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whitneywhtsangwhitneywhtsang
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[LoadStoreOpToLLVM] getPitch code refactoring (#4642)
Benchmark BMG CI: https://github.com/intel/intel-xpu-backend-for-triton/actions/runs/16148676218 (passes) Signed-off-by: Whitney Tsang <whitney.tsang@intel.com>
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‎test/TritonIntelGPU/prefetch-to-llvm.mlir‎

Lines changed: 20 additions & 41 deletions
Original file line numberDiff line numberDiff line change
@@ -124,21 +124,28 @@ module attributes {"ttg.num-warps" = 8 : i32, "ttg.threads-per-warp" = 16 : i32}
124124
#dpas = #ttig.dpas<{repeatCount = 8, systolicDepth = 8, executionSize = 16, opsPerChan = 2, threadsPerWarp = 16, warpsPerCTA = [2, 2], repCluster = [1, 1], A = [8, 16], B = [16, 16], C = [8, 16]}>
125125
module attributes {"ttg.num-warps" = 4 : i32, "ttg.threads-per-warp" = 16 : i32} {
126126
// CHECK-LABEL: llvm.func spir_kernelcc @prefetch_tensor_of_pointers
127-
tt.func public @prefetch_tensor_of_pointers(%tensor_of_ptr: tensor<64x32x!tt.ptr<f16>, #ttg.dot_op<{opIdx = 0, parent = #dpas, kWidth = 1}>>) {
127+
tt.func public @prefetch_tensor_of_pointers(%arg0: !tt.ptr<f16>) {
128+
%0 = tt.make_range {end = 64 : i32, start = 0 : i32} : tensor<64xi32, #ttg.slice<{dim = 1, parent = #ttg.dot_op<{opIdx = 0, parent = #dpas, kWidth = 1}>}>>
129+
%1 = tt.expand_dims %0 {axis = 1 : i32} : tensor<64xi32, #ttg.slice<{dim = 1, parent = #ttg.dot_op<{opIdx = 0, parent = #dpas, kWidth = 1}>}>> -> tensor<64x1xi32, #ttg.dot_op<{opIdx = 0, parent = #dpas, kWidth = 1}>>
130+
%2 = arith.constant dense<64> : tensor<64x1xi32, #ttg.dot_op<{opIdx = 0, parent = #dpas, kWidth = 1}>>
131+
%3 = arith.muli %1, %2 : tensor<64x1xi32, #ttg.dot_op<{opIdx = 0, parent = #dpas, kWidth = 1}>>
132+
%4 = tt.make_range {end = 32 : i32, start = 0 : i32} : tensor<32xi32, #ttg.slice<{dim = 0, parent = #ttg.dot_op<{opIdx = 0, parent = #dpas, kWidth = 1}>}>>
133+
%5 = tt.expand_dims %4 {axis = 0 : i32} : tensor<32xi32, #ttg.slice<{dim = 0, parent = #ttg.dot_op<{opIdx = 0, parent = #dpas, kWidth = 1}>}>> -> tensor<1x32xi32, #ttg.dot_op<{opIdx = 0, parent = #dpas, kWidth = 1}>>
134+
%6 = tt.broadcast %3 : tensor<64x1xi32, #ttg.dot_op<{opIdx = 0, parent = #dpas, kWidth = 1}>> -> tensor<64x32xi32, #ttg.dot_op<{opIdx = 0, parent = #dpas, kWidth = 1}>>
135+
%7 = tt.broadcast %5 : tensor<1x32xi32, #ttg.dot_op<{opIdx = 0, parent = #dpas, kWidth = 1}>> -> tensor<64x32xi32, #ttg.dot_op<{opIdx = 0, parent = #dpas, kWidth = 1}>>
