ed5ac6ab66
*Show 'jump to conversion log' near conversion summary. PiperOrigin-RevId: 278971390 Change-Id: I13c69403cff99791631e4496b3519c4d924d52d5
118 lines
4.6 KiB
Python
118 lines
4.6 KiB
Python
# Copyright 2018 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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"""Tests for gen_html.py."""
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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 os
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import shutil
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from tensorflow.lite.toco.logging import gen_html
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from tensorflow.lite.toco.logging import toco_conversion_log_pb2 as _toco_conversion_log_pb2
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from tensorflow.python.framework import test_util
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from tensorflow.python.lib.io import file_io as _file_io
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from tensorflow.python.platform import resource_loader
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from tensorflow.python.platform import test
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class GenHtmlTest(test_util.TensorFlowTestCase):
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def test_generate_html(self):
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toco_conversion_log_before = _toco_conversion_log_pb2.TocoConversionLog()
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toco_conversion_log_after = _toco_conversion_log_pb2.TocoConversionLog()
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toco_conversion_log_before.op_list.extend([
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"Conv1", "Conv2", "Identity", "Reshape", "Dense", "Dense", "CustomOp",
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"AvgPool3D", "Softmax"
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])
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toco_conversion_log_before.model_size = 9
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toco_conversion_log_after.op_list.extend([
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"Conv1", "Conv2", "Dense", "Dense", "CustomOp", "AvgPool3D", "Softmax"
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])
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toco_conversion_log_after.built_in_ops["Conv1"] = 1
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toco_conversion_log_after.built_in_ops["Conv2"] = 1
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toco_conversion_log_after.built_in_ops["Dense"] = 2
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toco_conversion_log_after.built_in_ops["Softmax"] = 1
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toco_conversion_log_after.custom_ops["CustomOp"] = 1
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toco_conversion_log_after.select_ops["AvgPool3D"] = 1
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toco_conversion_log_after.model_size = 7
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export_path = os.path.join(self.get_temp_dir(), "generated.html")
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html_generator = gen_html.HTMLGenerator(
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html_template_path=resource_loader.get_path_to_datafile(
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"template.html"),
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export_report_path=export_path)
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html_generator.generate(toco_conversion_log_before,
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toco_conversion_log_after, True,
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"digraph {a -> b}", "digraph {a -> b}", "",
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"/path/to/flatbuffer")
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with _file_io.FileIO(export_path, "r") as f_export, _file_io.FileIO(
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resource_loader.get_path_to_datafile("testdata/generated.html"),
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"r") as f_expect:
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expected = f_expect.read()
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exported = f_export.read()
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self.assertEqual(exported, expected)
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def test_gen_conversion_log_html(self):
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# Copies all required data files into a temporary folder for testing.
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export_path = self.get_temp_dir()
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toco_log_before_path = resource_loader.get_path_to_datafile(
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"testdata/toco_log_before.pb")
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toco_log_after_path = resource_loader.get_path_to_datafile(
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"testdata/toco_log_after.pb")
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dot_before = resource_loader.get_path_to_datafile(
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"testdata/toco_tf_graph.dot")
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dot_after = resource_loader.get_path_to_datafile(
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"testdata/toco_tflite_graph.dot")
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shutil.copy(toco_log_before_path, export_path)
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shutil.copy(toco_log_after_path, export_path)
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shutil.copy(dot_before, export_path)
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shutil.copy(dot_after, export_path)
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# Generate HTML content based on files in the test folder.
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gen_html.gen_conversion_log_html(export_path, True, "/path/to/flatbuffer")
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result_html = os.path.join(export_path, "toco_conversion_summary.html")
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with _file_io.FileIO(result_html, "r") as f_export, _file_io.FileIO(
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resource_loader.get_path_to_datafile("testdata/generated.html"),
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"r") as f_expect:
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expected = f_expect.read()
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exported = f_export.read()
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self.assertEqual(exported, expected)
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def test_get_input_type_from_signature(self):
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op_signatures = [
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("INPUT:[1,73,73,160]::float::[64,1,1,160]::float::[64]::float::"
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"OUTPUT:[1,73,73,64]::float::NAME:Conv::VERSION:1")
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]
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expect_input_types = [
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("shape:[1,73,73,160],type:float,shape:[64,1,1,160],type:float,"
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"shape:[64],type:float")
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]
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for i in range(len(op_signatures)):
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self.assertEqual(
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gen_html.get_input_type_from_signature(op_signatures[i]),
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expect_input_types[i])
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if __name__ == "__main__":
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test.main()
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