- Sort Score
- Num 10 results
- Language All
Results 1 - 4 of 4 for prepare (0.17 seconds)
-
lib/fips140/v1.26.0.zip
*[{{$N}}*16]byte, src *[{{$N}}*16]byte, ivlo uint64, ivhi uint64) TEXT ·ctrBlocks{{ $N }}Asm(SB),NOSPLIT,$0 MOVD nr+0(FP), NR MOVD xk+8(FP), XK MOVD dst+16(FP), DST MOVD src+24(FP), SRC MOVD ivlo+32(FP), IV_LOW_LE MOVD ivhi+40(FP), IV_HIGH_LE {{/* Prepare plain from IV and blockIndex. */}} {{/* Copy to plaintext registers. */}} {{ range $i := xrange $N }} REV IV_LOW_LE, IV_LOW_BE REV IV_HIGH_LE, IV_HIGH_BE {{- /* https://developer.arm.com/documentation/dui0801/g/A64-SIMD-Vector-Instructions/MOV--v...Created: Tue Apr 07 11:13:11 GMT 2026 - Last Modified: Thu Jan 08 17:58:32 GMT 2026 - 660.3K bytes - Click Count (0) -
lib/fips140/v1.0.0-c2097c7c.zip
*[{{$N}}*16]byte, src *[{{$N}}*16]byte, ivlo uint64, ivhi uint64) TEXT ·ctrBlocks{{ $N }}Asm(SB),NOSPLIT,$0 MOVD nr+0(FP), NR MOVD xk+8(FP), XK MOVD dst+16(FP), DST MOVD src+24(FP), SRC MOVD ivlo+32(FP), IV_LOW_LE MOVD ivhi+40(FP), IV_HIGH_LE {{/* Prepare plain from IV and blockIndex. */}} {{/* Copy to plaintext registers. */}} {{ range $i := xrange $N }} REV IV_LOW_LE, IV_LOW_BE REV IV_HIGH_LE, IV_HIGH_BE {{- /* https://developer.arm.com/documentation/dui0801/g/A64-SIMD-Vector-Instructions/MOV--v...Created: Tue Apr 07 11:13:11 GMT 2026 - Last Modified: Thu Sep 25 19:53:19 GMT 2025 - 642.7K bytes - Click Count (0) -
docs/en/docs/release-notes.md
* 👷 Fix Typer command for CI LLM translations. PR [#14530](https://github.com/fastapi/fastapi/pull/14530) by [@tiangolo](https://github.com/tiangolo). * 👷 Update LLM translation CI, add language matrix and extra commands, prepare for scheduled run. PR [#14529](https://github.com/fastapi/fastapi/pull/14529) by [@tiangolo](https://github.com/tiangolo).
Created: Sun Apr 05 07:19:11 GMT 2026 - Last Modified: Fri Apr 03 12:07:04 GMT 2026 - 631K bytes - Click Count (0) -
RELEASE.md
in `early_stopping.py`. * `tf.estimator`: * Premade estimators in the tf.estimator.DNN/Linear/DNNLinearCombined family have been updated to use `tf.keras.optimizers` instead of the `tf.compat.v1.train.Optimizer`s. If you do not pass in an `optimizer=` arg or if you use a string, the premade estimator will use the KerasCreated: Tue Apr 07 12:39:13 GMT 2026 - Last Modified: Mon Mar 30 18:31:38 GMT 2026 - 746.5K bytes - Click Count (3)