jeongukjae

list_var = [1, 2, 3]

# Same as list_var2 = list(map(lambda x: x+1, list_var))
list_var2 = [elem + 1 for elem in list_var]

# same as list_var3 = list(filter(lambda x: x!=1, list_var))
list_var3 = [elem for elem in list_var if elem != 1]

jeongukjae

cmake .. \
  -DOpenMP_CXX_FLAGS="-Xpreprocessor -fopenmp -I/usr/local/opt/libomp/include" \
  -DOpenMP_CXX_LIB_NAMES="omp" \
  -DOpenMP_omp_LIBRARY=/usr/local/opt/libomp/lib/libomp.dylib

jeongukjae

import tensorflow as tf


tf.random.set_seed(20)


class Layer(tf.keras.layers.Layer):
    def __init__(self):
        super().__init__()
        self.dense = tf.keras.layers.Dense(20)

jeongukjae

import tensorflow as tf


class TransformerEncoder(tf.keras.layers.Layer):
    def __init__(self):
        super().__init__()

    def call(self, hidden_state):
        return hidden_state

jeongukjae

import torch, copy, apex

print("initialize model")
model_1 = torch.nn.Linear(1000, 2000).cuda()
model_2 = torch.nn.Linear(1000, 2000).cuda()
model_3 = torch.nn.Linear(1000, 2000).cuda()

model_1.weight = torch.nn.Parameter(model_3.weight.clone())
model_2.weight = torch.nn.Parameter(model_3.weight.clone())

jeongukjae

curl "http://localhost:8501/v1/models/test-model:predict" -XPOST -d '{"instances": ["test"]}' | jq

jeongukjae

#!/bin/bash

# install code deploy agent
yum -y update
yum install -y ruby
cd /home/ec2-user
curl -O https://aws-codedeploy-ap-northeast-2.s3.amazonaws.com/latest/install
chmod +x ./install
./install auto

jeongukjae

module piezo(
  rst, clk, btn, piezo, sseg
);
  input rst, clk;
  input [7:0] btn;

  output piezo;
  output [7:0] sseg;

  wire piezo;

jeongukjae

module counter(
  rst, cnt, load,
  cdown, cup, activeLoad,
  sseg
);
  input rst;
  input cdown, cup, activeLoad;
  input [3:0] load;

  output [3:0] cnt;

jeongukjae

module moore(rst, in, out, state);
	input [1:0] in;
	input rst;
	
	output out;
	output [1:0] state;
	
	reg out;
	reg [1:0] state;