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/llvm-project-15.0.7/mlir/test/Dialect/Tosa/
H A Dconstant-op-fold.mlir13 // CHECK: "tosa.transpose"
21 // CHECK: "tosa.transpose"
33 %1 = "tosa.transpose"(%input, %perms) : (tensor<2x3xf32>, tensor<2xi32>) -> tensor<3x2xf32>
44 %1 = "tosa.transpose"(%input, %perms) : (tensor<2x3xf32>, tensor<2xi32>) -> tensor<3x2xf32>
70 // CHECK: tosa.transpose
71 %1 = "tosa.transpose"(%input, %perms) : (tensor<2x3xf32>, tensor<2xi32>) -> tensor<3x2xf32>
78 // CHECK: tosa.transpose
79 %1 = "tosa.transpose"(%input, %perms) : (tensor<2x3xf32>, tensor<2xi32>) -> tensor<3x2xf32>
87 // CHECK: tosa.transpose
88 %1 = "tosa.transpose"(%input, %perms) : (tensor<2x3xf32>, tensor<2xi32>) -> tensor<3x2xf32>
[all …]
/llvm-project-15.0.7/mlir/test/Integration/Dialect/Vector/CPU/
H A Dtest-transpose.mlir52 %tA = vector.transpose %A, [1, 0] : vector<2x2xf32> to vector<2x2xf32>
53 %tB = vector.transpose %B, [1, 0] : vector<2x2xf32> to vector<2x2xf32>
54 %tC = vector.transpose %C, [1, 0] : vector<3x2xf32> to vector<2x3xf32>
55 %tD = vector.transpose %D, [1, 0] : vector<2x4xf32> to vector<4x2xf32>
69 %idD = vector.transpose %D, [0, 1] : vector<2x4xf32> to vector<2x4xf32>
70 %ttD = vector.transpose %tD, [1, 0] : vector<4x2xf32> to vector<2x4xf32>
75 // back to original after transpose matrices:
96 %tP = vector.transpose %w, [0, 1, 2] : vector<2x2x2xf32> to vector<2x2x2xf32>
97 %tQ = vector.transpose %w, [0, 2, 1] : vector<2x2x2xf32> to vector<2x2x2xf32>
98 %tR = vector.transpose %w, [1, 0, 2] : vector<2x2x2xf32> to vector<2x2x2xf32>
[all …]
/llvm-project-15.0.7/mlir/docs/Tutorials/Toy/
H A DCh-3.md28 transposes that cancel out: `transpose(transpose(X)) -> X`. Here is the
33 return transpose(transpose(x));
41 %0 = toy.transpose(%arg0 : tensor<*xf64>) to tensor<*xf64>
42 %1 = toy.transpose(%0 : tensor<*xf64>) to tensor<*xf64>
50 transpose is expressed with these loops:
78 /// Fold transpose(transpose(x)) -> x
92 // Look through the input of the current transpose.
96 // Input defined by another transpose? If not, no match.
