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Results 1 - 10 of 270 for operand$i (0.16 sec)
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tensorflow/compiler/mlir/tensorflow/ir/tf_executor.cc
return fetch.emitOpError() << "operand #" << i << " does not have a graph results to bind"; if (graph.getResult(i).getType() != operand.getType()) { return fetch.emitOpError() << "operand #" << i << " type mismatch graph results (" << graph.getResult(i).getType() << " != " << operand.getType() << ")"; } } return success(); }
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Apr 25 16:01:03 UTC 2024 - 42.7K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/transforms/reduce_while_operands.cc
} // It reduces the following pattern: // // S = (0, 0, 0) // while S[2] < 3: // a0 = S[0] * 2 // a1 = a0 + S[1] // a2 = S[2] + 1 // S = (a0, a1, a2) // return S[0] // // the 2nd operand (i = 1) as well as its related op (a1 = a0 + S[1]) // can be removed since only S[0] is returned. // It cannot be removed by loop-invariant-code-motion pass since every value // is used and changed in the while loop.
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Apr 25 16:01:03 UTC 2024 - 10.4K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/transforms/resource_op_lifting_cleanup.cc
// input operand. if (used_args.count() != num_args) { // Traverse arguments backward so that indices to be deleted stay unchanged. for (int idx = num_args - 1; idx >= 0; --idx) { if (used_args.test(idx)) continue; for (func::FuncOp func : cloned_branches) func.eraseArgument(idx); // For if/case, arg #i of attached function corresponds to operand #i+1 op->eraseOperand(idx + 1);
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Apr 25 16:01:03 UTC 2024 - 19.7K bytes - Viewed (0) -
src/go/types/operand.go
cgofunc: "cgo function", } // An operand represents an intermediate value during type checking. // Operands have an (addressing) mode, the expression evaluating to // the operand, the operand's type, a value for constants, and an id // for built-in functions. // The zero value of operand is a ready to use invalid operand. type operand struct { mode operandMode expr ast.Expr typ Type val constant.Value id builtinId }
Registered: Wed Jun 12 16:32:35 UTC 2024 - Last Modified: Thu May 23 21:17:10 UTC 2024 - 11.1K bytes - Viewed (0) -
src/cmd/compile/internal/types2/operand.go
cgofunc: "cgo function", } // An operand represents an intermediate value during type checking. // Operands have an (addressing) mode, the expression evaluating to // the operand, the operand's type, a value for constants, and an id // for built-in functions. // The zero value of operand is a ready to use invalid operand. type operand struct { mode operandMode expr syntax.Expr typ Type
Registered: Wed Jun 12 16:32:35 UTC 2024 - Last Modified: Thu May 23 21:17:10 UTC 2024 - 11K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/ir/tfl_ops.cc
BidirectionalSequenceLSTMOp op = *this; auto operands = op.GetStatefulOperands(); if (operands.size() == 4 && operands[0] == 35 && operands[1] == 36 && operands[2] == 37 && operands[3] == 38) { return success(); } return op.emitError( "BidirectionalSequenceLSTMOp expected to have four stateful operands"); }
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 02 09:41:17 UTC 2024 - 169.2K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/tensorflow/passes/duplicate_shape_determining_constants.cc
// ops (like the `dim` argument for `TF::ExpandDimsOp`) determine the shape of // the resulting tensor. If these operands are constants, they are duplicated // and replace the shape-determining operands. Each duplicated constant will // only be used as the shape-determining operand; it will not replace other // usages of the original constant. If the operands are not constants (i.e.
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Fri Mar 22 05:52:39 UTC 2024 - 17.5K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/common/quantization_lib/quantization.td
Interface for ops potentially have same operands and results scales. }]; let methods = [ InterfaceMethod< [{Returns whether same operands and results scales are required.}], "bool", "RequiredSameOperandsAndResultsScale", (ins "bool":$sign, "int":$bit_width), [{}], [{return true;}] >, InterfaceMethod< [{Returns whether operands and results must have the same quantized axis.}],
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue Mar 05 07:39:40 UTC 2024 - 8.3K bytes - Viewed (0) -
tensorflow/compiler/jit/deadness_analysis.cc
return operands_; } absl::Span<Predicate* const> operands() const { return operands_; } private: std::vector<Predicate*> operands_; }; // Represents a logical negation of a set of predicates. class NotPredicate : public Predicate { public: explicit NotPredicate(int64_t id, Predicate* operand) : Predicate(id), operands_({operand}) {}
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/tensorflow/c/c_api_unified_experimental_mlir.cc
return absl::OkStatus(); } Status MlirAbstractOp::Create(ArrayRef<Value> operands, OperationState** state) { state_->operands = llvm::to_vector<4>(operands); Builder builder(context_); if (current_ods_input_ != op_def_->input_arg_size()) return InvalidArgument(absl::StrCat("Mismatch in operands number: got ", current_ods_input_, " expected ",
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Apr 25 16:01:03 UTC 2024 - 28.2K bytes - Viewed (0)