michael-iuzzolino

#include <stdio.h>

void say_hello(int times)
{
    for (int i = 0; i < times; ++i)
    {
        printf("%d. Hello, Python. I am C!\n", i+1);
    }
}

michael-iuzzolino

import ctypes

# A. Create library
C_library = ctypes.CDLL("clib.so")

# B. Specify function signatures
hello_fxn = C_library.say_hello
hello_fxn.argtypes = [ctypes.c_int]

# C. Invoke function

michael-iuzzolino

clib.so: clib.o
    gcc -shared -o clib.so clib.o

michael-iuzzolino

michael-iuzzolino

class DataHandler:
    def __init__(self, string):
        self.string = string
        
        characters = np.sort(list(set(string)))
        self.num_characters = len(characters)
        
        self.char_to_idx = { ch : i for i, ch in enumerate(characters) }
        self.idx_to_char = { i : ch for ch, i in self.char_to_idx.items() }
        

michael-iuzzolino

# import torch.nn as nn 

class HelloRNN(nn.Module):
    def __init__(self, num_chars, num_hidden=10):
        super().__init__()
        self.num_chars = num_chars
        self.num_hidden = num_hidden
        
        # Network Parameters
        # Connection Matrices

michael-iuzzolino

N_EPOCHS = 5000
LR = 0.005
end_early = False
seq_i = ""

net.train() # Ensure net in training mode
for epoch_i in range(N_EPOCHS):
    # Zero out gradients
    optimizer.zero_grad()
    

michael-iuzzolino

michael-iuzzolino

class LSTMCell(nn.Module):
    def __init__(self, num_chars, num_hidden):
        super().__init__()
        
        self.num_chars = num_chars
        self.num_hidden = num_hidden
        
        # Network Parameters
        # Potential Input
        self.Wxh = nn.Parameter(torch.randn((num_chars, num_hidden)))

michael-iuzzolino

class GRUCell(nn.Module):
    def __init__(self, num_chars, num_hidden):
        super().__init__()
        
        self.num_chars = num_chars
        self.num_hidden = num_hidden
        
        # Network Parameters
        # Potential Input
        self.Wxh = nn.Parameter(torch.randn((num_chars, num_hidden)))