Lines Matching refs:tf
28 import tensorflow as tf namespace
111 revision = tf.__git_version__
112 version = tf.__version__
134 os.path.basename(__file__), tf.__version__, keras.__version__))
229 return tf.convert_to_tensor(fw)
247 return tf.convert_to_tensor(np_float_array)
258 …data = tf.Variable(tf.random.uniform(dims, minval=minrange, maxval=maxrange, dtype=tf.dtypes.int64…
259 data = tf.cast(data, dtype=tf.float32)
261 …data = tf.Variable(tf.random.uniform(dims, minval=minrange, maxval=maxrange, dtype=tf.dtypes.float…
263 data = tf.convert_to_tensor(data)
269 data = tf.convert_to_tensor(self.load_multiple_dim_array_from_txt(npfile))
277 input_data = tf.reshape(input_data, input_shape)
287 biases = tf.reshape(np.full([self.output_ch], 0), [self.output_ch])
289 biases = tf.reshape(biases, [self.output_ch])
379 size = tf.size(array)
466 converter = tf.lite.TFLiteConverter.from_keras_model(model)
470 converter.optimizations = [tf.lite.Optimize.DEFAULT]
474 converter._experimental_full_integer_quantization_bias_type = tf.int32
476 tf.lite.OpsSet.EXPERIMENTAL_TFLITE_BUILTINS_ACTIVATIONS_INT16_WEIGHTS_INT8
479 converter.target_spec.supported_ops = [tf.lite.OpsSet.TFLITE_BUILTINS_INT8]
501 interpreter.set_tensor(input_details[0]["index"], tf.cast(input_data, inttype))