Source code for mxnet.contrib.tensorrt
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""" Module to enable the use of TensorRT optimized graphs."""
import os
[docs]def set_use_fp16(status):
"""
Set an environment variable which will enable or disable the use of FP16 precision in
TensorRT
Note: The mode FP16 force the whole TRT node to be executed in FP16
:param status: Boolean, True if TensorRT should run in FP16, False for FP32
"""
os.environ["MXNET_TENSORRT_USE_FP16"] = str(int(status))
[docs]def get_use_fp16():
"""
Get an environment variable which describes if TensorRT is currently running in FP16
:return: Boolean, true if TensorRT is running in FP16, False for FP32
"""
return bool(int(os.environ.get("MXNET_TENSORRT_USE_FP16", 1)) == 1)
[docs]def init_tensorrt_params(sym, arg_params, aux_params):
"""
Set weights in attributes of TensorRT nodes
:param sym: Symbol, the symbol graph should contains some TensorRT nodes
:param arg_params: arg_params
:param aux_params: aux_params
:return arg_params, aux_params: remaining params that are not in TensorRT nodes
"""
arg_params = arg_params.copy()
aux_params = aux_params.copy()
for s in sym.get_internals():
new_params_names = ""
tensorrt_params = {}
if 'subgraph_params_names' in s.list_attr():
keys = s.list_attr()['subgraph_params_names'].split(';')
for k in keys:
if k in arg_params:
new_params_names += k + ";"
tensorrt_params['subgraph_param_' + k] = arg_params[k]
arg_params.pop(k)
elif k in aux_params:
new_params_names += k + ";"
tensorrt_params['subgraph_param_' + k] = aux_params[k]
aux_params.pop(k)
new_attrs = {}
for k, v in tensorrt_params.items():
new_attrs[k] = str(v.handle.value)
if len(new_attrs) > 0:
s._set_attr(**new_attrs)
s._set_attr(subgraph_params_names=new_params_names[:-1])
return arg_params, aux_params