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Initial API compatibility script for TF2.0. I am pretty much reusing …
…1.0 conversion script but passing V2 data. Also, remove code from tf_update.py which is also in ast_edits.py. PiperOrigin-RevId: 205887317
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
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| # Copyright 2018 The TensorFlow Authors. All Rights Reserved. | ||
| # | ||
| # Licensed under the Apache License, Version 2.0 (the "License"); | ||
| # you may not use this file except in compliance with the License. | ||
| # You may obtain a copy of the License at | ||
| # | ||
| # http://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. | ||
| # ============================================================================== | ||
| # pylint: disable=line-too-long | ||
| """List of renames to apply when converting from TF 1.0 to TF 2.0. | ||
| THIS FILE IS AUTOGENERATED: To update, please run: | ||
| bazel build tensorflow/tools/compatibility/update:generate_v2_renames_map | ||
| bazel-bin/tensorflow/tools/compatibility/update/generate_v2_renames_map | ||
| This file should be updated whenever endpoints are deprecated. | ||
| """ | ||
| from __future__ import absolute_import | ||
| from __future__ import division | ||
| from __future__ import print_function | ||
|
|
||
| renames = { | ||
| 'tf.acos': 'tf.math.acos', | ||
| 'tf.acosh': 'tf.math.acosh', | ||
| 'tf.add': 'tf.math.add', | ||
| 'tf.as_string': 'tf.dtypes.as_string', | ||
| 'tf.asin': 'tf.math.asin', | ||
| 'tf.asinh': 'tf.math.asinh', | ||
| 'tf.atan': 'tf.math.atan', | ||
| 'tf.atan2': 'tf.math.atan2', | ||
| 'tf.atanh': 'tf.math.atanh', | ||
| 'tf.batch_to_space_nd': 'tf.manip.batch_to_space_nd', | ||
| 'tf.betainc': 'tf.math.betainc', | ||
| 'tf.ceil': 'tf.math.ceil', | ||
| 'tf.check_numerics': 'tf.debugging.check_numerics', | ||
| 'tf.cholesky': 'tf.linalg.cholesky', | ||
| 'tf.cos': 'tf.math.cos', | ||
| 'tf.cosh': 'tf.math.cosh', | ||
| 'tf.cross': 'tf.linalg.cross', | ||
| 'tf.decode_base64': 'tf.io.decode_base64', | ||
| 'tf.decode_compressed': 'tf.io.decode_compressed', | ||
| 'tf.decode_json_example': 'tf.io.decode_json_example', | ||
| 'tf.decode_raw': 'tf.io.decode_raw', | ||
| 'tf.dequantize': 'tf.quantization.dequantize', | ||
| 'tf.diag': 'tf.linalg.tensor_diag', | ||
| 'tf.diag_part': 'tf.linalg.tensor_diag_part', | ||
| 'tf.digamma': 'tf.math.digamma', | ||
| 'tf.encode_base64': 'tf.io.encode_base64', | ||
| 'tf.equal': 'tf.math.equal', | ||
| 'tf.erfc': 'tf.math.erfc', | ||
| 'tf.exp': 'tf.math.exp', | ||
| 'tf.expm1': 'tf.math.expm1', | ||
| 'tf.extract_image_patches': 'tf.image.extract_image_patches', | ||
| 'tf.fake_quant_with_min_max_args': 'tf.quantization.fake_quant_with_min_max_args', | ||
| 'tf.fake_quant_with_min_max_args_gradient': 'tf.quantization.fake_quant_with_min_max_args_gradient', | ||
| 'tf.fake_quant_with_min_max_vars': 'tf.quantization.fake_quant_with_min_max_vars', | ||
| 'tf.fake_quant_with_min_max_vars_gradient': 'tf.quantization.fake_quant_with_min_max_vars_gradient', | ||
| 'tf.fake_quant_with_min_max_vars_per_channel': 'tf.quantization.fake_quant_with_min_max_vars_per_channel', | ||
| 'tf.fake_quant_with_min_max_vars_per_channel_gradient': 'tf.quantization.fake_quant_with_min_max_vars_per_channel_gradient', | ||
| 'tf.fft': 'tf.spectral.fft', | ||
| 'tf.floor': 'tf.math.floor', | ||
| 'tf.gather_nd': 'tf.manip.gather_nd', | ||
| 'tf.greater': 'tf.math.greater', | ||
| 'tf.greater_equal': 'tf.math.greater_equal', | ||
| 'tf.ifft': 'tf.spectral.ifft', | ||
| 'tf.igamma': 'tf.math.igamma', | ||
| 'tf.igammac': 'tf.math.igammac', | ||
| 'tf.invert_permutation': 'tf.math.invert_permutation', | ||
| 'tf.is_finite': 'tf.debugging.is_finite', | ||
| 'tf.is_inf': 'tf.debugging.is_inf', | ||
| 'tf.is_nan': 'tf.debugging.is_nan', | ||
| 'tf.less': 'tf.math.less', | ||
| 'tf.less_equal': 'tf.math.less_equal', | ||
| 'tf.lgamma': 'tf.math.lgamma', | ||
| 'tf.log': 'tf.math.log', | ||
| 'tf.log1p': 'tf.math.log1p', | ||
