Created
November 15, 2019 01:26
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saved_model_to_trt
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import numpy as np | |
import tensorflow as tf | |
from ipdb import set_trace | |
from tensorflow.python.compiler.tensorrt import trt_convert as trt | |
tf.enable_eager_execution() | |
INPUT_SAVED_MODEL_DIR = 'tst' | |
OUTPUT_SAVED_MODEL_DIR = 'tst_out' | |
def load_run_savedmodel(): | |
mod = tf.saved_model.load_v2('tst') | |
inp = tf.convert_to_tensor(np.ones((32, 18, 63, 8)), dtype=tf.float32) | |
out = mod(inp) | |
def convert_savedmodel(): | |
params = trt.DEFAULT_TRT_CONVERSION_PARAMS._replace( | |
precision_mode='FP16', | |
is_dynamic_op=True) | |
converter = trt.TrtGraphConverterV2(input_saved_model_dir=INPUT_SAVED_MODEL_DIR, | |
conversion_params=params) | |
converter.convert() | |
converter.save(OUTPUT_SAVED_MODEL_DIR) | |
load_infer_savedmodel() | |
return None | |
def load_infer_savedmodel(): | |
saved_model_loaded = tf.saved_model.load_v2(OUTPUT_SAVED_MODEL_DIR, tags=[tf.saved_model.tag_constants.SERVING]) | |
graph_func = saved_model_loaded.signatures[tf.saved_model.signature_constants.DEFAULT_SERVING_SIGNATURE_DEF_KEY] | |
frozen_func = trt.convert_to_constants.convert_variables_to_constants_v2(graph_func) | |
def wrap_func(*args, **kwargs): | |
# Assumes frozen_func has one output tensor | |
return frozen_func(*args, **kwargs)[0] | |
input_data = tf.convert_to_tensor(np.ones((2, 18, 63, 8)), dtype=tf.float32) | |
output = wrap_func(input_data).numpy() | |
if __name__ == '__main__': | |
convert_savedmodel() | |
# load_infer_savedmodel() |
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