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mlir/test/Dialect/XeGPU/ops.mlir

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@@ -264,24 +264,6 @@ gpu.func @test_load_nd_simt_8(%src: memref<24x32xf32>) {
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gpu.return
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}
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// CHECK: func @test_load_nd_vc_9(%[[arg0:.*]]: memref<24x32xf32>) {
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gpu.func @test_load_nd_vc_9(%src: memref<24x32xf32>) {
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// CHECK: %[[R0:.*]] = xegpu.create_nd_tdesc %arg0[0, 0] : memref<24x32xf32> -> !xegpu.tensor_desc<8x16xf32>
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%1 = xegpu.create_nd_tdesc %src[0, 0] : memref<24x32xf32> -> !xegpu.tensor_desc<8x16xf32>
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// CHECK: %[[R1:.*]] = xegpu.load_nd %[[R0]] <{l1_hint = #xegpu.cache_hint<cached>, l2_hint = #xegpu.cache_hint<uncached>, transpose = array<i64: 1, 0>}> : !xegpu.tensor_desc<8x16xf32> -> vector<16x8xf32>
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%2 = xegpu.load_nd %1 <{l1_hint = #xegpu.cache_hint<cached>, l2_hint = #xegpu.cache_hint<uncached>, transpose = array<i64: 1, 0>}> : !xegpu.tensor_desc<8x16xf32> -> vector<16x8xf32>
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gpu.return
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}
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// CHECK: func @test_load_nd_simt_9(%[[arg0:.*]]: memref<24x32xf32>) {
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gpu.func @test_load_nd_simt_9(%src: memref<24x32xf32>) {
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// CHECK: %[[R0:.*]] = xegpu.create_nd_tdesc %arg0[0, 0] : memref<24x32xf32> -> !xegpu.tensor_desc<8x16xf32, #xegpu.sg_map<wi_layout = [1, 16], wi_data = [1, 1]>>
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%1 = xegpu.create_nd_tdesc %src[0, 0] : memref<24x32xf32> -> !xegpu.tensor_desc<8x16xf32, #xegpu.sg_map<wi_layout = [1, 16], wi_data = [1, 1]>>
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// CHECK: %[[R1:.*]] = xegpu.load_nd %[[R0]] <{l1_hint = #xegpu.cache_hint<cached>, l2_hint = #xegpu.cache_hint<uncached>, transpose = array<i64: 1, 0>}> : !xegpu.tensor_desc<8x16xf32, #xegpu.sg_map<wi_layout = [1, 16], wi_data = [1, 1]>> -> vector<8x1xf32>
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%2 = xegpu.load_nd %1 <{l1_hint = #xegpu.cache_hint<cached>, l2_hint = #xegpu.cache_hint<uncached>, transpose = array<i64: 1, 0>}> : !xegpu.tensor_desc<8x16xf32, #xegpu.sg_map<wi_layout = [1, 16], wi_data = [1, 1]>> -> vector<8x1xf32>
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gpu.return
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}
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// CHECK: func @test_store_nd_vc(%[[arg0:.*]]: memref<24x32xf16>) {
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gpu.func @test_store_nd_vc(%dst: memref<24x32xf16>) {
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// CHECK: %[[C:.*]] = arith.constant dense<1.000000e+00> : vector<24x32xf16>

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