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Searched refs:ARG1 (Results 1 – 25 of 165) sorted by relevance

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/external/liburing/src/arch/x86/
D	syscall.h	`44 #define __do_syscall1(NUM, ARG1) ({ \ argument 51 "D"((ARG1)) /* %rdi / \ 57 #define __do_syscall2(NUM, ARG1, ARG2) ({ \ argument 64 "D"((ARG1)), / %rdi / \ 71 #define __do_syscall3(NUM, ARG1, ARG2, ARG3) ({ \ argument 78 "D"((ARG1)), / %rdi / \ 86 #define __do_syscall4(NUM, ARG1, ARG2, ARG3, ARG4) ({ \ argument 94 "D"((ARG1)), / %rdi / \ 103 #define __do_syscall5(NUM, ARG1, ARG2, ARG3, ARG4, ARG5) ({ \ argument 112 "D"((ARG1)), / %rdi */ \ [all …]`
/external/linux-kselftest/tools/testing/selftests/ftrace/test.d/kprobe/
D	kprobe_args_string.tc	`8 ARG1=%di 11 ARG1=%ax 14 ARG1=%x0 17 ARG1=%r0 20 ARG1=%r3 23 ARG1=%r3 26 ARG1=%r2 34 echo "p:testprobe tracefs_create_dir arg1=+0(${ARG1}):string" > kprobe_events 41 echo "p:testprobe tracefs_create_dir arg1=+0(${ARG1}):string arg2=+0(${ARG1}):string" > kprobe_even…`
/external/tensorflow/tensorflow/core/transforms/region_to_functional/tests/
D	if_in_func.mlir	`7 // CHECK-NEXT: %[[ARG1:.]]: tensor<xi32> 8 // CHECK: If(%[[ARG0]], %[[ARG1]], %[[ARG0]]) 26 // CHECK: %[[ARG1]]: tensor<xi32> 28 // CHECK: %[[A:.]], %[[CTL:.]] = A(%[[ARG1]]) [%[[ARG1]].ctl] 32 // CHECK: %[[ARG1]]: tensor<xi32> 34 // CHECK: %[[B:.]], %[[CTL:.]] = B(%[[ARG1]]) [%[[ARG1]].ctl]`
/external/tensorflow/tensorflow/compiler/xla/mlir_hlo/tests/
D	buffer_reuse.mlir	27 // CHECK-SAME: %[[ARG0:.]]: {{.}}, %[[ARG1:.]]: {{.}}, %[[ARG2:.]]: {{.}} 31 // CHECK-NEXT: memref.copy %[[ARG1]], %[[ALLOC0]] 34 // CHECK-NEXT: memref.copy %[[ARG1]], %[[ALLOC0]] 83 // CHECK-SAME: %[[ARG0:.]]: {{.}}, %[[ARG1:.]]: {{.}} 87 // CHECK-NEXT: memref.copy %[[ARG1]], %[[ALLOC0]] 91 // CHECK-NEXT: memref.copy %[[ARG1]], %[[ALLOC1]] 109 // CHECK-SAME: %[[ARG0:.]]: {{.}}, %[[ARG1:.]]: {{.}} 112 // CHECK-NEXT: memref.copy %[[ARG1]], %[[ALLOC0]] 115 // CHECK-NEXT: memref.copy %[[ARG1]], %[[ALLOC1]] 116 // CHECK-NEXT: memref.copy %[[ARG1]], %[[BLOCKARG0]] [all …]
