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src/cmd/compile/internal/ssa/_gen/ARM64.rules
// hardware instruction uses only the low 6 bits of the shift // we compare to 64 to ensure Go semantics for large shifts // Rules about rotates with non-const shift are based on the following rules, // if the following rules change, please also modify the rules based on them. // check shiftIsBounded first, if shift value is proved to be valid then we // can do the shift directly. // left shift
Registered: Wed Jun 12 16:32:35 UTC 2024 - Last Modified: Thu May 23 15:49:20 UTC 2024 - 113.1K bytes - Viewed (0) -
src/cmd/compile/internal/ssa/_gen/generic.rules
((Add8|Or8|Xor8) right:(Rsh8Ux8 x y) left:(Lsh8x8 x z:(Sub8 (Const8 [8]) y))) && (shiftIsBounded(left) || shiftIsBounded(right)) && canRotate(config, 8) => (RotateLeft8 x z) // Rotating by y&c, with c a mask that doesn't change the bottom bits, is the same as rotating by y. (RotateLeft64 x (And(64|32|16|8) y (Const(64|32|16|8) [c]))) && c&63 == 63 => (RotateLeft64 x y)
Registered: Wed Jun 12 16:32:35 UTC 2024 - Last Modified: Thu May 16 22:21:05 UTC 2024 - 135.3K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/ir/tfl_ops.td
let hasFolder = 1; } def TFL_RangeOp: TFL_Op<"range", [ Pure, TFL_OperandHasRank<0, 0>, TFL_OperandHasRank<1, 0>, TFL_OperandHasRank<2, 0>, PredOpTrait<"operands and output must have same element type", And<[TCresVTEtIsSameAsOp<0, 0>, TCresVTEtIsSameAsOp<0, 1>, TCresVTEtIsSameAsOp<0, 2>]>>]> { let summary = "Range operator"; let description = [{
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Jun 06 19:09:08 UTC 2024 - 186K bytes - Viewed (0) -
maven-model-builder/src/test/resources/dag.txt
quarkus/extensions/resteasy-classic/resteasy/runtime/pom.xml quarkus/test-framework/junit5/pom.xml quarkus/test-framework/h2/pom.xml quarkus/core/deployment/pom.xml quarkus/core/devmode-spi/pom.xml quarkus/core/class-change-agent/pom.xml quarkus/independent-projects/bootstrap/core/pom.xml quarkus/independent-projects/bootstrap/maven-resolver/pom.xml quarkus/independent-projects/bootstrap/gradle-resolver/pom.xml
Registered: Wed Jun 12 09:55:16 UTC 2024 - Last Modified: Mon Jan 15 16:49:26 UTC 2024 - 224K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/transforms/tf_passes.td
let description = [{ A pass that propagates device assignment of resources on a module. It performs in-function propagation, as well as cross-function propagation from callers to callees. This pass changes the module by adding "tf.device" attribute to function arguments and adding "device" attribute to TF ops. For example, given the function ```mlir
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed Jun 12 21:18:05 UTC 2024 - 99.6K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/stablehlo/tests/uniform-quantized-stablehlo-to-tfl.mlir
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue May 14 17:10:32 UTC 2024 - 106.2K bytes - Viewed (0)