/external/tensorflow/tensorflow/lite/python/ |
D | convert_saved_model_test.py | 122 saved_model_dir = os.path.join(self.get_temp_dir(), "simple_savedmodel") 128 saved_model.simple_save(sess, saved_model_dir, inputs, outputs) 129 return saved_model_dir 133 saved_model_dir = os.path.join(self.get_temp_dir(), "simple_savedmodel") 142 saved_model.simple_save(sess, saved_model_dir, inputs, outputs) 143 return saved_model_dir 161 saved_model_dir, argument 172 saved_model_dir=saved_model_dir, 182 saved_model_dir = self._createSimpleSavedModel(shape=[1, 16, 16, 3]) 183 _, in_tensors, out_tensors = self._convertSavedModel(saved_model_dir) [all …]
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D | convert_saved_model.py | 47 def get_meta_graph_def(saved_model_dir, tag_set): argument 61 return loader.load(sess, tag_set, saved_model_dir) 222 def freeze_saved_model(saved_model_dir, input_arrays, input_shapes, argument 253 meta_graph = get_meta_graph_def(saved_model_dir, tag_set) 264 loader.load(sess, meta_graph.meta_info_def.tags, saved_model_dir)
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D | lite_test.py | 883 saved_model_dir = os.path.join(self.get_temp_dir(), 'simple_savedmodel') 892 saved_model.simple_save(sess, saved_model_dir, inputs, outputs) 893 return saved_model_dir 897 saved_model_dir = self._createSavedModel(shape=[1, 16, 16, 3]) 900 converter = lite.TFLiteConverter.from_saved_model(saved_model_dir) 928 saved_model_dir = self._createSavedModel(shape=[None, 16, 16, 3]) 930 converter = lite.TFLiteConverter.from_saved_model(saved_model_dir) 959 saved_model_dir = self._createSavedModel(shape=[1, 16, 16, 3]) 962 saved_model_dir, input_arrays=['inputB', 'inputA']) 991 saved_model_dir = self._createSavedModel(shape=[1, 16, 16, 3]) [all …]
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D | lite.py | 567 saved_model_dir, argument 598 result = _freeze_saved_model(saved_model_dir, input_arrays, input_shapes, 846 saved_model_dir, argument 853 return TFLiteConverter.from_saved_model(saved_model_dir, input_arrays,
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D | tflite_convert.py | 98 elif flags.saved_model_dir: 100 converter_kwargs["saved_model_dir"] = flags.saved_model_dir
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/external/tensorflow/tensorflow/python/tools/ |
D | saved_model_utils.py | 31 def read_saved_model(saved_model_dir): argument 45 compat.as_bytes(saved_model_dir), 49 compat.as_bytes(saved_model_dir), 55 raise IOError("SavedModel file does not exist at: %s" % saved_model_dir) 75 (saved_model_dir, constants.SAVED_MODEL_FILENAME_PBTXT, 79 def get_saved_model_tag_sets(saved_model_dir): argument 88 saved_model = read_saved_model(saved_model_dir) 95 def get_meta_graph_def(saved_model_dir, tag_set): argument 113 saved_model = read_saved_model(saved_model_dir)
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D | saved_model_utils_test.py | 46 saved_model_dir = os.path.join(test.get_temp_dir(), "valid_saved_model") 47 builder = saved_model_builder.SavedModelBuilder(saved_model_dir) 53 actual_saved_model_pb = saved_model_utils.read_saved_model(saved_model_dir) 61 saved_model_dir = os.path.join(test.get_temp_dir(), "invalid_saved_model") 63 IOError, "SavedModel file does not exist at: %s" % saved_model_dir): 64 saved_model_utils.read_saved_model(saved_model_dir) 68 saved_model_dir = os.path.join(test.get_temp_dir(), "test_tags") 69 builder = saved_model_builder.SavedModelBuilder(saved_model_dir) 109 actual_tags = saved_model_utils.get_saved_model_tag_sets(saved_model_dir)
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D | saved_model_cli.py | 50 def _show_tag_sets(saved_model_dir): argument 58 tag_sets = saved_model_utils.get_saved_model_tag_sets(saved_model_dir) 64 def _show_signature_def_map_keys(saved_model_dir, tag_set): argument 76 signature_def_map = get_signature_def_map(saved_model_dir, tag_set) 119 def _show_inputs_outputs(saved_model_dir, tag_set, signature_def_key, indent=0): argument 132 meta_graph_def = saved_model_utils.get_meta_graph_def(saved_model_dir, 183 def _show_all(saved_model_dir): argument 192 tag_sets = saved_model_utils.get_saved_model_tag_sets(saved_model_dir) 198 signature_def_map = get_signature_def_map(saved_model_dir, tag_set) 201 _show_inputs_outputs(saved_model_dir, tag_set, signature_def_key, [all …]
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D | freeze_graph_test.py | 223 saved_model_dir = os.path.join(tmp_dir, "saved_model_dir") 225 self._writeDummySavedModel(saved_model_dir, feature_name) 228 input_saved_model_dir = saved_model_dir
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/external/tensorflow/tensorflow/python/keras/saving/ |
