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lib/fips140/v1.0.0-c2097c7c.zip
cpu.X86HasSSSE3 || cpu.ARM64HasAES || cpu.PPC64 || cpu.PPC64le func init() { if cpu.AMD64 { impl.Register("aes", "AES-NI", &supportsAES) } if cpu.ARM64 { impl.Register("aes", "Armv8.0", &supportsAES) } if cpu.PPC64 || cpu.PPC64le { // The POWER architecture doesn't have a way to turn off AES support // at runtime with GODEBUG=cpu.something=off, so introduce a new GODEBUG // knob for that. It's intentionally only checked at init() time, to // avoid the performance overhead of checking it every time....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
cpu.X86HasSSSE3 || cpu.ARM64HasAES || cpu.PPC64 || cpu.PPC64le func init() { if cpu.AMD64 { impl.Register("aes", "AES-NI", &supportsAES) } if cpu.ARM64 { impl.Register("aes", "Armv8.0", &supportsAES) } if cpu.PPC64 || cpu.PPC64le { // The POWER architecture doesn't have a way to turn off AES support // at runtime with GODEBUG=cpu.something=off, so introduce a new GODEBUG // knob for that. It's intentionally only checked at init() time, to // avoid the performance overhead of checking it every time....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
as gradient clipping). * Improvements to Keras preprocessing layers: * TextVectorization can now accept a vocabulary list or file as an init arg. * Normalization can now accept mean and variance values as init args. * In `Attention` and `AdditiveAttention` layers, the `call()` method now accepts a `return_attention_scores` argument. When set to True, the layerCreated: Tue Dec 30 12:39:10 GMT 2025 - Last Modified: Tue Oct 28 22:27:41 GMT 2025 - 740.4K bytes - Click Count (3)