1// RUN: mlir-opt --split-input-file --canonicalize %s | FileCheck %s 2 3func.func @single_concat(%arg0: tensor<1x1x7x7xf32>) -> tensor<1x2x7x7xf32> { 4 %0 = tosa.concat %arg0, %arg0 {axis = 1 : i32} : (tensor<1x1x7x7xf32>, tensor<1x1x7x7xf32>) -> tensor<1x2x7x7xf32> 5 return %0 : tensor<1x2x7x7xf32> 6} 7 8// CHECK-LABEL: func.func @single_concat( 9// CHECK-SAME: %[[VAL_0:.*]]: tensor<1x1x7x7xf32>) -> tensor<1x2x7x7xf32> { 10// CHECK: %[[VAL_1:.*]] = tosa.concat %[[VAL_0]], %[[VAL_0]] {axis = 1 : i32} : (tensor<1x1x7x7xf32>, tensor<1x1x7x7xf32>) -> tensor<1x2x7x7xf32> 11// CHECK: return %[[VAL_1]] : tensor<1x2x7x7xf32> 12// CHECK: } 13 14// ----- 15 16func.func @concat_different_axis(%arg0: tensor<1x1x7x7xf32>) -> tensor<2x2x7x7xf32> { 17 %0 = tosa.concat %arg0, %arg0 {axis = 1 : i32} : (tensor<1x1x7x7xf32>, tensor<1x1x7x7xf32>) -> tensor<1x2x7x7xf32> 18 %1 = tosa.concat %0, %0 {axis = 0 : i32} : (tensor<1x2x7x7xf32>, tensor<1x2x7x7xf32>) -> tensor<2x2x7x7xf32> 19 return %1 : tensor<2x2x7x7xf32> 20} 21 22// CHECK-LABEL: func.func @concat_different_axis( 23// CHECK-SAME: %[[VAL_0:.*]]: tensor<1x1x7x7xf32>) -> tensor<2x2x7x7xf32> { 24// CHECK: %[[VAL_1:.*]] = tosa.concat %[[VAL_0]], %[[VAL_0]] {axis = 1 : i32} : (tensor<1x1x7x7xf32>, tensor<1x1x7x7xf32>) -> tensor<1x2x7x7xf32> 25// CHECK: %[[VAL_2:.*]] = tosa.concat %[[VAL_1]], %[[VAL_1]] {axis = 0 : i32} : (tensor<1x2x7x7xf32>, tensor<1x2x7x7xf32>) -> tensor<2x2x7x7xf32> 26// CHECK: return %[[VAL_2]] : tensor<2x2x7x7xf32> 27// CHECK: } 28 29// ----- 30 31func.func @fold_concats(%arg0: tensor<1x1x7x7xf32>) -> tensor<1x4x7x7xf32> { 32 %tmp = tensor.empty() : tensor<1x1x7x7xf32> 33 %0 = tosa.concat %arg0, %arg0 {axis = 1 : i32} : (tensor<1x1x7x7xf32>, tensor<1x1x7x7xf32>) -> tensor<1x2x7x7xf32> 34 %1 = tosa.concat %tmp, %0, %tmp {axis = 1 : i32} : (tensor<1x1x7x7xf32>, tensor<1x2x7x7xf32>, tensor<1x1x7x7xf32>) -> tensor<1x4x7x7xf32> 35 return %1 : tensor<1x4x7x7xf32> 36} 37 38// CHECK-LABEL: func.func @fold_concats( 39// CHECK-SAME: %[[VAL_0:.*]]: tensor<1x1x7x7xf32>) -> tensor<1x4x7x7xf32> { 40// CHECK: %[[VAL_1:.*]] = tensor.empty() : tensor<1x1x7x7xf32> 41// CHECK: %[[VAL_2:.*]] = tosa.concat %[[VAL_1]], %[[VAL_0]], %[[VAL_0]], %[[VAL_1]] {axis = 1 : i32} : (tensor<1x1x7x7xf32>, tensor<1x1x7x7xf32>, tensor<1x1x7x7xf32>, tensor<1x1x7x7xf32>) -> tensor<1x4x7x7xf32> 42// CHECK: return %[[VAL_2]] : tensor<1x4x7x7xf32> 43// CHECK: } 44 45// ----- 46 47func.func @nested_fold(%arg0: tensor<1x1x7x7xf32>) -> tensor<1x8x7x7xf32> { 48 %tmp = tensor.empty() : tensor<1x1x7x7xf32> 49 %0 = tosa.concat %arg0, %arg0 {axis = 1 : i32} : (tensor<1x1x7x7xf32>, tensor<1x1x7x7xf32>) -> tensor<1x2x7x7xf32> 50 %1 = tosa.concat %tmp, %0, %tmp {axis = 1 : i32} : (tensor<1x1x7x7xf32>, tensor<1x2x7x7xf32>, tensor<1x1x7x7xf32>) -> tensor<1x4x7x7xf32> 51 %2 = tosa.concat %1, %1 {axis = 1 : i32} : (tensor<1x4x7x7xf32>, tensor<1x4x7x7xf32>) -> tensor<1x8x7x7xf32> 52 return %2 : tensor<1x8x7x7xf32> 53} 54 55// CHECK-LABEL: func.func @nested_fold( 56// CHECK-SAME: %[[VAL_0:.