136+
%8 = arith.addi %6, %7 : tensor<64x32xi32, #ttg.dot_op<{opIdx = 0, parent = #dpas, kWidth = 1}>>
137+
%9 = tt.splat %arg0 : !tt.ptr<f16> -> tensor<64x32x!tt.ptr<f16>, #ttg.dot_op<{opIdx = 0, parent = #dpas, kWidth = 1}>>
138+
%tensor_of_ptr = tt.addptr %9, %8 : tensor<64x32x!tt.ptr<f16>, #ttg.dot_op<{opIdx = 0, parent = #dpas, kWidth = 1}>>, tensor<64x32xi32, #ttg.dot_op<{opIdx = 0, parent = #dpas, kWidth = 1}>>
139+
140+
// CHECK: %[[ADDR_0:.*]] = llvm.extractvalue {{.*}}[0] : !llvm.struct<(ptr<1>, ptr<1>, ptr<1>, ptr<1>, ptr<1>, ptr<1>, ptr<1>, ptr<1>, ptr<1>, ptr<1>, ptr<1>, ptr<1>, ptr<1>, ptr<1>, ptr<1>, ptr<1>, ptr<1>, ptr<1>, ptr<1>, ptr<1>, ptr<1>, ptr<1>, ptr<1>, ptr<1>, ptr<1>, ptr<1>, ptr<1>, ptr<1>, ptr<1>, ptr<1>, ptr<1>, ptr<1>, ptr<1>, ptr<1>, ptr<1>, ptr<1>, ptr<1>, ptr<1>, ptr<1>, ptr<1>, ptr<1>, ptr<1>, ptr<1>, ptr<1>, ptr<1>, ptr<1>, ptr<1>, ptr<1>, ptr<1>, ptr<1>, ptr<1>, ptr<1>, ptr<1>, ptr<1>, ptr<1>, ptr<1>, ptr<1>, ptr<1>, ptr<1>, ptr<1>, ptr<1>, ptr<1>, ptr<1>, ptr<1>)>
128141
// CHECK: %[[ADDR_0:.*]] = llvm.extractvalue {{.*}}[0] : !llvm.struct<(ptr<1>, ptr<1>, ptr<1>, ptr<1>, ptr<1>, ptr<1>, ptr<1>, ptr<1>, ptr<1>, ptr<1>, ptr<1>, ptr<1>, ptr<1>, ptr<1>, ptr<1>, ptr<1>, ptr<1>, ptr<1>, ptr<1>, ptr<1>, ptr<1>, ptr<1>, ptr<1>, ptr<1>, ptr<1>, ptr<1>, ptr<1>, ptr<1>, ptr<1>, ptr<1>, ptr<1>, ptr<1>, ptr<1>, ptr<1>, ptr<1>, ptr<1>, ptr<1>, ptr<1>, ptr<1>, ptr<1>, ptr<1>, ptr<1>, ptr<1>, ptr<1>, ptr<1>, ptr<1>, ptr<1>, ptr<1>, ptr<1>, ptr<1>, ptr<1>, ptr<1>, ptr<1>, ptr<1>, ptr<1>, ptr<1>, ptr<1>, ptr<1>, ptr<1>, ptr<1>, ptr<1>, ptr<1>, ptr<1>, ptr<1>)>
129142
// CHECK: %[[ADDR_1:.*]] = llvm.extractvalue {{.*}}[1] : !llvm.struct<(ptr<1>, ptr<1>, ptr<1>, ptr<1>, ptr<1>, ptr<1>, ptr<1>, ptr<1>, ptr<1>, ptr<1>, ptr<1>, ptr<1>, ptr<1>, ptr<1>, ptr<1>, ptr<1>, ptr<1>, ptr<1>, ptr<1>, ptr<1>, ptr<1>, ptr<1>, ptr<1>, ptr<1>, ptr<1>, ptr<1>, ptr<1>, ptr<1>, ptr<1>, ptr<1>, ptr<1>, ptr<1>, ptr<1>, ptr<1>, ptr<1>, ptr<1>, ptr<1>, ptr<1>, ptr<1>, ptr<1>, ptr<1>, ptr<1>, ptr<1>, ptr<1>, ptr<1>, ptr<1>, ptr<1>, ptr<1>, ptr<1>, ptr<1>, ptr<1>, ptr<1>, ptr<1>, ptr<1>, ptr<1>, ptr<1>, ptr<1>, ptr<1>, ptr<1>, ptr<1>, ptr<1>, ptr<1>, ptr<1>, ptr<1>)>
130143
