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tensorflow/compiler/mlir/quantization/common/quantization_lib/quantization_utils.h
SmallVector<Value, 4> inputs; inputs.reserve(quantizing_op->getNumOperands()); for (auto operand : quantizing_op->getOperands()) { Type operand_type = operand.getType(); if (operand_type.isa<NoneType>()) { inputs.push_back(operand); continue; } auto ele_type = operand.getType().cast<TensorType>().getElementType(); if (static_cast<const ConcreteT*>(this)
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed Apr 24 20:30:06 UTC 2024 - 41.7K bytes - Viewed (0) -
tensorflow/cc/experimental/libtf/value.h
TF_UNION_ACCESS_INSTANCE(impl::String, s); TF_UNION_ACCESS_INSTANCE(impl::TaggedValueTensor, tensor); TF_UNION_ACCESS_INSTANCE(impl::TensorSpec, tensor_spec); #undef TF_UNION_ACCESS_INSTANCE /// The union accessor for `NoneType`. template <> struct TaggedValue::UnionAccess<impl::None> { static impl::None& unsafe_reference(TaggedValue& t) { return None::GetInstance(); }
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Sat Apr 13 05:23:45 UTC 2024 - 20.4K bytes - Viewed (0) -
src/go/internal/gcimporter/ureader.go
if prev := *where; prev != nil { return prev } *where = typ return typ } func (r *reader) doTyp() (res types.Type) { switch tag := pkgbits.CodeType(r.Code(pkgbits.SyncType)); tag { default: errorf("unhandled type tag: %v", tag) panic("unreachable") case pkgbits.TypeBasic: return types.Typ[r.Len()] case pkgbits.TypeNamed:
Registered: Wed Jun 12 16:32:35 UTC 2024 - Last Modified: Thu May 23 01:00:11 UTC 2024 - 16.6K bytes - Viewed (0) -
src/os/os_windows_test.go
} if tp := lfi.Mode().Type(); tp != fs.ModeIrregular { // A reparse point is not a regular file, but we don't have a more appropriate // ModeType bit for it, so it should be marked as irregular. t.Errorf("%q should not be a an irregular file (mode=0x%x)", pythonPath, uint32(tp)) } if sfi.Name() != pythonExeName {
Registered: Wed Jun 12 16:32:35 UTC 2024 - Last Modified: Thu May 23 01:00:11 UTC 2024 - 41.8K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/experimental/tac/transforms/device_transform_patterns.cc
} LogicalResult EnsureBias(Operation* op, int bias_idx, PatternRewriter& rewriter) { auto bias = op->getOperand(bias_idx); if (!mlir::isa<NoneType>(bias.getType())) return failure(); // Proceed to create a zero bias. auto output = op->getResult(0); auto output_type = mlir::dyn_cast_or_null<RankedTensorType>(output.getType());
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Apr 25 16:01:03 UTC 2024 - 25.4K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/ir/tf_executor.cc
if (op_infos.empty()) return parser.emitError(loc) << " expects at least one data operand"; Attribute frame; if (parser.parseKeyword("frame") || parser.parseAttribute(frame, NoneType::get(context), "frame_name", result.attributes)) return failure(); Type i64 = parser.getBuilder().getIntegerType(64); if (parser.parseOptionalKeyword("parallel_iterations")) {
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Apr 25 16:01:03 UTC 2024 - 42.7K bytes - Viewed (0)