}

  CartesianList(ImmutableList<List<E>> axes) {
    this.axes = axes;
    int[] axesSizeProduct = new int[axes.size() + 1];
    axesSizeProduct[axes.size()] = 1;
    try {
      for (int i = axes.size() - 1; i >= 0; i--) {
        axesSizeProduct[i] = IntMath.checkedMultiply(axesSizeProduct[i + 1], axes.get(i).size());
      }
    } catch (ArithmeticException e) {

  }

  CartesianList(ImmutableList<List<E>> axes) {
    this.axes = axes;
    int[] axesSizeProduct = new int[axes.size() + 1];
    axesSizeProduct[axes.size()] = 1;
    try {
      for (int i = axes.size() - 1; i >= 0; i--) {
        axesSizeProduct[i] = IntMath.checkedMultiply(axesSizeProduct[i + 1], axes.get(i).size());
      }
    } catch (ArithmeticException e) {

      int adjust = size() - 1;
      for (int i = 0; i < axes.size(); i++) {
        adjust *= 31;
        adjust = ~~adjust;
        // in GWT, we have to deal with integer overflow carefully
      }
      int hash = 1;
      for (Set<E> axis : axes) {
        hash = 31 * hash + (size() / axis.size() * axis.hashCode());

        hash = ~~hash;
      }
      hash += adjust;

      context.get(), components, device_name, status.get());
  ASSERT_EQ(TF_GetCode(status.get()), TF_OK) << TF_Message(status.get());
  int num_axes = TFE_TensorHandleNumDims(combined_value.get(), status.get());
  ASSERT_EQ(TF_GetCode(status.get()), TF_OK) << TF_Message(status.get());
  EXPECT_EQ(num_axes, 1);
}

TEST(PARALLEL_DEVICE, TestNestedParallelDevices) {
  std::unique_ptr<TF_Status, decltype(&TF_DeleteStatus)> status(

                                        std::move(mixed_handles), status.get());
  ASSERT_TRUE(TF_GetCode(status.get()) == TF_OK);
  // Can't take the shape of a parallel tensor with varying numbers of axes, but
  // running operations on them is OK.
  TF_ASSERT_OK(unknown_length_vector->Shape(&shape));
  EXPECT_THAT(*shape, ElementsAre(-1));
  std::unique_ptr<TFE_Op, decltype(&TFE_DeleteOp)> size_op(

   *
   * @param lists the lists to choose elements from, in the order that the elements chosen from
   *     those lists should appear in the resulting lists
   * @param <B> any common base class shared by all axes (often just {@link Object})
   * @return the Cartesian product, as an immutable list containing immutable lists
   * @throws IllegalArgumentException if the size of the cartesian product would be greater than

`seq_dim` becomes `seq_axis` * `tf.sparse_concat`: `concat_dim` becomes `axis` *
`tf.sparse_reduce_sum`: `reduction_axes` becomes `axis` *
`tf.sparse_reduce_sum_sparse`: `reduction_axes` becomes `axis` *
`tf.sparse_split`: `split_dim` becomes `axis` * `tf.listdiff` has been renamed
to `tf.setdiff1d` to match NumPy naming. * `tf.inv` has been renamed to be

// Code generated by avx512test. DO NOT EDIT.

#include "../../../../../../runtime/textflag.h"

TEXT asmtest_aes_avx512f(SB), NOSPLIT, $0
	VAESDEC X24, X7, X11                               // 62124508ded8 or 6212c508ded8
	VAESDEC X20, X7, X11                               // 62324508dedc or 6232c508dedc
	VAESDEC X24, X0, X11                               // 62127d08ded8 or 6212fd08ded8

glad to get an opportunity of showing off a little of her
knowledge.  `Just think of what work it would make with the day
and night!  You see the earth takes twenty-four hours to turn
round on its axis--'

  `Talking of axes,' said the Duchess, `chop off her head!'

  Alice glanced rather anxiously at the cook, to see if she meant
to take the hint; but the cook was busily stirring the soup, and

glad to get an opportunity of showing off a little of her
knowledge.  `Just think of what work it would make with the day
and night!  You see the earth takes twenty-four hours to turn
round on its axis--'

  `Talking of axes,' said the Duchess, `chop off her head!'

  Alice glanced rather anxiously at the cook, to see if she meant
to take the hint; but the cook was busily stirring the soup, and