&& targetPlatform.getArchitecture().isAmd64();
        }

        @Override
        public void apply(DefaultGccPlatformToolChain gccToolChain) {
            boolean isMacOsX = gccToolChain.getPlatform().getOperatingSystem().isMacOsX();
            final String[] compilerArgs;
            if (isMacOsX) {
                compilerArgs = new String[]{"-arch", "x86_64"};
            } else {

  } else if (device_type == DEVICE_GPU) {
    auto device = static_cast<Device*>(device_base);
    platform_id = device->tensorflow_accelerator_device_info()
                      ->stream->parent()
                      ->GetPlatform()
                      ->id();
  } else if (XlaDevice::GetMetadataFromDevice(device_base, &xla_device_metadata)
                 .ok()) {
    // If we are on an XlaDevice, use the underlying XLA platform's allocator

  output_tensor_shapes.reserve(ctx->num_outputs());
  if (output.on_host_shape().is_dynamic()) {
    const se::Platform* platform = nullptr;
    if (stream != nullptr) {
      platform = stream->parent()->GetPlatform();
    } else {
      // Stream is not set for the host platform.
      TF_ASSIGN_OR_RETURN(platform,
                          se::PlatformManager::PlatformWithId(