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Results 1 - 4 of 4 for Broadcast (0.09 sec)

  1. tensorflow/c/eager/parallel_device/parallel_device.cc

            // Non-parallel tensors from _EagerConst/tf.constant are implicitly
            // broadcast, i.e. set as the input to each parallel operation. This
            // allows code like "tf.constant(1.)" or "tf.reduce_sum(..., axis=1)"
            // (where the value starts on the host), without allowing other implicit
            // copies/broadcasts. Other implicit copies may be supported eventually,
    Registered: Tue Nov 05 12:39:12 UTC 2024
    - Last Modified: Mon Oct 21 04:14:14 UTC 2024
    - 18.3K bytes
    - Viewed (0)
  2. docs/en/docs/advanced/websockets.md

    ```
    Client #1596980209979 left the chat
    ```
    
    /// tip
    
    The app above is a minimal and simple example to demonstrate how to handle and broadcast messages to several WebSocket connections.
    
    But keep in mind that, as everything is handled in memory, in a single list, it will only work while the process is running, and will only work with a single process.
    
    Registered: Sun Nov 03 07:19:11 UTC 2024
    - Last Modified: Sun Oct 06 20:36:54 UTC 2024
    - 6.3K bytes
    - Viewed (0)
  3. internal/dsync/drwmutex.go

    	tc, ok := ctx.Value(mcontext.ContextTraceKey).(*mcontext.TraceCtxt)
    	if ok {
    		netLockCtx = context.WithValue(netLockCtx, mcontext.ContextTraceKey, tc)
    	}
    
    	for index, c := range restClnts {
    		wg.Add(1)
    		// broadcast lock request to all nodes
    		go func(index int, isReadLock bool, c NetLocker) {
    			defer wg.Done()
    
    			g := Granted{index: index}
    			if c == nil {
    				log("dsync: nil locker\n")
    				ch <- g
    				return
    Registered: Sun Nov 03 19:28:11 UTC 2024
    - Last Modified: Mon Sep 09 15:49:49 UTC 2024
    - 20.4K bytes
    - Viewed (0)
  4. RELEASE.md

    *   Added colocation constraints to `StagingArea`.
    *   `sparse_matmul_op` reenabled for Android builds.
    *   Restrict weights rank to be the same as the broadcast target, to avoid
        ambiguity on broadcast rules.
    *   Upgraded libxsmm to 1.7.1 and applied other changes for performance and
        memory usage.
    *   Fixed bfloat16 integration of LIBXSMM sparse mat-mul.
    Registered: Tue Nov 05 12:39:12 UTC 2024
    - Last Modified: Tue Oct 22 14:33:53 UTC 2024
    - 735.3K bytes
    - Viewed (0)
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