class RuntimeDevices;

// Returns true if at least one GPU device is available at runtime.
bool CanUseGpuDevice(const RuntimeDevices &devices);

// Returns true if all of the GPUs available at runtime support TensorCores
// (NVIDIA compute capability >= 7.0).
bool CanUseTensorCores(const RuntimeDevices &devices);

// Returns true if operation does not have explicit device placement that would
// prevent it from running on GPU device.

bool CanUseGpuDevice(const RuntimeDevices &devices) {
  return llvm::any_of(devices.device_names(), IsGpuDevice);
}

// Returns true if all of the GPUs available at runtime support TensorCores
// (NVIDIA compute capability >= 7.0).
bool CanUseTensorCores(const RuntimeDevices &devices) {
  auto has_tensor_cores = [&](const DeviceNameUtils::ParsedName &device) {
    auto md = devices.GetGpuDeviceMetadata(device);

              break;
            case "apple.com":
              console.log(await script.filter({github, context, domain}));
              break;
            case "nvidia.com":
              console.log(await script.filter({github, context, domain}));
              break;
            case "linaro.org":
              console.log(await script.filter({github, context, domain}));

COPY builder.patchelf/build_patchelf.sh /build_patchelf.sh
COPY apt.conf /etc/apt/
RUN /build_patchelf.sh

################################################################################
FROM nvidia/cuda:12.3.1-devel-ubuntu20.04 as devel
################################################################################
COPY --from=builder /dt10 /dt10

  TF_ASSERT_OK(
      RunAutoClusteringTestWithPbtxt("keras_imagenet_main_graph_mode"));
}

TEST_F(AutoClusteringTestImpl, OpenSeq2SeqGNMT) {
  // Model is from https://github.com/NVIDIA/OpenSeq2Seq.
  // Generated from
  //
  // python run.py \
  // --config_file=example_configs/text2text/en-de/en-de-gnmt-like-4GPUs.py \
  // --use_xla_jit
  TF_ASSERT_OK(

												Operator: v1.NodeSelectorOpExists,
											},
										},
									},
								},
							},
						},
					},
				},
			},
			labels: map[string]string{
				"GPU": "NVIDIA-GRID-K1",
			},
			runPreFilter: true,
		},
		{
			name: "Pod with affinity that don't match node's labels won't schedule onto the node",
			pod: &v1.Pod{
				Spec: v1.PodSpec{
					Affinity: &v1.Affinity{

  Args:
    environ_cp: copy of the os.environ.
    var_name: string for name of environment variable, e.g. "TF_NEED_CUDA".
    query_item: string for feature related to the variable, e.g. "CUDA for
      Nvidia GPUs".
    enabled_by_default: boolean for default behavior.
    question: optional string for how to ask for user input.
    yes_reply: optional string for reply when feature is enabled.

func.func @transposeConv2D_3x3_f16(%input: tensor<1x28x28x64xf16>, %filter: tensor<3x3x64x64xf16>) -> tensor<1x26x26x64xf16> {
  // cuDNN prefers NCHW data format for spatial convolutions in f16 before
  // compute capability 7.0 (NVIDIA Tensor Cores).

  // CHECK: "tf.Conv2D"(%[[INPUT_TRANSPOSE:[0-9]*]], %arg1)
  // CHECK-SAME: data_format = "NCHW"
  %0 = "tf.Conv2D"(%input, %filter)
       {
         data_format = "NHWC",
         padding = "VALID",

  // it to NCHW before padding, and does all computations in NCHW (this is the
  // default setup for ResNet model trained in fp32 on GPU).
  //
  // To be able to use Tensor Cores on latest NVIDIA GPUs this model has to be
  // converted to NHWC data format.

  // Padding in spatial dimension (NCHW)
  %0 = "tf.Const"() {value = dense<[[0, 0], [0, 0], [3, 3], [3, 3]]> : tensor<4x2xi32>} : () -> tensor<4x2xi32>

Neon link: https://neon.tech/blog/deploy-a-serverless-fastapi-app-with-neon-postgres-and-aws-app-runner-at-any-scale title: Deploy a Serverless FastAPI App with Neon Postgres and AWS App Runner at any scale - author: Kurtis Pykes - NVIDIA link: https://developer.nvidia.com/blog/building-a-machine-learning-microservice-with-fastapi/ title: Building a Machine Learning Microservice with FastAPI - author: Ravgeet Dhillon - Twilio link: https://www.twilio.com/en-us/blog/booking-appointments-twilio-notion-fastapi...