fix trt dynamic shape
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@ -231,13 +231,13 @@ def create_predictor(args, mode, logger):
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max_input_shape.update(max_pact_shape)
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max_input_shape.update(max_pact_shape)
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opt_input_shape.update(opt_pact_shape)
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opt_input_shape.update(opt_pact_shape)
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elif mode == "rec":
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elif mode == "rec":
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min_input_shape = {"x": [args.rec_batch_num, 3, 32, 10]}
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min_input_shape = {"x": [1, 3, 32, 10]}
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max_input_shape = {"x": [args.rec_batch_num, 3, 32, 2000]}
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max_input_shape = {"x": [args.rec_batch_num, 3, 32, 2000]}
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opt_input_shape = {"x": [args.rec_batch_num, 3, 32, 320]}
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opt_input_shape = {"x": [512, 3, 32, 320]}
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elif mode == "cls":
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elif mode == "cls":
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min_input_shape = {"x": [args.rec_batch_num, 3, 48, 10]}
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min_input_shape = {"x": [1, 3, 48, 10]}
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max_input_shape = {"x": [args.rec_batch_num, 3, 48, 2000]}
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max_input_shape = {"x": [args.rec_batch_num, 3, 48, 2000]}
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opt_input_shape = {"x": [args.rec_batch_num, 3, 48, 320]}
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opt_input_shape = {"x": [512, 3, 48, 320]}
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else:
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else:
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min_input_shape = {"x": [1, 3, 10, 10]}
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min_input_shape = {"x": [1, 3, 10, 10]}
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max_input_shape = {"x": [1, 3, 1000, 1000]}
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max_input_shape = {"x": [1, 3, 1000, 1000]}
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