// license that can be found in the LICENSE file.

//go:build freebsd

package runtime

import (
	"internal/runtime/atomic"
	"unsafe"
)

const _VDSO_TH_NUM = 4 // defined in <sys/vdso.h> #ifdef _KERNEL

var timekeepSharedPage *vdsoTimekeep

//go:nosplit
func (bt *bintime) Add(bt2 *bintime) {
	u := bt.frac
	bt.frac += bt2.frac
	if u > bt.frac {
		bt.sec++
	}
	bt.sec += bt2.sec
}

        self._bias = None
        if bias_shape is not None:
          self._bias = array_ops.constant(
              np.random.uniform(size=bias_shape), dtype=dtypes.float32
          )

        self._kernel = np.random.uniform(size=y_shape).astype('f4')
        self._min = (-0.8, -0.8, -0.9)
        self._max = (0.9, 0.9, 1.0)

      @def_function.function(
          input_signature=[

  auto add = Add(root.WithKernelLabel("AddWithKernelLabel"), 1.0f, 2.0f);
  TF_EXPECT_OK(root.status());
  AttrSlice attrs = add.z.op().node()->attrs();
  const auto* kernel_attr = attrs.Find("_kernel");
  ASSERT_TRUE(kernel_attr);
  TF_EXPECT_OK(AttrValueHasType(*kernel_attr, "string"));
  EXPECT_EQ(kernel_attr->s(), "AddWithKernelLabel");
}

TEST(CCOpTest, ColocateWith) {

  /// of setting the status on the scope.
  Scope ExitOnError() const;

  /// Return a new scope. All ops created with the new scope will have
  /// kernel_label as the value for their '_kernel' attribute;
  Scope WithKernelLabel(const string& kernel_label) const;

  // The following functions are for scope object consumers.

  /// Return a unique name, using default_name if an op name has not been

  for (const auto& op : impl()->control_deps_) {
    control_inputs.push_back(op.node());
  }
  builder->ControlInputs(control_inputs);

  if (!impl()->kernel_label_.empty()) {
    builder->Attr("_kernel", impl()->kernel_label_);
  }

  if (!impl()->colocation_constraints_.empty()) {
    std::vector<string> constraints(impl()->colocation_constraints_.begin(),

        self._bias = None
        if bias_shape is not None:
          self._bias = array_ops.constant(
              np.random.uniform(size=bias_shape), dtype=dtypes.float32
          )

        self._kernel = np.random.uniform(size=y_shape).astype('f4')
        self._min = (-0.8, -0.8, -0.9)
        self._max = (0.9, 0.9, 1.0)

      @def_function.function(
          input_signature=[

      c_kernel_ =
          (*create_func)(reinterpret_cast<TF_OpKernelConstruction*>(ctx));
    } else {
      c_kernel_ = nullptr;
    }
  }

  void Compute(OpKernelContext* ctx) override {
    (*compute_func_)(c_kernel_, reinterpret_cast<TF_OpKernelContext*>(ctx));
  }

  ~COpKernel() override {
    if (delete_func_ != nullptr) {
      (*delete_func_)(c_kernel_);
    }
  }

// Plugin should implement TF_InitKernel to register kernels. This function
// should register all kernels in a plugin.
void TF_InitKernel();

// Allocates a new kernel builder and returns a pointer to it.
//
// If non-null, TensorFlow will call create_func when it needs to instantiate
// the kernel. The pointer returned by create_func will be passed to
// compute_func and delete_func, thereby functioning as a "this" pointer for

  *kernel = std::make_unique<XlaLocalLaunchBase>(
      &construction, constant_arg_indices, resource_arg_indices, function,
      /*has_ref_vars=*/false);
  return s;
}

Status XlaKernelCreator::CreateKernel(
    FunctionLibraryRuntime* flr,
    const std::shared_ptr<const NodeProperties>& props,
    std::unique_ptr<OpKernel>* kernel) const {

#include "tensorflow/core/kernels/data/iterator_ops.h"
#include "tensorflow/core/kernels/data/optional_ops.h"
#include "tensorflow/core/kernels/data/options_dataset_op.h"
#include "tensorflow/core/kernels/data/prefetch_dataset_op.h"
#include "tensorflow/core/kernels/fifo_queue.h"
#include "tensorflow/core/kernels/function_ops.h"
#include "tensorflow/core/kernels/identity_op.h"
#include "tensorflow/core/kernels/resource_variable_ops.h"