Populate cadence cpu ops (#7165)

Summary:
quantized ops in CPU flow are not fully migrated. Adding them all in this PR
- quantized_linear_per_tensor_out

Test Plan: python3 -m examples.cadence.operators.quantized_linear_op

Reviewed By: hsharma35, mcremon-meta

Differential Revision: D66726864

Pulled By: zonglinpeng

Author: Zonglin Peng

backends/cadence/reference/operators/quantized_ops.h

@@ -89,8 +89,12 @@ inline __attribute__((always_inline)) void quantized_linear_per_channel_(
   // weight comes in shape [out_dim, in_dim]
   // output comes in empty with shape [leading_dims, out_dim]
   // Perform matrix multiply (M x N) x (N x P)' => M x P
+<<<<<<< HEAD
   int64_t leading_dims =
       executorch::runtime::getLeadingDims(src, src.dim() - 1);
+=======
+  int64_t leading_dims = getLeadingDims(src, src.dim() - 1);
+>>>>>>> 74283da5a (Populate cadence cpu ops (#7165))
   const int64_t out_dim = weight.size(0); // = out_dim
   const int64_t in_dim = weight.size(1); // = in_dim