*]]: tensor<1x1x7x7xf32>) -> tensor<1x8x7x7xf32> { 57// CHECK: %[[VAL_1:.*]] = tensor.empty() : tensor<1x1x7x7xf32> 58// CHECK: %[[VAL_2:.*]] = tosa.concat %[[VAL_1]], %[[VAL_0]], %[[VAL_0]], %[[VAL_1]], %[[VAL_1]], %[[VAL_0]], %[[VAL_0]], %[[VAL_1]] {axis = 1 : i32} : (tensor<1x1x7x7xf32>, tensor<1x1x7x7xf32>, tensor<1x1x7x7xf32>, tensor<1x1x7x7xf32>, tensor<1x1x7x7xf32>, tensor<1x1x7x7xf32>, tensor<1x1x7x7xf32>, tensor<1x1x7x7xf32>) -> tensor<1x8x7x7xf32> 59// CHECK: return %[[VAL_2]] : tensor<1x8x7x7xf32> 60// CHECK: } 61 62// ----- 63 64func.func @wide_fold(%arg0: tensor<1x1x7x7xf32>, %arg1: tensor<1x1x7x7xf32>) -> tensor<1x4x7x7xf32> { 65 %0 = tosa.concat %arg0, %arg0 {axis = 1 : i32} : (tensor<1x1x7x7xf32>, tensor<1x1x7x7xf32>) -> tensor<1x2x7x7xf32> 66 %1 = tosa.concat %arg1, %arg1 {axis = 1 : i32} : (tensor<1x1x7x7xf32>, tensor<1x1x7x7xf32>) -> tensor<1x2x7x7xf32> 67 %2 = tosa.concat %0, %1 {axis = 1 : i32} : (tensor<1x2x7x7xf32>, tensor<1x2x7x7xf32>) -> tensor<1x4x7x7xf32> 68 return %2 : tensor<1x4x7x7xf32> 69} 70 71// CHECK-LABEL: func.func @wide_fold( 72// CHECK-SAME: %[[VAL_0:.*]]: tensor<1x1x7x7xf32>, 73// CHECK-SAME: %[[VAL_1:.*]]: tensor<1x1x7x7xf32>) -> tensor<1x4x7x7xf32> { 74// CHECK: %[[VAL_2:.*]] = tosa.concat %[[VAL_0]], %[[VAL_0]], %[[VAL_1]], %[[VAL_1]] {axis = 1 : i32} : (tensor<1x1x7x7xf32>, tensor<1x1x7x7xf32>, tensor<1x1x7x7xf32>, tensor<1x1x7x7xf32>) -> tensor<1x4x7x7xf32> 75// CHECK: return %[[VAL_2]] : tensor<1x4x7x7xf32> 76// CHECK: } 77 78// ----- 79 80func.func @partially_foldable(%arg0: tensor<1x1x8x8xf32>, %arg1: tensor<1x2x4x8xf32>) -> tensor<1x4x8x8xf32> { 81 %0 = tosa.concat %arg0, %arg0 {axis = 1 : i32} : (tensor<1x1x8x8xf32>, tensor<1x1x8x8xf32>) -> tensor<1x2x8x8xf32> 82 %1 = tosa.concat %arg1, %arg1 {axis = 2 : i32} : (tensor<1x2x4x8xf32>, tensor<1x2x4x8xf32>) -> tensor<1x2x8x8xf32> 83 %2 = tosa.concat %0, %1 {axis = 1 : i32} : (tensor<1x2x8x8xf32>, tensor<1x2x8x8xf32>) -> tensor<1x4x8x8xf32> 84 return %2 : tensor<1x4x8x8xf32> 85} 86 87// CHECK-LABEL: func.func @partially_foldable( 88// CHECK-SAME: %[[VAL_0:.*]]: tensor<1x1x8x8xf32>, 89// CHECK-SAME: %[[VAL_1:.*]]: tensor<1x2x4x8xf32>) -> tensor<1x4x8x8xf32> { 90// CHECK: %[[VAL_2:.*]] = tosa.concat %[[VAL_1]], %[[VAL_1]] {axis = 2 : i32} : (tensor<1x2x4x8xf32>, tensor<1x2x4x8xf32>) -> tensor<1x2x8x8xf32> 91// CHECK: %[[VAL_3:.*]] = tosa.concat %[[VAL_0]], %[[VAL_0]], %[[VAL_2]] {axis = 1 : i32} : (tensor<1x1x8x8xf32>, tensor<1x1x8x8xf32>, tensor<1x2x8x8xf32>) -> tensor<1x4x8x8xf32> 92// CHECK: return %[[VAL_3]] : tensor<1x4x8x8xf32> 93// CHECK: } 94