136 %0 = toy.transpose(%arg0 : tensor<*xf64>) to tensor<*xf64>
150 def TransposeOp : Toy_Op<"transpose", [NoSideEffect]> {...}
[all …]
H A DCh-1.md28 # transpose() and print() are the only builtin, the following will transpose
30 print(transpose(a) * transpose(b));
44 return transpose(a) * transpose(b);
66 var f = multiply_transpose(transpose(a), c);
82 Call 'transpose' [ @test/Examples/Toy/Ch1/ast.toy:5:10
85 Call 'transpose' [ @test/Examples/Toy/Ch1/ast.toy:5:25
114 Call 'transpose' [ @test/Examples/Toy/Ch1/ast.toy:28:30
/llvm-project-15.0.7/clang/test/CodeGenCXX/
H A Dmatrix-type-builtins.cpp14 MyMatrix<T, C, R> transpose(const MyMatrix<T, R, C> &M) { in transpose() function
29 MyMatrix<int, 10, 4> M1_t = transpose(M1); in test_transpose_template1()
52 MyMatrix<double, 6, 7> M2_t = transpose(transpose(transpose(M))); in test_transpose_template2()
/llvm-project-15.0.7/mlir/test/Examples/Toy/Ch3/
H A Dast.toy5 return transpose(a) * transpose(b);
28 var f = multiply_transpose(transpose(a), c);
39 # CHECK-NEXT: Call 'transpose' [ @{{.*}}ast.toy:5:10
42 # CHECK-NEXT: Call 'transpose' [ @{{.*}}ast.toy:5:25
71 # CHECK-NEXT: Call 'transpose' [ @{{.*}}ast.toy:28:30
H A Dcodegen.toy5 return transpose(a) * transpose(b);
18 # CHECK: [[VAL_2:%.*]] = toy.transpose([[VAL_0]] : tensor<*xf64>) to tensor<*xf64>
19 # CHECK-NEXT: [[VAL_3:%.*]] = toy.transpose([[VAL_1]] : tensor<*xf64>) to tensor<*xf64>
/llvm-project-15.0.7/mlir/test/Examples/Toy/Ch5/
H A Dast.toy5 return transpose(a) * transpose(b);
28 var f = multiply_transpose(transpose(a), c);
39 # CHECK-NEXT: Call 'transpose' [ @{{.*}}ast.toy:5:10
42 # CHECK-NEXT: Call 'transpose' [ @{{.*}}ast.toy:5:25
71 # CHECK-NEXT: Call 'transpose' [ @{{.*}}ast.toy:28:30
H A Dcodegen.toy5 return transpose(a) * transpose(b);
18 # CHECK: [[VAL_2:%.*]] = toy.transpose([[VAL_0]] : tensor<*xf64>) to tensor<*xf64>
19 # CHECK-NEXT: [[VAL_3:%.*]] = toy.transpose([[VAL_1]] : tensor<*xf64>) to tensor<*xf64>
/llvm-project-15.0.7/mlir/test/Examples/Toy/Ch4/
H A Dast.toy5 return transpose(a) * transpose(b);
28 var f = multiply_transpose(transpose(a), c);
39 # CHECK-NEXT: Call 'transpose' [ @{{.*}}ast.toy:5:10
42 # CHECK-NEXT: Call 'transpose' [ @{{.*}}ast.toy:5:25
71 # CHECK-NEXT: Call 'transpose' [ @{{.*}}ast.toy:28:30
H A Dcodegen.toy5 return transpose(a) * transpose(b);
18 # CHECK: [[VAL_2:%.*]] = toy.transpose([[VAL_0]] : tensor<*xf64>) to tensor<*xf64>
19 # CHECK-NEXT: [[VAL_3:%.*]] = toy.transpose([[VAL_1]] : tensor<*xf64>) to tensor<*xf64>
/llvm-project-15.0.7/mlir/test/Examples/Toy/Ch2/
H A Dast.toy5 return transpose(a) * transpose(b);
28 var f = multiply_transpose(transpose(a), c);
39 # CHECK-NEXT: Call 'transpose' [ @{{.*}}ast.toy:5:10
42 # CHECK-NEXT: Call 'transpose' [ @{{.*}}ast.toy:5:25
71 # CHECK-NEXT: Call 'transpose' [ @{{.*}}ast.toy:28:30
H A Dcodegen.toy5 return transpose(a) * transpose(b);
