Searched refs:TFLiteConverter (Results 1 – 21 of 21) sorted by relevance
/external/tensorflow/tensorflow/lite/python/ |
D | lite_test.py | 54 lite.TFLiteConverter( 60 lite.TFLiteConverter(None, [], None, output_arrays=['output']) 65 converter = lite.TFLiteConverter( 80 converter = lite.TFLiteConverter(None, ['input_tensor'], ['output_tensor']) 94 converter = lite.TFLiteConverter.from_session(sess, [in_tensor], 123 converter = lite.TFLiteConverter.from_session(sess, [in_tensor], 156 converter = lite.TFLiteConverter.from_session( 201 converter = lite.TFLiteConverter.from_session( 220 converter = lite.TFLiteConverter.from_session(sess, [in_tensor_final], 249 converter = lite.TFLiteConverter.from_session(sess, [in_tensor], [all …]
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D | lite.py | 314 class TFLiteConverter(object): class 828 return TFLiteConverter.from_session(sess, input_tensors, output_tensors) 839 return TFLiteConverter.from_frozen_graph(graph_def_file, input_arrays, 853 return TFLiteConverter.from_saved_model(saved_model_dir, input_arrays, 866 return TFLiteConverter.from_keras_model_file(model_file, input_arrays,
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D | tflite_convert.py | 96 converter_fn = lite.TFLiteConverter.from_frozen_graph 99 converter_fn = lite.TFLiteConverter.from_saved_model 104 converter_fn = lite.TFLiteConverter.from_keras_model_file
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D | lite_flex_test.py | 40 converter = lite.TFLiteConverter.from_session(sess, [in_tensor],
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/external/tensorflow/tensorflow/lite/g3doc/convert/ |
D | python_api.md | 23 `tf.lite.TFLiteConverter`. The API for calling the Python interpreter is 26 `TFLiteConverter` provides class methods based on the original format of the 27 model. `TFLiteConverter.from_session()` is available for GraphDefs. 28 `TFLiteConverter.from_saved_model()` is available for SavedModels. 29 `TFLiteConverter.from_keras_model_file()` is available for `tf.Keras` files. 54 converter = tf.lite.TFLiteConverter.from_session(sess, [img], [out]) 77 converter = tf.lite.TFLiteConverter.from_frozen_graph( 91 converter = tf.lite.TFLiteConverter.from_saved_model(saved_model_dir) 97 `TFLiteConverter.from_saved_model()` are `input_arrays`, `input_shapes`, 99 available by running `help(tf.lite.TFLiteConverter)`. [all …]
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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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/external/tensorflow/tensorflow/lite/g3doc/r2/convert/ |
D | python_api.md | 12 [`tf.lite.TFLiteConverter.from_concrete_function()`](https://www.tensorflow.org/versions/r2.0/api_d… 40 converter = tf.lite.TFLiteConverter.from_concrete_function(concrete_func) 76 converter = tf.lite.TFLiteConverter.from_concrete_function(concrete_func) 103 converter = tf.lite.TFLiteConverter.from_concrete_function(concrete_func) 132 converter = tf.lite.TFLiteConverter.from_concrete_function(concrete_func) 153 ## Summary of changes in `TFLiteConverter` between 1.X and 2.0 <a name="differences"></a> 155 The following section summarizes the changes in `TFLiteConverter` from 1.X to 161 `TFLiteConverter` in 2.0 supports SavedModels and Keras model files generated in 170 have been removed from `TFLiteConverter` in TensorFlow 2.0:
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/external/tensorflow/tensorflow/lite/testing/model_coverage/ |
D | model_coverage_lib.py | 280 converter = _lite.TFLiteConverter.from_frozen_graph( 289 converter = _lite.TFLiteConverter.from_frozen_graph(filename, input_arrays, 340 converter = _lite.TFLiteConverter.from_frozen_graph( 371 converter = _lite.TFLiteConverter.from_saved_model( 435 converter = _lite.TFLiteConverter.from_keras_model_file(
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/external/tensorflow/tensorflow/tools/api/golden/v1/ |
D | tensorflow.lite.-t-f-lite-converter.pbtxt | 1 path: "tensorflow.lite.TFLiteConverter" 3 is_instance: "<class \'tensorflow.lite.python.lite.TFLiteConverter\'>"
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D | tensorflow.lite.pbtxt | 24 name: "TFLiteConverter"
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/external/tensorflow/tensorflow/lite/g3doc/guide/ |
D | faq.md | 14 [TFLiteConverter.from_saved_model](../convert/python_api.md#exporting_a_savedmodel_) 17 [TFLiteConverter.from_frozen_graph](../convert/python_api.md#exporting_a_graphdef_from_file_) 19 [TFLiteConverter.from_keras_model_file](../convert/python_api.md#exporting_a_tfkeras_file_) 21 [TFLiteConverter.from_session](../convert/python_api.md#exporting_a_graphdef_from_tfsession_)
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D | ops_select.md | 54 [`TFLiteConverter`](./convert/python_api.md) Python API. 59 converter = tf.lite.TFLiteConverter.from_saved_model(saved_model_dir)
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/external/tensorflow/tensorflow/tools/api/golden/v2/ |
D | tensorflow.lite.-t-f-lite-converter.pbtxt | 1 path: "tensorflow.lite.TFLiteConverter"
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D | tensorflow.lite.pbtxt | 24 name: "TFLiteConverter"
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/external/tensorflow/tensorflow/lite/tutorials/ |
D | post_training_quant.ipynb | 238 … "Using the python `TFLiteConverter`, the saved model can be converted into a TFLite model.\n", 240 "First load the model using the `TFLiteConverter`:" 255 "converter = tf.lite.TFLiteConverter.from_saved_model(saved_model_dir)\n", 651 "converter = tf.lite.TFLiteConverter.from_frozen_graph(\n",
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/external/tensorflow/tensorflow/lite/experimental/examples/lstm/g3doc/ |
D | README.md | 62 converter = tf.lite.TFLiteConverter(ophinted_graph, [INPUTS], [OUTPUTS]) 96 converter = tf.lite.TFLiteConverter(converted_graph, [x], [output_class]) 298 converter = tf.lite.TFLiteConverter(converted_graph, [x], [output_class])
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/external/tensorflow/tensorflow/lite/experimental/examples/lstm/ |
D | unidirectional_sequence_rnn_test.py | 169 converter = tf.lite.TFLiteConverter(curr, [tflite_input], [outputs])
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D | unidirectional_sequence_lstm_test.py | 157 converter = tf.lite.TFLiteConverter(curr, [tflite_input], [outputs])
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D | bidirectional_sequence_lstm_test.py | 171 converter = tf.lite.TFLiteConverter(curr, [tflite_input], [outputs])
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D | bidirectional_sequence_rnn_test.py | 195 converter = tf.lite.TFLiteConverter(curr, [tflite_input], [outputs])
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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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