Remove the legacy backend RNG

CHANGELOG.md

@@ -37,6 +37,8 @@ and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0
 ### Removed
 
 * Removed the unused `FourZeroOffsets_Indexer`, `FixedDimStridedIndexer` and `ThreeOffsets_FixedDimStridedIndexer` from the libtensor header `utils/offset_utils.hpp` [#3131](https://github.com/IntelPython/dpnp/pull/3131)
+* Removed the legacy backend implementation of `dpnp.random`, which no longer needs `onemkl-sycl-rng` [#3163](https://github.com/IntelPython/dpnp/pull/3163)
+* Removed the unused parts of the legacy `dpnp_backend_c` library, including its empty GTest suite, the `DPNP_BACKEND_TESTS` CMake option and the NumPy fallback helper `call_origin` [#3163](https://github.com/IntelPython/dpnp/pull/3163)
 
 ### Fixed
 

CMakeLists.txt

@@ -42,7 +42,6 @@ option(
     "Build dpnp tensor pybind11 offloading extensions with coverage instrumentation"
     OFF
 )
-option(DPNP_BACKEND_TESTS "Enable building of DPNP backend test suite" OFF)
 option(
     DPNP_WITH_REDIST
     "Build DPNP assuming DPC++ redistributable is installed into Python prefix"

conda-recipe-cf/meta.yaml

@@ -56,7 +56,6 @@ requirements:
     - {{ pin_compatible('onemkl-sycl-blas', min_pin='x.x', max_pin='x') }}
     - {{ pin_compatible('onemkl-sycl-dft', min_pin='x.x', max_pin='x') }}
     - {{ pin_compatible('onemkl-sycl-lapack', min_pin='x.x', max_pin='x') }}
-    - {{ pin_compatible('onemkl-sycl-rng', min_pin='x.x', max_pin='x') }}
     - {{ pin_compatible('onemkl-sycl-vm', min_pin='x.x', max_pin='x') }}
     - numpy
     - ocl-icd-system  # [linux]

conda-recipe/meta.yaml

@@ -69,7 +69,6 @@ requirements:
       - {{ pin_compatible('onemkl-sycl-blas', min_pin='x.x', max_pin='x') }}
       - {{ pin_compatible('onemkl-sycl-dft', min_pin='x.x', max_pin='x') }}
       - {{ pin_compatible('onemkl-sycl-lapack', min_pin='x.x', max_pin='x') }}
-      - {{ pin_compatible('onemkl-sycl-rng', min_pin='x.x', max_pin='x') }}
       - {{ pin_compatible('onemkl-sycl-vm', min_pin='x.x', max_pin='x') }}
       - {{ pin_compatible('onemkl-sycl-sparse', min_pin='x.x', max_pin='x') }}
       - numpy

conda-recipe/rattler_recipe.yaml

@@ -70,7 +70,6 @@ requirements:
     - ${{ pin_compatible('onemkl-sycl-blas', lower_bound='x.x', upper_bound='x') }}
     - ${{ pin_compatible('onemkl-sycl-dft', lower_bound='x.x', upper_bound='x') }}
     - ${{ pin_compatible('onemkl-sycl-lapack', lower_bound='x.x', upper_bound='x') }}
-    - ${{ pin_compatible('onemkl-sycl-rng', lower_bound='x.x', upper_bound='x') }}
     - ${{ pin_compatible('onemkl-sycl-vm', lower_bound='x.x', upper_bound='x') }}
     - ${{ pin_compatible('onemkl-sycl-sparse', lower_bound='x.x', upper_bound='x') }}
     - numpy

