}
  });
  // Loop until either block content is successfully fetched, or our request
  // encounters an error.
  absl::MutexLock l(&block->mu);
  TF_SetStatus(status, TF_OK, "");
  while (true) {
    switch (block->state) {
      case FetchState::ERROR:
        // TF_FALLTHROUGH_INTENDED
      case FetchState::CREATED:
        block->state = FetchState::FETCHING;

  switch (dtype.code) {
    case DLDataTypeCode::kDLBool:
      if (dtype.bits != 8) {
        return tensorflow::errors::InvalidArgument(
            "Only DLPack bools of bitwidth 8 are supported, got: ", dtype.bits);
      }
      *tf_dtype = TF_DataType::TF_BOOL;
      return absl::OkStatus();

    case DLDataTypeCode::kDLUInt:
      switch (dtype.bits) {
        case 8:

      * Try Google Colab to use TensorFlow.
         * The easiest way to use TF will be to switch to [google colab](https://colab.sandbox.google.com/notebooks/welcome.ipynb#recent=true). You get pre-installed latest stable TF version. Also you can use ```pip install```  to install any other preferred TF version.
         * It has an added advantage since you can you easily switch to different hardware accelerators (cpu, gpu, tpu) as per the task.

                                            TF_Status* status) {
  TF_AttrMetadata metadata;
  const auto* attr = GetAttrValue(oper, attr_name, status);
  if (!status->status.ok()) return metadata;
  switch (attr->value_case()) {
#define SINGLE_CASE(kK, attr_type, size_expr) \
  case tensorflow::AttrValue::kK:             \
    metadata.is_list = 0;                     \
    metadata.list_size = -1;                  \

*   Removes `scipy` dependency from `setup.py` since TensorFlow does not need it
    to install the pip package
*   Switches ROCM builds to use ROCM 3.7

# Release 2.0.3

## Bug Fixes and Other Changes

*   Fixes an undefined behavior causing a segfault in `tf.raw_ops.Switch`
    ([CVE-2020-15190](https://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2020-15190))

            const username = context.payload.pull_request.user.login;
            const domain = await script.get_email_domain({github, username});
            switch(domain) {
            case "intel.com":
              console.log(await script.filter({github, context, domain}));
              break;
            case "apple.com":

  VerifyFDefEdges(fdef,
                  {{"feed1", "test_loop/Enter:0"},
                   {"test_loop/Enter:output:0", "test_loop/Merge:0"},
                   {"test_loop/Merge:output:0", "test_loop/Switch:0"},
                   {"test_loop/Switch:output_false:0", "test_loop/Exit:0"},
                   {"test_loop/Exit:output:0", "test_loop_exit"}},
                  {}, false);
}

TEST_F(CApiFunctionTest, ControlDependency) {
  /*

namespace tensorflow {
void SetOpAttrValueScalar(TFE_Context* ctx, TFE_Op* op,
                          const tensorflow::AttrValue& default_value,
                          const char* attr_name, TF_Status* status) {
  switch (default_value.value_case()) {
    case tensorflow::AttrValue::kS: {
      const string& v = default_value.s();
      TFE_OpSetAttrString(op, attr_name, v.data(), v.size());
      break;
    }

  outfile->flush();
  // `*offset == 0` means this file does not exist on the server.
  if (*offset == -1 || *offset == 0) {
    // UploadFile will automatically switch to resumable upload based on Client
    // configuration.
    auto metadata = gcs_client->UploadFile(outfile->getName(), bucket, object,
                                           gcs::Fields("size"));
    if (!metadata) {

build:linux --copt="-Wno-array-bounds"

# Add unused-result as an error on Linux.
build:linux --copt="-Wunused-result"
build:linux --copt="-Werror=unused-result"
# Add switch as an error on Linux.
build:linux --copt="-Wswitch"
build:linux --copt="-Werror=switch"
# Required for building with clang
build:linux --copt="-Wno-error=unused-but-set-variable"

# Linux ARM64 specific options