// CHECK: %[[ADDR_16:.*]] = llvm.extractvalue {{.*}}[16] : !llvm.struct<(ptr<1>, ptr<1>, ptr<1>, ptr<1>, ptr<1>, ptr<1>, ptr<1>, ptr<1>, ptr<1>, ptr<1>, ptr<1>, ptr<1>, ptr<1>, ptr<1>, ptr<1>, ptr<1>, ptr<1>, ptr<1>, ptr<1>, ptr<1>, ptr<1>, ptr<1>, ptr<1>, ptr<1>, ptr<1>, ptr<1>, ptr<1>, ptr<1>, ptr<1>, ptr<1>, ptr<1>, ptr<1>, ptr<1>, ptr<1>, ptr<1>, ptr<1>, ptr<1>, ptr<1>, ptr<1>, ptr<1>, ptr<1>, ptr<1>, ptr<1>, ptr<1>, ptr<1>, ptr<1>, ptr<1>, ptr<1>, ptr<1>, ptr<1>, ptr<1>, ptr<1>, ptr<1>, ptr<1>, ptr<1>, ptr<1>, ptr<1>, ptr<1>, ptr<1>, ptr<1>, ptr<1>, ptr<1>, ptr<1>, ptr<1>)>
131144
// CHECK: %[[ADDR_32:.*]] = llvm.extractvalue {{.*}}[32] : !llvm.struct<(ptr<1>, ptr<1>, ptr<1>, ptr<1>, ptr<1>, ptr<1>, ptr<1>, ptr<1>, ptr<1>, ptr<1>, ptr<1>, ptr<1>, ptr<1>, ptr<1>, ptr<1>, ptr<1>, ptr<1>, ptr<1>, ptr<1>, ptr<1>, ptr<1>, ptr<1>, ptr<1>, ptr<1>, ptr<1>, ptr<1>, ptr<1>, ptr<1>, ptr<1>, ptr<1>, ptr<1>, ptr<1>, ptr<1>, ptr<1>, ptr<1>, ptr<1>, ptr<1>, ptr<1>, ptr<1>, ptr<1>, ptr<1>, ptr<1>, ptr<1>, ptr<1>, ptr<1>, ptr<1>, ptr<1>, ptr<1>, ptr<1>, ptr<1>, ptr<1>, ptr<1>, ptr<1>, ptr<1>, ptr<1>, ptr<1>, ptr<1>, ptr<1>, ptr<1>, ptr<1>, ptr<1>, ptr<1>, ptr<1>, ptr<1>)>
132145
// CHECK: %[[ADDR_48:.*]] = llvm.extractvalue {{.*}}[48] : !llvm.struct<(ptr<1>, ptr<1>, ptr<1>, ptr<1>, ptr<1>, ptr<1>, ptr<1>, ptr<1>, ptr<1>, ptr<1>, ptr<1>, ptr<1>, ptr<1>, ptr<1>, ptr<1>, ptr<1>, ptr<1>, ptr<1>, ptr<1>, ptr<1>, ptr<1>, ptr<1>, ptr<1>, ptr<1>, ptr<1>, ptr<1>, ptr<1>, ptr<1>, ptr<1>, ptr<1>, ptr<1>, ptr<1>, ptr<1>, ptr<1>, ptr<1>, ptr<1>, ptr<1>, ptr<1>, ptr<1>, ptr<1>, ptr<1>, ptr<1>, ptr<1>, ptr<1>, ptr<1>, ptr<1>, ptr<1>, ptr<1>, ptr<1>, ptr<1>, ptr<1>, ptr<1>, ptr<1>, ptr<1>, ptr<1>, ptr<1>, ptr<1>, ptr<1>, ptr<1>, ptr<1>, ptr<1>, ptr<1>, ptr<1>, ptr<1>)>
133146
// CHECK: %[[BASE_WIDTH:.*]] = llvm.mlir.constant(64 : i32) : i32
134-
// CHECK: %[[VAL_13:.*]] = llvm.ptrtoint %[[ADDR_0]] : !llvm.ptr<1> to i64
135-
// CHECK: %[[VAL_14:.*]] = llvm.ptrtoint %[[ADDR_1]] : !llvm.ptr<1> to i64
136-
// CHECK: %[[PITCH:.*]] = llvm.sub %[[VAL_14]], %[[VAL_13]] : i64
137-
// CHECK: %[[CST_0:.*]] = llvm.mlir.constant(0 : i32) : i32
138-
// CHECK: %[[UNIFIED_PITCH:.*]] = llvm.call spir_funccc @_Z17sub_group_shufflelj(%[[PITCH]], %[[CST_0]]) {convergent, no_unwind, will_return} : (i64, i32) -> i64
139-
// CHECK: %[[UNIFIED_PITCH_I32:.*]] = llvm.trunc %[[UNIFIED_PITCH]] : i64 to i32
140-
// CHECK: %[[PITCH_IN_BYTES_I32:.*]] = llvm.intr.umax(%[[UNIFIED_PITCH_I32]], %[[BASE_WIDTH]]) : (i32, i32) -> i32
141-
// CHECK-DAG: %[[BASE_HEIGHT:.*]] = llvm.mlir.constant(8 : i32) : i32
147+
// CHECK: %[[PITCH:.*]] = llvm.mlir.constant(128 : i32) : i32
148+
// CHECK: %[[BASE_HEIGHT:.*]] = llvm.mlir.constant(8 : i32) : i32
142149
// CHECK: %[[CST_0_:.*]] = llvm.mlir.constant(0 : i32) : i32
