Added tensor_impl._same_logical_tensors predicate

The predicate determines is argument arrays are the same
(same dimension, shape, data type, pointer, strides). Used
to determine if copying must be performed in case of overlap
to avoid race condition.

Author: oleksandr-pavlyk

dpctl/tensor/libtensor/source/tensor_py.cpp

@@ -60,6 +60,7 @@ using dpctl::tensor::c_contiguous_strides;
 using dpctl::tensor::f_contiguous_strides;
 
 using dpctl::tensor::overlap::MemoryOverlap;
+using dpctl::tensor::overlap::SameLogicalTensors;
 
 using dpctl::tensor::py_internal::copy_usm_ndarray_into_usm_ndarray;
 
@@ -338,6 +339,15 @@ PYBIND11_MODULE(_tensor_impl, m)
           "Determines if the memory regions indexed by each array overlap",
           py::arg("array1"), py::arg("array2"));
 
+    auto same_logical_tensors = [](dpctl::tensor::usm_ndarray x1,
+                                   dpctl::tensor::usm_ndarray x2) -> bool {
+        auto const &same_logical_tensors = SameLogicalTensors();
+        return same_logical_tensors(x1, x2);
+    };
+    m.def("_same_logical_tensors", same_logical_tensors,
+          "Determines if the memory regions indexed by each array are the same",
+          py::arg("array1"), py::arg("array2"));
+
     m.def("_place", &py_place, "", py::arg("dst"), py::arg("cumsum"),
           py::arg("axis_start"), py::arg("axis_end"), py::arg("rhs"),
           py::arg("sycl_queue"), py::arg("depends") = py::list());