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llvm-project/mlir/test/Dialect/Linalg/subtensor-of-padtensor.mlir
River Riddle 92d38adb83 [mlir][NFC] Update textual references of func to func.func in Linalg tests 
The special case parsing of `func` operations is being removed.
2022-04-20 22:17:28 -07:00

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// RUN: mlir-opt %s -test-linalg-transform-patterns=test-swap-subtensor-padtensor -canonicalize -split-input-file | FileCheck %s
// CHECK-LABEL: @static_data_only(
// CHECK-SAME: %[[ARG0:.*]]: tensor<4x5xf32>
// CHECK: %[[RESULT:.*]] = tensor.extract_slice %[[ARG0]][1, 2] [2, 1] [1, 1] : tensor<4x5xf32> to tensor<2x1xf32>
// CHECK: return %[[RESULT]]
func.func @static_data_only(%arg0 : tensor<4x5xf32>, %pad : f32)
-> tensor<2x1xf32> {
%0 = tensor.pad %arg0 low[0, 0] high[7, 8] {
^bb0(%arg1: index, %arg2: index):
tensor.yield %pad : f32
} : tensor<4x5xf32> to tensor<11x13xf32>
%1 = tensor.extract_slice %0[1, 2] [2, 1] [1, 1] : tensor<11x13xf32> to tensor<2x1xf32>
return %1 : tensor<2x1xf32>
}
// -----
// CHECK-LABEL: @static_high_pad_only
// CHECK-SAME: %[[ARG0:.*]]: tensor<4x5xf32>, %[[PAD:.*]]: f32
// CHECK-NOT: tensor.pad
// CHECK-NOT: tensor.extract_slice
// CHECK: %[[RESULT:.*]] = tensor.generate
// CHECK: tensor.yield %[[PAD]]
// CHECK: return %[[RESULT]] : tensor<2x4xf32>
func.func @static_high_pad_only(%arg0 : tensor<4x5xf32>, %pad : f32)
-> tensor<2x4xf32> {
%0 = tensor.pad %arg0 low[0, 0] high[7, 8] {
^bb0(%arg1: index, %arg2: index):
tensor.yield %pad : f32
} : tensor<4x5xf32> to tensor<11x13xf32>
%1 = tensor.extract_slice %0[4, 5] [2, 4] [1, 1] : tensor<11x13xf32> to tensor<2x4xf32>
return %1 : tensor<2x4xf32>
}
// -----
// CHECK-LABEL: @static_low_pad_only
// CHECK-SAME: %[[ARG0:.*]]: tensor<4x5xf32>, %[[PAD:.*]]: f32
// CHECK-NOT: tensor.pad
// CHECK-NOT: tensor.extract_slice
// CHECK: %[[RESULT:.*]] = tensor.generate
// CHECK: tensor.yield %[[PAD]]
// CHECK: return %[[RESULT]] : tensor<2x3xf32>
func.func @static_low_pad_only(%arg0 : tensor<4x5xf32>, %pad : f32)
-> tensor<2x3xf32> {
%0 = tensor.pad %arg0 low[3, 7] high[7, 8] {
^bb0(%arg1: index, %arg2: index):
tensor.yield %pad : f32
} : tensor<4x5xf32> to tensor<14x20xf32>
%1 = tensor.extract_slice %0[1, 3] [2, 3] [1, 1] : tensor<14x20xf32> to tensor<2x3xf32>
return %1 : tensor<2x3xf32>
}
// -----
// CHECK-LABEL: @static_low_pad_only_2
// CHECK-SAME: %[[ARG0:.*]]: tensor<4x5xf32>, %[[PAD:.*]]: f32
// CHECK-NOT: tensor.pad
// CHECK-NOT: tensor.extract_slice
// CHECK: %[[RESULT:.*]] = tensor.generate
// CHECK: tensor.yield %[[PAD]]
// CHECK: return %[[RESULT]] : tensor<1x3xf32>
func.func @static_low_pad_only_2(%arg0 : tensor<4x5xf32>, %pad : f32)
-> tensor<1x3xf32> {
%0 = tensor.pad %arg0 low[3, 7] high[7, 8] {
^bb0(%arg1: index, %arg2: index):
tensor.yield %pad : f32