143150
// CHECK: llvm.mlir.constant(0 : i32) : i32
144151

@@ -151,7 +158,7 @@ module attributes {"ttg.num-warps" = 4 : i32, "ttg.threads-per-warp" = 16 : i32}
151158
// CHECK: %[[VAL_13:.*]] = llvm.ptrtoint %[[ADDR_0]] : !llvm.ptr<1> to i64
152159
// CHECK: %[[UNIFIED_BASE:.*]] = llvm.call spir_funccc @_Z17sub_group_shufflelj(%[[VAL_13]], %[[CST_0]]) {convergent, no_unwind, will_return} : (i64, i32) -> i64
153160
// CHECK: %[[VAL_26:.*]] = llvm.inttoptr %[[UNIFIED_BASE]] : i64 to !llvm.ptr<1>
154-
// CHECK: triton_gen.2Dblockprefetch %[[VAL_26]], %[[BASE_WIDTH]], %[[BASE_HEIGHT]], %[[PITCH_IN_BYTES_I32]], %[[CST_0_]], %[[OFFSET_Y]] {elem_size_in_bits = 16, tile_width = 16, tile_height = 8, v_blocks = 2, cache_control = L1C_L3C}
161+
// CHECK: triton_gen.2Dblockprefetch %[[VAL_26]], %[[BASE_WIDTH]], %[[BASE_HEIGHT]], %[[PITCH]], %[[CST_0_]], %[[OFFSET_Y]] {elem_size_in_bits = 16, tile_width = 16, tile_height = 8, v_blocks = 2, cache_control = L1C_L3C}
155162

156163
// CHECK: %[[CST_0:.*]] = llvm.mlir.constant(0 : i32) : i32
157164
// CHECK: %[[VAL_29:.*]] = llvm.call spir_funccc @_Z17sub_group_shufflecj(%{{.*}}, %[[CST_0]]) {convergent, no_unwind, will_return} : (i8, i32) -> i8
@@ -162,7 +169,7 @@ module attributes {"ttg.num-warps" = 4 : i32, "ttg.threads-per-warp" = 16 : i32}
162169
// CHECK: %[[VAL_32:.*]] = llvm.ptrtoint %[[ADDR_16]] : !llvm.ptr<1> to i64
163170
// CHECK: %[[VAL_33:.*]] = llvm.call spir_funccc @_Z17sub_group_shufflelj(%[[VAL_32]], %[[CST_0]]) {convergent, no_unwind, will_return} : (i64, i32) -> i64
164171
// CHECK: %[[VAL_34:.*]] = llvm.inttoptr %[[VAL_33]] : i64 to !llvm.ptr<1>
165-
// CHECK: triton_gen.2Dblockprefetch %[[VAL_34]], %[[BASE_WIDTH]], %[[BASE_HEIGHT]], %[[PITCH_IN_BYTES_I32]], %[[CST_0_]], %[[VAL_31]] {elem_size_in_bits = 16, tile_width = 16, tile_height = 8, v_blocks = 2, cache_control = L1C_L3C}
172+
// CHECK: triton_gen.2Dblockprefetch %[[VAL_34]], %[[BASE_WIDTH]], %[[BASE_HEIGHT]], %[[PITCH]], %[[CST_0_]], %[[VAL_31]] {elem_size_in_bits = 16, tile_width = 16, tile_height = 8, v_blocks = 2, cache_control = L1C_L3C}
166173

167174
// CHECK: %[[CST_0:.*]] = llvm.mlir.constant(0 : i32) : i32
168175
// CHECK: %[[VAL_36:.*]] = llvm.call spir_funccc @_Z17sub_group_shufflecj(%{{.*}}, %[[CST_0]]) {convergent, no_unwind, will_return} : (i8, i32) -> i8
@@ -173,7 +180,7 @@ module attributes {"ttg.num-warps" = 4 : i32, "ttg.threads-per-warp" = 16 : i32}
173180
// CHECK: %[[VAL_39:.*]] = llvm.ptrtoint %[[ADDR_32]] : !llvm.ptr<1> to i64
