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tensorflow/compiler/mlir/tfr/ir/tfr_ops.td
the same symbol scope as the callee. The operands and result types of the call must match the specified function type. The callee is encoded as a symbol reference attribute named "callee". Example: ```mlir %2 = tfr.call @my_add(%0, %1) : (tfr.tensor, f32) -> tfr.tensor_list ``` Note that the operands of the `call` operation can only be with tfr.tensor,
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Mon Apr 22 10:54:29 UTC 2024 - 17.4K bytes - Viewed (0) -
src/go/types/call.go
if n := len(elist); n == 1 { xlist, _ = check.multiExpr(elist[0], false) } else if n > 1 { // multiple (possibly invalid) values xlist = make([]*operand, n) for i, e := range elist { var x operand check.expr(nil, &x, e) xlist[i] = &x } } return } // genericExprList is like exprList but result operands may be uninstantiated or partially
Registered: Wed Jun 12 16:32:35 UTC 2024 - Last Modified: Thu May 30 19:19:55 UTC 2024 - 33.5K bytes - Viewed (0) -
src/fmt/errors.go
// // If the format specifier includes a %w verb with an error operand, // the returned error will implement an Unwrap method returning the operand. // If there is more than one %w verb, the returned error will implement an // Unwrap method returning a []error containing all the %w operands in the // order they appear in the arguments. // It is invalid to supply the %w verb with an operand that does not implement
Registered: Wed Jun 12 16:32:35 UTC 2024 - Last Modified: Thu May 23 01:00:11 UTC 2024 - 1.7K bytes - Viewed (0) -
tensorflow/compiler/mlir/tfrt/ir/tfrt_fallback_async.cc
// For simplicity, we don't consolidate these ops when all the // non-canonicalizable operands are adjacent. new_values.push_back( rewriter .create<fallback_async::CoreRTTensorHandleToFallbackTensorOp>( op.getLoc(), rewriter.getType<fallback::TFTensorType>(), operand, op->getAttrOfType<mlir::StringAttr>("device"))
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Jun 08 01:19:25 UTC 2023 - 15.6K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/transforms/analyze_variables.cc
} // If any of the operands is a resource type, then we break // and mark the module as not valid for TFLite legalization. // Note: this might disable native variables in more than needed cases. // TODO(b/189370197): Enhance variable analysis. for (auto operand : op->getOperands()) { if (mlir::isa<TF::ResourceType>( getElementTypeOrSelf(operand.getType()))) { legalize_to_tfl = false;
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Apr 25 16:01:03 UTC 2024 - 4.3K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/ir/tf_op_base.td
// operand. class TF_DerivedOperandSizeAttr<int idx> : DerivedAttr< "size_t", "auto range = getODSOperands(" # idx # ");\n" "return std::distance(range.begin(), range.end());", [{ $_builder.getI64IntegerAttr($_self) }]>; // A derived attribute that returns the element type of `idx`-th ODS-declared // operand. If the `idx`-th operand is a variadic operand, then this attribute
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Mon Oct 30 06:52:55 UTC 2023 - 30.5K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/transforms/cluster_ops_by_policy.cc
constraints.Walk([](Value value, ValueConstraint constraint) { for (OpOperand &operand : value.getUses()) operand.getOwner()->emitRemark( llvm::formatv("operand #{0} constrained to: {1}", operand.getOperandNumber(), constraint)); }); } void EmitInputsConstraintsRemarks(func::FuncOp func,
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Apr 25 16:01:03 UTC 2024 - 27.9K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/transforms/sparsecore/embedding_sequencing.cc
// that was extracted.. // Find the input edges to form the set of operands to the new function call. llvm::SetVector<Value> inputs; for (Operation* op : ops) { for (Value operand : op->getOperands()) { Operation* defining_op = operand.getDefiningOp(); if (!ops.contains(defining_op)) inputs.insert(operand); } } // Find the output edges to form the set of resutls of the new function call.
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Apr 25 16:01:03 UTC 2024 - 39.4K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/transforms/optimize_functional_ops.cc
// original If op. if (op_to_inline.hasTrait<OpTrait::IsTerminator>()) { updated_results.reserve(op_to_inline.getNumOperands()); for (Value operand : op_to_inline.getOperands()) updated_results.push_back(mapper.lookup(operand)); break; } // Otherwise, clone the op here. rewriter.clone(op_to_inline, mapper); } rewriter.replaceOp(op, updated_results);
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Apr 25 16:01:03 UTC 2024 - 6.6K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/utils/stateful_ops_utils.h
#include <vector> #include "mlir/Dialect/Func/IR/FuncOps.h" // from @llvm-project namespace mlir { namespace TFL { // Check if the given op has stateful operands and return their stateful // operand indices. bool IsStatefulOp(Operation* op, std::vector<int>* stateful_operand_indices); } // namespace TFL } // namespace mlir
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Sat Jun 03 00:14:05 UTC 2023 - 1.2K bytes - Viewed (0)