TF_DeleteTensor(t);
  EXPECT_TRUE(deallocator_called);
}

void NoOpDeallocator(void* data, size_t, void*) {}

TEST(CAPI, MalformedTensor) {
  // See https://github.com/tensorflow/tensorflow/issues/7394
  // num_dims = 0 implies a scalar, so should be backed by at least 4 bytes of
  // data.
  TF_Tensor* t =
      TF_NewTensor(TF_FLOAT, nullptr, 0, nullptr, 0, &NoOpDeallocator, nullptr);

    "@boringssl//:__subpackages__",
    "@com_github_cares_cares//:__subpackages__",
    "@com_github_googlecloudplatform_tensorflow_gcp_tools//:__subpackages__",
    "@com_github_grpc_grpc//:__subpackages__",
    "@com_google_absl//:__subpackages__",
    "@com_google_googleapis//:__subpackages__",
    "@com_google_protobuf//:__subpackages__",
    "@com_googlesource_code_re2//:__subpackages__",

build:cuda_clang --config=cuda
# Enable TensorRT optimizations https://developer.nvidia.com/tensorrt
build:cuda_clang --config=tensorrt
build:cuda_clang --action_env=TF_CUDA_CLANG="1"
build:cuda_clang --@local_config_cuda//:cuda_compiler=clang
# Select supported compute capabilities (supported graphics cards).
# This is the same as the official TensorFlow builds.
# See https://developer.nvidia.com/cuda-gpus#compute

    # in instructions that are too modern being generated. Users that want
    # maximum performance should compile TF in their environment and can pass
    # `-march=native` there.
    # See https://github.com/tensorflow/tensorflow/issues/45744 and duplicates
    default_cc_opt_flags = '-Wno-sign-compare'
  question = ('Please specify optimization flags to use during compilation when'