leading zeroes. func (x *Nat) setBig(n *big.Int) *Nat { limbs := n.Bits() x.reset(len(limbs)) for i := range limbs { x.limbs[i] = uint(limbs[i]) } return x } func (n *Nat) asBig() *big.Int { bits := make([]big.Word, len(n.limbs)) for i := range n.limbs { bits[i] = big.Word(n.limbs[i]) } return new(big.Int).SetBits(bits) } func (n *Nat) String() string { var limbs []string for i := range n.limbs { limbs = append(limbs, fmt.Sprintf("%016X", n.limbs[len(n.limbs)-1-i])) } return "{" + strings.Join(limbs,...

    int num_dims = output_shapes->items[0].num_dims;
    int64_t* dims = output_shapes->items[0].dims;

    if (!expected_shape.has_value()) {
      EXPECT_EQ(num_dims, -1);
      EXPECT_EQ(dims, nullptr);
      return;
    }

    EXPECT_EQ(num_dims, expected_shape->size());
    for (size_t i = 0; i < num_dims; ++i) {
      EXPECT_EQ(dims[i], (*expected_shape)[i]);
    }

  if (num_dims < 0) {
    proto.set_unknown_rank(true);
  } else {
    for (int d = 0; d < num_dims; ++d) {
      proto.add_dim()->set_size(dims[d]);
    }
  }

  forward_op_->attrs.Set(attr_name, proto);
  return op_->SetAttrShape(attr_name, dims, num_dims);
}
absl::Status SetAttrFunction(AbstractOperation* op_, const char* attr_name,
                             const AbstractOperation* value,

  const int num_dims = 2;
  int64_t* dims = new int64_t[num_dims];
  int64_t num_elements = 1;
  dims[0] = batch_size;
  dims[1] = 1;
  for (int64_t i = 0; i < num_dims; ++i) {
    num_elements *= dims[i];
  }
  TF_Tensor* t = TF_AllocateTensor(TF_STRING, dims, num_dims,
                                   sizeof(TF_TString) * num_elements);
  delete[] dims;

- Update to latest cAdvisor 0.55.0 in our vendor dependencies ([#135829](https://github.com/kubernetes/kubernetes/pull/135829), [@dims](https://github.com/dims)) [SIG Node]
- Using pytorch based e2e integration test instead of tensorflow in some node e2e CI tests. ([#136397](https://github.com/kubernetes/kubernetes/pull/136397), [@dims](https://github.com/dims)) [SIG Testing]

- Changed apiserver to treat failures decoding a mutating webhook patch as failures to call the webhook so they trigger the webhook failurePolicy and count against metrics like `webhook_fail_open_count` ([#131627](https://github.com/kubernetes/kubernetes/pull/131627), [@dims](https://github.com/dims)) [SIG API Machinery]

### Other (Cleanup or Flake)

- NONE
  NONE ([#136634](https://github.com/kubernetes/kubernetes/pull/136634), [@dims](https://github.com/dims)) [SIG Network and Testing]

## Dependencies

### Added
_Nothing has changed._

### Changed

### Uncategorized

- NONE
  NONE ([#127462](https://github.com/kubernetes/kubernetes/pull/127462), [@dims](https://github.com/dims)) [SIG Node and Testing]

## Dependencies

### Added
_Nothing has changed._

### Changed
_Nothing has changed._

### Removed
_Nothing has changed._

### Other (Cleanup or Flake)

- NONE
  NONE ([#136636](https://github.com/kubernetes/kubernetes/pull/136636), [@dims](https://github.com/dims)) [SIG Network and Testing]

## Dependencies

### Added
_Nothing has changed._

### Changed

### Other (Cleanup or Flake)

- NONE
  NONE ([#136637](https://github.com/kubernetes/kubernetes/pull/136637), [@dims](https://github.com/dims)) [SIG Network and Testing]

## Dependencies

### Added
_Nothing has changed._

### Changed
_Nothing has changed._

### Removed
_Nothing has changed._