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Results 1 - 10 of 455 for operand0 (0.17 sec)
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platforms/software/dependency-management/src/test/groovy/org/gradle/api/internal/artifacts/ivyservice/resolveengine/excludes/factories/NormalizingExcludeFactoryTest.groovy
operand18, operand19, operand20, operand21, operand22, operand23, operand24, operand25, operand26, operand27, operand28, operand29, operand30, operand31, operand32, operand33, operand34,
Registered: Wed Jun 12 18:38:38 UTC 2024 - Last Modified: Tue Oct 10 21:10:11 UTC 2023 - 17K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/transforms/lower_tf.cc
llvm::SmallVector<Value, 4> operands(addn_op.getInputs().begin(), addn_op.getInputs().end()); int64_t n = operands.size(); // Keep doing tree-based reduction when there are more than one operand. while (n > 1) { for (int64_t i = 0; i < n; i += 2) { // Add two adjacent operands if applicable. operands[i / 2] =
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Apr 25 16:01:03 UTC 2024 - 74.9K 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/lite/transforms/optimize_patterns.td
(BinaryOp:$result (TFL_TileOp $input, (Arith_ConstantOp $tile)), $operand, $act_func), (BinaryOp $input, $operand, $act_func), [(OperandsBroadcastToOutputType $input, $operand, $result), (HasRankAtMost<4> $input), (HasRankAtMost<4> $operand)]>; def FuseTileBroadcastToBinaryOp2#BinaryOp : Pat< (BinaryOp:$result $operand, (TFL_TileOp $input, (Arith_ConstantOp $tile)), $act_func),
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 16 20:31:41 UTC 2024 - 66.4K 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/tensorflow/ir/tf_traits.h
if (!result_ty) { return emitOptionalError(location, "Expected shape type for operand 0"); } for (auto [index, ty] : llvm::drop_begin(llvm::enumerate(operands.getTypes()), 1)) { auto shape_type = llvm::dyn_cast_or_null<ShapedType>(ty); if (!shape_type) { return emitOptionalError(location, "Expected shape type for operand ",
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Apr 25 16:01:03 UTC 2024 - 12.7K 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) -
src/cmd/asm/internal/asm/parse.go
} word, cond = p.lex.Text(), "" operands = scratch[:0] // Zero or more comma-separated operands, one per loop. nesting := 0 colon := -1 for tok != '\n' && tok != ';' { // Process one operand. var items []lex.Token if cap(operands) > len(operands) { // Reuse scratch items slice. items = operands[:cap(operands)][len(operands)][:0] } else { items = make([]lex.Token, 0, 3) }
Registered: Wed Jun 12 16:32:35 UTC 2024 - Last Modified: Wed Feb 21 14:34:57 UTC 2024 - 36.9K bytes - Viewed (0)