18 # CHECK: [[VAL_2:%.*]] = toy.transpose([[VAL_0]] : tensor<*xf64>) to tensor<*xf64>
19 # CHECK-NEXT: [[VAL_3:%.*]] = toy.transpose([[VAL_1]] : tensor<*xf64>) to tensor<*xf64>
/llvm-project-15.0.7/mlir/test/Examples/Toy/Ch6/
H A Dast.toy5 return transpose(a) * transpose(b);
28 var f = multiply_transpose(transpose(a), c);
39 # CHECK-NEXT: Call 'transpose' [ @{{.*}}ast.toy:5:10
42 # CHECK-NEXT: Call 'transpose' [ @{{.*}}ast.toy:5:25
71 # CHECK-NEXT: Call 'transpose' [ @{{.*}}ast.toy:28:30
H A Dcodegen.toy5 return transpose(a) * transpose(b);
18 # CHECK: [[VAL_2:%.*]] = toy.transpose([[VAL_0]] : tensor<*xf64>) to tensor<*xf64>
19 # CHECK-NEXT: [[VAL_3:%.*]] = toy.transpose([[VAL_1]] : tensor<*xf64>) to tensor<*xf64>
/llvm-project-15.0.7/mlir/test/Examples/Toy/Ch1/
H A Dast.toy5 return transpose(a) * transpose(b);
28 var f = multiply_transpose(transpose(a), c);
39 # CHECK-NEXT: Call 'transpose' [ @{{.*}}ast.toy:5:10
42 # CHECK-NEXT: Call 'transpose' [ @{{.*}}ast.toy:5:25
71 # CHECK-NEXT: Call 'transpose' [ @{{.*}}ast.toy:28:30
/llvm-project-15.0.7/mlir/test/Examples/Toy/Ch7/
H A Dast.toy5 return transpose(a) * transpose(b);
28 var f = multiply_transpose(transpose(a), c);
39 # CHECK-NEXT: Call 'transpose' [ @{{.*}}ast.toy:5:10
42 # CHECK-NEXT: Call 'transpose' [ @{{.*}}ast.toy:5:25
71 # CHECK-NEXT: Call 'transpose' [ @{{.*}}ast.toy:28:30
H A Dstruct-codegen.toy12 return transpose(value.a) * transpose(value.b);
27 # CHECK-NEXT: [[VAL_2:%.*]] = toy.transpose([[VAL_1]] : tensor<*xf64>) to tensor<*xf64>
29 # CHECK-NEXT: [[VAL_4:%.*]] = toy.transpose([[VAL_3]] : tensor<*xf64>) to tensor<*xf64>
41 # OPT-NEXT: [[VAL_1:%.*]] = toy.transpose([[VAL_0]] : tensor<2x3xf64>) to tensor<3x2xf64>
H A Dcodegen.toy5 return transpose(a) * transpose(b);
18 # CHECK: [[VAL_2:%.*]] = toy.transpose([[VAL_0]] : tensor<*xf64>) to tensor<*xf64>
19 # CHECK-NEXT: [[VAL_3:%.*]] = toy.transpose([[VAL_1]] : tensor<*xf64>) to tensor<*xf64>
/llvm-project-15.0.7/llvm/test/Verifier/
H A Dmatrix-intrinsics-opaque-ptrs.ll3 define <4 x float> @transpose(<4 x float> %m, i32 %arg) {
14 %result.0 = call <4 x float> @llvm.matrix.transpose.v4f32(<4 x float> %m, i32 0, i32 0)
15 %result.1 = call <4 x float> @llvm.matrix.transpose.v4f32(<4 x float> %result.0, i32 3, i32 2)
16 %result.2 = call <4 x float> @llvm.matrix.transpose.v4f32(<4 x float> %result.1, i32 2, i32 1)
17 %result.3 = call <4 x float> @llvm.matrix.transpose.v4f32(<4 x float> %result.2, i32 %arg, i32 2)
18 %result.4 = call <4 x float> @llvm.matrix.transpose.v4f32(<4 x float> %result.3, i32 2, i32 %arg)
65 ; CHECK-NEXT: ptr @llvm.matrix.transpose.v4f32.v4i32
67 ; CHECK-NEXT: ptr @llvm.matrix.transpose.v4i32.v4f32
130 declare <4 x i32> @llvm.matrix.transpose.v4i32.v4f32(<4 x float>, i32, i32)
131 declare <4 x float> @llvm.matrix.transpose.v4f32(<4 x float>, i32, i32)
[all …]
H A Dmatrix-intrinsics.ll3 define <4 x float> @transpose(<4 x float> %m, i32 %arg) {
