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Results 41 - 50 of 66 for type_attr (0.26 sec)
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src/cmd/internal/obj/ppc64/obj9.go
} var source *obj.Addr if p.From.Name == obj.NAME_EXTERN || p.From.Name == obj.NAME_STATIC { if p.From.Type == obj.TYPE_ADDR { if p.As == ADWORD { // ADWORD $sym doesn't need TOC anchor return } if p.As != AMOVD { c.ctxt.Diag("do not know how to handle TYPE_ADDR in %v", p) return } if p.To.Type != obj.TYPE_REG {
Registered: Wed Jun 12 16:32:35 UTC 2024 - Last Modified: Wed May 22 18:17:17 UTC 2024 - 40.8K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/transforms/fused_kernel_matcher.cc
// Here TArgs types do not include types of the first two parameters, // i.e. the convolution input and the filter. TArgs are parameters for // the extras like the bias etc. auto attr = TypeAttr::get(getElementTypeOrSelf(contraction.getType())); SmallVector<Attribute, 4> targs_values(operands.size() - 2, attr); ArrayAttr targs_attr = ArrayAttr::get(context, targs_values); attrs.push_back(
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Apr 25 16:01:03 UTC 2024 - 14.9K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/tensorflow/passes/prepare_quantize.cc
auto min_max = GetMinMaxValuesForArgument(func_name, i); // The input min/max or mean/std are not specified, then skip. if (!min_max.first.has_value() || !min_max.second.has_value()) return; TypeAttr params = quant::GetQuantizedTypeAttr( builder, input_type, builder.getF64FloatAttr(min_max.first.value()), builder.getF64FloatAttr(min_max.second.value()),
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Apr 25 16:01:03 UTC 2024 - 17.2K bytes - Viewed (0) -
src/cmd/compile/internal/ppc64/ssa.go
if v.AuxInt != 0 || v.Args[0].Reg() != v.Reg() { p := s.Prog(ppc64.AMOVD) p.From.Type = obj.TYPE_ADDR p.From.Reg = v.Args[0].Reg() p.From.Offset = v.AuxInt p.To.Type = obj.TYPE_REG p.To.Reg = v.Reg() } case *obj.LSym, ir.Node: p := s.Prog(ppc64.AMOVD) p.From.Type = obj.TYPE_ADDR p.From.Reg = v.Args[0].Reg() p.To.Type = obj.TYPE_REG p.To.Reg = v.Reg()
Registered: Wed Jun 12 16:32:35 UTC 2024 - Last Modified: Wed May 22 19:59:38 UTC 2024 - 55.4K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/stablehlo/transforms/legalize_hlo.cc
// Reshape for dynamic shaped operands. The result shape is // [lhs_batch_dimensions, lhs_out_dimensions, rhs_out_dimensions]. BoolAttr true_attr = rewriter.getBoolAttr(true); auto lhs_shape = rewriter.create<TF::ShapeOp>(loc, lhs, true_attr); auto rhs_shape = rewriter.create<TF::ShapeOp>(loc, rhs, true_attr); llvm::SmallVector<int64_t, 4> lhs_batch_and_out = Concat<int64_t>(lhs_dot_dimensions_info.batch_dimensions().AxesArray(),
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Apr 25 16:01:03 UTC 2024 - 154.9K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/transforms/prepare_quantize.cc
auto min_max = GetMinMaxValuesForArgument(func_name, i); // The input min/max or mean/std are not specified, then skip. if (!min_max.first.has_value() || !min_max.second.has_value()) return; TypeAttr params = quant::GetQuantizedTypeAttr( builder, input_type, builder.getF64FloatAttr(min_max.first.value()), builder.getF64FloatAttr(min_max.second.value()),
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Apr 25 16:01:03 UTC 2024 - 17.6K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/transforms/tfg-to-tfe.cc
res_types, res_attrs))) return failure(); // Update the function type which has excluded the control args. func->setAttr("function_type", TypeAttr::get(rewriter.getFunctionType( arg_types, res_types))); // Update arg/result attributes. func.setAllArgAttrs(arg_attrs); func.setAllResultAttrs(res_attrs);
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/compiler/mlir/tensorflow/translate/import_model.cc
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed May 01 11:17:36 UTC 2024 - 183.2K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/transforms/resource_op_lifting.cc
for (auto& it : hoister.GetResources()) { BlockArgument arg = mlir::dyn_cast<BlockArgument>(it.first); assert(arg && "Expect resources for FuncOp to be its arguments"); auto type_iter = resource_data_types.find(arg.getArgNumber()); if (type_iter == resource_data_types.end()) { // Skip lifting the resource if it's not present in the data type map. // This indicates that the resource is not to be lifted because it is used
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Apr 25 16:01:03 UTC 2024 - 55.1K bytes - Viewed (0) -
src/cmd/asm/internal/asm/asm.go
} name := symbolName(&nameAddr) // Operand 1 is an immediate constant or address. valueAddr := p.address(operands[1]) switch valueAddr.Type { case obj.TYPE_CONST, obj.TYPE_FCONST, obj.TYPE_SCONST, obj.TYPE_ADDR: // OK default: p.errorf("DATA value must be an immediate constant or address") return } // The addresses must not overlap. Easiest test: require monotonicity.
Registered: Wed Jun 12 16:32:35 UTC 2024 - Last Modified: Wed May 22 02:04:54 UTC 2024 - 25.5K bytes - Viewed (0)