D	rank-specialization.mlir	5 // CHECK-SAME: (%[[ARG0:.]]: tensor<xf32>, %[[ARG1:.]]: tensor<xf32>, %[[ARG2:.]]: tensor<xf… 8 // CHECK: %[[RES:.]] = "chlo.rank_specialization_cluster"(%[[ARG2]], %[[ARG0]], %[[ARG1]]) ({ 23 // CHECK-SCF-SAME: (%[[ARG0:.]]: tensor<xf32>, %[[ARG1:.]]: tensor<xf32>, %[[ARG2:.]]: tensor<… 31 // CHECK-SCF-DAG: %[[SHAPE_ARG1:.]] = shape.shape_of %[[ARG1]] 42 // CHECK-SCF-DAG: %[[FLAT_ARG1:.]] = mhlo.dynamic_reshape %[[ARG1]], %[[FLAT_SHAPE]] 68 // CHECK-SCF-DAG: %[[REDUCED_ARG1:.]] = mhlo.dynamic_reshape %[[ARG1]], %[[EXT_SHAPE_ARG1_]] 85 // CHECK-SCF-DAG: %[[REDUCED_ARG1:.]] = mhlo.dynamic_reshape %[[ARG1]], %[[EXT_SHAPE_ARG1_]] 102 // CHECK-SCF-DAG: %[[REDUCED_ARG1:.]] = mhlo.dynamic_reshape %[[ARG1]], %[[EXT_SHAPE_ARG1_]] 112 // CHECK-SCF-DAG: %[[SHAPE_ARG1:.]] = shape.shape_of %[[ARG1]] 125 // CHECK: ^bb0(%[[ARG1:.]]: tensor<xf32>): [all …]
/external/tensorflow/tensorflow/compiler/mlir/hlo/tests/
D	buffer_reuse.mlir	27 // CHECK-SAME: %[[ARG0:.]]: {{.}}, %[[ARG1:.]]: {{.}}, %[[ARG2:.]]: {{.}} 31 // CHECK-NEXT: "lmhlo.negate"(%[[ARG1]], %[[ALLOC0]] 34 // CHECK-NEXT: "lmhlo.negate"(%[[ARG1]], %[[ALLOC0]] 83 // CHECK-SAME: %[[ARG0:.]]: {{.}}, %[[ARG1:.]]: {{.}} 87 // CHECK-NEXT: "lmhlo.negate"(%[[ARG1]], %[[ALLOC0]] 91 // CHECK-NEXT: "lmhlo.negate"(%[[ARG1]], %[[ALLOC1]] 109 // CHECK-SAME: %[[ARG0:.]]: {{.}}, %[[ARG1:.]]: {{.}} 112 // CHECK-NEXT: "lmhlo.negate"(%[[ARG1]], %[[ALLOC0]] 115 // CHECK-NEXT: "lmhlo.negate"(%[[ARG1]], %[[ALLOC1]] 116 // CHECK-NEXT: "lmhlo.negate"(%[[ARG1]], %[[BLOCKARG0]] [all …]
D	lhlo-fusion.mlir	4 // CHECK-SAME: (%[[ARG0:.]]: memref<?x?xf32>, %[[ARG1:.]]: memref<?x?xf32>, %[[ARG2:.]]: memref<… 8 // CHECK: "lmhlo.abs"(%[[ARG0]], %[[ARG1]]) : (memref<?x?xf32>, memref<?x?xf32>) -> () 9 …// CHECK: "lmhlo.add"(%[[ARG1]], %[[ARG2]], %[[ARG3]]) : (memref<?x?xf32>, memref<?x?xf32>, memref… 20 // CHECK-SAME: (%[[ARG0:.]]: memref<?x?xf32>, %[[ARG1:.]]: memref<?x?xf32>, %[[ARG2:.]]: memref<… 24 // CHECK: "lmhlo.abs"(%[[ARG0]], %[[ARG1]]) : (memref<?x?xf32>, memref<?x?xf32>) -> () 25 …// CHECK: "lmhlo.add"(%[[ARG1]], %[[ARG2]], %[[ARG3]]) : (memref<?x?xf32>, memref<?x?xf32>, memref… 27 // CHECK: return %[[ARG1]], %[[ARG3]] : memref<?x?xf32>, memref<?x?xf32> 36 // CHECK-SAME: (%[[ARG0:.]]: memref<?x?xf32>, %[[ARG1:.]]: memref<?x?xf32>, %[[ARG2:.*]]: memref<… 41 // CHECK: "lmhlo.abs"(%[[ARG0]], %[[ARG1]]) : (memref<?x?xf32>, memref<?x?xf32>) -> () 42 …// CHECK: "lmhlo.add"(%[[ARG1]], %[[ARG2]], %[[ARG3]]) : (memref<?x?xf32>, memref<?x?xf32>, memref… [all …]
