spikebike

package main

import (
    "crypto/tls"
    "crypto/x509"
    "fmt"
    "io"
    "log"
)

vene

"""l-bfgs-b L1-Logistic Regression solver"""

# Author: Vlad Niculae <[email protected]>
# Suggested by Mathieu Blondel

from __future__ import division, print_function

import numpy as np
from scipy.optimize import fmin_l_bfgs_b

fasionchan

import code
import threading
import sys

from io import StringIO
from xmlrpc.client import ServerProxy
from xmlrpc.server import SimpleXMLRPCServer

class OutputHookContext:

wanchaol

addmm(bias, input, weight)

bias: replicated

output = input * weight

input shard(1), weight, shard(0) -> partial tensor
output -> partial -> replicated?

output + bias -> partial? only do on one rank