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lib/fips140/v1.0.0-c2097c7c.zip
blockloop: VLD1.P 16(R1), [V4.B16] // load 16bytes message VLD1.P 16(R1), [V5.B16] // load 16bytes message VLD1.P 16(R1), [V6.B16] // load 16bytes message VLD1.P 16(R1), [V7.B16] // load 16bytes message VMOV V0.B16, V2.B16 // backup: VO h(dcba) VMOV V1.B16, V3.B16 // backup: V1 h(hgfe) VMOV V2.B16, V8.B16 VREV32 V4.B16, V4.B16 // prepare for using message in Byte format VREV32 V5.B16, V5.B16 VREV32 V6.B16, V6.B16 VREV32 V7.B16, V7.B16 VADD V16.S4, V4.S4, V9.S4 // V18(W0+K0...W3+K3) SHA256SU0 V5.S4,...
Created: Tue Dec 30 11:13:12 GMT 2025 - Last Modified: Thu Sep 25 19:53:19 GMT 2025 - 642.7K bytes - Click Count (0) -
lib/fips140/v1.1.0-rc1.zip
blockloop: VLD1.P 16(R1), [V4.B16] // load 16bytes message VLD1.P 16(R1), [V5.B16] // load 16bytes message VLD1.P 16(R1), [V6.B16] // load 16bytes message VLD1.P 16(R1), [V7.B16] // load 16bytes message VMOV V0.B16, V2.B16 // backup: VO h(dcba) VMOV V1.B16, V3.B16 // backup: V1 h(hgfe) VMOV V2.B16, V8.B16 VREV32 V4.B16, V4.B16 // prepare for using message in Byte format VREV32 V5.B16, V5.B16 VREV32 V6.B16, V6.B16 VREV32 V7.B16, V7.B16 VADD V16.S4, V4.S4, V9.S4 // V18(W0+K0...W3+K3) SHA256SU0 V5.S4,...
Created: Tue Dec 30 11:13:12 GMT 2025 - Last Modified: Thu Dec 11 16:27:41 GMT 2025 - 663K bytes - Click Count (0) -
RELEASE.md
* XLA reduction emitter is deterministic when the environment variable `TF_DETERMINISTIC_OPS` is set to "true" or "1". This extends deterministic `tf.nn.bias_add` back-prop functionality (and therefore also deterministic back-prop of bias-addition in Keras layers) to include when XLA JIT compilation is enabled. * Fix problem, when running on a CUDA GPU and when either environmentCreated: Tue Dec 30 12:39:10 GMT 2025 - Last Modified: Tue Oct 28 22:27:41 GMT 2025 - 740.4K bytes - Click Count (3) -
docs/en/docs/release-notes.md
### Internal * 🔧 Add sponsor Porter. PR [#10051](https://github.com/tiangolo/fastapi/pull/10051) by [@tiangolo](https://github.com/tiangolo). * 🔧 Update sponsors, add Jina back as bronze sponsor. PR [#10050](https://github.com/tiangolo/fastapi/pull/10050) by [@tiangolo](https://github.com/tiangolo).
Created: Sun Dec 28 07:19:09 GMT 2025 - Last Modified: Sat Dec 27 19:06:15 GMT 2025 - 586.7K bytes - Click Count (0)