wconstab

=================================== FAILURES ===================================
__________ TestBenchNetwork.test_eval[maskrcnn_benchmark-cuda-eager] ___________

self = <test_bench.TestBenchNetwork object at 0x7fd908efa6d0>
hub_model = <torchbenchmark.models.maskrcnn_benchmark.Model object at 0x7fd8f231d3d0>
benchmark = <pytest_benchmark.fixture.BenchmarkFixture object at 0x7fd8e9d433d0>

    def test_eval(self, hub_model, benchmark):
        try:
>           benchmark(hub_model.eval)

wconstab

import torch
import torch.nn as nn
from concurrent.futures import ThreadPoolExecutor
import time
import argparse
from tabulate import tabulate

class Model(nn.Module):
    def __init__(self, in_f, out_f, hidden=1000, layers=10):
        super().__init__()

wconstab

from multiprocessing import Process
import rpdb


def f():
    print("Hello")
    rpdb.set_trace()
    print("next")

    

wconstab

import cv2
import numpy as np
import os
import argparse
import cPickle

def decode_image(filename, dim=32):
    """
    Helper function to read an image file and return it as a flattened (CHW) array
    """

wconstab

#!/usr/bin/env python
# ----------------------------------------------------------------------------
# Copyright 2015 Nervana Systems Inc.
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#      http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software