import numpy as np import torch from torch._six import string_classes, int_classes, FileNotFoundError _use_shared_memory = False def _default_collate(batch): r"""Puts each data field into a tensor with outer dimension batch size""" error_msg = "batch must contain tensors, numbers, dict...
import itertools import logging import random from functools import partial from typing import Any, Sequence, Union import numpy as np import torch from torch.utils.data import DataLoader from typeguard import check_argument_types from espnet2.iterators.abs_iter_factory import AbsIterFactory from espnet...
numpy.random.randint(offset, width - offset - size.width()), numpy.random.randint(offset, height - offset - size.height()),"updown", ) dots = [] numPixels =0whilenumPixels <30: r = numpy.random.randint(1,255) rx, ry = numpy.random.randint(offset, width - offset), numpy.random...
colors.append(cmap(i/(nrColors-1)))# Use utility function to get cmap and norm at the same timecmap, norm =from_levels_and_colors(clevs, colors, extend=extend)return(cmap, norm) 开发者ID:meteoswiss-mdr,项目名称:precipattractor,代码行数:32,代码来源:data_tools_attractor.py 示例7: create...
importtensorflowastfimportnumpyasnpexport_path="./test/";input=np.random.random((1,30));withtf.Session(graph=tf.Graph())assess:loaded=tf.saved_model.loader.load(sess, ["serve"],export_path)graph=tf.get_default_graph()# print(graph.get_operations())x=sess.graph.get_tensor_by_name('rp...
#Randomkit random number generators, wrapped for Torch NOTE: THIS PACKAGE IS NOT ACTIVELY MAINTAINED Provides and wraps the Randomkit library, copied from Numpy. Please check-out itswebsitefor up-to-date documentation or read below. ##Example ...
etree.ElementTree as ET import numpy as np def iou(box, clusters): """ 计算一个ground truth边界盒和k个先验框(Anchor)的交并比(IOU)值。 参数box: 元组或者数据,代表ground truth的长宽。 参数clusters: 形如(k,2)的numpy数组,其中k是聚类Anchor框的个数 返回:ground truth和每个Anchor框的交并比。 "...
._multiarray_umath, numpy.core._multiarray_tests, numpy.linalg._umath_linalg, numpy.fft._pocketfft_internal, numpy.random._common, numpy.random.bit_generator, numpy.random._bounded_integers, numpy.random._mt19937, numpy.random.mtrand, numpy.random._philox, numpy.random._pcg64, numpy.random....
# AOT ID: ['0_forward'] from ctypes import c_void_p, c_long import torch import math import random import os import tempfile from math import inf, nan from torch._inductor.hooks import run_intermediate_hooks from torch._inductor.utils import maybe_profile from torch._inductor.codegen.memor...
# python3 DDP.py --projectName "PyTorch-4K-2X" --batchSize 32 --nEpochs 2 --lr 1e-3 --step 10 --threads 8 --optim AdamW import argparse, os, sys import random import numpy as np import time import torch import torch.nn as nn import torch.backends.cudnn as cudnn import torch...