OpenEXR and ILMBASE updates to 2.5.2 rename the full shlib version
names from .0.0 to .0.1 => to be on the safe side, bump PORTREVISIONs.
Approved by: portmgr (blanket)
MFH: 2020Q3 (PORTREVISION bump after OpenEXR/ilmbase update)
Security: 714e6c35-c75b-11ea-aa29-d74973d1f9f3
Fast and accurate convolution-type smoothed quantile regression.
Implemented using Barzilai-Borwein gradient descent with a Huber
regression warm start. Construct confidence intervals for regression
coefficients using multiplier bootstrap.
WWW: https://cran.r-project.org/web/packages/conquer/
High-performing functions operating on rows and columns of matrices,
e.g. col / rowMedians(), col / rowRanks(), and col / rowSds().
Functions optimized per data type and for subsetted calculations
such that both memory usage and processing time is minimized. There
are also optimized vector-based methods, e.g. binMeans(), madDiff()
and weightedMedian().
WWW: https://cran.r-project.org/web/packages/matrixStats/
This version fixes an incompatibility with GNU bc:
The statement:
if (a > b) 1
was rejected, unless followed by "else 0".
Approved by: antoine (implicit)
Flax is a high-performance neural network library for JAX that is designed for
flexibility: Try new forms of training by forking an example and by modifying
the training loop, not by adding features to a framework.
WWW: https://github.com/google/flax
JAX is Autograd and XLA, brought together for high-performance machine learning
research.
With its updated version of Autograd, JAX can automatically differentiate native
Python and NumPy functions. It can differentiate through loops, branches,
recursion, and closures, and it can take derivatives of derivatives of
derivatives. It supports reverse-mode differentiation (a.k.a. backpropagation)
via grad as well as forward-mode differentiation, and the two can be composed
arbitrarily to any order.
What's new is that JAX uses XLA to compile and run your NumPy programs on GPUs
and TPUs. Compilation happens under the hood by default, with library calls
getting just-in-time compiled and executed. But JAX also lets you just-in-time
compile your own Python functions into XLA-optimized kernels using a
one-function API, jit. Compilation and automatic differentiation can be composed
arbitrarily, so you can express sophisticated algorithms and get maximal
performance without leaving Python. You can even program multiple GPUs or TPU
cores at once using pmap, and differentiate through the whole thing.
Dig a little deeper, and you'll see that JAX is really an extensible system for
composable function transformations. Both grad and jit are instances of such
transformations. Others are vmap for automatic vectorization and pmap for
single-program multiple-data (SPMD) parallel programming of multiple
accelerators, with more to come.
WWW: https://github.com/google/jax
Optimized einsum can significantly reduce the overall execution time of
einsum-like expressions (e.g., np.einsum, dask.array.einsum, pytorch.einsum,
tensorflow.einsum, ) by optimizing the expression's contraction order and
dispatching many operations to canonical BLAS, cuBLAS, or other specialized
routines. Optimized einsum is agnostic to the backend and can handle NumPy,
Dask, PyTorch, Tensorflow, CuPy, Sparse, Theano, JAX, and Autograd arrays as
well as potentially any library which conforms to a standard API.
WWW: https://github.com/dgasmith/opt_einsum
Release 0.90.0:
core:
* Color profile tweaks
* Small signature improvements
* BBoxOutputDev: Fix calculation when type3 fonts are involved
* Fix potential crash when reading Forms
* Fix infinite loop in broken file
glib:
* Fix adding annots in rotated pages
* Add ability to reset forms
* Several fixes to the documentation
qt5:
* Make it clear we require Qt 5.5
* demo: Fix crash on broken files
* Small documentation improvements
utils:
* pdftoppm: Add option to set display profile
* pdftops: Add a -rasterize option with values always, never, or whenneeded
build system:
* Require cmake 3.5
* More modern cmake way to link against curl
PR: 247736
Exp-run by: antoine
Use C++11 compiler:
CMake Error in app/CMakeLists.txt:
Target "clasp" requires the language dialect "CXX11" (with compiler
extensions), but CMake does not know the compile flags to use to enable it.
MFH: 2020Q3 (fix build blanket)
Chase the devel/libffi update
Bump portrevision of all dependent ports to chace shard library version bump
in libffi.
Update LIB_DEPENDS lines where needed to not require a specific version of
libffi.so.
PR: 247028 (for tracking)
Error: Rank mismatch between actual argument at (1) and actual argument at (2) (rank-1 and scalar)
cpzero.f:90:43:
76 | CALL CPEVL(N,N,A,TEMP,T,T,.FALSE.)
| 2
......
90 | CALL CPEVL(N,0,T(N1),CMPLX(X,0.0),PN,PN,.FALSE.)
| 1
Error: Rank mismatch between actual argument at (1) and actual argument at (2) (rank-1 and scalar)
cpzero.f:105:37:
76 | CALL CPEVL(N,N,A,TEMP,T,T,.FALSE.)
| 2
......
105 | CALL CPEVL(N,0,A,R(I),PN,TEMP,.TRUE.)
| 1
Error: Rank mismatch between actual argument at (1) and actual argument at (2) (rank-1 and scalar)
http://package18.nyi.freebsd.org/data/121amd64-default-PR244494/2020-06-10_18h04m44s/logs/errors/slatec-4.1_12.log
PR: 246700
dbocls.f:185:19:
62 | * 2,LMDW,MCON+MOUT, 0,RDUM,RDUM)
| 2
......
185 | * 1,J,IDUM, 2,BL(J),BU(J))
| 1
Error: Type mismatch between actual argument at (1) and actual argument at (2) (REAL(8)/REAL(4)).
dbocls.f:371:18:
62 | * 2,LMDW,MCON+MOUT, 0,RDUM,RDUM)
| 2
......
371 | * 1,J,IDUM,1,RW(J),RDUM)
| 1
Error: Type mismatch between actual argument at (1) and actual argument at (2) (REAL(8)/REAL(4)).
dbocls.f:423:19:
62 | * 2,LMDW,MCON+MOUT, 0,RDUM,RDUM)
| 2
......
423 | * 1,JP,IDUM,0,IDUM,IDUM)
| 1
Error: Type mismatch between actual argument at (1) and actual argument at (2) (INTEGER(4)/REAL(4)).
http://package18.nyi.freebsd.org/data/121amd64-default-PR244494/2020-06-10_18h04m44s/logs/errors/cmlib-3.0_8.log
PR: 246700
Yuri Victorovich
Matthias Andree
Adam Weinberger
Alex Dupre
Tobias Kortkamp
TAKATSU Tomonari
Greg Lewis
Stefan Eßer
Tobias C. Berner
Sunpoet Po-Chuan Hsieh
Gleb Popov
Niclas Zeising
Thierry Thomas
Pietro Cerutti
Piotr Kubaj
Stephen Montgomery-Smith