D	broadcast_propagation.mlir	19 // CHECK-SAME: (%[[ARG0:.]]: tensor<?x32xf16>, %[[ARG1:.]]: tensor<?x32xf16>) 51 // CHECK-SAME: (%[[ARG0:.]]: tensor<?x32xf32>, %[[ARG1:.]]: tensor<?x32xf32>, %[[OUT_DIMS:.]]: t… 56 // CHECK: %[[BCASTED_ARG1:.]] = "mhlo.dynamic_broadcast_in_dim"(%[[ARG1]], %[[OUT_DIMS]]) 69 // CHECK-SAME: (%[[ARG0:.]]: tensor<?x32xi16>, %[[ARG1:.]]: tensor<?x?x32xf16>) -> tensor<?x?x32x… 73 // CHECK: %[[BCASTED_ARG1:.]] = "mhlo.dynamic_broadcast_in_dim"(%[[ARG1]], %{{.}}) 117 // CHECK-SAME: (%[[ARG0:.]]: !shape.witness, %[[ARG1:.]]: tensor<?x32xf32>) 123 // CHECK: shape.assuming_yield %[[ARG1]], %[[DUMMY_TENSOR]], %[[SHAPE]] 139 // CHECK-SAME: (%[[ARG0:.]]: !shape.witness, %[[ARG1:.]]: tensor<2xindex>) 144 // CHECK: %[[WITNESS:.*]] = shape.cstr_broadcastable %[[ARG1]], %[[DUMMY_TENSOR]] 145 // CHECK: shape.assuming_yield %[[ARG1]], %[[DUMMY_TENSOR]], %[[WITNESS]] [all …]
D	rank-specialization.mlir	5 // CHECK-SAME: (%[[ARG0:.]]: tensor<xf32>, %[[ARG1:.]]: tensor<xf32>, %[[ARG2:.]]: tensor<xf… 8 // CHECK: %[[RES:.]] = "chlo.rank_specialization_cluster"(%[[ARG2]], %[[ARG0]], %[[ARG1]]) ( { 23 // CHECK-SCF-SAME: (%[[ARG0:.]]: tensor<xf32>, %[[ARG1:.]]: tensor<xf32>, %[[ARG2:.]]: tensor<… 31 // CHECK-SCF-DAG: %[[SHAPE_ARG1:.]] = shape.shape_of %[[ARG1]] 42 // CHECK-SCF-DAG: %[[FLAT_ARG1:.]] = "mhlo.dynamic_reshape"(%[[ARG1]], %[[FLAT_SHAPE]]) 68 // CHECK-SCF-DAG: %[[REDUCED_ARG1:.]] = "mhlo.dynamic_reshape"(%[[ARG1]], %[[EXT_SHAPE_ARG1_]… 85 // CHECK-SCF-DAG: %[[REDUCED_ARG1:.]] = "mhlo.dynamic_reshape"(%[[ARG1]], %[[EXT_SHAPE_ARG1… 102 // CHECK-SCF-DAG: %[[REDUCED_ARG1:.]] = "mhlo.dynamic_reshape"(%[[ARG1]], %[[EXT_SHAPE_ARG1… 112 // CHECK-SCF-DAG: %[[SHAPE_ARG1:.]] = shape.shape_of %[[ARG1]] 125 // CHECK: ^bb0(%[[ARG1:.]]: tensor<xf32>): [all …]
D	hlo-legalize-einsum-to-dot-general.mlir	`25 // CHECK-SAME: %[[ARG1:[a-zA-Z0-9_]+]] 26 // CHECK: %{{.+}} = "mhlo.dot_general"(%[[ARG0]], %[[ARG1]]) 40 // CHECK-SAME: %[[ARG1:[a-zA-Z0-9_]+]] 41 // CHECK: %{{.+}} = "mhlo.dot_general"(%[[ARG0]], %[[ARG1]]) 55 // CHECK-SAME: %[[ARG1:[a-zA-Z0-9_]+]] 56 // CHECK: %{{.+}} = "mhlo.dot_general"(%[[ARG0]], %[[ARG1]]) 70 // CHECK-SAME: %[[ARG1:[a-zA-Z0-9_]+]] 71 // CHECK: %{{.+}} = "mhlo.dot_general"(%[[ARG0]], %[[ARG1]])`
D	lhlo-legalize-tensor-load-op.mlir	`5 // CHECK-SAME: (%[[ARG0:.]]: memref<?x?xf32>, %[[ARG1:.]]: memref<3xindex>) 12 // CHECK: %[[DIM0:.]] = memref.load %[[ARG1]][%c0] 13 // CHECK: %[[DIM1:.]] = memref.load %[[ARG1]][%c1] 14 // CHECK: %[[DIM2:.*]] = memref.load %[[ARG1]][%c2]`
