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Results 1 - 10 of 244 for Parallel (0.06 sec)

  1. docs/en/docs/img/async/parallel-burgers/parallel-burgers-02.png

    parallel-burgers-02.png...
    Registered: Sun Nov 03 07:19:11 UTC 2024
    - Last Modified: Wed Aug 17 10:48:05 UTC 2022
    - 198.9K bytes
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  2. docs/en/docs/img/async/parallel-burgers/parallel-burgers-01.png

    parallel-burgers-01.png...
    Registered: Sun Nov 03 07:19:11 UTC 2024
    - Last Modified: Wed Aug 17 10:48:05 UTC 2022
    - 220.7K bytes
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  3. docs/en/docs/img/async/parallel-burgers/parallel-burgers-06.png

    parallel-burgers-06.png...
    Registered: Sun Nov 03 07:19:11 UTC 2024
    - Last Modified: Wed Aug 17 10:48:05 UTC 2022
    - 153.4K bytes
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  4. docs/en/docs/img/async/parallel-burgers/parallel-burgers-03.png

    parallel-burgers-03.png...
    Registered: Sun Nov 03 07:19:11 UTC 2024
    - Last Modified: Wed Aug 17 10:48:05 UTC 2022
    - 164.7K bytes
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  5. docs/en/docs/img/async/parallel-burgers/parallel-burgers-04.png

    parallel-burgers-04.png...
    Registered: Sun Nov 03 07:19:11 UTC 2024
    - Last Modified: Wed Aug 17 10:48:05 UTC 2022
    - 214.3K bytes
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  6. docs/en/docs/img/async/parallel-burgers/parallel-burgers-05.png

    parallel-burgers-05.png...
    Registered: Sun Nov 03 07:19:11 UTC 2024
    - Last Modified: Wed Aug 17 10:48:05 UTC 2022
    - 180.8K bytes
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  7. tensorflow/c/eager/parallel_device/parallel_device_test.cc

                             first_underlying_devices, status.get());
      ASSERT_EQ(TF_GetCode(status.get()), TF_OK) << TF_Message(status.get());
    
      // Create a second parallel device with the first parallel device and one
      // additional CPU.
      const char* second_device_name =
          "/job:localhost/replica:0/task:0/device:CUSTOM:1";
      std::array<const char*, 2> second_underlying_devices{
    Registered: Tue Nov 05 12:39:12 UTC 2024
    - Last Modified: Tue Aug 06 23:56:17 UTC 2024
    - 29.4K bytes
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  8. guava-tests/test/com/google/common/base/FinalizableReferenceQueueClassLoaderUnloadingTest.java

       * make it load its own version of FinalizableReferenceQueue. Then we need to interact with that
       * parallel version through reflection in order to exercise the parallel
       * FinalizableReferenceQueue, and then check that the parallel ClassLoader can be
       * garbage-collected after that.
       */
    
      public static class MyFinalizableWeakReference extends FinalizableWeakReference<Object> {
    Registered: Fri Nov 01 12:43:10 UTC 2024
    - Last Modified: Sat Oct 19 00:26:48 UTC 2024
    - 13.3K bytes
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  9. src/bytes/boundary_test.go

    	}
    	return b[pagesize : 2*pagesize]
    }
    
    func TestEqualNearPageBoundary(t *testing.T) {
    	t.Parallel()
    	b := dangerousSlice(t)
    	for i := range b {
    		b[i] = 'A'
    	}
    	for i := 0; i <= len(b); i++ {
    		Equal(b[:i], b[len(b)-i:])
    		Equal(b[len(b)-i:], b[:i])
    	}
    }
    
    func TestIndexByteNearPageBoundary(t *testing.T) {
    	t.Parallel()
    	b := dangerousSlice(t)
    	for i := range b {
    		idx := IndexByte(b[i:], 1)
    		if idx != -1 {
    Registered: Tue Nov 05 11:13:11 UTC 2024
    - Last Modified: Thu Nov 30 20:05:58 UTC 2023
    - 2.8K bytes
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  10. guava/src/com/google/common/graph/Network.java

       * an edge connecting node A to node B if this {@link Network} has an edge connecting A to B.
       *
       * <p>If this network {@link #allowsParallelEdges() allows parallel edges}, parallel edges will be
       * treated as if collapsed into a single edge. For example, the {@link #degree(Object)} of a node
       * in the {@link Graph} view may be less than the degree of the same node in this {@link Network}.
       */
    Registered: Fri Nov 01 12:43:10 UTC 2024
    - Last Modified: Thu Oct 10 15:41:27 UTC 2024
    - 22.4K bytes
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