| /external/tensorflow/tensorflow/compiler/xla/service/ |
| tuple_simplifier.cc | 45 if (instruction->opcode() == HloOpcode::kTuple ||
65 if (instruction->opcode() == HloOpcode::kTuple) {
116 if (instruction->operand(0)->opcode() == HloOpcode::kTuple) {
123 if (user->opcode() == HloOpcode::kTuple ||
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| bfloat16_support.cc | 31 case HloOpcode::kTuple:
50 case HloOpcode::kTuple:
68 case HloOpcode::kTuple:
99 case HloOpcode::kTuple:
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| while_loop_constant_sinking.cc | 31 CHECK_EQ(while_body_root->opcode(), HloOpcode::kTuple);
55 if (init_value.opcode() != HloOpcode::kTuple) {
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| hlo_module_dce.cc | 53 while_body_root->opcode() != HloOpcode::kTuple) {
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| hlo_opcode_test.cc | 66 case HloOpcode::kTuple:
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| batchnorm_expander_test.cc | 87 EXPECT_EQ(root->opcode(), HloOpcode::kTuple);
130 EXPECT_EQ(root->opcode(), HloOpcode::kTuple);
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| hlo_constant_folding.cc | 91 // Tuple is not useful and would in fact be expanded back into kTuple by
97 instruction->opcode() == HloOpcode::kTuple) {
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| while_loop_simplifier.cc | 66 if (while_body_root->opcode() != HloOpcode::kTuple) {
317 if (while_init->opcode() != HloOpcode::kTuple ||
318 while_body_root->opcode() != HloOpcode::kTuple) {
508 if (while_init->opcode() != HloOpcode::kTuple) {
514 if (while_body_root->opcode() != HloOpcode::kTuple) {
649 if (while_init->opcode() != HloOpcode::kTuple ||
650 while_body_root->opcode() != HloOpcode::kTuple) {
[all...] |
| bfloat16_conversion_folding_test.cc | 39 hlo.opcode() == HloOpcode::kTuple ||
50 hlo.opcode() == HloOpcode::kTuple ||
59 if (hlo.opcode() == HloOpcode::kAdd || hlo.opcode() == HloOpcode::kTuple ||
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| while_loop_analysis.cc | 130 if (while_body_root->opcode() != HloOpcode::kTuple) {
157 if (while_init->opcode() != HloOpcode::kTuple) {
450 if (while_body_root->opcode() != HloOpcode::kTuple) {
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| bfloat16_normalization_test.cc | 42 hlo.opcode() == HloOpcode::kTuple ||
56 hlo.opcode() == HloOpcode::kDot || hlo.opcode() == HloOpcode::kTuple ||
64 if (hlo.opcode() == HloOpcode::kAdd || hlo.opcode() == HloOpcode::kTuple ||
328 EXPECT_EQ(computation->root_instruction()->opcode(), HloOpcode::kTuple);
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| dynamic_padder.cc | 77 case HloOpcode::kTuple:
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| hlo_module_dce_test.cc | 56 if (while_body_root->opcode() != HloOpcode::kTuple) {
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| hlo_opcode.h | 143 V(kTuple, "tuple", kHloOpcodeIsVariadic) \
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| hlo_liveness_analysis.cc | 122 CHECK_EQ(instruction->opcode(), HloOpcode::kTuple);
282 if (instruction->opcode() == HloOpcode::kTuple) {
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| ar_crs_combiner.cc | 111 if (instruction->opcode() == HloOpcode::kTuple) {
157 CHECK_EQ(tuple->opcode(), HloOpcode::kTuple);
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| bfloat16_conversion_folding.cc | 156 if (hlo->opcode() == HloOpcode::kTuple || //
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| hlo_dataflow_analysis.cc | 66 user->opcode() != HloOpcode::kTuple) {
562 CHECK_EQ(tuple->opcode(), HloOpcode::kTuple);
566 // kTuple instruction's value sets.
614 case HloOpcode::kTuple:
807 case HloOpcode::kTuple:
[all...] |
| hlo_element_type_converter.cc | 62 // non-nested tuple. This assumption is currently safe as only kTuple, kInfeed,
129 opcode == HloOpcode::kTuple || opcode == HloOpcode::kConvert ||
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| hlo_value.cc | 134 case HloOpcode::kTuple:
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| /external/tensorflow/tensorflow/compiler/xla/service/gpu/ |
| tuple_thunk.h | 40 : Thunk(Kind::kTuple, hlo_instruction),
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| thunk.cc | 57 case Thunk::kTuple:
58 return "kTuple";
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| thunk.h | 62 kTuple,
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| fusion_merger_test.cc | 87 EXPECT_EQ(HloOpcode::kTuple, root->opcode());
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| /external/v8/src/compiler/ |
| types.h | 284 enum Kind { kHeapConstant, kOtherNumberConstant, kTuple, kUnion, kRange };
402 bool IsTuple() const { return IsKind(TypeBase::kTuple); }
610 TupleType(int length, Zone* zone) : StructuralType(kTuple, length, zone) {}
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