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Results 91 - 100 of 107 for Dtype (0.08 sec)
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tensorflow/compiler/jit/compilability_check_util.cc
return false; } if (node.type_string() == "Const") { const AttrValue* attr = node.attrs().Find("dtype"); if (!op_filter_.allow_string_consts && attr != nullptr && attr->type() == DT_STRING) { *uncompilable_reason = "Const op with type DT_STRING is not supported by XLA."; return false; } }
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue Mar 12 06:33:33 UTC 2024 - 30.3K bytes - Viewed (0) -
tensorflow/compiler/jit/deadness_analysis.cc
if (node->type_string() == "Const" && must_be_true) { const TensorProto* proto = nullptr; TF_RETURN_IF_ERROR(GetNodeAttr(node->def(), "value", &proto)); Tensor tensor(proto->dtype()); TF_RET_CHECK(tensor.FromProto(*proto)); *predicate = tensor.scalar<bool>()() ? MakeTrue() : MakeFalse(); return absl::OkStatus(); }
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue Mar 12 06:33:33 UTC 2024 - 60.4K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/utils/constant_utils.cc
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Apr 25 16:01:03 UTC 2024 - 6.5K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/transforms/tfg-to-tfe.cc
Location loc = graph_func.getLoc(); FunctionType ftype = graph_func.getFunctionType(); func::FuncOp func = rewriter.create<func::FuncOp>( graph_func.getLoc(), graph_func->getAttrOfType<StringAttr>(SymbolTable::getSymbolAttrName()) .getValue(), ftype); func->setAttrs(graph_func->getAttrs()); llvm::SmallVector<Type> arg_types; llvm::SmallVector<Type> res_types;
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Fri May 17 17:58:54 UTC 2024 - 21.2K bytes - Viewed (0) -
tensorflow/c/experimental/ops/gen/cpp/views/attr_view.cc
string AttrView::DefaultValue() const { const AttrValue &attr_value = attr_.default_value(); switch (attr_value.value_case()) { case AttrValue::VALUE_NOT_SET: return ""; case AttrValue::kType: return DataType_Name(attr_value.type()); case AttrValue::kS: return "\"" + attr_value.s() + "\""; case AttrValue::kI: return std::to_string(attr_value.i()); case AttrValue::kF:
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Mon Jun 03 07:02:00 UTC 2024 - 4.3K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/ir/tf_ops_a_m.cc
Attribute value) { // Handle the case where the type and value are already tensors. if (mlir::isa<TensorType>(type) && mlir::isa<ElementsAttr>(value)) { result.addTypes(type); result.addAttribute("value", value); return; } // Otherwise, default to the attribute builder. ConstOp::build(builder, result, value);
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Apr 25 16:01:03 UTC 2024 - 146.7K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/transforms/convert_control_to_data_outputs.cc
assert(while_caller.body_function() == func); while_callers.push_back(while_caller); } } return while_callers; } bool IsResourceType(Type type) { return mlir::isa<TF::ResourceType>(getElementTypeOrSelf(type)); } bool OnlyOperatesOnCompositeDevices( TF::TPUExecuteAndUpdateVariablesOp& op, const TF::SideEffectAnalysis::Info& side_effect_analysis,
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Apr 25 16:01:03 UTC 2024 - 28.7K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/flatbuffer_export.cc
} if (ftype.isF64()) { return tflite::TensorType_COMPLEX128; } return Status(absl::StatusCode::kInvalidArgument, "Unsupported type"); } else if (auto itype = mlir::dyn_cast<mlir::IntegerType>(type)) { switch (itype.getWidth()) { case 1: return tflite::TensorType_BOOL; case 4: if (itype.isUnsigned()) { return Status(absl::StatusCode::kInvalidArgument,
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed Jun 12 21:41:49 UTC 2024 - 164.5K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/transforms/shape_inference.cc
else return UnrankedTensorType::get(type.getValue()); } } // namespace // Returns whether type can be further refined. bool CanBeRefined(Type type) { auto shape_type = mlir::dyn_cast<ShapedType>(type); if (!shape_type) return false; // Returns whether type with subtypes can be further refined.
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Sat Jun 08 07:28:49 UTC 2024 - 134.1K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/stablehlo/odml_converter/transforms/outline_composites.cc
func::FuncOp BuildGELUDecomposition(RankedTensorType type, PatternRewriter& rewriter, Block* insertion_point) { rewriter.setInsertionPointToStart(insertion_point); auto ftype = FunctionType::get(rewriter.getContext(), {type}, {type}); auto name = rewriter.getStringAttr("gelu_decomp");
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Fri May 17 17:58:54 UTC 2024 - 9.6K bytes - Viewed (0)