[1/N] Fix ruff warnings (#164333)

Fixes #ISSUE_NUMBER

Pull Request resolved: https://github.com/pytorch/pytorch/pull/164333
Approved by: https://github.com/albanD

torch/onnx/_internal/exporter/_core.py

@@ -270,8 +270,6 @@ def _set_shape_type(
     elif isinstance(meta_val, (float, torch.SymFloat)):
         value.dtype = ir.DataType.FLOAT
         value.shape = ir.Shape([])
-    else:
-        pass
 
 
 def _get_qualified_module_name(cls: Any) -> str:

torch/onnx/_internal/torchscript_exporter/symbolic_opset9.py

@@ -1365,8 +1365,7 @@ def get_pool_ceil_padding(input, kernel_size, stride, padding):
             "get_pool_ceil_padding", "input size not accessible", input
         )
     ceiled_output_dim = [
-        int(math.ceil((dim[i] + 2 * padding[i] - kernel_size[i]) / float(stride[i])))
-        + 1
+        math.ceil((dim[i] + 2 * padding[i] - kernel_size[i]) / float(stride[i])) + 1
         for i in range(0, len(padding))
     ]
     # ensure last pooling starts inside
@@ -4536,7 +4535,7 @@ def lstm_cell(g: jit_utils.GraphContext, self, hidden, w_ih, w_hh, b_ih, b_hh):
     weight = (
         (w_ih, w_hh, b_ih, b_hh) if symbolic_helper._is_tensor(b_ih) else (w_ih, w_hh)
     )
-    has_biases = True if symbolic_helper._is_tensor(b_ih) else False
+    has_biases = bool(symbolic_helper._is_tensor(b_ih))
     _, h_outs, c_outs = _generic_rnn(
         g,
         "LSTM",