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Support tf1 models for 'convert_with_tensorrt'.

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PiperOrigin-RevId: 301891524
Change-Id: If6c3f692a4763cf171c6e585c4986f52c732ee1a
This commit is contained in:
A. Unique TensorFlower 2020-03-19 14:07:31 -07:00 committed by TensorFlower Gardener
parent b8cdd18825
commit dc8554d9f5
1 changed files with 32 additions and 10 deletions
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42
tensorflow/python/tools/saved_model_cli.py
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@ -772,16 +772,33 @@ def convert_with_tensorrt(args):
# not installed # not installed
from tensorflow.python.compiler.tensorrt import trt_convert as trt # pylint: disable=g-import-not-at-top from tensorflow.python.compiler.tensorrt import trt_convert as trt # pylint: disable=g-import-not-at-top
params = trt.DEFAULT_TRT_CONVERSION_PARAMS._replace( if not args.convert_tf1_model:
max_workspace_size_bytes=args.max_workspace_size_bytes, params = trt.DEFAULT_TRT_CONVERSION_PARAMS._replace(
precision_mode=args.precision_mode, max_workspace_size_bytes=args.max_workspace_size_bytes,
minimum_segment_size=args.minimum_segment_size) precision_mode=args.precision_mode,
converter = trt.TrtGraphConverterV2( minimum_segment_size=args.minimum_segment_size)
input_saved_model_dir=args.dir, converter = trt.TrtGraphConverterV2(
input_saved_model_tags=args.tag_set.split(','), input_saved_model_dir=args.dir,
conversion_params=params) input_saved_model_tags=args.tag_set.split(','),
converter.convert() conversion_params=params)
converter.save(output_saved_model_dir=args.output_dir) try:
converter.convert()
except Exception as e:
raise RuntimeError(
'{}. Try passing "--convert_tf1_model=True".'.format(e))
converter.save(output_saved_model_dir=args.output_dir)
else:
trt.create_inference_graph(
None,
None,
max_batch_size=1,
max_workspace_size_bytes=args.max_workspace_size_bytes,
precision_mode=args.precision_mode,
minimum_segment_size=args.minimum_segment_size,
is_dynamic_op=True,
input_saved_model_dir=args.dir,
input_saved_model_tags=args.tag_set.split(','),
output_saved_model_dir=args.output_dir)
def aot_compile_cpu(args): def aot_compile_cpu(args):
@ -1010,6 +1027,11 @@ def add_convert_subparser(subparsers):
default=3, default=3,
help=('the minimum number of nodes required for a subgraph to be replaced' help=('the minimum number of nodes required for a subgraph to be replaced'
'in a TensorRT node')) 'in a TensorRT node'))
parser_convert_with_tensorrt.add_argument(
'--convert_tf1_model',
type=bool,
default=False,
help='support TRT conversion for TF1 models')
parser_convert_with_tensorrt.set_defaults(func=convert_with_tensorrt) parser_convert_with_tensorrt.set_defaults(func=convert_with_tensorrt)