mlir/LinalgNamedStructuredOps: re-generate from script

[artagnon]

Summary

The yaml file was out-of-sync with core_named_ops.py. Update it using
update_core_linag_named_ops.sh.

Signed-off-by: Ramkumar Ramachandra <[e-mail]>

mlir/include/mlir/Dialect/Linalg/IR/LinalgNamedStructuredOps.yaml

 metadata: !LinalgOpMetadata
   name: batch_reduce_matmul
   cpp_class_name: BatchReduceMatmulOp
   doc: |-
     Performs a batch-reduce matrix multiplication of two 3D inputs.
     The partial multiplication results are reduced into a 2D output.
 
     Numeric casting is performed on the operands to the inner multiply, promoting
-    them to the same data type as the accumulator/output."
+    them to the same data type as the accumulator/output.
   implements:
   - LinalgContractionOpInterface
 structured_op: !LinalgStructuredOpConfig
   args:
   - !LinalgOperandDefConfig
     name: A
     kind: input_tensor
     type_var: T1
metadata: !LinalgOpMetadata
   implements:
   - LinalgConvolutionOpInterface
 structured_op: !LinalgStructuredOpConfig
   args:
   - !LinalgOperandDefConfig
     name: I
     kind: input_tensor
     type_var: T1
-    shape_map: affine_map<()[s0, s1, s2, s3, s4, s5, s6, s7, s8, s9] -> (s0, s9, s1 *
-      s2 + s3 * s4, s5 * s6 + s7 * s8)>
+    shape_map: affine_map<()[s0, s1, s2, s3, s4, s5, s6, s7, s8, s9] -> (s0, s1, s2
+      * s3 + s4 * s5, s6 * s7 + s8 * s9)>
   - !LinalgOperandDefConfig
     name: K
     kind: input_tensor
     type_var: T2
-    shape_map: affine_map<()[s0, s1, s2, s3, s4, s5, s6, s7, s8, s9] -> (s9, s3, s7)>
+    shape_map: affine_map<()[s0, s1, s2, s3, s4, s5, s6, s7, s8, s9] -> (s1, s4, s8)>
   - !LinalgOperandDefConfig
     name: O
     kind: output_tensor
     type_var: U
-    shape_map: affine_map<()[s0, s1, s2, s3, s4, s5, s6, s7, s8, s9] -> (s0, s9, s1, s5)>
+    shape_map: affine_map<()[s0, s1, s2, s3, s4, s5, s6, s7, s8, s9] -> (s0, s1, s2,
+      s6)>
   - !LinalgOperandDefConfig
     name: strides
     kind: index_attr
-    index_attr_map: affine_map<()[s0, s1, s2, s3, s4, s5, s6, s7, s8, s9] -> (s2,
-      s6)>
+    index_attr_map: affine_map<()[s0, s1, s2, s3, s4, s5, s6, s7, s8, s9] -> (s3,
+      s7)>
     default_indices:
     - 1
     - 1
   - !LinalgOperandDefConfig
     name: dilations
     kind: index_attr
-    index_attr_map: affine_map<()[s0, s1, s2, s3, s4, s5, s6, s7, s8, s9] -> (s4,
-      s8)>
+    index_attr_map: affine_map<()[s0, s1, s2, s3, s4, s5, s6, s7, s8, s9] -> (s5,
+      s9)>
     default_indices:
     - 1
     - 1
   indexing_maps: !LinalgIndexingMapsConfig
     static_indexing_maps:
     - affine_map<(d0, d1, d2, d3, d4, d5)[s0, s1, s2, s3, s4, s5, s6, s7, s8, s9]
-      -> (d0, d3, d1 * s2 + d4 * s4, d2 * s6 + d5 * s8)>
+      -> (d0, d3, d1 * s3 + d4 * s5, d2 * s7 + d5 * s9)>
     - affine_map<(d0, d1, d2, d3, d4, d5)[s0, s1, s2, s3, s4, s5, s6, s7, s8, s9]
       -> (d3, d4, d5)>
     - affine_map<(d0, d1, d2, d3, d4, d5)[s0, s1, s2, s3, s4, s5, s6, s7, s8, s9]
       -> (d0, d3, d1, d2)>
   iterator_types:
   - parallel
   - parallel
   - parallel