derek.holloway
7502bf64a4
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75 lines
4.3 KiB
MLIR
75 lines
4.3 KiB
MLIR
// RUN: mlir-opt --split-input-file --test-grid-all-slice-op-lowering --shard-simplify --cse %s | FileCheck %s
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shard.grid @grid_1d(shape = ?)
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// CHECK-LABEL: func.func @all_slice_op_lowering_of_dynamic_1d_tensor_on_dynamic_1d_grid
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func.func @all_slice_op_lowering_of_dynamic_1d_tensor_on_dynamic_1d_grid(
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// CHECK: %[[ARG:.*]]: tensor<?xf16>
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%arg0: tensor<?xf16>
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// CHECK-SAME: -> tensor<?xf16> {
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) -> tensor<?xf16> {
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// CHECK-DAG: %[[C0:.*]] = arith.constant 0 : index
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// CHECK-DAG: %[[PROC_IDX:.*]] = shard.process_multi_index on @grid_1d axes = [0] : index
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// CHECK-DAG: %[[SHARD_SIZE:.*]] = shard.grid_shape @grid_1d axes = [0] : index
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// CHECK: %[[TENSOR_AXIS_SIZE:.*]] = tensor.dim %[[ARG]], %c0 : tensor<?xf16>
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// CHECK: %[[AXIS_SIZE_CHECK_REMINDER:.*]] = arith.remui %[[TENSOR_AXIS_SIZE]], %[[SHARD_SIZE]] : index
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// CHECK: %[[AXIS_SIZE_CHECK:.*]] = arith.cmpi eq, %[[AXIS_SIZE_CHECK_REMINDER]], %[[C0]] : index
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// CHECK: cf.assert %[[AXIS_SIZE_CHECK]]
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// CHECK: %[[RESULT_AXIS_SIZE:.*]] = arith.divui %[[TENSOR_AXIS_SIZE]], %[[SHARD_SIZE]] : index
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// CHECK: %[[SLICE_OFFSET:.*]] = arith.muli %[[PROC_IDX]], %[[RESULT_AXIS_SIZE]] : index
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// CHECK: %[[RESULT:.*]] = tensor.extract_slice %[[ARG]][%[[SLICE_OFFSET]]] [%[[RESULT_AXIS_SIZE]]] [1] : tensor<?xf16> to tensor<?xf16>
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%0 = shard.all_slice %arg0 on @grid_1d grid_axes = [0] slice_axis = 0 : tensor<?xf16> -> tensor<?xf16>
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// CHECK: return %[[RESULT]] : tensor<?xf16>
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return %0 : tensor<?xf16>
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}
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// -----
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shard.grid @grid_1d(shape = 2)
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// CHECK-LABEL: func.func @all_slice_op_lowering_of_static_1d_tensor_on_static_1d_grid
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func.func @all_slice_op_lowering_of_static_1d_tensor_on_static_1d_grid(
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// CHECK: %[[ARG:.*]]: tensor<2xf16>
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%arg0: tensor<2xf16>
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// CHECK-SAME: -> tensor<1xf16> {
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) -> tensor<1xf16> {
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// CHECK-DAG: %[[C1:.*]] = arith.constant 1 : index
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// CHECK: %[[PROC_IDX:.*]] = shard.process_multi_index on @grid_1d axes = [0] : index
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// CHECK: %[[SLICE:.*]] = tensor.extract_slice %[[ARG]][%[[PROC_IDX]]] [%[[C1]]] [1] : tensor<2xf16> to tensor<?xf16>
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// CHECK: %[[RESULT:.*]] = tensor.cast %[[SLICE]] : tensor<?xf16> to tensor<1xf16>
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%0 = shard.all_slice %arg0 on @grid_1d grid_axes = [0] slice_axis = 0 : tensor<2xf16> -> tensor<1xf16>
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// CHECK: return %[[RESULT]] : tensor<1xf16>
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return %0 : tensor<1xf16>
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}
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// -----
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// CHECK: #map = affine_map<()[s0, s1, s2] -> (s0 * s1 + s2)>
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shard.grid @grid_4d(shape = ?x?x?x?)
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// CHECK-LABEL: func.func @all_slice_op_lowering_of_dynamic_2d_tensor_on_dynamic_4d_grid
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func.func @all_slice_op_lowering_of_dynamic_2d_tensor_on_dynamic_4d_grid(
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// CHECK: %[[ARG:.*]]: tensor<?x?xf16>
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%arg0 : tensor<?x?xf16>
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// CHECK-SAME: -> tensor<?x?xf16> {
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) -> tensor<?x?xf16> {
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// CHECK-DAG: %[[C1:.*]] = arith.constant 1 : index
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// CHECK-DAG: %[[C0:.*]] = arith.constant 0 : index
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// CHECK-DAG: %[[IN_GROUP_PROC_MULTI_IDX:.*]]:2 = shard.process_multi_index on @grid_4d axes = [3, 1] : index, index
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// CHECK-DAG: %[[PROC_GROUP_SHAPE:.*]]:2 = shard.grid_shape @grid_4d axes = [3, 1] : index, index
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// CHECK: %[[PROC_GROUP_SIZE:.*]] = arith.muli %[[PROC_GROUP_SHAPE]]#0, %[[PROC_GROUP_SHAPE]]#1 : index
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// CHECK: %[[scatter_dim_SIZE:.*]] = tensor.dim %[[ARG]], %[[C1]] : tensor<?x?xf16>
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// CHECK: %[[AXIS_SIZE_CHECK_REMINDER:.*]] = arith.remui %[[scatter_dim_SIZE]], %[[PROC_GROUP_SIZE]] : index
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// CHECK: %[[AXIS_SIZE_CHECK:.*]] = arith.cmpi eq, %[[AXIS_SIZE_CHECK_REMINDER]], %[[C0]] : index
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// CHECK: cf.assert %[[AXIS_SIZE_CHECK]]
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// CHECK: %[[RESULT_scatter_dim_SIZE:.*]] = arith.divui %[[scatter_dim_SIZE]], %[[PROC_GROUP_SIZE]] : index
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// CHECK: %[[PROC_IN_GROUP_LINEAR_IDX:.*]] = affine.apply #map()[%[[IN_GROUP_PROC_MULTI_IDX]]#0, %[[PROC_GROUP_SHAPE]]#1, %[[IN_GROUP_PROC_MULTI_IDX]]#1]
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// CHECK: %[[AXIS_0_SIZE:.*]] = tensor.dim %[[ARG]], %[[C0]] : tensor<?x?xf16>
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// CHECK: %[[scatter_dim_OFFSET:.*]] = arith.muli %[[PROC_IN_GROUP_LINEAR_IDX]], %[[RESULT_scatter_dim_SIZE]] : index
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// CHECK: %[[RESULT:.*]] = tensor.extract_slice %[[ARG]][0, %[[scatter_dim_OFFSET]]] [%[[AXIS_0_SIZE]], %[[RESULT_scatter_dim_SIZE]]] [1, 1] : tensor<?x?xf16> to tensor<?x?xf16>
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%0 = shard.all_slice %arg0 on @grid_4d grid_axes = [3, 1] slice_axis = 1 : tensor<?x?xf16> -> tensor<?x?xf16>
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// CHECK: return %[[RESULT]] : tensor<?x?xf16>
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return %0 : tensor<?x?xf16>
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}
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