qdwang

Rtings

You can use filters 1-5 or 1-10. Apply preamp of -5.6 dB or -5.6 dB, respectively.

#	Type	Fc (Hz)	Q	Gain (dB)	BW
1	LowShelf	105	0.7	7.7	1.917
2	Peaking	56	0.35	-3.9	3.331
3	Peaking	1335	1.43	2.3	0.989
4	Peaking	3931	2.47	7.3	0.580
5	Peaking	6380	0.92	-6	1.500

qdwang

#![allow(non_camel_case_types)]

use core::ffi::c_void;

const WIDTH: usize = 4;
const HEIGHT: usize = 4;
const NUM_CHANNELS: usize = 3; // 3 is ok, but 4 will cause the JXL_ENC_ERR_API_USAGE issue

fn main() {
    let mut img_data = [255u8; WIDTH * HEIGHT * NUM_CHANNELS];

qdwang

error: linking with `link.exe` failed: exit code: 1169
  |
  = note: "C:\\Program Files\\Microsoft Visual Studio\\2022\\Community\\VC\\Tools\\MSVC\\14.31.31103\\bin\\HostX64\\x64\\link.exe" "/NOLOGO" "C:\\Users\\qdwang\\AppData\\Local\\Temp\\rustcpAAM21\\symbols.o" "C:\\Users\\qdwang\\Desktop\\Codes\\rust-pytorch-test\\target\\debug\\deps\\rust_pytorch_test.11ab2gh1slc0cpa9.rcgu.o" "C:\\Users\\qdwang\\Desktop\\Codes\\rust-pytorch-test\\target\\debug\\deps\\rust_pytorch_test.1403db1fyofum8sz.rcgu.o" "C:\\Users\\qdwang\\Desktop\\Codes\\rust-pytorch-test\\target\\debug\\deps\\rust_pytorch_test.15pbjxcluvvrebgi.rcgu.o" "C:\\Users\\qdwang\\Desktop\\Codes\\rust-pytorch-test\\target\\debug\\deps\\rust_pytorch_test.16oisqgfc92coauq.rcgu.o" "C:\\Users\\qdwang\\Desktop\\Codes\\rust-pytorch-test\\target\\debug\\deps\\rust_pytorch_test.1fvzy55in8g7syor.rcgu.o" "C:\\Users\\qdwang\\Desktop\\Codes\\rust-pytorch-test\\target\\debug\\deps\\rust_pytorch_test.1hm228yuu1rsz3ss.rcgu.o" "C:\\Users\\qdwang\\Desktop\\Codes\\rust-pyt

qdwang

import torch
from torch import nn, Tensor
from torch.nn.functional import *

class MyModel(torch.nn.Module):
    def __init__(self) -> None:
        super(MyModel, self).__init__()
        self.encoder_input_layer = nn.Linear(3, 512)
        self.decoder_input_layer = nn.Linear(1, 512)
        self.output_layer = nn.Linear(512, 1)

qdwang

import torch
import random
from torch.nn.functional import *
device = "cuda"

class MyModel(torch.nn.Module):
    def __init__(self, d_model, **args) -> None:
        super(MyModel, self).__init__()
        self.transformer = torch.nn.Transformer(d_model=d_model, **args)

qdwang

首次使用colab指南

1. 登陆google
2. 打开https://colab.research.google.com/drive/1ZN5YjxeYdz10DTbpfjqE8GhnZiMiP3C_?usp=sharing
3. 点击开始按钮

6. 然后就开始安装。
7. 等到跑完，会出现个xxx.remote.moe链接，点它就能打开程序了。

qdwang

use std::iter::Map;

#[inline]
fn triple_iter(input: impl Iterator<Item = u16>) -> impl Iterator<Item = u16> {
    input.map(|x| x * 3)
}
#[inline]
fn double_iter(input: impl Iterator<Item = u16>) -> impl Iterator<Item = u16> {
    input.map(|x| x * 2)
}

qdwang

Dump of file test_rust1.exe

File Type: EXECUTABLE IMAGE

  0000000140001000: 55                 push        rbp
  0000000140001001: 48 89 E5           mov         rbp,rsp
  0000000140001004: 48 89 4D 10        mov         qword ptr [rbp+10h],rcx
  0000000140001008: 48 89 55 18        mov         qword ptr [rbp+18h],rdx
  000000014000100C: 4C 89 45 20        mov         qword ptr [rbp+20h],r8

qdwang

const rcedit = require('rcedit')
rcedit("GUI/Build/win/abc.exe", {
  "icon": "GUI/Asset/Texture/icon.ico",
  "version-string": {
    CompanyName: "QRP1",
    ProductName: "QRP2",
    FileDescription: "QRP3",
    LegalCopyright: "QRP4",
    LegalTrademarks: "QRP5"
  },

qdwang

all: library

CXX=clang++

CFLAGS=-target x86_64-w64-windows-gnu -I.
CFLAGS+=-Ofast -funroll-loops


# ZLIB support (FP dng)
CFLAGS+=-DUSE_ZLIB