适应性池是一个很好的功能,但是它是如何工作的呢?它似乎是插入垫或缩小/扩展内核大小,似乎是一种模式,但相当武断的方式。我所能找到的put文档并不比“在这里放置期望的输出大小”更具有描述性。有没有人知道这是怎么回事,或者能指出解释的地方?
一些关于1x1x6张量(1,2,3,4,5,6)的测试代码,具有大小为8的自适应输出:
import torch
import torch.nn as nn
class TestNet(nn.Module):
def __init__(self):
super(TestNet, self).__init__()
sel
I want to increase the size of the input box so when I email it it's actually usable for users to enter info, this is the best I could come up with but it's not changing size. I think it's not even possible?
{
"type": "AdaptiveCard",
"version": "
我在创建一个使用AdaptiveShowCardAction的卡时遇到了困难。当我试图创建一个简单的卡片,它设法显示。
代码:
public override AdaptiveCard CherwellCard(UserProfile userProfile)
{
try
{
foreach (var service in CherwellCategories)
{
var serviceCard = new AdaptiveShowCardAction()
{
Ti
为什么在函数_ready中创建带有脚本的按钮时,不能调整这些按钮的大小。(及职位)
var pos
var siz
var yBut = 150
var but
func _ready():
siz = get_viewport().get_visible_rect().size
pos = get_viewport().get_visible_rect().position
but = Button.new()
$sc/vb.add_child(but, true)
but.rect_position = pos/2
but.rect_siz