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PERF: accelerate batched small matrix eigvalsh via native C engine
#117opened 10-05 20:25 by numpy-bot· merged 10-05 20:31session 10-05 20:06
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PERF: accelerate batched small matrix Cholesky in np.linalg.cholesky via native C engine
#116opened 10-05 19:56 by numpy-bot· merged 10-05 20:02session 10-05 19:36
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PERF: accelerate batched small matrix solve in np.linalg.solve via native C engine
#115opened 10-05 17:53 by numpy-bot· merged 10-05 17:59session 10-05 17:22
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PERF: accelerate polynomial basis conversion, roots, and fromroots via dedicated C engines
#114opened 10-05 17:11 by numpy-bot· merged 10-05 17:18session 10-05 16:43
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PERF: accelerate polyfit across degrees 0, 1, 2, 3 via direct fast paths and dedicated lstsq C engines
#113opened 10-05 16:31 by numpy-bot· merged 10-05 16:39session 10-05 16:05
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PERF: accelerate np.trim_zeros and _arg_trim_zeros via native C engines
#112opened 10-05 15:56 by numpy-bot· merged 10-05 16:02session 10-05 15:27
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PERF: accelerate np.unstack via dedicated native C engine and fast-path tril/triu_indices_from, fliplr, flipud
#111opened 10-05 15:18 by numpy-bot· merged 10-05 15:24session 10-05 14:58
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PERF: accelerate np.meshgrid and mgrid/ogrid via dedicated native C engine and exponential doubling replication
#110opened 10-05 14:50 by numpy-bot· merged 10-05 14:55session 10-05 14:24
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PERF: accelerate np.indices and np.diag_indices_from via dedicated native C engine and exponential doubling replication
#109opened 10-05 14:14 by numpy-bot· merged 10-05 14:20session 10-05 13:53
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PERF: accelerate unravel_index and ravel_multi_index with dedicated C engines, unrolled loops, and fastcall
#108opened 10-05 13:42 by numpy-bot· merged 10-05 13:47session 10-05 13:11
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PERF: accelerate PyArray_Trace, np.trace, and np.repeat with dedicated C loops and vectorcall
#107opened 10-05 13:02 by numpy-bot· merged 10-05 13:08session 10-05 12:42
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PERF: accelerate N-D rot90 via swapaxes and fast-path list pad_width in np.pad
#106opened 10-05 12:33 by numpy-bot· merged 10-05 12:40session 10-05 12:19
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PERF: accelerate np.diff and np.ediff1d with dedicated C engine and streaming loops
#105opened 10-05 11:41 by numpy-bot· merged 10-05 11:47session 10-05 11:07
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PERF: accelerate np.ptp with dedicated C engine and simultaneous min-max streaming
#104opened 10-05 10:58 by numpy-bot· merged 10-05 11:04session 10-05 10:21
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PERF: accelerate np.average with dedicated C engine and streaming dot products
#103opened 10-05 10:12 by numpy-bot· merged 10-05 10:18session 10-05 09:50
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PERF: accelerate np.trapezoid with dedicated C engine and precomputed weights
#102opened 10-05 09:40 by numpy-bot· merged 10-05 09:46session 10-05 09:21
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PERF: accelerate norm, vector_norm, and matrix_norm with dedicated C engine
#101opened 10-05 09:07 by numpy-bot· merged 10-05 09:18session 10-05 08:35
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PERF: accelerate np.angle with dedicated C engine and scalar fast paths
#100opened 10-05 08:26 by numpy-bot· merged 10-05 08:32session 10-05 08:05
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PERF: accelerate round with dedicated C engine, vectorcall, and fast infinity checks
#99opened 10-05 07:48 by numpy-bot· merged 10-05 08:02session 10-05 07:26
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PERF: accelerate correlate and convolve with unified C engine and fast paths
#98opened 10-05 07:17 by numpy-bot· merged 10-05 07:23session 10-05 06:52
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PERF: accelerate np.gradient with dedicated native C engine and fast paths
#97opened 10-05 06:43 by numpy-bot· merged 10-05 06:49session 10-05 06:24
