Merge 0.13.1dev1 from master to gold
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antonwolfy
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Jan 9, 2024
antonwolfy
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- Have you provided a meaningful PR description?
- Have you added a test, reproducer or referred to issue with a reproducer?
- Have you tested your changes locally for CPU and GPU devices?
- Have you made sure that new changes do not introduce compiler warnings?
- Have you checked performance impact of proposed changes?
- If this PR is a work in progress, are you filing the PR as a draft?
* Decrease array size for stability (#1227) * dpnp_array must expose usm_type (#1228) * Leave is_host() call with old compiler only (#1224) * Leave is_host() call with old compiler only * Incremented 2023-SWITCHOVER timestamp * Exclude running upload steps for fork repo (#1230) * Setting version to 0.11.0 (#1231)
Merge master into gold/2021
* Complete support of python 3.10 in external CI (#1269) * Set minimum required versions & fix debug building (#1270) * Set minimum required versions & fix debug building * Fix typo * Add support of NumPy 1.24 (#1276) * Set minimum required versions & fix debug building * Add support of numpy 1.24 * Get rid of 'has_aspect_host' property in tests (#1274) * Set minimum required versions & fix debug building * Get rid of 'has_aspect_host' property in tests * Update tests/test_sycl_queue.py Co-authored-by: Oleksandr Pavlyk <[email protected]> Co-authored-by: Oleksandr Pavlyk <[email protected]> * Add support of dpnp.less_equal() (#1275) * Set minimum required versions & fix debug building * Add support of dpnp.less_equal() * Test no broadcast together with input shapes * Add support of comparison operations (#1278) * Use eye() function from dpctl.tensor. (#1271) * Use eye() function from dpctl.tensor. * Add missed order in test for eye() function. * Updated copyright year. Added parameter like for eye() function. * Removed input argumet additional kwards for eye() function. * Get rid of unsupported types in array creation tests (#1283) * Add support of logical comparison operations (#1280) * Add device and sycl_queue keyword arguments to random calls (#1277) * Set minimum required versions & fix debug building * Add device and sycl_queue keyword arguments to random calls * Add device and sycl_queue to dpnp.random.seed() & use random values if seed is None * Update dpnp/random/dpnp_iface_random.py Co-authored-by: Oleksandr Pavlyk <[email protected]> --------- Co-authored-by: Oleksandr Pavlyk <[email protected]> * add __repr__ * add __str__ * reviewer's comments * Fixed gh-1272 (#1287) * Support high=None in dpnp.randint() (#1284) * linter changes applied * Add operation __index__ and __complex__ (#1285) * Add operation __index__ and __complex__ * Add tests * Update tests with proper call of dpctl.SyclQueue() (#1290) * Update minimum required versions of dependent components. (#1289) * dpnp.add() doesn't work properly with a scalar (#1288) * dpnp.add() doesn't work properly with a scalar * get rid of dpctl.SyclQueue() call in tests with unsupported device keyword * Add a fix for crash on CPU device * USM type in operations with a scalar * Porting fix for crash to logic kernel * Add dlpack support with tests and docstrings * Add a test for dlpack with dpt * Fix remarks, add _create_from_usm_ndarray func and move tests to test_sycl_queue * Use tril() and triu() function from dpctl.tensor (#1286) * Use tril() function from dpctl.tensor * Use triu() function from dpctl.tensor * Changed tests for tril() and triu() functions. * Skip tests for tril() and triu() functions with usm_type. * dpnp.subtract() doesn't work properly with a scalar (#1292) * dpnp.add() doesn't work properly with a scalar * dpnp.subtract() doesn't work properly with a scalar * USM type in operations with a scalar * Rollback excluded 'floor_divide' tests from skip scope * Explicit vector operations instead of saturation functions * Use std::int32_t and std::int64_t types * Tune tail's loop of kernel for the vector op * dpnp.divide() doesn't work properly with a scalar (#1295) * dpnp.add() doesn't work properly with a scalar * dpnp.subtract() doesn't work properly with a scalar * dpnp.divide() doesn't work properly with a scalar * dpnp.divide() doesn't work properly with a scalar * Use std::int32_t and std::int64_t types * Disable floating-point optimizations that assume arguments and results are not NaNs or +-Inf * Fix issue with divide on Iris Xe * Updae example3 building from debug build script (#1298) * Remove temporary solution accepting CFD with equal SYCL context instead of queue (#1303) * Intel LLVM is to use conda's gcc toolchain, sysroot and target libraries (#1306) * Tests are crashing if no default device (#1311) * Setting version to 0.11.1 (#1308) --------- Co-authored-by: Oleksandr Pavlyk <[email protected]> Co-authored-by: Natalia Polina <[email protected]> Co-authored-by: Vahid Tavanashad <[email protected]> Co-authored-by: Vladislav Perevezentsev <[email protected]>
Merge master into gold/2021
Merge master into gold/2021
* Pin DPC++ 2023.1.0 * Require minimum version of sysroot >= 2.17
Removed linker option -fsycl-device-code-split=per_kernel option from CFLAGS, added SDL mandated -fwrapv
* Add dpnp.extract() using dpctl.tensor.extract()
* Reuse dpctl.tensor.place for dpnp.place * Remove unused declaration and usefixtures
To build dpnp, one one does ```bash CC=icx CXX=icpx python setup.py develop -G Ninja -- -DDPCTL_MODULE_PATH=$(python -m dpctl --cmakedir) ``` or on Windows ```cmd python setup.py develop -G Ninja -- -DDPCTL_MODULE_PATH=<path> -DCMAKE_C_COMPILER=icx -DCMAKE_CXX_COMPILER=icx ``` where the `<path>` is the output of `python -m dpctl --cmakedir`.
…dpnp_backend_c in target_link_libraries for CTest
Merge master to gold/2021
Merge master to gold/2021
Merge master to gold/2021
Development milestone 0.12.2dev1
Merge 0.13.0rc2 into gold/2021
Merge 0.13.0rc3 into gold/2021
Merge master to gold/2021
This reverts commit 5933764.
* fix cholesky for 0-D array (#1584) Co-authored-by: Anton <[email protected]> * fix `dpnp.linalg.qr` and `dpnp.linalg.det` functions (#1592) * modifying dpnp.linalg.qr function * modifying dpnp.linalg.det function * fix pre-commit --------- Co-authored-by: Anton <[email protected]>
Merge master into gold
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