/external/tensorflow/tensorflow/compiler/xla/mlir_hlo/tests/Dialect/mhlo/
D	merge_assuming_ops.mlir	21 // CHECK-SAME: (%[[ARG0:.]]: tensor<?x32xf16>, %[[ARG1:.]]: tensor<?x32xf16>) 50 // CHECK-SAME: (%[[ARG0:.]]: !shape.witness, %[[ARG1:.]]: tensor<?x32xf32>) 56 // CHECK: shape.assuming_yield %[[ARG1]], %[[DUMMY_TENSOR]], %[[SHAPE]] 72 // CHECK-SAME: (%[[ARG0:.]]: !shape.witness, %[[ARG1:.]]: tensor<2xindex>) 77 // CHECK: %[[WITNESS:.]] = shape.cstr_broadcastable %[[ARG1]], %[[DUMMY_TENSOR]] 78 // CHECK: shape.assuming_yield %[[ARG1]], %[[DUMMY_TENSOR]], %[[WITNESS]] 94 // CHECK-SAME: (%[[W:.]]: !shape.witness, %[[ARG0:.]]: tensor<?x32xf32>, %[[ARG1:.]]: tensor<?x3… 97 // CHECK: %[[S:.]] = shape.shape_of %[[ARG1]] 114 // CHECK-SAME: (%[[ARG0:.]]: !shape.witness, %[[ARG1:.]]: tensor<2xindex>, %[[ARG2:.]]: tensor<3… 117 // CHECK: %[[WITNESS:.*]] = shape.cstr_broadcastable %[[ARG1]], %[[ARG2]] [all …]
D	hlo-legalize-einsum-to-dot-general.mlir	`22 // CHECK-SAME: %[[ARG1:[a-zA-Z0-9_]+]] 23 // CHECK: %[[DG:.+]] = "mhlo.dot_general"(%[[ARG0]], %[[ARG1]]) 40 // CHECK-SAME: %[[ARG1:[a-zA-Z0-9_]+]] 41 // CHECK: %{{.+}} = "mhlo.dot_general"(%[[ARG0]], %[[ARG1]]) 53 // CHECK-SAME: %[[ARG1:[a-zA-Z0-9_]+]] 54 // CHECK: %{{.+}} = "mhlo.dot_general"(%[[ARG0]], %[[ARG1]]) 66 // CHECK-SAME: %[[ARG1:[a-zA-Z0-9_]+]] 67 // CHECK: %{{.+}} = "mhlo.dot_general"(%[[ARG0]], %[[ARG1]])`
D	broadcast_propagation.mlir	5 // CHECK-SAME: %[[ARG0:.]]: tensor<16x?xf32>, %[[ARG1:.]]: tensor<16x?xf32>, %[[SHAPE:.]]: tens… 9 // CHECK-DAG: %[[BCASTED_ARG1:.]] = "mhlo.dynamic_broadcast_in_dim"(%[[ARG1]], %[[SHAPE]]) 28 // CHECK-SAME: %[[ARG0:.]]: tensor<16x?xf32>, %[[ARG1:.]]: tensor<16x?xf32>, %[[SHAPE:.]]: tens… 32 // CHECK-DAG: %[[BCASTED_ARG1:.]] = "mhlo.dynamic_broadcast_in_dim"(%[[ARG1]], %[[SHAPE]]) 51 // CHECK-SAME: %[[ARG0:.]]: tensor<16x?xf32>, %[[ARG1:.]]: tensor<16x?xf32>, %[[SHAPE0:.]]: ten… 57 …// CHECK-DAG: %[[BCASTED_ARG10:.]] = "mhlo.dynamic_broadcast_in_dim"(%[[ARG1]], %[[SHAPE0]]) [[BC… 58 …// CHECK-DAG: %[[BCASTED_ARG11:.]] = "mhlo.dynamic_broadcast_in_dim"(%[[ARG1]], %[[SHAPE1]]) [[BC… 84 // CHECK: %[[ARG0:.]]: tensor<?x32xf32>, %[[ARG1:.]]: tensor<?x32xf32>, %[[ARG2:.]]: tensor<?x?x… 89 …// CHECK-DAG: %[[BCASTED_ARG1:.]] = "mhlo.dynamic_broadcast_in_dim"(%[[ARG1]], %[[SHAPE]]) {broad… 105 // CHECK: (%[[ARG0:.]]: tensor<?x32xf32>, %[[ARG1:.]]: tensor<?x32xf32>, %[[ARG2:.]]: tensor<?x?… [all …]
