karino2

from invoke import task

# pip install Pillow
from PIL import Image
import os

@task(help={"src": "元のサイズのpngファイル",
            "dest": "置く先のディレクトリ",
            "size": "解像度。192, 144, 96, 72, 48のどれか"})
def resize_and_move(c, src, dest, size):

karino2

#!/bin/sh
# used from docker image

jupyter-notebook --ip=`ip route | awk 'NR==2 {print $9}'`

karino2

VOCAB_SIZE=115
MAX_ONE_STROKE_LEN=50
MAX_STROKE_NUM=22
MAX_TOKEN_LEN=10+2

# must match to trained dim
EXTRACTED_FEATURE_DIM=256
FE_DROPOUT_RATE=0.5
FE_L2_REGULARIZATION_RATE=0.01

karino2

char_names = ["A","B","C","E","F","G","H","I","L","M","N", 
              "P","R", "S","T","V","X","Y",
              "a","b", "c","d", "e", "f","g","h", "i", 
              "j","k","l","m", "n","o","p","q","r","s","t", "u",
              "v","w","x","y", "z",
              "\\alpha","\\beta","\\gamma","\\phi","\\mu",
              "\\lambda","\\sigma", "\\pi", "\\theta"]
binop_names = ["+", "-", "\\times", "\\div", "\\pm"]
eqop_names = ["\\geq", ">", "\\leq", "<", "="]
nonzero_num_names = [str(i) for i in range(1, 10)]

karino2

DROPOUT_RATE=0.5
L2_REGULARIZATION_RATE=0.1

EXTRACTED_FETURE_DIM=256
FEATURE_EXTRACTER_KERNEL_SIZE=7

GRU_HIDDEN=256

# tpu_model_fn also modify for update moving avg.
def fe_conv1d(filternum, kernelsize, x):

karino2

DROPOUT_RATE=0.5
L2_REGULARIZATION_RATE=0.1

FEATURE_EXTRACTER_KERNEL_SIZE=7

FILTER_NUM=128
KERNEL_SIZE=5


# model_small

karino2

#include <stdio.h>
#include <string.h>
#include <stdlib.h>
#include <sys/mman.h>

#include "parser.h"
#include "test_util.h"

extern int eval(int r0, int r1, char *str);

karino2

<!DOCTYPE us-patent-application SYSTEM "us-patent-application-v44-2014-04-03.dtd" [ ]>
<us-patent-application lang="EN" dtd-version="v4.4 2014-04-03" file="US20170347517A1-20171207.XML" status="PRODUCTION" id="us-patent-application" country="US" date-produced="20171121" date-publ="20171207">
<us-bibliographic-data-application lang="EN" country="US">
<publication-reference>
<document-id>
<country>US</country>
<doc-number>20170347517</doc-number>
<kind>A1</kind>
<date>20171207</date>
</document-id>

karino2

<us-patent-grant lang="EN" dtd-version="v4.2 2006-08-23" file="US08160929-20120417.XML" status="PRODUCTION" id="us-patent-grant" country="US" date-produced="20120403" date-publ="20120417">
<us-bibliographic-data-grant>
<publication-reference>
<document-id>
<country>US</country>
<doc-number>08160929</doc-number>
<kind>B1</kind>
<date>20120417</date>
</document-id>
</publication-reference>

karino2

__global__ void linear(float* x,
			int numXRows, int numXCols) 
{
	__shared__ float W [TILE_WIDTH][TILE_WIDTH];
	__shared__ float b [TILE_WIDTH][TILE_WIDTH];
  
	// x*W+b
  
}