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  1. .bazelrc

    # Disable XLA on mobile.
    build:xla     --define=with_xla_support=true # TODO: remove, it's on by default.
    build:android --define=with_xla_support=false
    build:ios     --define=with_xla_support=false
    
    # BEGIN TF REMOTE BUILD EXECUTION OPTIONS
    # Options when using remote execution
    # WARNING: THESE OPTIONS WONT WORK IF YOU DO NOT HAVE PROPER AUTHENTICATION AND PERMISSIONS
    
    # Allow creation of resultstore URLs for any bazel invocation
    Plain Text
    - Registered: Tue May 07 12:40:20 GMT 2024
    - Last Modified: Thu May 02 19:34:20 GMT 2024
    - 52.8K bytes
    - Viewed (2)
  2. tensorflow/c/c_api_function.cc

        const auto& iter = input_nodes->find(node);
        if (iter == input_nodes->end()) {
          input_nodes->insert({node, {idx}});
        } else {
          auto& indices = iter->second;
          if (std::find(indices.begin(), indices.end(), idx) != indices.end()) {
            return InvalidArgument("TF_Output ", node->name(), ":", idx,
                                   " appears more than once in the input list");
          }
          indices.push_back(idx);
    C++
    - Registered: Tue Apr 30 12:39:09 GMT 2024
    - Last Modified: Mon Apr 15 03:35:10 GMT 2024
    - 13.6K bytes
    - Viewed (2)
  3. tensorflow/c/eager/parallel_device/parallel_device_lib.cc

                  combined_shape.SetDimWithStatus(axis_index, axis_length));
            }
          }
        }
        auto dim_sizes = combined_shape.dim_sizes();
        shape_ = std::vector<int64_t>(dim_sizes.begin(), dim_sizes.end());
      }
      *shape = &*shape_;
      return absl::OkStatus();
    }
    
    Status ParallelTensor::SummarizeValue(std::string& summary) {
      summary = "{";
    C++
    - Registered: Tue Apr 30 12:39:09 GMT 2024
    - Last Modified: Fri Feb 09 07:47:20 GMT 2024
    - 25.4K bytes
    - Viewed (1)
  4. RELEASE.md

    *   Added experimental support for an exactly-once visitation guarantee for evaluating Keras models trained with `tf.distribute ParameterServerStrategy`, via the `exact_evaluation_shards` argument in `Model.fit` and `Model.evaluate`....
    Plain Text
    - Registered: Tue May 07 12:40:20 GMT 2024
    - Last Modified: Mon Apr 29 19:17:57 GMT 2024
    - 727.7K bytes
    - Viewed (8)
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