/external/tensorflow/tensorflow/compiler/mlir/tensorflow/tests/
D	tpu_resource_partitioning.mlir	6 // CHECK-SAME: ([[ARG0:%.+]]: tensor<!tf_type.resource<tensor<i32>>>, [[ARG1:%.+]]: tensor<!tf_type… 9 // CHECK-DAG: [[READ1:%.+]] = "tf.ReadVariableOp"([[ARG1]]) 21 // CHECK-DAG: "tf.AssignVariableOp"([[ARG1]], [[OUTPUT]]#1) 27 // CHECK-SAME: ([[ARG0:%.+]]: tensor<!tf_type.resource<tensor<i32>>>, [[ARG1:%.+]]: tensor<!tf_type… 30 // CHECK-DAG: [[READ1:%.+]] = "tf.ReadVariableOp"([[ARG1]]) 46 // CHECK-SAME: ([[ARG0:%.+]]: tensor<!tf_type.resource<tensor<i32>>>, [[ARG1:%.+]]: tensor<!tf_type… 49 // CHECK-DAG: [[READ1:%.+]] = "tf.ReadVariableOp"([[ARG1]]) 52 // CHECK-DAG: [[READ3:%.+]] = "tf.ReadVariableOp"([[ARG1]]) 65 // CHECK-SAME: ([[ARG0:%.+]]: tensor<!tf_type.resource<tensor<i32>>>, [[ARG1:%.+]]: tensor<!tf_type… 67 // CHECK: "tf.TPUPartitionedInput"([[ARG0]], [[ARG1]]) [all …]
D	tpu_parallel_execute_sink_resource_write.mlir	4 // CHECK-SAME: ({{.+}}: tensor<i1>, [[ARG1:%.+]]: tensor<!tf_type.resource>) 13 // CHECK-NEXT: "tf.AssignVariableOp"([[ARG1]], [[PARALLEL_EXECUTE]]#0) 20 // CHECK-SAME: ({{.+}}: tensor<i1>, [[ARG1:%.+]]: tensor<!tf_type.resource>) 29 // CHECK-NEXT: "tf.AssignAddVariableOp"([[ARG1]], [[PARALLEL_EXECUTE]]#0) 79 // CHECK-SAME: ([[ARG0:%.+]]: tensor<i1>, [[ARG1:%.+]]: tensor<i1>, [[ARG2:%.+]]: tensor<i1>, [[AR… 83 // CHECK-NEXT: "tf.AssignVariableOp"([[ARG3]], [[ARG1]]) 98 // CHECK-SAME: ([[ARG0:%.+]]: tensor<i1>, [[ARG1:%.+]]: tensor<i32>, [[ARG2:%.+]]: tensor<i64>, [[… 102 // CHECK-NEXT: "tf.AssignVariableOp"([[ARG5]], [[ARG1]]) 119 // CHECK-SAME: ([[ARG0:%.+]]: tensor<i1>, [[ARG1:%.+]]: tensor<i32>, [[ARG2:%.+]]: tensor<i64>, [[… 123 // CHECK-NEXT: "tf.AssignVariableOp"([[ARG6]], [[ARG1]])
D	convert-tf-control-flow-to-scf.mlir	7 // CHECK-SAME: (%[[ARG0:.]]: tensor<i1>, %[[ARG1:.]]: tensor<4xf32>) 21 …// CHECK-NEXT: %[[CALL:.]] = func.call @test_if_then1(%[[ARG1]]) : (tensor<4xf32>) -> tensor<4x… 26 …// CHECK-NEXT: %[[CALL_0:.]] = func.call @test_if_else1(%[[ARG1]]) : (tensor<4xf32>) -> tensor<… 37 // CHECK-SAME: (%[[ARG0:.]]: tensor<i1>, %[[ARG1:.]]: tensor<4xf32>) 50 // CHECK-NEXT: func.call @test_if_then2(%[[ARG1]]) : (tensor<4xf32>) -> () 52 // CHECK-NEXT: func.call @test_if_else2(%[[ARG1]]) : (tensor<4xf32>) -> () 59 // CHECK-SAME: (%[[ARG0:.]]: tensor<f32>, %[[ARG1:.]]: tensor<f32>, %[[ARG2:.]]: tensor<xf32>) 78 …// CHECK-NEXT: %[[ADD:.*]] = "tf.Add"(%[[ARG1]], %[[ARG3]]) : (tensor<f32>, tensor<f32>) -> tens…
