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Results 1 - 3 of 3 for sdiv (0.33 sec)
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tensorflow/compiler/mlir/tensorflow/ir/tf_generated_ops.td
); let results = (outs); } def TF_DivOp : TF_Op<"Div", [Pure, ResultsBroadcastableShape, TF_SameOperandsAndResultElementTypeResolveRef]>, WithBroadcastableBinOpBuilder { let summary = "Returns x / y element-wise."; let description = [{ *NOTE*: `Div` supports broadcasting. More about broadcasting [here](http://docs.scipy.org/doc/numpy/user/basics.broadcasting.html)
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue Jun 11 23:24:08 UTC 2024 - 793K bytes - Viewed (0) -
src/cmd/compile/internal/ssa/rewriteARM64.go
func rewriteValueARM64_OpARM64UDIV(v *Value) bool { v_1 := v.Args[1] v_0 := v.Args[0] // match: (UDIV x (MOVDconst [1])) // result: x for { x := v_0 if v_1.Op != OpARM64MOVDconst || auxIntToInt64(v_1.AuxInt) != 1 { break } v.copyOf(x) return true } // match: (UDIV x (MOVDconst [c])) // cond: isPowerOfTwo64(c) // result: (SRLconst [log64(c)] x) for {
Registered: Wed Jun 12 16:32:35 UTC 2024 - Last Modified: Thu May 23 15:49:20 UTC 2024 - 608.6K bytes - Viewed (0) -
RELEASE.md
and modulus operators (/, //, %) now match Python (flooring) semantics. This applies to `tf.div` and `tf.mod` as well. To obtain forced integer truncation based behaviors you can use `tf.truncatediv` and `tf.truncatemod`. * `tf.divide()` is now the recommended division function. `tf.div()` will remain, but its semantics do not respond to Python 3 or `from future` mechanisms. *
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue Jun 11 23:24:08 UTC 2024 - 730.3K bytes - Viewed (0)