Skip to main content

How to fix 'ModuleNotFoundError: No module named transformer.modules' while profiling a Python script with cProfile?

Trying to profile a python script using cProfile. It has subfiles being called encoder.py and decoder.py in the directory "modules" in "transformer". When I profile it, error shows module error, trasformer is not a module. Though I am not understanding what is the exact issue here.

The header files are as below:

import cProfile
import pstats
import sys, os
from pathlib import Path
sys.path[0] = str(Path(sys.path[0]).parent)


import numpy as np
try:
    import cupy as cp
    is_cupy_available = True
    print('CuPy is available. Using CuPy for all computations.')
except:
    is_cupy_available = False
    print('CuPy is not available. Switching to NumPy.')
    
import pickle as pkl
from tqdm import tqdm
from transformer.modules import Encoder
from transformer.modules import Decoder
from transformer.optimizers import Adam, Nadam, Momentum, RMSProp, SGD, Noam
from transformer.losses import CrossEntropy
from transformer.prepare_data import DataPreparator
import matplotlib.pyplot as plt


when I run the command on terminal:

python -m cProfile -o result.dat transformer.py

this error shows up: ModuleNotFoundError: No module named 'transformer.modules'; 'transformer' is not a package


File "D:\Thesis\numpy-transformer-master\transformer\.\transformer.py", line 28, in <module>
    from transformer.modules import Encoder
ModuleNotFoundError: No module named 'transformer.modules'; 'transformer' is not a package

init.py is already a part of the directory module.

The overall structure of the file is attached as image.

How to resolve this issue The structure of th dirctory in the code is given below

The code structure of sub directories

**The code runs fine and produces desired results if I run without profile command

python transformer.py



source https://stackoverflow.com/questions/76381090/how-to-fix-modulenotfounderror-no-module-named-transformer-modules-while-prof

Comments

Popular posts from this blog

How to show number of registered users in Laravel based on usertype?

i'm trying to display data from the database in the admin dashboard i used this: <?php use Illuminate\Support\Facades\DB; $users = DB::table('users')->count(); echo $users; ?> and i have successfully get the correct data from the database but what if i want to display a specific data for example in this user table there is "usertype" that specify if the user is normal user or admin i want to user the same code above but to display a specific usertype i tried this: <?php use Illuminate\Support\Facades\DB; $users = DB::table('users')->count()->WHERE usertype =admin; echo $users; ?> but it didn't work, what am i doing wrong? source https://stackoverflow.com/questions/68199726/how-to-show-number-of-registered-users-in-laravel-based-on-usertype

Why is my reports service not connecting?

I am trying to pull some data from a Postgres database using Node.js and node-postures but I can't figure out why my service isn't connecting. my routes/index.js file: const express = require('express'); const router = express.Router(); const ordersCountController = require('../controllers/ordersCountController'); const ordersController = require('../controllers/ordersController'); const weeklyReportsController = require('../controllers/weeklyReportsController'); router.get('/orders_count', ordersCountController); router.get('/orders', ordersController); router.get('/weekly_reports', weeklyReportsController); module.exports = router; My controllers/weeklyReportsController.js file: const weeklyReportsService = require('../services/weeklyReportsService'); const weeklyReportsController = async (req, res) => { try { const data = await weeklyReportsService; res.json({data}) console...

ValueError: X has 10 features, but LinearRegression is expecting 1 features as input

So, I am trying to predict the model but its throwing error like it has 10 features but it expacts only 1. So I am confused can anyone help me with it? more importantly its not working for me when my friend runs it. It works perfectly fine dose anyone know the reason about it? cv = KFold(n_splits = 10) all_loss = [] for i in range(9): # 1st for loop over polynomial orders poly_order = i X_train = make_polynomial(x, poly_order) loss_at_order = [] # initiate a set to collect loss for CV for train_index, test_index in cv.split(X_train): print('TRAIN:', train_index, 'TEST:', test_index) X_train_cv, X_test_cv = X_train[train_index], X_test[test_index] t_train_cv, t_test_cv = t[train_index], t[test_index] reg.fit(X_train_cv, t_train_cv) loss_at_order.append(np.mean((t_test_cv - reg.predict(X_test_cv))**2)) # collect loss at fold all_loss.append(np.mean(loss_at_order)) # collect loss at order plt.plot(np.log(al...