sumanmichael

Keybase proof

I hereby claim:

• I am sumanmichael on github.
• I am sumanmichael (https://keybase.io/sumanmichael) on keybase.
• I have a public key ASD1wzElG_voZQBacUCrvmz0gEUa9UKDfZdBaM3ISl-HxAo

To claim this, I am signing this object:

sumanmichael

import tensorflow as tf
import torch
from torch import nn

import numpy as np

from functools import reduce
from operator import __add__

class Conv2dSamePadding(nn.Conv2d):

sumanmichael

class BatchNorm2d(nn.Module):
    # `num_features`: the number of output channels for a convolutional layer.
    def __init__(self, num_features):
        super().__init__()
        shape = (1, num_features, 1, 1)

        self.weight = nn.Parameter(torch.ones(shape))
        self.bias = nn.Parameter(torch.zeros(shape))

        self.moving_mean = torch.zeros(shape)

sumanmichael

import torch
from torch import nn

import numpy as np

# Get pytorch LSTM weights (w_ih, w_hh, b_ih, b_hh) from tensorflow LSTM weights (kernel, bias)
def get_pytorch_lstm_weights_from_tensorflow(kernel, bias, INPUT_SIZE, HIDDEN_SIZE):
    def reorder_lstm_gates(w):
        # The split order of gates are different in pytorch and tensorflow
        # i = input_gate, j = new_input, f = forget_gate, o = output_gate

sumanmichael

# Tested with oracle_fdw 2.5.0, PostgreSQL 15.1 (Ubuntu 15.1-1.pgdg22.04+1), Oracle client 21.8.0.0.0

# user: root
apt update
apt install -y wget unzip

# change the postgres version here (15)
# also make sure you've configured postgres repository and installed this way: https://www.postgresql.org/download/linux/ubuntu/
apt install -y build-essential libaio1 postgresql-server-dev-15

sumanmichael

dnf -y update 
dnf -y install oracle-database-preinstall-19c.aarch64

mkdir -p /u01/app/oracle
chown -r oracle:oinstall /u01/app

systemctl stop firewalld

# Optional:
passwd oracle

sumanmichael

import os
os.environ["OPENAI_API_KEY"] = "Set-Your-Key"

# For retriving the data from the website
import bs4
from bs4 import BeautifulSoup as Soup 
from langchain.document_loaders.recursive_url_loader import RecursiveUrlLoader 
# For accessing the database
from langchain.vectorstores.pgvector import PGVector 
# For Embedding and accessing LLM Model