remove remaining documentation referencing dpctl.tensor

Author: ndgrigorian

docs/doc_sources/api_reference/dpctl/examples/usm_ndarray.rst

@@ -49,6 +49,5 @@ Supported values for ``DeviceType`` are:
 
 Filter selector strings can be used as arguments to constructors of
 :py:class:`dpctl.SyclDevice`, :py:class:`dpctl.SyclContext`,
-:py:class:`dpctl.SyclPlatform`, :py:class:`dpctl.SyclQueue`,
-or :py:class:`dpctl.tensor.Device` classes, as well as values of
-``device`` keyword in :ref:`array creation functions <dpctl_tensor_creation_functions>`.
+:py:class:`dpctl.SyclPlatform`, or :py:class:`dpctl.SyclQueue`
+classes.

docs/doc_sources/api_reference/dpctl/filter_selector_string.rst

@@ -16,8 +16,6 @@
       - Unified Shared Memory operations
     * - :py:mod:`dpctl.program`
       - Support for working with SYCL kernels
-    * - :py:mod:`dpctl.tensor`
-      - Array library conforming to Python Array API specification
     * - :py:mod:`dpctl.utils`
       - A collection of utility functions
 

docs/doc_sources/api_reference/dpctl/flags.rst

@@ -3,11 +3,14 @@
 ``__sycl_usm_array_interface__`` attribute
 ==========================================
 
+``__sycl_usm_array_interface__`` is a Python attribute designed to support extensions
+that implement arrays with underlying USM allocations.
+
 Python objects representing USM allocations, such as :py:class:`dpctl.memory.MemoryUSMDevice`,
-:py:class:`dpctl.memory.MemoryUSMShared`, :py:class:`dpctl.memory.MemoryUSMHost`,
-or :py:class:`dpctl.tensor.usm_ndarray`, distinguish themselves from other Python objects
-by providing the ``__sycl_usm_array_interface__`` attribute describing the allocation in a
-Python dictionary with the following fields:
+:py:class:`dpctl.memory.MemoryUSMShared` or :py:class:`dpctl.memory.MemoryUSMHost`,
+distinguish themselves from other Python objects by providing the
+``__sycl_usm_array_interface__`` attribute describing the allocation in a Python dictionary
+with the following fields:
 
 ``"shape"``
     a tuple of integers describing dimensions of an N-dimensional array