174181
// CHECK: %[[VAL_40:.*]] = llvm.call spir_funccc @_Z17sub_group_shufflelj(%[[VAL_39]], %[[CST_0]]) {convergent, no_unwind, will_return} : (i64, i32) -> i64
175182
// CHECK: %[[VAL_41:.*]] = llvm.inttoptr %[[VAL_40]] : i64 to !llvm.ptr<1>
176-
// CHECK: triton_gen.2Dblockprefetch %[[VAL_41]], %[[BASE_WIDTH]], %[[BASE_HEIGHT]], %[[PITCH_IN_BYTES_I32]], %[[CST_0_]], %[[VAL_38]] {elem_size_in_bits = 16, tile_width = 16, tile_height = 8, v_blocks = 2, cache_control = L1C_L3C}
183+
// CHECK: triton_gen.2Dblockprefetch %[[VAL_41]], %[[BASE_WIDTH]], %[[BASE_HEIGHT]], %[[PITCH]], %[[CST_0_]], %[[VAL_38]] {elem_size_in_bits = 16, tile_width = 16, tile_height = 8, v_blocks = 2, cache_control = L1C_L3C}
177184

178185
// CHECK: %[[CST_0:.*]] = llvm.mlir.constant(0 : i32) : i32
179186
// CHECK: %[[VAL_43:.*]] = llvm.call spir_funccc @_Z17sub_group_shufflecj(%{{.*}}, %[[CST_0]]) {convergent, no_unwind, will_return} : (i8, i32) -> i8
@@ -184,7 +191,7 @@ module attributes {"ttg.num-warps" = 4 : i32, "ttg.threads-per-warp" = 16 : i32}
184191
// CHECK: %[[VAL_46:.*]] = llvm.ptrtoint %[[ADDR_48]] : !llvm.ptr<1> to i64
185192
// CHECK: %[[VAL_47:.*]] = llvm.call spir_funccc @_Z17sub_group_shufflelj(%[[VAL_46]], %[[CST_0]]) {convergent, no_unwind, will_return} : (i64, i32) -> i64
186193
// CHECK: %[[VAL_48:.*]] = llvm.inttoptr %[[VAL_47]] : i64 to !llvm.ptr<1>
187-
// CHECK: triton_gen.2Dblockprefetch %[[VAL_48]], %[[BASE_WIDTH]], %[[BASE_HEIGHT]], %[[PITCH_IN_BYTES_I32]], %[[CST_0_]], %[[VAL_45]] {elem_size_in_bits = 16, tile_width = 16, tile_height = 8, v_blocks = 2, cache_control = L1C_L3C}
194+
// CHECK: triton_gen.2Dblockprefetch %[[VAL_48]], %[[BASE_WIDTH]], %[[BASE_HEIGHT]], %[[PITCH]], %[[CST_0_]], %[[VAL_45]] {elem_size_in_bits = 16, tile_width = 16, tile_height = 8, v_blocks = 2, cache_control = L1C_L3C}
188195

189196
%mask_tensor = arith.constant dense<1> : tensor<64x32xi1, #ttg.dot_op<{opIdx = 0, parent = #dpas, kWidth = 1}>>
190197
ttig.prefetch %tensor_of_ptr, %mask_tensor {boundaryCheck = array<i32>, cache = 1 : i32, evict = 1 : i32, isVolatile = false, operandSegmentSizes = array<i32: 1, 1, 1>, ttig.block_io = "row_major"} : tensor<64x32x!tt.ptr<f16>, #ttg.dot_op<{opIdx = 0, parent = #dpas, kWidth = 1}>>
@@ -199,34 +206,6 @@ module attributes {"ttg.num-warps" = 4 : i32, "ttg.threads-per-warp" = 16 : i32}
199206

200207
// -----
201208

202-
// COM: Check that pitch is a constant calculated by AxisInfo analysis, instead of calculating dynamically.
