Search Options

Display Count
Sort
Preferred Language
Advanced Search

Results 1 - 4 of 4 for writers (0.08 seconds)

The search processing time has exceeded the limit. The displayed results may be partial.

  1. RELEASE.md

          tensors will be split into shards when the saver writes the checkpoint
          shards to disk. `tf.train.experimental.ShardByTaskPolicy` is the default
          sharding behavior, but `tf.train.experimental.MaxShardSizePolicy` can be
          used to shard the checkpoint with a maximum shard file size. Users with
          advanced use cases can also write their own custom
          `tf.train.experimental.ShardingCallback`s.
    
    Created: Tue Apr 07 12:39:13 GMT 2026
    - Last Modified: Mon Mar 30 18:31:38 GMT 2026
    - 746.5K bytes
    - Click Count (3)
  2. api/go1.20.txt

    pkg log/syslog (freebsd-riscv64), method (*Writer) Debug(string) error #53466
    pkg log/syslog (freebsd-riscv64), method (*Writer) Emerg(string) error #53466
    pkg log/syslog (freebsd-riscv64), method (*Writer) Err(string) error #53466
    pkg log/syslog (freebsd-riscv64), method (*Writer) Info(string) error #53466
    pkg log/syslog (freebsd-riscv64), method (*Writer) Notice(string) error #53466
    pkg log/syslog (freebsd-riscv64), method (*Writer) Warning(string) error #53466
    Created: Tue Apr 07 11:13:11 GMT 2026
    - Last Modified: Fri Feb 17 21:23:32 GMT 2023
    - 602.6K bytes
    - Click Count (0)
  3. CHANGELOG/CHANGELOG-1.19.md

    ### CSI Proxy for Windows
    
    The CSI Proxy for Windows is being promoted to beta along with the 1.19 release. This CSI Proxy enables CSI Drivers to run on Windows by allowing containers in Windows to perform privileged storage operations. At beta, the CSI Proxy for Windows supports storage drivers using direct attached disks and SMB.
    
    ### Dashboard v2
    
    Created: Fri Apr 03 09:05:14 GMT 2026
    - Last Modified: Wed Jan 05 05:42:32 GMT 2022
    - 489.7K bytes
    - Click Count (0)
  4. lib/fips140/v1.26.0.zip

    Section 10.1.2.2. // K = HMAC (K, V || 0x00 || provided_data) h := hmac.New(hash, K) h.Write(d.V) h.Write([]byte{0x00}) h.Write(entropy) h.Write(nonce) switch s := s.(type) { case plainPersonalization: h.Write(s) case blockAlignedPersonal: l := len(d.V) + 1 + len(entropy) + len(nonce) for _, b := range s { pad000(h, l) h.Write(b) l = len(b) } } K = h.Sum(K[:0]) // V = HMAC (K, V) h = hmac.New(hash, K) h.Write(d.V) d.V = h.Sum(d.V[:0]) // K = HMAC (K, V || 0x01 || provided_data). h.Reset() h.Write(d.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)
Back to Top