config_setting(
    name = "android",
    constraint_values = if_google(
        ["//third_party/bazel_platforms/os:android"],
        [],
    ),
    values = if_oss(
        {"crosstool_top": "//external:android/crosstool"},
        {},
    ),
    visibility = ["//visibility:public"],
)

config_setting(
    name = "android_x86",
    constraint_values = if_google(

  //
  // The given `name` must be parseable by DeviceNameUtils::ParseFullName, and
  // the result will be used as a constraint for device placement. See the
  // documentation for DeviceName for more details.
  //
  // The value will override the previous value - that is, no "merging" of
  // existing and given constraints will be performed.
  virtual Status SetDeviceName(const char* name) = 0;

    sdkmanager 'extras;android;m2repository'; \
    sdkmanager 'extras;intel;Hardware_Accelerated_Execution_Manager'; \
    sdkmanager 'extras;m2repository;com;android;support;constraint;constraint-layout;1.0.0'; \
    sdkmanager 'extras;m2repository;com;android;support;constraint;constraint-layout-solver;1.0.2'; \
    sdkmanager 'patcher;v4'; \
    sdkmanager 'ndk;25.1.8937393'; \
    sdkmanager 'build-tools;27.0.3';

# Install Scoop and packages

      : node_builder(node_name, op_type, g->graph.op_registry()), graph(g) {}

  tensorflow::NodeBuilder node_builder;
  TF_Graph* graph;
  std::set<tensorflow::string> colocation_constraints;
};

struct TF_Operation {
  tensorflow::Node node;

 private:
  ~TF_Operation() = default;
};

struct TF_Session {
  TF_Session(tensorflow::Session* s, TF_Graph* g);

    feed2_ = Placeholder(graph_, s_, "feed2");
    ASSERT_EQ(TF_OK, TF_GetCode(s_)) << TF_Message(s_);

    constant_ = ScalarConst(10, graph_, s_);
    ASSERT_EQ(TF_OK, TF_GetCode(s_)) << TF_Message(s_);

    desc_ = TF_NewOperation(graph_, "AddN", "add");
    TF_Output inputs[] = {{feed1_, 0}, {constant_, 0}};
    TF_AddInputList(desc_, inputs, TF_ARRAYSIZE(inputs));
  }

  ~CApiColocationTest() override {

  ///
  /// The output is in `buffer`, core TensorFlow owns the buffer and guarantees
  /// that at least `n` bytes are available.
  ///
  /// Returns number of bytes read or -1 in case of error. Because of this
  /// constraint and the fact that `ssize_t` is not defined in `stdint.h`/C++
  /// standard, the return type is `int64_t`.
  ///
  /// This is thread safe.
  ///
  /// Note: the `buffer` argument is NOT a null terminated string!

*   TensorFlow 1.15 is built using devtoolset7 (GCC7) on Ubuntu 16. This may
    lead to ABI incompatibilities with extensions built against earlier versions
    of TensorFlow.
*   Deprecated the use of `constraint=` and `.constraint` with ResourceVariable.
*   `tf.keras`:
    *   `OMP_NUM_THREADS` is no longer used by the default Keras config. To
        configure the number of threads, use `tf.config.threading` APIs.

                                     desc->node_builder.node_name(), "'");
  } else {
    if (!desc->colocation_constraints.empty()) {
      desc->node_builder.Attr(
          tensorflow::kColocationAttrName,
          std::vector<string>(desc->colocation_constraints.begin(),
                              desc->colocation_constraints.end()));
    }
    status->status = desc->node_builder.Finalize(&desc->graph->graph, &ret,

python="$venv/bin/python3"
"$python" -m pip install *.whl $TFCI_PYTHON_VERIFY_PIP_INSTALL_ARGS
if [[ "$TFCI_WHL_IMPORT_TEST_ENABLE" == "1" ]]; then
  "$python" -c 'import tensorflow as tf; t1=tf.constant([1,2,3,4]); t2=tf.constant([5,6,7,8]); print(tf.add(t1,t2).shape)'
  "$python" -c 'import sys; import tensorflow as tf; sys.exit(0 if "keras" in tf.keras.__name__ else 1)'
fi

                           const size_t* lengths, int num_values) override {
    if (strcmp(attr_name, tensorflow::kColocationAttrName) == 0) {
      op_->colocation_constraints.clear();
      for (int i = 0; i < num_values; ++i) {
        op_->colocation_constraints.emplace(static_cast<const char*>(values[i]),
                                            lengths[i]);
      }
    } else {
      std::vector<tensorflow::StringPiece> v;