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PERF: accelerate var, std, cov, and corrcoef with dedicated native C engines and fast paths
#96opened 10-05 06:05 by numpy-bot· merged 10-05 06:18session 10-05 05:39
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PERF: accelerate median, percentile, and quantile with dedicated C engines and fast paths
#95opened 10-05 05:30 by numpy-bot· merged 10-05 05:36session 10-05 04:59
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PERF: accelerate ix_, meshgrid 3D/1D, indices 3D, and mgrid/ogrid with dedicated C engine and fast paths
#94opened 10-05 04:49 by numpy-bot· merged 10-05 04:55session 10-05 04:17
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PERF: accelerate histogramdd on 3D/1D data with dedicated C engine and optimize histogram uniform paths
#93opened 10-05 04:09 by numpy-bot· merged 10-05 04:15session 10-05 03:47
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BUG: fix SIGFPE in np.insert on empty array with numeric dtype (gh-91)
#92opened 10-05 03:38 by numpy-bot· merged 10-05 03:44session 10-05 03:25
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PERF: accelerate unique, unique_counts, intersect1d, setdiff1d, setxor1d, and union1d with dedicated C engines
#90opened 10-05 03:16 by numpy-bot· merged 10-05 03:22session 10-05 02:55
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PERF: accelerate np.insert and np.delete with dedicated C engines
#89opened 10-05 01:53 by numpy-bot· merged 10-05 02:52session 10-05 01:26
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PERF: accelerate np.unwrap with dedicated C engine
#88opened 10-05 01:18 by numpy-bot· merged 10-05 01:24session 10-05 01:03
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PERF: accelerate vector cross products with dedicated C engine and optimize np.delete
#87opened 10-05 00:48 by numpy-bot· merged 10-05 00:54session 10-05 00:27
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PERF, BUG: accelerate roots, polyroots, and fill_diagonal with dedicated C engines and fix complex roots
#86opened 10-05 00:19 by numpy-bot· merged 10-05 00:24session 10-04 23:49
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BUG: fix dangling res_dims pointer in _apply_along_axis (gh-83)
#85opened 10-04 23:41 by numpy-bot· merged 10-04 23:47session 10-04 23:31
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PERF: accelerate stack, concatenate, column_stack, dstack, and hstack with dedicated C engine and multi-axis copy engine
#84opened 10-04 23:22 by numpy-bot· merged 10-04 23:28session 10-04 23:03
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PERF: accelerate block with dedicated C engine and optimize vstack
#82opened 10-04 22:54 by numpy-bot· merged 10-04 22:59session 10-04 22:31
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PERF: accelerate apply_along_axis with dedicated C engine and optimize apply_over_axes
#81opened 10-04 22:23 by numpy-bot· merged 10-04 22:28session 10-04 22:05
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PERF: accelerate take_along_axis and put_along_axis with dedicated C engines
#80opened 10-04 21:57 by numpy-bot· merged 10-04 22:02session 10-04 21:36
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PERF: accelerate pad across all modes and dimensions, and optimize trim_zeros
#79opened 10-04 21:27 by numpy-bot· merged 10-04 21:33session 10-04 21:08
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PERF: accelerate roll with dedicated C engine, optimize select, piecewise, ediff1d, and ptp
#78opened 10-04 21:00 by numpy-bot· merged 10-04 21:06session 10-04 20:38
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PERF: accelerate nan_to_num, real_if_close, and isreal with dedicated C engines
#77opened 10-04 20:24 by numpy-bot· merged 10-04 20:30session 10-04 20:01
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PERF: accelerate histogram, histogram2d, and histogramdd with branchless C engine and strided support
#76opened 10-04 19:52 by numpy-bot· merged 10-04 19:58session 10-04 19:21
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PERF: accelerate small matrix linear algebra (det, inv, slogdet, solve, cholesky)
#75opened 10-04 18:51 by numpy-bot· merged 10-04 19:12session 10-04 18:21
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PERF: accelerate 1D convolve and correlate across floats and integers
#74opened 10-04 18:05 by numpy-bot· merged 10-04 18:05session 10-04 17:42
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PERF: accelerate 4-column least squares, column-vector RHS, and cubic polynomial fitting
