url: https://github.com/mjohnsey
  - login: ashi-agrawal
    avatarUrl: https://avatars.githubusercontent.com/u/17105294?u=99c7a854035e5398d8e7b674f2d42baae6c957f8&v=4
    url: https://github.com/ashi-agrawal
  - login: sepsi77
    avatarUrl: https://avatars.githubusercontent.com/u/18682303?v=4
    url: https://github.com/sepsi77

      - name: Test
        run: ./gradlew test

  testgraal:
    runs-on: ubuntu-latest
    # TODO add master build after fixing all tests in CI
    if: contains(github.event.pull_request.labels.*.name, 'graal')

    steps:
      - name: Checkout
        uses: actions/checkout@v4
        with:
          fetch-depth: 0

      - name: Configure JDK
        uses: actions/setup-java@v4
        with:

//
// For sync execution, if any of the inputs to `op` are not ready, this call
// will block till they become ready and then return when the kernel execution
// is done.
// TODO(agarwal): change num_retvals to int from int*.
TF_CAPI_EXPORT extern void TFE_Execute(TFE_Op* op, TFE_TensorHandle** retvals,
                                       int* num_retvals, TF_Status* status);

GraalVM is an exciting new platform and we're eager to adopt it. The startup time improvements over
the JVM are particularly impressive. Try it with okcurl:

```
$ ./gradlew okcurl:nativeImage
$ ./okcurl/build/graal/okcurl https://cash.app/robots.txt
```

This is our first release that supports GraalVM. Our code on this platform is less mature than JVM
and Android! Please report any issues you encounter: we'll fix them urgently.

          (*result)[id].push_back(ones_like);
        }
      }
    } else {
      (*result)[id].push_back(output_gradients[i]);
    }
  }
  return absl::OkStatus();
}

// TODO(agarwal): use an automatic mechanism for handling None arguments to
// gradient functions.
//
// Some gradient functions can accept None arguments for gradients. The

// execution of newly issued ops.
//
// Note that outputs of discarded ops remain in a corrupt state and should not
// be used for future calls.
// TODO(agarwal): mark the affected handles and raise errors if they are used.
TF_CAPI_EXPORT extern void TFE_ExecutorClearError(TFE_Executor*);

// Sets a custom Executor for the current thread. All nodes created by this