[Opperf] Filter out deprecated ops

benchmark/opperf/nd_operations/random_sampling_operators.py

@@ -19,12 +19,12 @@
 1. Operators are automatically fetched from MXNet operator registry.
 2. Default Inputs are generated. See rules/default_params.py. You can override the default values.
 
-Below 16 random sampling Operators are covered:
+Below 18 random sampling Operators are covered:
 
 ['random_exponential', 'random_gamma', 'random_generalized_negative_binomial', 'random_negative_binomial',
 'random_normal', 'random_poisson', 'random_randint', 'random_uniform', 'sample_exponential', 'sample_gamma',
 'sample_generalized_negative_binomial', 'sample_multinomial', 'sample_negative_binomial', 'sample_normal',
-'sample_poisson', 'sample_uniform']
+'sample_poisson', 'sample_uniform', 'uniform', 'normal']
 
 """
 

benchmark/opperf/utils/op_registry_utils.py

@@ -212,10 +212,13 @@ def get_all_random_sampling_operators():
     # Get all mxnet operators
     mx_operators = _get_all_mxnet_operators()
 
+    # Deprecated random sampling operators
+    deprecate_ops = ['uniform', 'normal']
+
     # Filter for Random Sampling operators
     random_sampling_mx_operators = {}
     for op_name, op_params in mx_operators.items():
-        if op_name.startswith(("random_", "sample_")) and op_name not in unique_ops:
+        if op_name.startswith(("random_", "sample_")) or op_name in deprecate_ops and op_name not in unique_ops:
             random_sampling_mx_operators[op_name] = mx_operators[op_name]
     return random_sampling_mx_operators