message: Remove the limitation of int max for dim_size in SparseDenseCwise ops
  This fix tries to address the issue raised in 25701 where
  the dim_size in SparseDenseCwise ops was set to
  `std::numeric_limits<int>::max`. The restriction is likely unnecesary,
  due to historical reasons. This fix remove this limitation.
  This fix fixes 25701.
diff: @@ -78,9 +78,6 @@ class SparseDenseBinaryOpShared : public OpKernel {
  "but received shapes: ",
  values_t->shape().DebugString(), " and ",
  shape_t->shape().DebugString()));
  - OP_REQUIRES(ctx, indices_t->dim_size(0) < std::numeric_limits<int>::max(),
  - errors::InvalidArgument(
  - "Number of non-zero elements exceeds int32 range"));
  const auto indices_mat = indices_t->matrix<int64>();
  const auto shape_vec = shape_t->vec<int64>();
  @@ -106,7 +103,7 @@ class SparseDenseBinaryOpShared : public OpKernel {
  Tensor *output_values = nullptr;
  Tensor dense_gathered;
  - const int nnz = static_cast<int>(indices_t->dim_size(0));
  + const int64 nnz = indices_t->dim_size(0);
  OP_REQUIRES_OK(ctx,
  ctx->allocate_output(0, TensorShape({nnz}), &output_values));
  OP_REQUIRES_OK(
  