Search Options

Results per page
Sort
Preferred Languages
Advance

Results 1 - 2 of 2 for multiples (0.14 sec)

  1. tensorflow/c/eager/parallel_device/parallel_device_lib.h

      // A non-blocking version of `Execute`. After each call, `Join` must be called
      // before `StartExecute` is called again. Using `StartExecute` with `Join`
      // allows the caller to schedule computation on multiple ParallelDevices
      // without sequencing those operations (first call `StartExecute` on each
      // parallel device, then call `Join` on each; even if some of the `Join`s
    C
    - Registered: Tue Apr 30 12:39:09 GMT 2024
    - Last Modified: Tue Apr 25 15:21:13 GMT 2023
    - 12.9K bytes
    - Viewed (0)
  2. tensorflow/c/eager/tape.h

      // functions (and hence the tensors they keep alive). Instead, everything
      // is deleted in ~GradientTape. Persistent GradientTapes are useful when
      // users want to compute multiple gradients over the same tape.
      explicit GradientTape(bool persistent) : persistent_(persistent) {}
      ~GradientTape() {
        for (const auto& pair : op_tape_) {
    C
    - Registered: Tue Apr 30 12:39:09 GMT 2024
    - Last Modified: Tue Apr 02 12:40:29 GMT 2024
    - 47.2K bytes
    - Viewed (1)
Back to top