derek.holloway
7502bf64a4
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83 lines
3.3 KiB
MLIR
83 lines
3.3 KiB
MLIR
// RUN: mlir-opt -split-input-file -transform-interpreter %s | FileCheck %s
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module attributes {transform.with_named_sequence} {
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transform.named_sequence @__transform_main(%root : !transform.any_op {transform.readonly}) {
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%func_op = transform.structured.match ops{["func.func"]} in %root : (!transform.any_op) -> !transform.op<"func.func">
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transform.apply_patterns to %func_op {
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transform.apply_patterns.linalg.fold_pack_unpack_into_empty
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} : !transform.op<"func.func">
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transform.yield
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}
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}
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func.func @pack_empty(%arg0: tensor<8x8x32x32xf32>) -> tensor<8x8x32x32xf32> {
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%empty_unpacked = tensor.empty() : tensor<256x256xf32>
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%packed = linalg.pack %empty_unpacked
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inner_dims_pos = [0, 1] inner_tiles = [32, 32]
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into %arg0 : tensor<256x256xf32> -> tensor<8x8x32x32xf32>
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return %packed : tensor<8x8x32x32xf32>
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}
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// CHECK-LABEL: func.func @pack_empty(
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// CHECK-SAME: %[[T:.+]]: tensor<8x8x32x32xf32>
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// CHECK-NOT: linalg.pack
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// CHECK: return %[[T]] : tensor<8x8x32x32xf32>
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func.func @pack_empty_dynamic(%arg0: tensor<?x?x32x32xf32>, %dim0: index, %dim1: index) -> tensor<?x?x32x32xf32> {
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%empty_unpacked = tensor.empty(%dim0, %dim1) : tensor<?x?xf32>
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%packed = linalg.pack %empty_unpacked
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inner_dims_pos = [0, 1] inner_tiles = [32, 32]
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into %arg0 : tensor<?x?xf32> -> tensor<?x?x32x32xf32>
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return %packed : tensor<?x?x32x32xf32>
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}
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// CHECK-LABEL: func.func @pack_empty_dynamic(
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// CHECK-SAME: %[[T:.+]]: tensor<?x?x32x32xf32>,
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// CHECK-SAME: %[[DIM0:[a-zA-Z0-9_]+]]: index,
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// CHECK-SAME: %[[DIM1:[a-zA-Z0-9_]+]]: index
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// CHECK-NOT: linalg.pack
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// CHECK: return %[[T]] : tensor<?x?x32x32xf32>
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func.func @unpack_empty(%arg0: tensor<256x256xf32>) -> tensor<256x256xf32> {
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%empty_packed = tensor.empty() : tensor<8x8x32x32xf32>
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%unpacked = linalg.unpack %empty_packed
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inner_dims_pos = [0, 1] inner_tiles = [32, 32]
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into %arg0 : tensor<8x8x32x32xf32> -> tensor<256x256xf32>
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return %unpacked : tensor<256x256xf32>
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}
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// CHECK-LABEL: func.func @unpack_empty(
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// CHECK-SAME: %[[T:.+]]: tensor<256x256xf32>
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// CHECK-NOT: linalg.unpack
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// CHECK: return %[[T]] : tensor<256x256xf32>
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func.func @unpack_empty_dynamic(%arg0: tensor<?x?xf32>, %dim0: index, %dim1: index) -> tensor<?x?xf32> {
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%empty_packed = tensor.empty(%dim0, %dim1) : tensor<?x?x32x32xf32>
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%unpacked = linalg.unpack %empty_packed
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inner_dims_pos = [0, 1] inner_tiles = [32, 32]
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into %arg0 : tensor<?x?x32x32xf32> -> tensor<?x?xf32>
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return %unpacked : tensor<?x?xf32>
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}
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// CHECK-LABEL: func.func @unpack_empty_dynamic(
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// CHECK-SAME: %[[T:.+]]: tensor<?x?xf32>,
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// CHECK-SAME: %[[DIM0:[a-zA-Z0-9_]+]]: index,
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// CHECK-SAME: %[[DIM1:[a-zA-Z0-9_]+]]: index
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// CHECK-NOT: linalg.unpack
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// CHECK: return %[[T]] : tensor<?x?xf32>
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func.func @pack_padded_empty(%arg0: tensor<8x8x32x32xf32>) -> tensor<8x8x32x32xf32> {
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%pad = arith.constant 1.0 : f32
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%empty_unpacked = tensor.empty() : tensor<256x256xf32>
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%packed = linalg.pack %empty_unpacked
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padding_value(%pad : f32)
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inner_dims_pos = [0, 1] inner_tiles = [32, 32]
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into %arg0 : tensor<256x256xf32> -> tensor<8x8x32x32xf32>
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return %packed : tensor<8x8x32x32xf32>
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}
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// CHECK-LABEL: func.func @pack_padded_empty(
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// CHECK-SAME: %[[T:.+]]: tensor<8x8x32x32xf32>
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// CHECK: %[[PACK:.+]] = linalg.pack
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// CHECK: return %[[PACK]] : tensor<8x8x32x32xf32>
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