LeeeeT <******@****.***> 1680341164 +0300

jaystone776 <******@****.***> 1711838806 +0800

        /**
         * @return the i
         */
        public int getI() {
            return i;
        }

        /**
         * @param s
         *            the s to set
         */
        public void setS(final String s) {
            this.s = s;
        }

        /**
         * @return the s
         */
        public String getS() {
            return s;
        }
    }

  fi

  if [[ ! -e "${KUBE_ROOT}/version" ]]; then
    echo "Can't determine Kubernetes release." >&2
    echo "${BASH_SOURCE[0]} should only be run from a prebuilt Kubernetes release." >&2
    echo "Did you mean to use get-kube.sh instead?" >&2
    exit 1
  fi

  KUBE_VERSION=$(cat "${KUBE_ROOT}/version")
}

function detect_client_info() {
  if [ -n "${KUBERNETES_CLIENT_OS-}" ]; then
    CLIENT_PLATFORM="${KUBERNETES_CLIENT_OS}"

// RUN: tf-opt -split-input-file -verify-diagnostics -tfl-get-arithmetic-count %s | FileCheck %s

func.func @testConv2D(tensor<256x32x32x3xf32>, tensor<16x3x3x3xf32>, tensor<16xf32>) -> tensor<256x32x32x16xf32> {
^bb0(%arg0: tensor<256x32x32x3xf32>, %arg1: tensor<16x3x3x3xf32>, %arg2: tensor<16xf32>):
  // CHECK: _arithmetic_count = 230686720 : i64

Nils Lindemann <******@****.***> 1713469999 +0200

    Here **FastAPI** won't get confused because you are using `Depends`.

!!! check
    The way this dependency system is designed allows us to have different dependencies (different "dependables") that all return a `User` model.

    We are not restricted to having only one dependency that can return that type of data.

## Other models

Nils Lindemann <******@****.***> 1711822085 +0100

  if (!nested_module) return;

  InlinerInterface inliner(&getContext());
  auto walk_result = getOperation().walk([&](TF::PartitionedCallOp call_op) {
    if (!call_op.getF().getRootReference().getValue().starts_with(
            kNestedModule))
      return WalkResult::advance();
    // This is a call we need to inline!
    LLVM_DEBUG(llvm::dbgs()

  StringRef config = recv_op ? recv_op.getConfig() : send_op.getConfig();

  // Create XlaRecvTPUEmbeddingDeduplicationData op.
  OpBuilder builder(region);
  auto output_ty =
      RankedTensorType::get({}, VariantType::get(region->getContext()));
  auto dedup_op = builder.create<XlaRecvTPUEmbeddingDeduplicationDataOp>(
      loc, output_ty, config);

  // Rewrite RecvTPUEmbeddingActivations op to the corresponding internal op.