203-
#dpas = #ttig.dpas<{repeatCount = 8, systolicDepth = 8, executionSize = 16, opsPerChan = 2, threadsPerWarp = 16, warpsPerCTA = [2, 2], repCluster = [1, 1], A = [8, 16], B = [16, 16], C = [8, 16]}>
204-
module attributes {"ttg.num-warps" = 4 : i32, "ttg.threads-per-warp" = 16 : i32} {
205-
// CHECK-LABEL: llvm.func spir_kernelcc @prefetch_tensor_of_pointers
206-
tt.func public @prefetch_tensor_of_pointers(%arg0: i32, %arg1: !tt.ptr<bf16>) {
207-
%cst_0 = arith.constant dense<512> : tensor<128x1xi32, #ttg.dot_op<{opIdx = 0, parent = #dpas, kWidth = 1}>>
208-
%cst_1 = arith.constant dense<512> : tensor<128xi32, #ttg.slice<{dim = 1, parent = #ttg.dot_op<{opIdx = 0, parent = #dpas, kWidth = 1}>}>>
209-
%c128_i32 = arith.constant 128 : i32
210-
%0 = arith.muli %arg0, %c128_i32 : i32
211-
%1 = tt.splat %0 : i32 -> tensor<128xi32, #ttg.slice<{dim = 1, parent = #ttg.dot_op<{opIdx = 0, parent = #dpas, kWidth = 1}>}>>
212-
%2 = tt.make_range {end = 128 : i32, start = 0 : i32} : tensor<128xi32, #ttg.slice<{dim = 1, parent = #ttg.dot_op<{opIdx = 0, parent = #dpas, kWidth = 1}>}>>
213-
%3 = arith.addi %1, %2 : tensor<128xi32, #ttg.slice<{dim = 1, parent = #ttg.dot_op<{opIdx = 0, parent = #dpas, kWidth = 1}>}>>
214-
%4 = arith.remsi %3, %cst_1 : tensor<128xi32, #ttg.slice<{dim = 1, parent = #ttg.dot_op<{opIdx = 0, parent = #dpas, kWidth = 1}>}>>
215-
%5 = tt.expand_dims %4 {axis = 1 : i32} : tensor<128xi32, #ttg.slice<{dim = 1, parent = #ttg.dot_op<{opIdx = 0, parent = #dpas, kWidth = 1}>}>> -> tensor<128x1xi32, #ttg.dot_op<{opIdx = 0, parent = #dpas, kWidth = 1}>>
216-
%6 = arith.muli %5, %cst_0 : tensor<128x1xi32, #ttg.dot_op<{opIdx = 0, parent = #dpas, kWidth = 1}>>
217-
%7 = tt.broadcast %6 : tensor<128x1xi32, #ttg.dot_op<{opIdx = 0, parent = #dpas, kWidth = 1}>> -> tensor<128x64xi32, #ttg.dot_op<{opIdx = 0, parent = #dpas, kWidth = 1}>>
218-
%8 = tt.splat %arg1 : !tt.ptr<bf16> -> tensor<128x64x!tt.ptr<bf16>, #ttg.dot_op<{opIdx = 0, parent = #dpas, kWidth = 1}>>
219-
%9 = tt.addptr %8, %7 : tensor<128x64x!tt.ptr<bf16>, #ttg.dot_op<{opIdx = 0, parent = #dpas, kWidth = 1}>>, tensor<128x64xi32, #ttg.dot_op<{opIdx = 0, parent = #dpas, kWidth = 1}>>
220-
221-
// CHECK-DAG: %[[PITCH:.*]] = llvm.mlir.constant(1024 : i32) : i32
222-
// CHECK-COUNT-4: triton_gen.2Dblockprefetch {{.*}}, %[[PITCH]], {{.*}} {elem_size_in_bits = 16, tile_width = 16, tile_height = 8, v_blocks = 2, cache_control = L1C_L3C}
223-
ttig.prefetch %9 {boundaryCheck = array<i32>, cache = 1 : i32, evict = 1 : i32, isVolatile = false, operandSegmentSizes = array<i32: 1, 1, 1>, ttig.block_io = "row_major"} : tensor<128x64x!tt.ptr<bf16>, #ttg.dot_op<{opIdx = 0, parent = #dpas, kWidth = 1}>>
224-
tt.return
225-
}
226-
}
227-
228-
// -----
229-
230209
// COM: Currently the prefetch operation in this test cannot be lowered correctly, so we check that the test compiles cleanly and not 2D block prefetch operation gets generated.
231210
#mma = #ttig.dpas<{repeatCount = 8, systolicDepth = 8, executionSize = 16, opsPerChan = 1, threadsPerWarp = 16, warpsPerCTA = [4, 1], repCluster = [4, 1], A = [32, 8], B = [8, 16], C = [32, 16]}>
232211
module attributes {ttig.min_sg_size = 16 : i32, ttig.support_sg_2d_block, ttig.target_arch = "spir64", "ttg.num-ctas" = 1 : i32, "ttg.num-warps" = 4 : i32, ttg.target = "xpu", "ttg.threads-per-warp" = 16 : i32} {

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