L2_NORMALIZATION"
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},
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{
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"builtin_code": "LOCAL_RESPONSE_NORMALIZATION"
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},
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{
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"builtin_code": "ADD"
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},
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{
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"builtin_code": "RNN"
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},
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],
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"subgraphs": [{
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"operators": [
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{
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"builtin_options_type": "Pool2DOptions"
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},
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{
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"builtin_options_type": "DepthwiseConv2DOptions"
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},
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{
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"builtin_options_type": "Conv2DOptions"
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},
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{
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"builtin_options_type": "LocalResponseNormalizationOptions"
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},
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{
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"builtin_options_type": "RNNOptions"
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},
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],
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}],
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"description":
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"",
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"buffers": [{
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"data": []
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}]
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}
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BUFFER_TEST_V2 = {
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"operator_codes": [],
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"buffers": [],
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"subgraphs": [{
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"tensors": [
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{
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"data_buffer": [1, 2, 3, 4]
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},
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{
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"data_buffer": [1, 2, 3, 4, 5, 6, 7, 8]
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},
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{
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"data_buffer": []
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},
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],
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"inputs": [],
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"outputs": [],
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"operators": [],
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}],
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"version":
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2
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}
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BUFFER_TEST_V3 = {
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"operator_codes": [],
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"subgraphs": [{
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"tensors": [
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{
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"buffer": 1
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},
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{
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"buffer": 2
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},
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{
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"buffer": 0
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},
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],
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"inputs": [],
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"outputs": [],
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"operators": [],
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}],
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"buffers": [
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{
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"data": []
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},
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{
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"data": [1, 2, 3, 4]
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},
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{
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"data": [1, 2, 3, 4, 5, 6, 7, 8]
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},
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],
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"version":
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3
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}
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def JsonDumpAndFlush(data, fp):
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"""Write the dictionary `data` to a JSON file `fp` (and flush).
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Args:
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data: in a dictionary that is JSON serializable.
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fp: File-like object
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"""
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json.dump(data, fp)
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fp.flush()
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class TestSchemaUpgrade(test_util.TensorFlowTestCase):
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def testNonExistentFile(self):
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converter = upgrade_schema_lib.Converter()
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non_existent = tempfile.mktemp(suffix=".json")
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with self.assertRaisesRegex(IOError, "No such file or directory"):
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converter.Convert(non_existent, non_existent)
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def testInvalidExtension(self):
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converter = upgrade_schema_lib.Converter()
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invalid_extension = tempfile.mktemp(suffix=".foo")
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with self.assertRaisesRegex(ValueError, "Invalid extension on input"):
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converter.Convert(invalid_extension, invalid_extension)
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with tempfile.NamedTemporaryFile(suffix=".json", mode="w+") as in_json:
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JsonDumpAndFlush(EMPTY_TEST_SCHEMA_V1, in_json)
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with self.assertRaisesRegex(ValueError, "Invalid extension on output"):
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converter.Convert(in_json.name, invalid_extension)
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def CheckConversion(self, data_old, data_expected):
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"""Given a data dictionary, test upgrading to current version.
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Args:
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data_old: TFLite model as a dictionary (arbitrary version).
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data_expected: TFLite model as a dictionary (upgraded).
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"""
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converter = upgrade_schema_lib.Converter()
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with tempfile.NamedTemporaryFile(suffix=".json", mode="w+") as in_json, \
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tempfile.NamedTemporaryFile(
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suffix=".json", mode="w+") as out_json, \
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tempfile.NamedTemporaryFile(
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suffix=".bin", mode="w+b") as out_bin, \
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tempfile.NamedTemporaryFile(
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suffix=".tflite", mode="w+b") as out_tflite:
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JsonDumpAndFlush(data_old, in_json)
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# Test JSON output
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converter.Convert(in_json.name, out_json.name)
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# Test binary output
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# Convert to .tflite and then to .bin and check if binary is equal
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converter.Convert(in_json.name, out_tflite.name)
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converter.Convert(out_tflite.name, out_bin.name)
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self.assertEqual(
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open(out_bin.name, "rb").read(),
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open(out_tflite.name, "rb").read())
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# Test that conversion actually produced successful new json.
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converted_schema = json.load(out_json)
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self.assertEqual(converted_schema, data_expected)
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def testAlreadyUpgraded(self):
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"""A file already at version 3 should stay at version 3."""
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self.CheckConversion(EMPTY_TEST_SCHEMA_V3, EMPTY_TEST_SCHEMA_V3)
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self.CheckConversion(TEST_SCHEMA_V3, TEST_SCHEMA_V3)
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self.CheckConversion(BUFFER_TEST_V3, BUFFER_TEST_V3)
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# Disable this while we have incorrectly versioned structures around.
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# def testV0Upgrade_IntroducesSubgraphs(self):
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# """V0 did not have subgraphs; check to make sure they get introduced."""
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# self.CheckConversion(TEST_SCHEMA_V0, TEST_SCHEMA_V3)
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def testV1Upgrade_RenameOps(self):
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"""V1 had many different names for ops; check to make sure they rename."""
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self.CheckConversion(EMPTY_TEST_SCHEMA_V1, EMPTY_TEST_SCHEMA_V3)
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self.CheckConversion(FULL_TEST_SCHEMA_V1, FULL_TEST_SCHEMA_V3)
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def testV2Upgrade_CreateBuffers(self):
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"""V2 did not have buffers; check to make sure they are created."""
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self.CheckConversion(BUFFER_TEST_V2, BUFFER_TEST_V3)
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if __name__ == "__main__":
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test_lib.main()
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