14 %result.0 = call <4 x float> @llvm.matrix.transpose.v4f32(<4 x float> %m, i32 0, i32 0)
15 %result.1 = call <4 x float> @llvm.matrix.transpose.v4f32(<4 x float> %result.0, i32 3, i32 2)
16 %result.2 = call <4 x float> @llvm.matrix.transpose.v4f32(<4 x float> %result.1, i32 2, i32 1)
17 %result.3 = call <4 x float> @llvm.matrix.transpose.v4f32(<4 x float> %result.2, i32 %arg, i32 2)
18 %result.4 = call <4 x float> @llvm.matrix.transpose.v4f32(<4 x float> %result.3, i32 2, i32 %arg)
65 ; CHECK-NEXT: <4 x float> (<4 x i32>, i32, i32)* @llvm.matrix.transpose.v4f32.v4i32
67 ; CHECK-NEXT: <4 x i32> (<4 x float>, i32, i32)* @llvm.matrix.transpose.v4i32.v4f32
154 declare <4 x i32> @llvm.matrix.transpose.v4i32.v4f32(<4 x float>, i32, i32)
155 declare <4 x float> @llvm.matrix.transpose.v4f32(<4 x float>, i32, i32)
[all …]
/llvm-project-15.0.7/mlir/test/Conversion/VectorToSCF/
H A Dvector-to-scf-mask-and-permutation-map.mlir3 // Ensure that the permutation map is lowered (by inserting a transpose op)
10 // CHECK: %[[MASK_T:.*]] = vector.transpose %[[MASK]], [1, 0] : vector<9x4xi1> to vector<4x…
21 // CHECK: %[[RESULT_T:.*]] = vector.transpose %[[RESULT]], [1, 0] : vector<4x9xf32> to vect…
24 // Vector load with mask + transpose.
/llvm-project-15.0.7/mlir/test/Dialect/Vector/
H A Dvector-reduce-to-contract.mlir278 %b = vector.transpose %a, [1, 0]: vector<4x2xi8> to vector<2x4xi8>
292 // CHECK: %[[T:.+]] = vector.transpose %[[ADD]], [1, 0]
296 %at = vector.transpose %a, [1, 0]: vector<4x2xf32> to vector<2x4xf32>
297 %bt = vector.transpose %b, [1, 0]: vector<4x2xf32> to vector<2x4xf32>
310 %condt = vector.transpose %cond, [1, 0]: vector<4x2xi1> to vector<2x4xi1>
311 %at = vector.transpose %a, [1, 0]: vector<4x2xf32> to vector<2x4xf32>
312 %bt = vector.transpose %b, [1, 0]: vector<4x2xf32> to vector<2x4xf32>
325 %at = vector.transpose %a, [1, 0]: vector<4x2xf32> to vector<2x4xf32>
326 %bt = vector.transpose %b, [1, 0]: vector<4x2xf32> to vector<2x4xf32>
350 // CHECK: vector.transpose
[all …]
H A Dcanonicalize.mlir228 // CHECK-NOT: transpose
239 // CHECK-NOT: transpose
250 // CHECK-NOT: transpose
261 // CHECK-NOT: transpose
287 // CHECK-NOT: transpose
349 // transpose [1, 0].
353 // transpose [1, 0].
421 // CHECK-NEXT: vector.transpose
423 // CHECK-NEXT: %[[F234:.*]] = vector.transpose
433 // CHECK-NEXT: vector.transpose
[all …]
/llvm-project-15.0.7/clang/test/SemaCXX/
H A Dmatrix-type-builtins.cpp11 typename MyMatrix<EltTy1, R1, C1>::matrix_t transpose(MyMatrix<EltTy0, R0, C0> &A) { in transpose() function
32 Mat1.value = transpose<unsigned, 2, 3, unsigned, 2, 3>(Mat1); in test_transpose_template()
35 Mat1.value = transpose<unsigned, 3, 3, unsigned, 2, 3>(Mat2); in test_transpose_template()
39 Mat3.value = transpose<unsigned, 3, 3, float, 3, 3>(Mat2); in test_transpose_template()

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