Support tf1 models for 'convert_with_tensorrt'.

PiperOrigin-RevId: 301891524
Change-Id: If6c3f692a4763cf171c6e585c4986f52c732ee1a

tensorflow/python/tools/saved_model_cli.py

@@ -772,16 +772,33 @@ def convert_with_tensorrt(args):
   # not installed
   from tensorflow.python.compiler.tensorrt import trt_convert as trt  # pylint: disable=g-import-not-at-top
 
-  params = trt.DEFAULT_TRT_CONVERSION_PARAMS._replace(
-      max_workspace_size_bytes=args.max_workspace_size_bytes,
-      precision_mode=args.precision_mode,
-      minimum_segment_size=args.minimum_segment_size)
-  converter = trt.TrtGraphConverterV2(
-      input_saved_model_dir=args.dir,
-      input_saved_model_tags=args.tag_set.split(','),
-      conversion_params=params)
-  converter.convert()
-  converter.save(output_saved_model_dir=args.output_dir)
+  if not args.convert_tf1_model:
+    params = trt.DEFAULT_TRT_CONVERSION_PARAMS._replace(
+        max_workspace_size_bytes=args.max_workspace_size_bytes,
+        precision_mode=args.precision_mode,
+        minimum_segment_size=args.minimum_segment_size)
+    converter = trt.TrtGraphConverterV2(
+        input_saved_model_dir=args.dir,
+        input_saved_model_tags=args.tag_set.split(','),
+        conversion_params=params)
+    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):
@@ -1010,6 +1027,11 @@ def add_convert_subparser(subparsers):
       default=3,
       help=('the minimum number of nodes required for a subgraph to be replaced'
             '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)