set reasonable trt shape
@@ -193,7 +193,7 @@ def create_predictor(args, mode, logger):
"nearest_interp_v2_0.tmp_0": [1, 256, 2, 2]
}
max_input_shape = {
- "x": [1, 3, 2000, 2000],
+ "x": [1, 3, 1280, 1280],
"conv2d_92.tmp_0": [1, 120, 400, 400],
"conv2d_91.tmp_0": [1, 24, 200, 200],
"conv2d_59.tmp_0": [1, 96, 400, 400],
@@ -243,16 +243,16 @@ def create_predictor(args, mode, logger):
opt_input_shape.update(opt_pact_shape)
elif mode == "rec":
min_input_shape = {"x": [1, 3, 32, 10]}
- max_input_shape = {"x": [args.rec_batch_num, 3, 32, 2000]}
+ max_input_shape = {"x": [args.rec_batch_num, 3, 32, 1024]}
opt_input_shape = {"x": [args.rec_batch_num, 3, 32, 320]}
elif mode == "cls":
min_input_shape = {"x": [1, 3, 48, 10]}
- max_input_shape = {"x": [args.rec_batch_num, 3, 48, 2000]}
+ max_input_shape = {"x": [args.rec_batch_num, 3, 48, 1024]}
opt_input_shape = {"x": [args.rec_batch_num, 3, 48, 320]}
else:
min_input_shape = {"x": [1, 3, 10, 10]}
- max_input_shape = {"x": [1, 3, 1000, 1000]}
- opt_input_shape = {"x": [1, 3, 500, 500]}
+ max_input_shape = {"x": [1, 3, 512, 512]}
+ opt_input_shape = {"x": [1, 3, 256, 256]}
config.set_trt_dynamic_shape_info(min_input_shape, max_input_shape,
opt_input_shape)