D | saved_model_test.py | 71 saved_model_dir = self._save_model_dir() 72 keras_saved_model.export_saved_model(model, saved_model_dir) 74 loaded_model = keras_saved_model.load_from_saved_model(saved_model_dir) 89 saved_model_dir = self._save_model_dir() 90 keras_saved_model.export_saved_model(model, saved_model_dir) 91 loaded_model = keras_saved_model.load_from_saved_model(saved_model_dir) 113 saved_model_dir = self._save_model_dir() 114 keras_saved_model.export_saved_model(model, saved_model_dir) 115 loaded_model = keras_saved_model.load_from_saved_model(saved_model_dir) 134 saved_model_dir = self._save_model_dir() [all …]
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/external/tensorflow/tensorflow/contrib/saved_model/python/saved_model/ |
D | reader_test.py | 44 saved_model_dir = os.path.join(test.get_temp_dir(), "valid_saved_model") 45 builder = saved_model_builder.SavedModelBuilder(saved_model_dir) 51 actual_saved_model_pb = reader.read_saved_model(saved_model_dir) 59 saved_model_dir = os.path.join(test.get_temp_dir(), "invalid_saved_model") 61 IOError, "SavedModel file does not exist at: %s" % saved_model_dir): 62 reader.read_saved_model(saved_model_dir) 65 saved_model_dir = os.path.join(test.get_temp_dir(), "test_tags") 66 builder = saved_model_builder.SavedModelBuilder(saved_model_dir) 106 actual_tags = reader.get_saved_model_tag_sets(saved_model_dir)
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D | reader.py | 31 def read_saved_model(saved_model_dir): argument 45 compat.as_bytes(saved_model_dir), 49 compat.as_bytes(saved_model_dir), 55 raise IOError("SavedModel file does not exist at: %s" % saved_model_dir) 75 (saved_model_dir, constants.SAVED_MODEL_FILENAME_PBTXT, 79 def get_saved_model_tag_sets(saved_model_dir): argument 88 saved_model = read_saved_model(saved_model_dir)
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/external/tensorflow/tensorflow/contrib/predictor/ |
D | README.md | 34 saved_model_dir = estimator.export_savedmodel(my_export_dir, serving_input_fn) 60 export_dir=saved_model_dir, 72 export_dir=saved_model_dir,
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D | saved_model_predictor.py | 37 def get_meta_graph_def(saved_model_dir, tags): argument 53 saved_model = reader.read_saved_model(saved_model_dir)
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/external/tensorflow/tensorflow/lite/testing/model_coverage/ |
D | model_coverage_lib_test.py | 113 saved_model_dir = os.path.join(self.get_temp_dir(), 'simple_savedmodel') 123 saved_model.simple_save(sess, saved_model_dir, inputs, outputs) 124 model_coverage.test_saved_model(saved_model_dir)
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/external/tensorflow/tensorflow/lite/g3doc/convert/ |
D | quantization.md | 16 converter = tf.lite.TFLiteConverter.from_saved_model(saved_model_dir) 31 converter = tf.lite.TFLiteConverter.from_saved_model(saved_model_dir)
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D | cmdline_reference.md | 13 `--graph_def_file`, `--saved_model_dir` or `--keras_model_file` is required. 19 * `--saved_model_dir`. Type: string. Specifies the full path to the directory
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D | python_api.md | 91 converter = tf.lite.TFLiteConverter.from_saved_model(saved_model_dir)
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/external/tensorflow/tensorflow/tools/api/golden/v1/ |
D | tensorflow.lite.-toco-converter.pbtxt | 18 …argspec: "args=[\'cls\', \'saved_model_dir\', \'input_arrays\', \'input_shapes\', \'output_arrays\…
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D | tensorflow.lite.-t-f-lite-converter.pbtxt | 23 …argspec: "args=[\'cls\', \'saved_model_dir\', \'input_arrays\', \'input_shapes\', \'output_arrays\…
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/external/tensorflow/tensorflow/lite/tools/optimize/g3doc/ |
D | quantize_weights.md | 15 --saved_model_dir=/tmp/saved_model \
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/external/tensorflow/tensorflow/lite/tutorials/ |
D | post_training_quant.ipynb | 227 "saved_model_dir = str(sorted(pathlib.Path(saved_models_root).glob(\"*\"))[-1])\n", 228 "saved_model_dir" 255 "converter = tf.lite.TFLiteConverter.from_saved_model(saved_model_dir)\n",
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/external/tensorflow/tensorflow/lite/g3doc/performance/ |
D | post_training_quantization.md | 10 converter = tf.lite.TFLiteConverter.from_saved_model(saved_model_dir)
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/external/tensorflow/tensorflow/lite/g3doc/guide/ |
D | get_started.md | 246 conversion tool. Assuming that the saved model is stored in saved_model_dir, the 250 converter=tf.contrib.lite.TocoConverter.from_saved_model(saved_model_dir)
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/external/tensorflow/tensorflow/c/ |
D | c_api_test.cc | 1354 const string saved_model_dir = tensorflow::io::JoinPath( in TEST() local 1363 opt, run_options, saved_model_dir.c_str(), tags, 1, graph, metagraph, s); in TEST() 1429 const string saved_model_dir = tensorflow::io::JoinPath( in TEST() local 1437 opt, nullptr, saved_model_dir.c_str(), tags, 1, graph, nullptr, s); in TEST()
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