} : tensor<4x5xf32> to tensor<14x20xf32>
%1 = tensor.extract_slice %0[1, 3] [1, 3] [1, 1] : tensor<14x20xf32> to tensor<1x3xf32>
return %1 : tensor<1x3xf32>
}
// -----
// CHECK-LABEL: @static_mixed_data_high_pad
// CHECK-SAME: %[[ARG0:.*]]: tensor<4x5xf32>, %[[PAD:.*]]: f32
// CHECK-NOT: tensor.pad
// CHECK: %[[SUBTENSOR:.*]] = tensor.extract_slice %[[ARG0]][2, 4] [2, 1] [1, 1] : tensor<4x5xf32> to tensor<2x1xf32>
// CHECK: %[[RESULT:.*]] = tensor.pad %[[SUBTENSOR]] low[0, 0] high[1, 3]
// CHECK: tensor.yield %[[PAD]]
// CHECK: return %[[RESULT]] : tensor<3x4xf32>
func.func @static_mixed_data_high_pad(%arg0 : tensor<4x5xf32>, %pad : f32)
-> tensor<3x4xf32> {
%0 = tensor.pad %arg0 low[0, 0] high[7, 8] {
^bb0(%arg1: index, %arg2: index):
tensor.yield %pad : f32
} : tensor<4x5xf32> to tensor<11x13xf32>
%1 = tensor.extract_slice %0[2, 4] [3, 4] [1, 1] : tensor<11x13xf32> to tensor<3x4xf32>
return %1 : tensor<3x4xf32>
}
// -----
// CHECK-LABEL: @static_mixed_data_low_pad
// CHECK-SAME: %[[ARG0:.*]]: tensor<4x5xf32>, %[[PAD:.*]]: f32
// CHECK-NOT: tensor.pad
// CHECK: %[[SUBTENSOR:.*]] = tensor.extract_slice %[[ARG0]][0, 0] [2, 1] [1, 1] : tensor<4x5xf32> to tensor<2x1xf32>
// CHECK: %[[RESULT:.*]] = tensor.pad %[[SUBTENSOR]] low[1, 3] high[0, 0]
// CHECK: tensor.yield %[[PAD]]
// CHECK: return %[[RESULT]] : tensor<3x4xf32>
func.func @static_mixed_data_low_pad(%arg0 : tensor<4x5xf32>, %pad : f32)
-> tensor<3x4xf32> {
%0 = tensor.pad %arg0 low[3, 7] high[7, 8] {
^bb0(%arg1: index, %arg2: index):
tensor.yield %pad : f32
} : tensor<4x5xf32> to tensor<14x20xf32>
%1 = tensor.extract_slice %0[2, 4] [3, 4] [1, 1] : tensor<14x20xf32> to tensor<3x4xf32>
return %1 : tensor<3x4xf32>
}
// -----
// CHECK-LABEL: @static_mixed_data_low_high_pad
// CHECK-SAME: %[[ARG0:.*]]: tensor<4x5xf32>, %[[PAD:.*]]: f32
// CHECK-NOT: tensor.pad
// CHECK: %[[RESULT:.*]] = tensor.pad %[[ARG0]] low[1, 1] high[2, 3]
// CHECK: tensor.yield %[[PAD]]
// CHECK: return %[[RESULT]] : tensor<7x9xf32>
func.func @static_mixed_data_low_high_pad(%arg0 : tensor<4x5xf32>, %pad : f32)
-> tensor<7x9xf32> {
%0 = tensor.pad %arg0 low[2, 3] high[7, 8] {
^bb0(%arg1: index, %arg2: index):
tensor.yield %pad : f32
} : tensor<4x5xf32> to tensor<13x16xf32>
%1 = tensor.extract_slice %0[1, 2] [7, 9] [1, 1] : tensor<13x16xf32> to tensor<7x9xf32>
return %1 : tensor<7x9xf32>
}
// -----
// CHECK-LABEL: @dynamic_high_pad
// CHECK-SAME: %[[ARG0:.*]]: tensor<?x5xf32>
// CHECK-NOT: tensor.pad
// CHECK: %[[C0:.*]] = arith.constant 0 : index
// CHECK: tensor.dim %[[ARG0]], %[[C0]]
// CHECK: %[[RESULT:.*]] = scf.if %{{.*}} -> (tensor<3x4xf32>) {
// CHECK: %[[GEN:.*]] = tensor.generate
// CHECK: scf.yield %[[GEN]]
// CHECK: } else {
// CHECK: %[[SUBTENSOR:.*]] = tensor.extract_slice %[[ARG0]][%{{.*}}, 4] [%{{.*}}, 1] [1, 1] : tensor<?x5xf32> to tensor<?x1xf32>
