danieldk

#include <stdlib.h>

#include <cblas.h>

int const M = 7;
int const K = 1026;
int const N = 1026;

int main() {
    float const *A = (float *) calloc(M * K, sizeof(float));

danieldk

diff --git a/thinc/backends/__init__.py b/thinc/backends/__init__.py
index ba4daaa8..1b39deb3 100644
--- a/thinc/backends/__init__.py
+++ b/thinc/backends/__init__.py
@@ -79,6 +79,10 @@ def _import_extra_cpu_backends():
         from thinc_apple_ops import AppleOps
     except ImportError:
         pass
+    try:
+        from thinc_mkl_ops import MKLOps

danieldk

--- training/pt_core_news_lg_rule/model-best/config.cfg	2021-11-22 10:28:51.610899763 +0100
+++ training-edit-tree-bench/pt_core_news_lg/model-best/config.cfg	2021-11-21 17:40:53.559460807 +0100
@@ -12,7 +12,7 @@
 
 [nlp]
 lang = "pt"
-pipeline = ["tok2vec","morphologizer","parser","senter","attribute_ruler","lemmatizer","ner"]
+pipeline = ["tok2vec","morphologizer","parser","senter","attribute_ruler","edit_tree_lemmatizer","ner"]
 disabled = ["parser","senter","attribute_ruler","ner"]
 before_creation = null

danieldk

from typing import Optional, Callable, Any, Tuple

from ..model import Model
from ..util import use_nvtx_range


def with_nvtx_range(
    layer: Model,
    name: Optional[str] = None,
    *,

danieldk

Rough procedure for updating cargo hashes. Warning: this still requires a lot
of manual work to cover all bases. Based on:

https://github.com/NixOS/nixpkgs/pull/112764/commits/2650d5d2b8c19844224f8b368887153e2f18fdae

# Invalidate all hashes

rg -l "cargoHash" | grep "\.nix" |  xargs -n1 sed -i -re 's/cargoHash = "..../cargoHash = "sha256-1234/g'
rg -l "cargoSha256" | grep "\.nix" |  xargs -n1 sed -i -re 's/cargoSha256 = "[^s].../cargoSha256 = "1234/g'
rg -l "cargoSha256" | grep "\.nix" |  xargs -n1 sed -i -re 's/cargoSha256 = "sha256-..../cargoSha256 = "sha256-1234/g'

danieldk

import torch
from torch import nn

class TensorModule(nn.Module):
    def __init__(self, tensors):
        super(TensorModule, self).__init__()

        for tensor_name, tensor in tensors.items():
            setattr(self, tensor_name, nn.Parameter(tensor))

danieldk

{ stdenv
, fetchFromGitLab
, autoreconfHook
, pkg-config
, intltool
, itstool
, mono
, yelp-tools
, wrapGAppsHook
, enchant1

danieldk

diff --git a/pkgs/development/libraries/utf8cpp/default.nix b/pkgs/development/libraries/utf8cpp/default.nix
index f42baa2576a..a2aac1241cd 100644
--- a/pkgs/development/libraries/utf8cpp/default.nix
+++ b/pkgs/development/libraries/utf8cpp/default.nix
@@ -8,17 +8,20 @@ stdenv.mkDerivation rec {
     owner = "nemtrif";
     repo = "utfcpp";
     rev = "v${version}";
-    sha256 = "1d5p9l27mxhsmm4zlxjsbxngsmr5yxrzi66x550bf5g92sj52ffc";
+    fetchSubmodules = true;

danieldk

import math
import random

FAC3 = 6.
FAC5 = 120.
FAC7 = 5040.

def poorMenSine(x):
    return x - (x ** 3 / FAC3) + (x ** 5 / FAC5) - (x ** 7 / FAC7)

danieldk

--- /nix/store/nbkx2qghlh05dscldwxbrbbjm0jl2xws-bert-base-german-cased-vocab.txt	1970-01-01 01:00:01.000000000 +0100
+++ bert-base-german-cased-vocab.txt	2020-04-16 11:38:36.000000000 +0200
@@ -121,7 +121,7 @@
 ver
 ##ls
 Z
-(
+[unused_punctuation4]
 ##ir
 Die