Created
January 20, 2025 18:35
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| #map = affine_map<(d0, d1, d2, d3, d4, d5) -> (d0, d1, d2, d4)> | |
| #map1 = affine_map<(d0, d1, d2, d3, d4, d5) -> (d0, d1, d5, d4)> | |
| #map2 = affine_map<(d0, d1, d2, d3, d4, d5) -> (d0, d1, d5, d3)> | |
| #map3 = affine_map<(d0, d1, d2, d3, d4, d5) -> ()> | |
| #map4 = affine_map<(d0, d1, d2, d3, d4, d5) -> (d0, d1, d2, d3)> | |
| module { | |
| func.func @attention(%arg0: tensor<1x32x128x512xf32>, %arg1: tensor<1x32x128x512xf32>, %arg2: tensor<1x32x128x512xf32>) -> tensor<1x32x128x512xf32> { | |
| %cst = arith.constant 1.250000e-01 : f32 | |
| %0 = tensor.empty() : tensor<1x32x128x512xf32> | |
| %1 = iree_linalg_ext.attention {indexing_maps = [#map, #map1, #map2, #map3, #map4]} ins(%arg0, %arg1, %arg2, %cst : tensor<1x32x128x512xf32>, tensor<1x32x128x512xf32>, tensor<1x32x128x512xf32>, f32) outs(%0 : tensor<1x32x128x512xf32>) { | |
| ^bb0(%arg4: f32): | |
| iree_linalg_ext.yield %arg4 : f32 | |
| } -> tensor<1x32x128x512xf32> | |
| return %1 : tensor<1x32x128x512xf32> | |
| } | |
| } |
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