/external/tensorflow/tensorflow/compiler/mlir/tensorflow/tests/compile_mlir_util/
D	add.mlir	14 // CHECK: ENTRY %main.{{[0-9]+}} ([[ARG0:.]]: f32[], [[ARG1:.]]: f32[]) -> (f32[]) { 16 // CHECK-NEXT: %[[ARG1]] = f32[] parameter(1) 17 // CHECK-NEXT: [[ADD:%.]] = f32[] add(f32[] %[[ARG0]], f32[] %[[ARG1]]) 32 // TUPLE-ARGS: [[ARG1:%.]] = f32[] get-tuple-element((f32[], f32[]) %[[ARG_TUPLE]]), index… 33 // TUPLE-ARGS: [[ADD:%.]] = f32[] add(f32[] [[ARG0]], f32[] [[ARG1]]) 44 // NO_RET_TUPLE: ENTRY %main.{{[0-9]+}} ([[ARG0:.]]: f32[], [[ARG1:.]]: f32[]) -> f32[] { 46 // NO_RET_TUPLE-NEXT: %[[ARG1]] = f32[] parameter(1) 47 // NO_RET_TUPLE-NEXT: ROOT [[ADD:%.]] = f32[] add(f32[] %[[ARG0]], f32[] %[[ARG1]])
/external/tensorflow/tensorflow/compiler/mlir/xla/tests/hlo_to_lhlo_with_xla/
D	ops.mlir	5 // CHECK-SAME: %[[ARG1:.]]: memref<16xi8> 18 // CHECK-SAME: %[[ARG1:.]]: memref<16xi8> {lmhlo.params = 1 33 // CHECK-SAME: %[[ARG1:.]]: memref<16xi8> {lmhlo.params = 1 48 // CHECK-SAME: %[[ARG1:.]]: memref<16xi8> {lmhlo.params = 1 63 // CHECK-SAME: %[[ARG1:.]]: memref<16xi8> 76 // CHECK-SAME: %[[ARG1:.]]: memref<16xi8> 89 // CHECK-SAME: %[[ARG1:.]]: memref<16xi8> 102 // CHECK-SAME: %[[ARG1:.]]: memref<16xi8> {lmhlo.params = 1 118 // CHECK-SAME: %[[ARG1:.]]: memref<16xi8> 131 // CHECK-SAME: %[[ARG1:.]]: memref<16xi8> {lmhlo.params = 1 [all …]
/external/tensorflow/tensorflow/core/transforms/functional_to_region/tests/
D	if_in_func.mlir	`17 // CHECK-NEXT: %[[ARG1:.]]: tensor<{{.}}> 21 // CHECK-NEXT: %[[A:.]], %[[CTL_0:.]] = A(%[[ARG1]]) [%[[ARG1]].ctl] 24 // CHECK-NEXT: %[[B:.]], %[[CTL_0:.]] = B(%[[ARG1]]) [%[[ARG1]].ctl]`
/external/llvm/test/CodeGen/AArch64/GlobalISel/
D	arm64-irtranslator.ll	`10 ; CHECK: [[ARG1:%[0-9]+]](64) = COPY %x0 12 ; CHECK-NEXT: [[RES:%[0-9]+]](64) = G_ADD i64 [[ARG1]], [[ARG2]] 44 ; CHECK: [[ARG1:%[0-9]+]](64) = COPY %x0 46 ; CHECK-NEXT: [[RES:%[0-9]+]](64) = G_OR i64 [[ARG1]], [[ARG2]] 55 ; CHECK: [[ARG1:%[0-9]+]](32) = COPY %w0 57 ; CHECK-NEXT: [[RES:%[0-9]+]](32) = G_OR i32 [[ARG1]], [[ARG2]]`
