1# Copyright 2015 The TensorFlow Authors. All Rights Reserved. 2# 3# Licensed under the Apache License, Version 2.0 (the "License"); 4# you may not use this file except in compliance with the License. 5# You may obtain a copy of the License at 6# 7# http://www.apache.org/licenses/LICENSE-2.0 8# 9# Unless required by applicable law or agreed to in writing, software 10# distributed under the License is distributed on an "AS IS" BASIS, 11# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. 12# See the License for the specific language governing permissions and 13# limitations under the License. 14# ============================================================================== 15"""Extending CheckpointReader for TensorFlow.""" 16from tensorflow.python.framework import dtypes 17from tensorflow.python.framework import errors_impl 18from tensorflow.python.util import compat 19from tensorflow.python.util._pywrap_checkpoint_reader import CheckpointReader 20from tensorflow.python.util.tf_export import tf_export 21 22 23def error_translator(e): 24 """Translate the tensor_slice_reader.cc errors.""" 25 # TODO(b/143319754): Remove the RuntimeError casting logic once we resolve the 26 # issue with throwing python exceptions from C++. 27 error_message = str(e) 28 if 'not found in checkpoint' in error_message or ( 29 'Failed to find any ' 30 'matching files for') in error_message: 31 raise errors_impl.NotFoundError(None, None, error_message) 32 elif 'Sliced checkpoints are not supported' in error_message or ( 33 'Data type ' 34 'not ' 35 'supported') in error_message: 36 raise errors_impl.UnimplementedError(None, None, error_message) 37 elif 'Failed to get matching files on' in error_message: 38 raise errors_impl.InvalidArgumentError(None, None, error_message) 39 elif 'Unable to open table file' in error_message: 40 raise errors_impl.DataLossError(None, None, error_message) 41 elif 'Failed to find the saved tensor slices' in error_message or ( 42 'not convertible to numpy dtype' in error_message): 43 raise errors_impl.InternalError(None, None, error_message) 44 else: 45 raise errors_impl.OpError(None, None, error_message, errors_impl.UNKNOWN) 46 47 48def get_variable_to_dtype_map(self): 49 return { 50 name: dtypes.DType(type_enum) 51 for name, type_enum in self._GetVariableToDataTypeMap().items() # pylint: disable=protected-access 52 } 53 54CheckpointReader.get_variable_to_dtype_map = get_variable_to_dtype_map 55 56 57def has_tensor(self, tensor_str): 58 return self._HasTensor(compat.as_bytes(tensor_str)) # pylint: disable=protected-access 59 60CheckpointReader.has_tensor = has_tensor 61 62 63def get_tensor(self, tensor_str): 64 """Get the tensor from the Checkpoint object.""" 65 try: 66 return CheckpointReader.CheckpointReader_GetTensor( 67 self, compat.as_bytes(tensor_str)) 68 # TODO(b/143319754): Remove the RuntimeError casting logic once we resolve the 69 # issue with throwing python exceptions from C++. 70 except RuntimeError as e: 71 error_translator(e) 72 73 74CheckpointReader.get_tensor = get_tensor 75 76 77# Disable invalid name to keep backwards compatibility with that function. 78# It was previously exported from py_checkpoint_reader.i which did not conform 79# to pylint checks. 80# pylint: disable=invalid-name 81@tf_export(v1=['train.NewCheckpointReader']) 82def NewCheckpointReader(filepattern): 83 """A function that returns a CheckPointReader. 84 85 Args: 86 filepattern: The filename. 87 88 Returns: 89 A CheckpointReader object. 90 """ 91 try: 92 return CheckpointReader(compat.as_bytes(filepattern)) 93 # TODO(b/143319754): Remove the RuntimeError casting logic once we resolve the 94 # issue with throwing python exceptions from C++. 95 except RuntimeError as e: 96 error_translator(e) 97