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Results 1 - 3 of 3 for behavior (0.15 sec)

  1. tensorflow/c/experimental/filesystem/plugins/gcs/ram_file_block_cache_test.cc

      };
      const uint32 block_count = 2;
      tf_gcs_filesystem::RamFileBlockCache cache(
          block_size, block_count * block_size, 0, fetcher);
      std::vector<char> out;
      // Read blocks from the cache, and verify the LRU behavior based on the
      // fetcher calls that the cache makes.
      calls.push_back(0);
      // Cache miss - drains an element from `calls`.
      TF_EXPECT_OK(ReadCache(&cache, "", 0, 1, &out));
    C++
    - Registered: Tue Apr 23 12:39:09 GMT 2024
    - Last Modified: Fri Oct 15 03:16:57 GMT 2021
    - 23.2K bytes
    - Viewed (0)
  2. tensorflow/c/eager/c_api_experimental.h

    // The effect is bounding the memory held by inflight TensorHandles that are
    // referenced by the inflight nodes.
    // A recommended value has not been established.
    // A value of 0 removes the limit, which is the behavior of TensorFlow 2.11.
    // When is_async is false, the value is ignored.
    TF_CAPI_EXPORT extern TFE_Executor* TFE_NewExecutor(
        bool is_async, bool enable_streaming_enqueue, int in_flight_nodes_limit);
    
    C
    - Registered: Tue Apr 30 12:39:09 GMT 2024
    - Last Modified: Wed Feb 21 22:37:46 GMT 2024
    - 39.5K bytes
    - Viewed (0)
  3. tensorflow/c/eager/gradients.cc

      }
      // TODO(b/166669239): This is needed to support AttrBuilder::Get for string
      // attributes. Number type attrs and DataType attrs work fine without this.
      // Consider getting rid of this and making the behavior between number types
      // and string consistent.
      forward_op_->attrs.BuildNodeDef();
      std::unique_ptr<GradientFunction> gradient_fn;
      TF_RETURN_IF_ERROR(registry.Lookup(*forward_op_, &gradient_fn));
    C++
    - Registered: Tue Apr 30 12:39:09 GMT 2024
    - Last Modified: Thu Feb 15 09:49:45 GMT 2024
    - 19.3K bytes
    - Viewed (0)
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