lint f for python

onnxruntime/python/tools/transformers/convert_generation.py

@@ -1272,18 +1272,6 @@ def find_past_seq_len_usage(subg: GraphProto):
     return tensor_names_to_rename, nodes_to_remove
 
 
-def dim_of(dim_proto):
-    return dim_proto.dim_param if hasattr(dim_proto, "dim_param") and dim_proto.dim_param else dim_proto.dim_value
-
-
-def shape_of(vi):
-    return tuple([dim_of(dim_proto) for dim_proto in vi.type.tensor_type.shape.dim])
-
-
-def data_type_of(vi):
-    return vi.type.tensor_type.elem_type
-
-
 def update_decoder_subgraph_output_cross_attention(subg: GraphProto):
     input_self_past_0 = 1
     # w/wo attention mask, w/wo hidden_state

onnxruntime/python/tools/transformers/models/whisper/whisper_chain.py

@@ -3,8 +3,6 @@
 import sys
 
 import onnx
-from benchmark_helper import Precision
-from convert_generation import get_shared_initializers, update_decoder_subgraph_share_buffer_and_use_decoder_masked_mha
 from onnx import TensorProto, helper
 from transformers import WhisperConfig
 
@@ -236,7 +234,7 @@ def chain_model(args):
             if (
                 (pgi.name not in beam_graph_input_names)
                 and (pgi.name not in beam_graph_output_names)
-                and (not pgi.name == "cross_qk")
+                and (pgi.name != "cross_qk")
             ):
                 beam_graph.input.extend([pgi])
         beam_graph.output.extend(post_qk_graph.output)