TakaoNarikawa

import numpy as np
import matplotlib.pyplot as plt

def x(n):
    return (1 - np.cos(n * np.pi)) / ((np.pi * n)** 2) if n != 0 else 0.5

def y(n):
    return x(n // 2) if n % 2 == 0 else 0

def Xd(w, N=1000):

TakaoNarikawa

import Foundation
import CoreML
import Accelerate

@objc(Mish) class Mish: NSObject, MLCustomLayer {
    let mishPipeline: MTLComputePipelineState

    required init(parameters: [String : Any]) throws {

      // Create the Metal compute kernels.

TakaoNarikawa

#include <metal_stdlib>
using namespace metal;

kernel void mish(
  texture2d_array<half, access::read> inTexture [[texture(0)]],
  texture2d_array<half, access::write> outTexture [[texture(1)]],
  ushort3 gid [[thread_position_in_grid]])
{
  if (gid.x >= outTexture.get_width() || gid.y >= outTexture.get_height()) {
    return;

TakaoNarikawa

#! /usr/bin/env python
"""
Reads Darknet config and weights and creates Keras model with TF backend.

"""

import argparse
import configparser
import io
import os