| # Copyright 2019 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. |
| # ============================================================================== |
| """Serves as a common "main" function for all the SavedModel tests. |
| |
| There is a fair amount of setup needed to initialize tensorflow and get it |
| into a proper TF2 execution mode. This hides that boilerplate. |
| """ |
| |
| from __future__ import absolute_import |
| from __future__ import division |
| from __future__ import print_function |
| |
| import tempfile |
| from absl import app |
| from absl import flags |
| from absl import logging |
| import tensorflow.compat.v1 as tf |
| |
| from tensorflow.python import pywrap_mlir # pylint: disable=g-direct-tensorflow-import |
| |
| # Use /tmp to make debugging the tests easier (see README.md) |
| flags.DEFINE_string('save_model_path', '', 'Path to save the model to.') |
| FLAGS = flags.FLAGS |
| |
| |
| # This function needs to take a "create_module_fn", as opposed to just the |
| # module itself, because the creation of the module has to be delayed until |
| # after absl and tensorflow have run various initialization steps. |
| def do_test(signature_def_map, show_debug_info=False): |
| """Runs test. |
| |
| 1. Performs absl and tf "main"-like initialization that must run before almost |
| anything else. |
| 2. Converts signature_def_map to SavedModel V1 |
| 3. Converts SavedModel V1 to MLIR |
| 4. Prints the textual MLIR to stdout (it is expected that the caller will have |
| FileCheck checks in its file to check this output). |
| |
| This is only for use by the MLIR SavedModel importer tests. |
| |
| Args: |
| signature_def_map: A map from string key to signature_def. The key will be |
| used as function name in the resulting MLIR. |
| show_debug_info: If true, shows debug locations in the resulting MLIR. |
| """ |
| |
| # Make LOG(ERROR) in C++ code show up on the console. |
| # All `Status` passed around in the C++ API seem to eventually go into |
| # `LOG(ERROR)`, so this makes them print out by default. |
| logging.set_stderrthreshold('error') |
| |
| def app_main(argv): |
| """Function passed to absl.app.run.""" |
| if len(argv) > 1: |
| raise app.UsageError('Too many command-line arguments.') |
| if FLAGS.save_model_path: |
| save_model_path = FLAGS.save_model_path |
| else: |
| save_model_path = tempfile.mktemp(suffix='.saved_model') |
| |
| sess = tf.Session() |
| sess.run(tf.initializers.global_variables()) |
| builder = tf.saved_model.builder.SavedModelBuilder(save_model_path) |
| builder.add_meta_graph_and_variables( |
| sess, [tf.saved_model.tag_constants.SERVING], |
| signature_def_map, |
| strip_default_attrs=True) |
| builder.save() |
| |
| logging.info('Saved model to: %s', save_model_path) |
| mlir = pywrap_mlir.experimental_convert_saved_model_v1_to_mlir( |
| save_model_path, ','.join([tf.saved_model.tag_constants.SERVING]), |
| show_debug_info) |
| # We don't strictly need this, but it serves as a handy sanity check |
| # for that API, which is otherwise a bit annoying to test. |
| # The canonicalization shouldn't affect these tests in any way. |
| mlir = pywrap_mlir.experimental_run_pass_pipeline(mlir, |
| 'tf-standard-pipeline', |
| show_debug_info) |
| print(mlir) |
| |
| app.run(app_main) |