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| @@ -0,0 +1,135 @@ | ||
| // RUN: tpp-opt %s -fold-add-into-dest -cse -split-input-file | FileCheck %s | ||
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| !type = tensor<2048x2048xf32> | ||
| func.func @expect_add_to_fold(%arg0: !type, %arg1: !type) -> !type { | ||
| %0 = arith.constant dense<1.111111e+00> : !type | ||
| %cst = arith.constant 0.000000e+00 : f32 | ||
| %1 = tensor.empty() : !type | ||
| %2 = linalg.fill ins(%cst : f32) outs(%1 : !type) -> !type | ||
| %3 = linalg.matmul ins(%arg0, %0 : !type, !type) outs(%2 : !type) -> !type | ||
| %4 = linalg.matmul ins(%arg1, %0 : !type, !type) outs(%2 : !type) -> !type | ||
| %5 = linalg.add ins(%3, %4 : !type, !type) outs(%1 : !type) -> !type | ||
| return %5 : !type | ||
| } | ||
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| // CHECK-LABEL: func.func @expect_add_to_fold | ||
| // CHECK: %[[ACC:.+]] = linalg.matmul | ||
| // CHECK-NEXT: %[[RES:.+]] = linalg.matmul ins(%[[X:.+]]) outs(%[[ACC]] | ||
| // CHECK-NEXT: return %[[RES]] | ||
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| // ----- | ||
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| !type = tensor<2048x2048xf32> | ||
| func.func @expect_add_to_fold(%arg0: !type, %arg1: !type) -> !type { | ||
| %0 = arith.constant dense<1.111111e+00> : !type | ||
| %cst = arith.constant 0.000000e+00 : f32 | ||
| %1 = tensor.empty() : !type | ||
| %2 = linalg.fill ins(%cst : f32) outs(%1 : !type) -> !type | ||
| %3 = linalg.matmul ins(%arg0, %0 : !type, !type) outs(%2 : !type) -> !type | ||
| %5 = linalg.add ins(%3, %arg1 : !type, !type) outs(%1 : !type) -> !type | ||
| return %5 : !type | ||
| } | ||
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| // CHECK-LABEL: func.func @expect_add_to_fold | ||
| // CHECK: %[[RES:.+]] = linalg.matmul | ||
| // CHECK-NEXT: return %[[RES]] | ||
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| // ----- | ||
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| !type = tensor<2048x2048xf32> | ||
| func.func @expect_add_to_fold(%arg0: !type, %arg1: !type) -> !type { | ||
| %0 = arith.constant dense<1.111111e+00> : !type | ||
| %cst = arith.constant 0.000000e+00 : f32 | ||
| %1 = tensor.empty() : !type | ||
| %2 = linalg.fill ins(%cst : f32) outs(%1 : !type) -> !type | ||
| %3 = linalg.matmul_transpose_a ins(%arg0, %0 : !type, !type) outs(%2 : !type) -> !type | ||
| %4 = linalg.matmul_transpose_b ins(%arg1, %0 : !type, !type) outs(%2 : !type) -> !type | ||
| %5 = linalg.add ins(%3, %4 : !type, !type) outs(%1 : !type) -> !type | ||
| return %5 : !type | ||
| } | ||
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| // CHECK-LABEL: func.func @expect_add_to_fold | ||
| // CHECK: %[[ACC:.+]] = linalg.matmul_transpose_a | ||
| // CHECK-NEXT: %[[RES:.+]] = linalg.matmul_transpose_b ins(%[[X:.+]]) outs(%[[ACC]] | ||
| // CHECK-NEXT: return %[[RES]] | ||
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| // ----- | ||
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| !type = tensor<2048x2048xf32> | ||
| func.func @expect_add_to_not_fold(%arg0: !type, %arg1: !type) -> !type { | ||
| %0 = arith.constant dense<1.111111e+00> : !type | ||
| %cst = arith.constant 0.000000e+00 : f32 | ||
| %1 = tensor.empty() : !type | ||
| %2 = linalg.fill ins(%cst : f32) outs(%1 : !type) -> !type | ||
| %3 = linalg.matmul_transpose_b ins(%arg0, %0 : !type, !type) outs(%2 : !type) -> !type | ||
