trcook

TORCH_CUDA_ARCH_LIST=8.6
HOST_API_PORT=3389
HOST_PORT=8888
CONTAINER_PORT=7860
CONTAINER_API_PORT=5000
BUILD_EXTENSIONS=""
TRANSFORMERS_CACHE=/home/app/text-generation-webui/cache/
HF_HOME=/home/app/text-generation-webui/cache/
COMPOSE_PROJECT_NAME=trc #name for container will be trc_{service}

trcook

# problem: sometimes we want a network that will start with a layer equal to the number of input neurons with fewer and fewer neurons in each subsequent neuron

class DenseLayer(k.layers.Layer):
  def __init__(self):
    super().__init__()

  def build(self,input_shape):
    self.layer_list=[]
    size=input_shape[-1]
    print(size)

trcook

import logging
logging.basicConfig(format='|%(levelname)s| (%(name)s) %(lineno)d:> %(message)s',datefmt='%m/%d/%Y %H:%M:%S')
logger=logging.getLogger(name=__file__)
ld=logger.debug
li=logger.info
lw=logger.warning
logger.setLevel(logging.DEBUG)

trcook

import tensorflow as tf
class GWData(object):

    """

    # usage: make a dataset by passing in a tfrecord. Format will need to line up with output produced in tf_record_writer.py
    # For a more easily workable example:  https://gist.github.com/trcook/9fc8698cf7dc848a953f8e7a7e5f1aad

    :Example:

trcook

\usepackage[]{gitinfo2}
\begin{document}

\begin{tikzpicture}[remember picture,overlay]
        \node at ([xshift=3cm,yshift=2cm]current page.south west) {\tiny \color[gray]{.8} Last Revised: \gitAuthorDate};    %% yshift and xshift for example only
\end{tikzpicture}

\end{document}

trcook

import keras as K
from keras.models import Sequential
from sklearn.preprocessing import MinMaxScaler
import pandas as pd
import numpy as np
import fredapi

fred_key="ADD FRED KEY FILE HERE"
fred=fredapi.fred.Fred(api_key_file=fred_key)

trcook

def input_fn(total_repeats=int(1e8),batch_size=100):
    x=tf.constant([
        [[0,1]],
        [[0,0]],
        [[1,1]],
        [[1,0]]
    ],dtype=tf.float32)


    y=tf.constant([

trcook

from keras import backend as K
import keras as k
from keras.layers import *
import tensorflow as tf

tf.reset_default_graph()
g=tf.get_default_graph()
sess=tf.Session()
K.set_session(sess)

trcook

# enter into jupyter cell and execute
from IPython.core.display import display, HTML
display(HTML("<style>.container { width:100% !important; }</style>"))

trcook

chflags nohidden ~/Library/