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## Overview

        param("env.GRADLE_INTERNAL_REPO_URL", "%gradle.internal.repository.url%")
        if (os == Os.MACOS && arch == Arch.AMD64) {
            // Use fewer parallel forks only on Intel macOS builds, since they are not very powerful.
            param("maxParallelForks", "2")
        }
        if (os == Os.LINUX || os == Os.MACOS) {
            param("env.LC_ALL", "en_US.UTF-8")
        }
    }
}

### Saved graphs and checkpoints

When loading untrusted serialized computation graphs (in form of a `GraphDef`,
`SavedModel`, or equivalent on-disk format), the set of computation primitives
available to TensorFlow is powerful enough that you should assume that the
TensorFlow process effectively executes arbitrary code.

The risk of loading untrusted checkpoints depends on the code or graph that you

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A powerful Java library that provides intelligent search suggestion functionality built on top of OpenSearch/Elasticsearch. It offers auto-completion, query suggestions, and popular word analytics for search applications.

## Key Features

TensorFlow 2.0 focuses on **simplicity** and **ease of use**, featuring updates
like:

*   Easy model building with Keras and eager execution.
*   Robust model deployment in production on any platform.
*   Powerful experimentation for research.
*   API simplification by reducing duplication and removing deprecated
    endpoints.

For details on best practices with 2.0, see