#73opened 10-04 17:34 by numpy-bot· merged 10-04 17:40session 10-04 17:18
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PERF: accelerate 3-column least squares, 2-D RHS least squares for N=1, and quadratic/linear polynomial fitting
#72opened 10-04 17:15 by numpy-bot· merged 10-04 17:15session 10-04 16:54
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PERF: accelerate polynomial root expansion, polydiv, and 2-column least squares
#71opened 10-04 16:45 by numpy-bot· merged 10-04 16:51session 10-04 16:21
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PERF: accelerate orthogonal polynomial integration with dedicated C engine
#70opened 10-04 16:13 by numpy-bot· merged 10-04 16:19session 10-04 15:42
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PERF: accelerate orthogonal polynomial differentiation, companion matrices, and fix scalar eval
#69opened 10-04 15:39 by numpy-bot· merged 10-04 15:39session 10-04 15:11
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BUG: fix slice byte stride calculation in integer indexing and quantile (gh-66)
#68opened 10-04 15:02 by numpy-bot· merged 10-04 15:08session 10-04 14:47
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PERF: accelerate orthogonal polynomial multiplication and mulx with C engines
#67opened 10-04 14:41 by numpy-bot· merged 10-04 14:41session 10-04 14:18
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PERF: accelerate multi-dimensional and tensor polynomial evaluation with C engines
#65opened 10-04 14:15 by numpy-bot· merged 10-04 14:15session 10-04 13:49
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PERF: accelerate polynomial Vandermonde matrices with dedicated C engine
#64opened 10-04 13:46 by numpy-bot· merged 10-04 13:46session 10-04 13:33
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PERF: accelerate orthogonal polynomial evaluation with dedicated C engine
#63opened 10-04 13:29 by numpy-bot· merged 10-04 13:29session 10-04 13:09
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PERF: accelerate polynomial evaluation (polyval) and division (polydiv) with dedicated C engines
#62opened 10-04 12:47 by numpy-bot· merged 10-04 12:47session 10-04 12:21
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PERF: accelerate window functions, sinc, and i0 with dedicated C engines
#61opened 10-04 12:14 by numpy-bot· merged 10-04 12:14session 10-04 11:51
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PERF: accelerate histogram2d, histogramdd, isclose, and trapezoid
#60opened 10-04 11:48 by numpy-bot· merged 10-04 11:49session 10-04 11:26
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PERF: accelerate kron, gradient, interp, and unwrap
#59opened 10-04 11:23 by numpy-bot· merged 10-04 11:23session 10-04 11:03
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PERF: accelerate outer, tensordot, bincount, digitize, and cov
#58opened 10-04 11:00 by numpy-bot· merged 10-04 11:00session 10-04 10:37
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PERF: accelerate norm, matrix_norm, trace, matrix_power, and corrcoef
#57opened 10-04 10:19 by numpy-bot· merged 10-04 10:33session 10-04 09:59
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PERF: accelerate pinv, qr, eigvals, eigvalsh, eig, eigh, lstsq, and multi_dot in linalg
#56opened 10-04 09:56 by numpy-bot· merged 10-04 09:57session 10-04 09:38
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PERF: accelerate solve, svdvals, cond, matrix_rank, trace, and multi_dot in linalg
#55opened 10-04 09:35 by numpy-bot· merged 10-04 09:36session 10-04 09:16
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PERF: accelerate det, slogdet, inv, cholesky, norms, and cross in linalg
#54opened 10-04 09:12 by numpy-bot· merged 10-04 09:13session 10-04 08:50
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PERF: accelerate matmul, dot products, and linalg routines
#53opened 10-04 08:46 by numpy-bot· merged 10-04 08:46session 10-04 08:27
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PERF: accelerate polyfit, vander matrices, companion scaling, and root routines
#52opened 10-04 08:24 by numpy-bot· merged 10-04 08:25session 10-04 08:10
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PERF: accelerate multidimensional polynomial evaluation, calculus, Horner, and roots routines
#51opened 10-04 07:28 by numpy-bot· merged 10-04 07:34session 10-04 07:07
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PERF: accelerate polynomial series algebra, evaluation, and polyutils routines
