**Libtensorflow Windows GPU** | Status Temporarily Unavailable                                                                                                                                                   | [Nightly Binary](https://storage.googleapis.com...

If your PR includes any changes to the Gradle Public API, it will cause the binary compatibility check to fail.
The binary compatibility check runs as a part of the broader sanity check.
The latter runs on every PR and is a prerequisite for merging.

If you run the sanity check locally with the `./gradlew sanityCheck`, you can see the binary compatibility error in the output.
It looks like the following:

```

      - name: Upload Compatibility Report
        if: always()
        uses: actions/upload-artifact@v7
        with:
          name: binary-compatibility-report
          path: testing/architecture-test/build/reports/binary-compatibility/report.html

  unit-test:
    name: "${{ matrix.bucket.name }} (Unit Test)"
    permissions:
      contents: read
    runs-on: ubuntu-latest
    needs: build

            if (stage.specificBuilds.contains(SpecificBuild.SanityCheck)) {
                buildReportTab(
                    "API Compatibility Report",
                    "$HIDDEN_ARTIFACT_DESTINATION/report-architecture-test-binary-compatibility-report.html",
                )
                buildReportTab("Incubating APIs Report", "incubation-reports/all-incubating.html")
            }
            if (stage.performanceTests.isNotEmpty()) {

common:nvcc_clang --config=cuda_nvcc

# Debug config
common:dbg -c dbg
# Only include debug info for files under tensorflow/, excluding kernels, to
# reduce the size of the debug info in the binary. This is because if the debug
# sections in the ELF binary are too large, errors can occur. See
# https://github.com/tensorflow/tensorflow/issues/48919.
# Users can still include debug info for a specific kernel, e.g. with:

              <build path="$PROJECT_DIR$/build-logic" name="build-logic">
                <projects>
                  <project path="$PROJECT_DIR$/build-logic" />
                  <project path="$PROJECT_DIR$/build-logic/binary-compatibility" />
                  <project path="$PROJECT_DIR$/build-logic/build-update-utils" />
                  <project path="$PROJECT_DIR$/build-logic/buildquality" />

# Release 2.17.0

## TensorFlow

### Breaking Changes

* GPU
    * Support for NVIDIA GPUs with compute capability 5.x (Maxwell generation) has been removed from TF binary distributions (Python wheels).

### Major Features and Improvements

android-library = { id = "com.android.library", version.ref = "agp" }
animalsniffer = { id = "ru.vyarus.animalsniffer", version.ref = "animalsniffer" }
binary-compatibility-validator = { id = "org.jetbrains.kotlinx.binary-compatibility-validator", version.ref = "binary-compatibility-validator" }
bnd = { id = "biz.aQute.bnd", version.ref = "bnd" }
burst = { id = "app.cash.burst", version.ref = "burst" }

    }

    // Find the center and round down. The true center is either centerFloor or halfway between
    // centerFloor and centerFloor + 1.
    int centerFloor = (from + to) >>> 1;

    // Do a binary search until we're down to the range of two which encloses centerFloor (unless
    // all values are lower or higher than centerFloor, in which case we find the two highest or

# correspond to a particular, finalized design; rather, it relates to
# developing one.
#
# The current aim of the 'v2' implementation is to allow 'unused' ops and
# kernels to be discarded by the linker (to the benefit of binary size).
bool_flag(
    name = "enable_registration_v2",
    build_setting_default = False,
    visibility = ["//visibility:public"],
)

config_setting(
    name = "registration_v1",