/external/tensorflow/tensorflow/compiler/mlir/xla/tests/
D	legalize-tf-control-flow.mlir	4 // CHECK-SAME: ([[ARG0:%.+]]: tensor<f32>, [[ARG1:%.+]]: tensor<f32>) 6 …// CHECK: [[VAL0:%.+]] = mhlo.compare GT, [[ARG0]], [[ARG1]] : (tensor<f32>, tensor<f32>) -> tenso… 9 // CHECK: [[VAL3:%.+]] = func.call @cond_true([[ARG0]], [[ARG1]]) 12 // CHECK: [[VAL4:%.+]] = func.call @cond_false([[ARG0]], [[ARG1]]) 34 // CHECK-SAME: ([[ARG0:%.+]]: tensor<f32>, [[ARG1:%.+]]: tensor<f32>) 36 // CHECK: [[VAL0:%.+]] = mhlo.compare GT, [[ARG0]], [[ARG1]] 45 // CHECK: [[VAL3:%.+]] = mhlo.exponential [[ARG1]] 57 // CHECK-SAME: %[[BRANCH_INDEX:.]]: tensor<i32>, %[[ARG0:.]]: tensor<f32>, %[[ARG1:.]]: tensor<… 61 …// CHECK: %[[CALL_EXP:.]]:2 = func.call @exponential(%[[ARG0]], %[[ARG1]]) : (tensor<f32>, te… 64 …// CHECK: %[[CALL_LOG:.*]]:2 = func.call @log(%[[ARG0]], %[[ARG1]]) : (tensor<f32>, tensor<f32… [all …]
D	prepare-for-export.mlir	`28 // CHECK-SAME: (%[[ARG1:.]] = %arg0, %[[ARG2:.]] = %arg0) 32 // CHECK-SAME: %[[ARG2]], %[[ARG1]] 37 // CHECK: %[[ADD:.]] = mhlo.add %[[ARG1]], %[[ARG1]] 74 // CHECK-SAME: (%[[ARG1:.]] = %arg0, %[[ARG2:.]] = %arg0) 78 // CHECK-SAME: %[[ARG2]], %[[ARG1]] 83 // CHECK: %[[ADD:.]] = mhlo.add %[[ARG2]], %[[ARG1]]`
/external/tensorflow/tensorflow/core/ir/tests/
D	region-ops.mlir	65 …// CHECK-NEXT: ^bb0(%[[$ARG0:.]]: tensor<{{.}}>, %[[$ARG1:.]]: tensor<{{.}}>, %[[$ARG2:.]]: !… 66 // CHECK-NEXT: %[[$LESS:.]], %[[$CTL_0:.]] = Less(%[[$ARG0]], %[[$ARG1]]) [%[[$ARG2]]] 67 …// CHECK-NEXT: condition %[[$LESS]] : tensor<{{.}}xi1> (%[[$ARG0]], %[[$ARG1]]) : tensor<{{.}}… 69 …// CHECK-NEXT: ^bb0(%[[$ARG0:.]]: tensor<{{.}}>, %[[$ARG1:.]]: tensor<{{.}}>, %[[$ARG2:.]]: !… 70 // CHECK-NEXT: %[[$FWD:.]]:2, %[[$CTL_0:.]] = Fwd(%[[$ARG0]], %[[$ARG1]]) [%[[$ARG2]]] 97 …// CHECK-NEXT: ^bb0(%[[ARG0:.]]: tensor<xi32>, %[[ARG1:.]]: tensor<{{.}}>, %[[ARG2:.]]: !tf_t… 98 // CHECK-NEXT: yield(%[[ARG1]]) [%[[ARG3]]] : tensor<{{.}}>
/external/tensorflow/tensorflow/compiler/xla/mlir_hlo/tests/Dialect/lhlo/
D	lhlo-legalize-to-tensor-op.mlir	`5 // CHECK-SAME: (%[[ARG0:.]]: memref<?x?xf32>, %[[ARG1:.]]: memref<3xindex>) 12 // CHECK: %[[DIM0:.]] = memref.load %[[ARG1]][%c0] 13 // CHECK: %[[DIM1:.]] = memref.load %[[ARG1]][%c1] 14 // CHECK: %[[DIM2:.*]] = memref.load %[[ARG1]][%c2]`

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