Dropped unnecessary custom_args

benchmark/opperf/utils/op_registry_utils.py

@@ -117,11 +117,9 @@ def prepare_op_inputs(op, arg_params):
 
     # 3d tensor is needed by following ops
     ops_3d = ['CTCLoss', 'ctc_loss']
-    # For args that need to change shape/value for different ops
-    custom_args = ['act_type', 'BilinearSampler', 'GridGenerator', 'sample_multinomial']
 
     # For ops with args that need to change shape/value for different ops
-    custom_data = ['Activation', 'LeakyReLU', 'Softmax']
+    custom_data = ['Activation', 'LeakyReLU', 'Softmax', 'BilinearSampler', 'GridGenerator', 'sample_multinomial']
 
     # Prepare op to default input mapping
     arg_values = {}
@@ -147,8 +145,6 @@ def prepare_op_inputs(op, arg_params):
             # This is for cases where in some ops 'axis' is Int in some ops a shape tuple.
             # Ex: axis in sum is shape, axis in sort is int.
             arg_values[arg_name] = DEFAULTS_INPUTS[arg_name + "_shape"]
-        elif arg_name in custom_args and arg_name + "_" + op.lower() in DEFAULTS_INPUTS:
-            arg_values[arg_name] = DEFAULTS_INPUTS[arg_name + "_" + op.lower()]
 
     # Number of different inputs we want to use to test
     # the operator