// CHECK: %[[PADTENSOR:.*]] = tensor.pad %[[SUBTENSOR]] low[0, 0] high[%{{.*}}, 3]
// CHECK: scf.yield %[[PADTENSOR]]
// CHECK: }
// CHECK: return %[[RESULT]]
func.func @dynamic_high_pad(%arg0 : tensor<?x5xf32>, %h1: index, %pad : f32) -> tensor<3x4xf32> {
%0 = tensor.pad %arg0 low[0, 0] high[%h1, 8] {
^bb0(%arg1: index, %arg2: index):
tensor.yield %pad : f32
} : tensor<?x5xf32> to tensor<?x13xf32>
%1 = tensor.extract_slice %0[2, 4] [3, 4] [1, 1] : tensor<?x13xf32> to tensor<3x4xf32>
return %1 : tensor<3x4xf32>
}
// -----
// CHECK-LABEL: @dynamic_extract_size
// CHECK-SAME: %[[ARG0:.*]]: tensor<?x5xf32>, %[[ARG1:.*]]: index
// CHECK-NOT: tensor.pad
// CHECK: %[[C0:.*]] = arith.constant 0 : index
// CHECK: tensor.dim %[[ARG0]], %[[C0]]
// CHECK: %[[RESULT:.*]] = scf.if %{{.*}} -> (tensor<?x4xf32>) {
// CHECK: %[[GEN:.*]] = tensor.generate %[[ARG1]]
// CHECK: scf.yield %[[GEN]]
// CHECK: } else {
// CHECK: %[[SUBTENSOR:.*]] = tensor.extract_slice %[[ARG0]][%{{.*}}, 4] [%{{.*}}, 1] [1, 1] : tensor<?x5xf32> to tensor<?x1xf32>
// CHECK: %[[PADTENSOR:.*]] = tensor.pad %[[SUBTENSOR]] low[0, 0] high[%{{.*}}, 3]
// CHECK: scf.yield %[[PADTENSOR]]
// CHECK: }
// CHECK: return %[[RESULT]]
func.func @dynamic_extract_size(%arg0 : tensor<?x5xf32>, %s1: index, %pad : f32) -> tensor<?x4xf32> {
%0 = tensor.pad %arg0 low[0, 0] high[7, 8] {
^bb0(%arg1: index, %arg2: index):
tensor.yield %pad : f32
} : tensor<?x5xf32> to tensor<?x13xf32>
%1 = tensor.extract_slice %0[2, 4] [%s1, 4] [1, 1] : tensor<?x13xf32> to tensor<?x4xf32>
return %1 : tensor<?x4xf32>
}
// -----
// CHECK-LABEL: @dynamic_zero_low_padding
// CHECK: scf.if
// CHECK: tensor.generate
// CHECK: else
// CHECK: %[[SLICE:.*]] = tensor.extract_slice
// CHECK: tensor.pad %[[SLICE]] low[0, 0]
func.func @dynamic_zero_low_padding(%arg0 : tensor<?x?xf32>, %pad : f32,
%o1 : index, %o2 : index,
%s1 : index, %s2 : index)
-> tensor<?x?xf32> {
%0 = tensor.pad %arg0 low[0, 0] high[7, 8] {
^bb0(%arg1: index, %arg2: index):
tensor.yield %pad : f32
} : tensor<?x?xf32> to tensor<?x?xf32>
%1 = tensor.extract_slice %0[%o1, %o2] [%s1, %s2] [1, 1] : tensor<?x?xf32> to tensor<?x?xf32>
return %1 : tensor<?x?xf32>
}
// -----
// CHECK-LABEL: @dynamic_zero_high_padding
// CHECK: scf.if
// CHECK: tensor.generate
// CHECK: else
// CHECK: %[[SLICE:.*]] = tensor.extract_slice
// CHECK: tensor.pad %[[SLICE]] low[%{{.*}}, %{{.*}}] high[0, 0]
func.func @dynamic_zero_high_padding(%arg0 : tensor<?x?xf32>, %pad : f32,
%o1 : index, %o2 : index,
%s1 : index, %s2 : index)
-> tensor<?x?xf32> {
%0 = tensor.pad %arg0 low[7, 8] high[0, 0] {
^bb0(%arg1: index, %arg2: index):
tensor.yield %pad : f32
} : tensor<?x?xf32> to tensor<?x?xf32>
%1 = tensor.extract_slice %0[%o1, %o2] [%s1, %s2] [1, 1] : tensor<?x?xf32> to tensor<?x?xf32>
return %1 : tensor<?x?xf32>
}
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