raytroop

import uvm_pkg :: *;

class my_seq_item extends uvm_sequence_item;
  rand logic [7:0] addr;
  rand logic [7:0] data;

  constraint addr_range_cn {
    addr inside {[10:20]};
  }
  constraint data_range_cn {

raytroop

import sys,os
import curses

def draw_menu(stdscr):
    k = 0
    cursor_x = 0
    cursor_y = 0

    # Clear and refresh the screen for a blank canvas
    stdscr.clear()

raytroop

In this article we compared different behavior of static, inline and static inline free functions in compiled binary. All the following test was done under g++ 7.1.1 on Linux amd64, ELF64.

Test sources

header.hpp

#pragma once

inline int only_inline() { return 42; }
static int only_static() { return 42; }

raytroop

import tensorflow as tf

#aplly exponential decay on learning rate
global_step = tf.Variable(0, trainable=False)
stater_learning_rate = lr #for start
learning_rate = tf.train.exponential_decay(starter_learning_rate, global_step, 
                                           decay_steps, decay_rate, staircase=True)

optimizer = tf.train.AdamOptimizer(learning_rate)