#50opened 10-04 06:56 by numpy-bot· merged 10-04 07:03session 10-04 06:38
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PERF: accelerate polymul, polydiv, polyval, roots, polyder, polyint, nanpercentile, and nanquantile
#49opened 10-04 06:30 by numpy-bot· merged 10-04 06:36session 10-04 06:10
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PERF: accelerate normalize_axis_tuple, asarray_chkfinite, average, median, percentile, and 3D diff
#48opened 10-04 06:06 by numpy-bot· merged 10-04 06:06session 10-04 05:48
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PERF: accelerate apply_along_axis, split/vsplit/hsplit/dsplit, column_stack, and atleast_nd
#47opened 10-04 05:38 by numpy-bot· merged 10-04 05:44session 10-04 05:14
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PERF: accelerate mgrid, ogrid, r_, c_, and ndenumerate
#46opened 10-04 05:02 by numpy-bot· merged 10-04 05:11session 10-04 04:48
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PERF: accelerate sliding_window_view and as_strided with dedicated C engines
#45opened 10-04 04:44 by numpy-bot· merged 10-04 04:44session 10-04 04:27
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PERF: accelerate nan-reductions with dedicated C engine _replace_nan
#44opened 10-04 04:24 by numpy-bot· merged 10-04 04:24session 10-04 04:02
1
PERF: accelerate string case operations with native C engines and vectorcall
#43opened 10-04 03:59 by numpy-bot· merged 10-04 03:59session 10-04 03:38
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PERF: accelerate isin with searchsorted and dedicated C matching engine
#42opened 10-04 03:35 by numpy-bot· merged 10-04 03:36session 10-04 03:15
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BUG: fix np.tile 0-d integer array / scalar reps returning 2-d array (gh-38)
#40opened 10-04 03:06 by numpy-bot· merged 10-04 03:13session 10-04 02:56
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PERF: accelerate eye, identity, vander, fill_diagonal, and progression utilities
#39opened 10-04 02:51 by numpy-bot· merged 10-04 02:52session 10-04 02:25
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PERF: accelerate tril, triu, tril_indices, triu_indices, tri, diag, and tile
#37opened 10-04 02:10 by numpy-bot· merged 10-04 02:22session 10-04 01:44
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PERF: accelerate array assignment, copy, copyto, astype, and can_cast
#36opened 10-04 01:34 by numpy-bot· merged 10-04 01:40session 10-04 01:12
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PERF: accelerate reshape, ravel, squeeze, and shape inspection routines
#35opened 10-04 01:01 by numpy-bot· merged 10-04 01:07session 10-04 00:38
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PERF: accelerate moveaxis, swapaxes, and transpose with dedicated C engine and fastcall
#34opened 10-04 00:30 by numpy-bot· merged 10-04 00:36session 10-04 00:11
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PERF: accelerate putmask and place with dedicated C engines and vectorcall
#33opened 10-04 00:01 by numpy-bot· merged 10-04 00:08session 10-03 23:42
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PERF: accelerate compress, extract, and choose with dedicated C engines and vectorcall
#32opened 10-03 23:15 by numpy-bot· merged 10-03 23:37session 10-03 22:52
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PERF: accelerate clip and ndarray.clip with direct C scalar engine and vectorcall
#31opened 10-03 22:49 by numpy-bot· merged 10-03 22:49session 10-03 22:24
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PERF: accelerate take and put with direct C engines, typed loops, and vectorcall
#30opened 10-03 22:21 by numpy-bot· merged 10-03 22:21session 10-03 22:01
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PERF: accelerate ufunc accumulations and cumsum/cumprod across contiguous arrays
#29opened 10-03 21:50 by numpy-bot· merged 10-03 21:55session 10-03 21:29
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PERF: accelerate multidimensional ufunc reductions and dispatch
#28opened 10-03 20:40 by numpy-bot· merged 10-03 20:41session 10-03 20:19
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PERF: accelerate integer indexing, row/col selection, and slice assignment with C engines
#27opened 10-03 20:16 by numpy-bot· merged 10-03 20:16session 10-03 19:54
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PERF: accelerate boolean indexing, boolean assignment, and 1D indexing with C engines and fast paths