| 'tf.logical_and': 'tf.math.logical_and', | ||
| 'tf.logical_not': 'tf.math.logical_not', | ||
| 'tf.logical_or': 'tf.math.logical_or', | ||
| 'tf.matching_files': 'tf.io.matching_files', | ||
| 'tf.matrix_band_part': 'tf.linalg.band_part', | ||
| 'tf.matrix_determinant': 'tf.linalg.det', | ||
| 'tf.matrix_diag': 'tf.linalg.diag', | ||
| 'tf.matrix_diag_part': 'tf.linalg.diag_part', | ||
| 'tf.matrix_inverse': 'tf.linalg.inv', | ||
| 'tf.matrix_set_diag': 'tf.linalg.set_diag', | ||
| 'tf.matrix_solve': 'tf.linalg.solve', | ||
| 'tf.matrix_triangular_solve': 'tf.linalg.triangular_solve', | ||
| 'tf.maximum': 'tf.math.maximum', | ||
| 'tf.minimum': 'tf.math.minimum', | ||
| 'tf.not_equal': 'tf.math.not_equal', | ||
| 'tf.parse_tensor': 'tf.io.parse_tensor', | ||
| 'tf.polygamma': 'tf.math.polygamma', | ||
| 'tf.qr': 'tf.linalg.qr', | ||
| 'tf.quantized_concat': 'tf.quantization.quantized_concat', | ||
| 'tf.read_file': 'tf.io.read_file', | ||
| 'tf.reciprocal': 'tf.math.reciprocal', | ||
| 'tf.regex_replace': 'tf.strings.regex_replace', | ||
| 'tf.reshape': 'tf.manip.reshape', | ||
| 'tf.reverse': 'tf.manip.reverse', | ||
| 'tf.reverse_v2': 'tf.manip.reverse', | ||
| 'tf.rint': 'tf.math.rint', | ||
| 'tf.rsqrt': 'tf.math.rsqrt', | ||
| 'tf.scatter_nd': 'tf.manip.scatter_nd', | ||
| 'tf.segment_max': 'tf.math.segment_max', | ||
| 'tf.segment_mean': 'tf.math.segment_mean', | ||
| 'tf.segment_min': 'tf.math.segment_min', | ||
| 'tf.segment_prod': 'tf.math.segment_prod', | ||
| 'tf.segment_sum': 'tf.math.segment_sum', | ||
| 'tf.sin': 'tf.math.sin', | ||
| 'tf.sinh': 'tf.math.sinh', | ||
| 'tf.space_to_batch_nd': 'tf.manip.space_to_batch_nd', | ||
| 'tf.squared_difference': 'tf.math.squared_difference', | ||
| 'tf.string_join': 'tf.strings.join', | ||
| 'tf.string_strip': 'tf.strings.strip', | ||
| 'tf.string_to_hash_bucket': 'tf.strings.to_hash_bucket', | ||
| 'tf.string_to_hash_bucket_fast': 'tf.strings.to_hash_bucket_fast', | ||
| 'tf.string_to_hash_bucket_strong': 'tf.strings.to_hash_bucket_strong', | ||
| 'tf.string_to_number': 'tf.strings.to_number', | ||
| 'tf.substr': 'tf.strings.substr', | ||
| 'tf.tan': 'tf.math.tan', | ||
| 'tf.tile': 'tf.manip.tile', | ||
| 'tf.unsorted_segment_max': 'tf.math.unsorted_segment_max', | ||
| 'tf.unsorted_segment_min': 'tf.math.unsorted_segment_min', | ||
| 'tf.unsorted_segment_prod': 'tf.math.unsorted_segment_prod', | ||
| 'tf.unsorted_segment_sum': 'tf.math.unsorted_segment_sum', | ||
| 'tf.write_file': 'tf.io.write_file', | ||
| 'tf.zeta': 'tf.math.zeta' | ||
| } |
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tensorflow/tools/compatibility/testdata/test_file_v1_10.py
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| # Copyright 2018 The TensorFlow Authors. All Rights Reserved. | ||
| # | ||
| # Licensed under the Apache License, Version 2.0 (the "License"); | ||
| # you may not use this file except in compliance with the License. | ||
| # You may obtain a copy of the License at | ||
| # | ||
| # http://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. | ||
| # ============================================================================== | ||
| """Tests for tf upgrader.""" | ||
|
|
||
| from __future__ import absolute_import | ||
| from __future__ import division | ||
| from __future__ import print_function | ||
| import tensorflow as tf | ||
| from tensorflow.python.framework import test_util | ||
| from tensorflow.python.platform import test as test_lib | ||
|
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||
|
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| class TestUpgrade(test_util.TensorFlowTestCase): | ||
| """Test various APIs that have been changed in 2.0.""" | ||
|
|
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| def testRenames(self): | ||
| with self.test_session(): | ||
| self.assertAllClose(1.04719755, tf.acos(0.5).eval()) | ||
| self.assertAllClose(0.5, tf.rsqrt(4.0).eval()) | ||
|
|
||
| if __name__ == "__main__": | ||
| test_lib.main() |
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