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Results 1 - 6 of 6 for multiples (0.21 sec)

  1. src/cmd/cgo/internal/test/issue20910.c

    // license that can be found in the LICENSE file.
    
    #include <assert.h>
    #include <stdlib.h>
    #include <string.h>
    #include "_cgo_export.h"
    
    /* Test calling a Go function with multiple return values.  */
    
    void
    callMulti(void)
    {
    	struct multi_return result = multi();
    	assert(strcmp(result.r0, "multi") == 0);
    	assert(result.r1 == 0);
    	free(result.r0);
    C
    - Registered: Tue Apr 23 11:13:09 GMT 2024
    - Last Modified: Fri May 12 12:00:02 GMT 2023
    - 459 bytes
    - Viewed (0)
  2. tensorflow/c/eager/parallel_device/parallel_device_testlib.h

    template <std::size_t num_replicas>
    TensorHandlePtr CreatePerDeviceValues(
        TFE_Context* context,
        const std::array<TFE_TensorHandle*, num_replicas>& components,
        const char* device, TF_Status* status);
    
    TensorHandlePtr Multiply(TFE_Context* context, TFE_TensorHandle* first,
                             TFE_TensorHandle* second, TF_Status* status);
    
    // Assert that `handle` is equal to `expected_value`.
    template <typename value_type>
    C
    - Registered: Tue Apr 30 12:39:09 GMT 2024
    - Last Modified: Tue Feb 09 01:12:35 GMT 2021
    - 6.9K bytes
    - Viewed (0)
  3. 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)
  4. 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)
  5. tensorflow/c/eager/c_api_unified_experimental_internal.h

      }
    };
    
    // An abstract operation describes an operation by its type, name, and
    // attributes. It can be "executed" by the context with some input tensors.
    // It is allowed to reusing the same abstract operation for multiple execution
    // on a given context, with the same or different input tensors.
    class TracingOperation : public AbstractOperation {
     protected:
      explicit TracingOperation(AbstractOperationKind kind)
    C
    - Registered: Tue Apr 30 12:39:09 GMT 2024
    - Last Modified: Fri Nov 13 22:20:40 GMT 2020
    - 5.2K bytes
    - Viewed (0)
  6. tensorflow/c/experimental/filesystem/filesystem_interface.h

      void (*cleanup)(TF_Filesystem* filesystem);
    
      /// Creates a new random access read-only file from given `path`.
      ///
      /// After this call `file` may be concurrently accessed by multiple threads.
      ///
      /// Plugins:
      ///   * Must set `status` to `TF_OK` if `file` was updated.
      ///   * Must set `status` to `TF_NOT_FOUND` if `path` doesn't point to an
    C
    - Registered: Tue Apr 30 12:39:09 GMT 2024
    - Last Modified: Fri May 27 17:36:54 GMT 2022
    - 53.1K bytes
    - Viewed (0)
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