dpnp/AGENTS.md

@@ -7,7 +7,7 @@
 - `dpnp_utils/`: shared helpers (`get_usm_allocations`, `map_dtype_to_device`, reduction wrappers)
 - `linalg/`, `fft/`, `random/`, `scipy/`, `lib/`: subpackages, each exporting through its own `__init__.py`
 - `random/`: `_bit_generator.py` (`BitGenerator`, `Philox4x3210`, `PCG64DXSM`, `MRG32k3a`; `SeedSequence` is NumPy's), `_generator.py` (`Generator`, which implements every distribution), `dpnp_random_state.py` (`RandomState`, the same samplers with NumPy's legacy checks) and `dpnp_iface_random.py` (module functions, one `RandomState` per queue). The kernels are in `dpnp.libtensor._rng_impl`.
-- Legacy, don't extend: the Cython `dpnp_algo` path and `dpnp_backend_c` (still used by `dpnp.partition` and `dpnp.random`), and the NumPy fallback `call_origin`. New kernels go into `dpnp/libtensor` (see `dpnp/libtensor/AGENTS.md`).
+- Legacy, don't extend: the Cython `dpnp_algo` path and `dpnp_backend_c` (still used by `dpnp.partition`). New kernels go into `dpnp/libtensor` (see `dpnp/libtensor/AGENTS.md`).
 
 ## Adding a Public Function
 1. Implement it in the matching `dpnp_iface_*.py` or subpackage module. Iface modules have no `__all__`.

dpnp/CMakeLists.txt

@@ -235,4 +235,3 @@ add_subdirectory(libtensor/extensions/sparse)
 
 add_subdirectory(dpnp_algo)
 add_subdirectory(dpnp_utils)
-add_subdirectory(random)

dpnp/backend/AGENTS.md

@@ -3,5 +3,5 @@
 Legacy, don't extend: new kernels and bindings go into `dpnp/libtensor` (see `dpnp/libtensor/AGENTS.md`, which also holds the C++ rules and build options).
 
 ## Layout
-- `src/`, `include/` and `kernels/dpnp_krnl_*.cpp` build `dpnp_backend_c` (still used by `dpnp.partition` and `dpnp.random`); `tests/` (GTest, `-DDPNP_BACKEND_TESTS=ON`) and `examples/` are not built in CI
+- `src/`, `include/` and `kernels/dpnp_krnl_*.cpp` build `dpnp_backend_c` (still used by `dpnp.partition`)
 - `cmake/Modules/`: vendored `IntelSYCL`, `MKL`, `TBB` and `oneDPL` config modules, used by the whole build

dpnp/backend/CMakeLists.txt

@@ -27,17 +27,7 @@
 # THE POSSIBILITY OF SUCH DAMAGE.
 # *****************************************************************************
 
-set(DPNP_SRC
-    kernels/dpnp_krnl_arraycreation.cpp
-    kernels/dpnp_krnl_common.cpp
-    kernels/dpnp_krnl_random.cpp
-    kernels/dpnp_krnl_sorting.cpp
-    src/dpnp_iface_fptr.cpp
-    src/memory_sycl.cpp
-    src/queue_sycl.cpp
-    src/verbose.cpp
-    src/dpnp_random_state.cpp
-)
+set(DPNP_SRC kernels/dpnp_krnl_sorting.cpp src/dpnp_iface_fptr.cpp)
 
 set(_trgt "dpnp_backend_c")
 
@@ -69,12 +59,6 @@ if(DPNP_GENERATE_COVERAGE)
     target_link_options(${_trgt} PRIVATE -fprofile-instr-generate -fcoverage-mapping)
 endif()
 
-# Link only the MKL SYCL domains actually used by the backend sources
-# (BLAS: mkl_blas::scal; RNG: engines/distributions; VM: vector math ops)
-target_link_libraries(
-    ${_trgt}
-    PUBLIC MKL::MKL_SYCL::BLAS MKL::MKL_SYCL::RNG MKL::MKL_SYCL::VM
-)
 target_link_libraries(${_trgt} PUBLIC oneDPL)
 
 if(UNIX)
@@ -103,10 +87,6 @@ if(DPNP_WITH_REDIST)
     set_target_properties(${_trgt} PROPERTIES INSTALL_RPATH "$ORIGIN/../../../")
 endif()
 
-if(DPNP_BACKEND_TESTS)
-    add_subdirectory(tests)
-endif()
-
 set(_lib_destination dpnp)
 set(_include_destination dpnp/backend/include)
 install(