| import zipfile | |
| zip_ref = zipfile.ZipFile("arc.zip", "r") # path to zipfile | |
| zip_ref.extractall("target") # target dir | |
| zip_ref.close() |
Mesa doesn't provide OpenCL 1.2 support for Navi
AMD provide closed-source AMDGPU-PRO OpenCL 2.0 (PAL for Vega and Navi and Legacy for older product)
Alternatively you can use open-sourced AMD Radeon Open Compute platforM with OpenCL 2.0 support (Hardware Support)
It doesn't breaks Mesa/LLVM dependencies or UEFI Secure Boot
| Cross-Origin Request Blocked: The Same Origin Policy disallows reading the remote resource at https://optmzly.fe.indazn.com/datafiles/EG81YwqcK6nE62HXHW6uVG.json. (Reason: CORS request did not succeed). | |
| Loading failed for the <script> with source “https://cdn.cookielaw.org/scripttemplates/otSDKStub.js”. home:1:1 | |
| TypeError: c(...)[0] is undefined | |
| trackHeaderLoadTime https://www.dazn.com/chapters/de/openbrowse/dazn-modules~build~cf14c748.js:1 | |
| value https://www.dazn.com/chapters/de/openbrowse/build.js:1 | |
| iu https://www.dazn.com/chapters/de/openbrowse/vendor.js:126 | |
| ds https://www.dazn.com/chapters/de/openbrowse/vendor.js:126 | |
| unstable_runWithPriority https://www.dazn.com/chapters/de/openbrowse/vendor.js:60 | |
| Vo https://www.dazn.com/chapters/de/openbrowse/vendor.js:126 | |
| ps https://www.dazn.com/chapters/de/openbrowse/vendor.js:126 |
| wei* AND maße => [0, 115, 125, 168, 286, 430, 457, 471, 1002, 1005, 1012, 1020, 1025, 1032, 1036, 1042, 1043, 1047, 1053, 1055, 1065, 1066, 1069, 1072, 1081, 1088, 1095, 1115, 1116, 1119, 1129, 1149, 1155, 1171, 1173, 1176, 1178, 1183, 1188, 1195, 1202, 1207, 1225, 1226, 1232, 1249, 1259, 1266, 1281, 1301, 1313, 1317, 1334, 1337, 1342, 1348, 1372, 1376, 1399, 1400, 1405, 1407, 1429, 1444, 1451, 1458, 1470, 1473, 1479, 1496, 1505, 1510, 1518, 1545, 1548, 1549, 1556, 1563, 1564, 1572, 1573, 1579, 1582, 1587, 1601, 1610, 1630, 1631, 1636, 1646, 1652, 1654, 1658, 1659, 1678, 1679, 1687, 1694, 1697, 1701, 1723, 1732, 1744, 1745, 1754, 1755, 1759, 1761, 1764, 1770, 1790, 1809, 1813, 1817, 1836, 1842, 1844, 1864, 1868, 1880, 1885, 1887, 1897, 1902, 1913, 1924, 1929, 1938, 1955, 1957, 1968, 1973, 1987, 2004, 2008, 2015, 2055, 2064, 2071, 2073, 2083, 2116, 2124, 2135, 2137, 2142, 2145, 2151, 2153, 2158, 2165, 2199, 2203, 2215, 2218, 2219, 2231, 2266, 2273, 2280, 2296, 2297, 2300, 2310, 2331, 2338, 2361, 2362, 2377, 2 |
| import tensorflow as tf | |
| from tensorflow.python.compiler.mlcompute import mlcompute | |
| mlcompute.set_mlc_device(device_name='gpu') | |
| mnist = tf.keras.datasets.mnist | |
| (x_train, y_train), (x_test, y_test) = mnist.load_data() |
| paris = [1, 2, 3, 4, 5, 7, 8, 9, 11, 12, 13, 14, 15] | |
| france = [2, 6, 10, 12, 14] | |
| def query(posting1, posting2): | |
| result = [] | |
| it1 = iter(posting1) | |
| it2 = iter(posting2) | |
| el1 = next(it1) |
| ncols = 3 | |
| nrows = 4 | |
| # create a figure of dimension nrows X ncols | |
| fig, ax = plt.subplots(nrows=nrows, ncols=ncols, figsize=(20, 15)) | |
| # keeps track of the indexes of iaq | |
| df_idx_counter = 0 | |
| # iterate through the grid and plot one iaq element in each grid box |
| let storeId = 386 | |
| let param = args.widgetParameter | |
| if (param != null && param.length > 0) { | |
| storeId = param | |
| } | |
| const storeCapacity = await fetchAmountOfPaper() | |
| const storeInfo = await fetchStoreInformation() | |
| const widget = new ListWidget() | |
| await createWidget() |
| def merge_sort(arr): | |
| if len(arr) > 1: | |
| middle = len(arr) // 2 | |
| left = arr[:middle] | |
| right = arr[middle:] | |
| merge_sort(left) | |
| merge_sort(right) |
| import torch | |
| import torch.nn as nn | |
| import torch.nn.functional as F | |
| import torch.optim as optim | |
| import torch.utils.data as data | |
| import skimage | |
| import skimage.io | |
| import skimage.transform |