#26opened 10-03 19:45 by numpy-bot· merged 10-03 19:50session 10-03 19:26
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PERF: accelerate zeros_like, empty_like, zeros, empty, ones, full with C engine and fast paths
#25opened 10-03 19:23 by numpy-bot· merged 10-03 19:24session 10-03 19:07
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PERF: accelerate sort, argsort, lexsort, and partition with direct chunk iteration and fast-path dispatch
#24opened 10-03 18:58 by numpy-bot· merged 10-03 19:03session 10-03 18:32
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PERF: accelerate nonzero, argwhere, and flatnonzero with C engines and fast paths
#23opened 10-03 18:23 by numpy-bot· merged 10-03 18:29session 10-03 17:58
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PERF: accelerate broadcast_to, broadcast_shapes, and broadcast_arrays with C engines
#22opened 10-03 17:55 by numpy-bot· merged 10-03 17:55session 10-03 17:29
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PERF: accelerate concatenate, where, vstack, and stack with contiguous memcpy and typed selection loops
#21opened 10-03 17:24 by numpy-bot· merged 10-03 17:24session 10-03 17:00
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PERF: accelerate repeat with typed pointer kernels and bypass _wrapfunc in fromnumeric
#20opened 10-03 16:56 by numpy-bot· merged 10-03 16:56session 10-03 16:33
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PERF: accelerate searchsorted, digitize, linspace, and logspace
#19opened 10-03 15:33 by numpy-bot· merged 10-03 15:33session 10-03 15:13
0
PERF: accelerate sliding_window_view, norm, matrix_rank, ix_, and ndindex
#18opened 10-03 15:03 by numpy-bot· merged 10-03 15:09session 10-03 14:36
0
PERF: accelerate tensordot, indices, diag_indices_from, and array stacking
#17opened 10-03 14:27 by numpy-bot· merged 10-03 14:33session 10-03 14:01
0
PERF: accelerate piecewise, polyval, flatnonzero, and ediff1d
#16opened 10-03 13:51 by numpy-bot· merged 10-03 13:57session 10-03 13:31
0
PERF: accelerate split, expand_dims, unstack, atleast_2d/3d, kron, and diagflat
#15opened 10-03 13:27 by numpy-bot· merged 10-03 13:28session 10-03 13:03
0
PERF: accelerate nanquantiles, nanmedian, gradient, take/put_along_axis, and unwrap
#14opened 10-03 12:54 by numpy-bot· merged 10-03 12:59session 10-03 12:35
0
PERF: accelerate meshgrid, rot90, flip, delete, insert, diff, and select
#13opened 10-03 12:32 by numpy-bot· merged 10-03 12:32session 10-03 12:14
0
PERF: accelerate np.cross, np.trim_zeros, np.cov, and np.corrcoef
#12opened 10-03 12:10 by numpy-bot· merged 10-03 12:10session 10-03 11:46
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PERF: accelerate nan functions with SIMD _has_nan check and zero-nan fast paths
#11opened 10-03 11:42 by numpy-bot· merged 10-03 11:43session 10-03 11:23
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PERF: accelerate np.interp with uniform grid fastpath and branchless bisection
#10opened 10-03 11:18 by numpy-bot· merged 10-03 11:19session 10-03 10:43
0
PERF: accelerate np.histogram for uniform bins with C kernel and GIL release
#9opened 10-03 10:39 by numpy-bot· merged 10-03 10:39session 10-03 10:23
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PERF: optimize bincount and monotonicity checks across integer and float dtypes
#8opened 10-03 10:14 by numpy-bot· merged 10-03 10:19session 10-03 09:54
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PERF: optimize numerical integration (trapezoid) and diagonal routines (eye, diag, fill_diagonal, diag_indices_from)
#7opened 10-03 09:50 by numpy-bot· merged 10-03 09:50session 10-03 09:22
0
PERF: accelerate allclose and isclose with C early-exit and SIMD
#6opened 10-03 09:19 by numpy-bot· merged 10-03 09:19session 10-03 09:02
0
PERF: optimize array manipulation routines (pad and roll)
#5opened 10-03 08:53 by numpy-bot· merged 10-03 08:59session 10-03 08:16
0
PERF: optimize array set operations (unique, intersect1d, isin, setdiff1d, setxor1d, union1d)
#4opened 10-03 08:01 by numpy-bot· merged 10-03 08:08session 10-03 07:25
0
PERF: accelerate array_equal and array_equiv with C early-exit and SIMD
#3opened 10-03 07:16 by numpy-bot· merged 10-03 07:22session 10-03 06:53
0
PERF: SIMD accelerate count_nonzero for float32 and float64
#2opened 10-03 06:45 by numpy-bot· merged 10-03 06:51session 10-03 05:54
0
CI: add Forgejo Actions test workflow
#1opened 10-03 05:46 by numpy-bot· merged 10-03 05:52session 10-03 05:28
0

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