Lines Matching full:24

6   %arg0: tensor<24x12xf32>, %arg1: tensor<12x25xf32>, %arg2: tensor<24x25xf32>)
7      -> tensor<24x25xf32>
9   %0 = linalg.matmul ins(%arg0, %arg1 : tensor<24x12xf32>, tensor<12x25xf32>) outs(%arg2 : tensor<24x25xf32>) -> tensor<24x25xf32>
10   func.return %0 : tensor<24x25xf32>
40   %arg0: tensor<24x12xf32>, %arg1: tensor<12x25xf32>, %arg2: tensor<24x25xf32>)
41      -> tensor<24x25xf32>
43   %0 = linalg.matmul ins(%arg0, %arg1 : tensor<24x12xf32>, tensor<12x25xf32>) outs(%arg2 : tensor<24x25xf32>) -> tensor<24x25xf32>
44   func.return %0 : tensor<24x25xf32>
74   %arg0: tensor<24x12xf32>, %arg1: tensor<12x25xf32>, %arg2: tensor<24x25xf32>)
75      -> tensor<24x25xf32>
82   //     BUILD-PACKING-LOOP-NEST: scf.for %{{.*}} -> (tensor<24x25xf32>)
83   %0 = linalg.matmul ins(%arg0, %arg1 : tensor<24x12xf32>, tensor<12x25xf32>) outs(%arg2 : tensor<24x25xf32>) -> tensor<24x25xf32>
84   func.return %0 : tensor<24x25xf32>
112   %arg0: tensor<24x12xf32>, %arg1: tensor<12x25xf32>, %arg2: tensor<24x25xf32>)
113      -> tensor<24x25xf32>
122   //     BUILD-PACKING-LOOP-NEST: scf.for %{{.*}} -> (tensor<24x25xf32>)
123   %0 = linalg.matmul ins(%arg0, %arg1 : tensor<24x12xf32>, tensor<12x25xf32>) outs(%arg2 : tensor<24x25xf32>) -> tensor<24x25xf32>
124   func.return %0 : tensor<24x25xf32>
152   %arg0: tensor<24x12xf32>, %arg1: tensor<12x25xf32>, %arg2: tensor<24x25xf32>)
153      -> tensor<24x25xf32>
156   //      BUILD-PACKING-LOOP-NEST: scf.for %{{.*}} -> (tensor<24x25xf32>) {
160   //      BUILD-PACKING-LOOP-NEST:   scf.for %{{.*}} iter_args({{.*}} = %[[EXTRACTED_SLICE]]) -> (tensor<24x25xf32>, tensor<?x25xf32>) {
161   %0 = linalg.matmul ins(%arg0, %arg1 : tensor<24x12xf32>, tensor<12x25xf32>) outs(%arg2 : tensor<24x25xf32>) -> tensor<24x25xf32>
162   func.return %0 : tensor<24x25xf32>