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Results 1 - 10 of 17 for operands_ (0.34 sec)
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tensorflow/compiler/mlir/tensorflow/transforms/rewrite_tpu_embedding_ops.cc
}; // Rewrites the given op to `OpT` op after adding the given operand at the end. template <typename OpT> OpT AddOperandAndRewriteAs(Operation* op, Value operand, NamedAttrList attr, OpBuilder* builder) { builder->setInsertionPoint(op); auto operands = llvm::to_vector<4>(op->getOperands()); operands.push_back(operand); auto new_op = builder->create<OpT>(op->getLoc(), op->getResultTypes(),
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed May 15 22:55:42 UTC 2024 - 4.5K 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) -
src/math/big/floatexample_test.go
// 2 // 4 // 8 // 16 } func ExampleFloat_Cmp() { inf := math.Inf(1) zero := 0.0 operands := []float64{-inf, -1.2, -zero, 0, +1.2, +inf} fmt.Println(" x y cmp") fmt.Println("---------------") for _, x64 := range operands { x := big.NewFloat(x64) for _, y64 := range operands { y := big.NewFloat(y64) fmt.Printf("%4g %4g %3d\n", x, y, x.Cmp(y)) } fmt.Println() }
Registered: Wed Jun 12 16:32:35 UTC 2024 - Last Modified: Thu Jun 06 15:46:54 UTC 2024 - 4.1K bytes - Viewed (0) -
tensorflow/compiler/mlir/tf2xla/transforms/legalize_tf_with_tf2xla.cc
Operation* op, ArrayRef<Value> operands, ConversionPatternRewriter& rewriter) const override { // This pattern is a conversion pattern because we want to specify a type // converter. However, this pattern still uses the original op's operands // while creating the ops so make sure there aren't any type changes between // the original op operands and the operands during the conversion.
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue May 28 21:49:50 UTC 2024 - 9.7K bytes - Viewed (0) -
src/go/types/conversions.go
msg := check.sprintf(format, args...) if *cause != "" { msg += "\n\t" + *cause } *cause = msg } } // generic cases with specific type terms // (generic operands cannot be constants, so we can ignore x.val) switch { case Vp != nil && Tp != nil: x := *x // don't clobber outer x return Vp.is(func(V *term) bool { if V == nil { return false // no specific types
Registered: Wed Jun 12 16:32:35 UTC 2024 - Last Modified: Wed May 22 18:51:00 UTC 2024 - 9.1K bytes - Viewed (0) -
tensorflow/compiler/mlir/tfrt/ir/mlrt/tf_ops.td
$operands_with_static_shape are indices of operands that are tagged with a maximum static shape. $producer_name is a string describing the name of the framework that added support for running this portion of the model on TPUs. Example: %rendezvous_key_base, %result = tf_mlrt_tpu.compile_and_execute (%operands) constant_operand_indices = [1, 3] metadata = "metadata..." mlir_module = "mlir_module..."
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed May 22 21:35:32 UTC 2024 - 6.7K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/analysis/resource_value_typed_analyzer.h
// within its purview are mutating in nature. void PropagatePotentiallyWrittenWithinUnhandledOp(Operation* op); // Given a Region associated with the callee and operands from the // corresponding callOp, propagate the potentially written decision to the // callOp's operands, if the corresponding region's arguments are potentially // written resources. void PropagatePotentiallyWrittenUpFromCallee(
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed May 15 09:04:13 UTC 2024 - 3K bytes - Viewed (0) -
src/cmd/compile/internal/types2/conversions.go
msg := check.sprintf(format, args...) if *cause != "" { msg += "\n\t" + *cause } *cause = msg } } // generic cases with specific type terms // (generic operands cannot be constants, so we can ignore x.val) switch { case Vp != nil && Tp != nil: x := *x // don't clobber outer x return Vp.is(func(V *term) bool { if V == nil { return false // no specific types
Registered: Wed Jun 12 16:32:35 UTC 2024 - Last Modified: Wed May 22 18:51:00 UTC 2024 - 9K bytes - Viewed (0) -
analysis/analysis-api/src/org/jetbrains/kotlin/analysis/api/resolution/KaCompoundAccess.kt
operationPartiallyAppliedSymbol: KaPartiallyAppliedFunctionSymbol<KaFunctionSymbol>, kind: Kind, operand: KtExpression, ) : KaCompoundAccess(operationPartiallyAppliedSymbol) { public val kind: Kind by validityAsserted(kind) public val operand: KtExpression by validityAsserted(operand) public enum class Kind { PLUS_ASSIGN, MINUS_ASSIGN, TIMES_ASSIGN, DIV_ASSIGN, REM_ASSIGN }
Registered: Wed Jun 12 09:53:16 UTC 2024 - Last Modified: Wed Jun 05 16:16:39 UTC 2024 - 2.7K bytes - Viewed (0) -
src/cmd/compile/internal/types2/format.go
) func sprintf(qf Qualifier, tpSubscripts bool, format string, args ...any) string { for i, arg := range args { switch a := arg.(type) { case nil: arg = "<nil>" case operand: panic("got operand instead of *operand") case *operand: arg = operandString(a, qf) case syntax.Pos: arg = a.String() case syntax.Expr: arg = ExprString(a) case []syntax.Expr: var buf strings.Builder
Registered: Wed Jun 12 16:32:35 UTC 2024 - Last Modified: Thu May 30 19:19:55 UTC 2024 - 3.5K bytes - Viewed (0)