| %4 = linalg.add ins(%3, %3 : !type, !type) outs(%1 : !type) -> !type | ||
| return %4 : !type | ||
| } | ||
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| // CHECK-LABEL: func.func @expect_add_to_not_fold | ||
| // CHECK: linalg.fill | ||
| // CHECK-NEXT: linalg.matmul_transpose_b | ||
| // CHECK-NEXT: linalg.add | ||
| // CHECK-NEXT: return | ||
|
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| // ----- | ||
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| !type = tensor<2048x2048xf32> | ||
| func.func @expect_no_fold_as_operands_do_not_dominate_each_other(%arg0: !type, %arg1: !type) -> !type { | ||
| %0 = arith.constant dense<1.111111e+00> : !type | ||
| %cst = arith.constant 0.000000e+00 : f32 | ||
| %1 = tensor.empty() : !type | ||
| %2 = linalg.fill ins(%cst : f32) outs(%1 : !type) -> !type | ||
| %3 = linalg.matmul_transpose_b ins(%arg0, %0 : !type, !type) outs(%2 : !type) -> !type | ||
| %4 = linalg.add ins(%3, %3 : !type, !type) outs(%1 : !type) -> !type | ||
| return %4 : !type | ||
| } | ||
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| // CHECK-LABEL: func.func @expect_no_fold_as_operands_do_not_dominate_each_other | ||
| // CHECK: linalg.fill | ||
| // CHECK-NEXT: linalg.matmul_transpose_b | ||
| // CHECK-NEXT: linalg.add | ||
| // CHECK-NEXT: return | ||
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| // ----- | ||
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| !type = tensor<2048x2048xf32> | ||
| func.func @expect_no_fold_as_dominated_op_is_not_a_contraction(%arg0: !type, %arg1: !type) -> !type { | ||
| %0 = arith.constant dense<1.111111e+00> : !type | ||
| %cst = arith.constant 0.000000e+00 : f32 | ||
| %1 = tensor.empty() : !type | ||
| %2 = linalg.fill ins(%cst : f32) outs(%1 : !type) -> !type | ||
| %3 = linalg.matmul ins(%arg0, %0 : !type, !type) outs(%2 : !type) -> !type | ||
| %4 = linalg.sub ins(%arg1, %0 : !type, !type) outs(%2 : !type) -> !type | ||
| %5 = linalg.add ins(%3, %4 : !type, !type) outs(%1 : !type) -> !type | ||
| return %5 : !type | ||
| } | ||
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| // CHECK-LABEL: func.func @expect_no_fold_as_dominated_op_is_not_a_contraction | ||
| // CHECK: linalg.fill | ||
| // CHECK-NEXT: linalg.matmul | ||
| // CHECK-NEXT: linalg.sub | ||
| // CHECK-NEXT: linalg.add | ||
| // CHECK-NEXT: return | ||
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| // ----- | ||
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| !type = tensor<2048x2048xf32> | ||
| func.func @expect_no_fold_as_orig_dest_not_additive_zero(%arg0: !type, %arg1: !type) -> !type { | ||
| %0 = arith.constant dense<1.111111e+00> : !type | ||
| %cst = arith.constant 0.000000e+00 : f32 | ||
| %1 = tensor.empty() : !type | ||
| %2 = linalg.fill ins(%cst : f32) outs(%1 : !type) -> !type | ||
| %3 = linalg.matmul ins(%arg0, %0 : !type, !type) outs(%2 : !type) -> !type | ||
| %4 = linalg.matmul ins(%arg1, %0 : !type, !type) outs(%0 : !type) -> !type | ||
| %5 = linalg.add ins(%3, %4 : !type, !type) outs(%1 : !type) -> !type | ||
| return %5 : !type | ||
| } | ||
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| // CHECK-LABEL: func.func @expect_no_fold_as_orig_dest_not_additive_zero | ||
| // CHECK: linalg.fill | ||
| // CHECK-NEXT: linalg.matmul | ||
| // CHECK-NEXT: linalg.matmul | ||
| // CHECK-NEXT: linalg.add | ||
| // CHECK-NEXT: return |