back2yes

[ 61%] Building CXX object src/aten/CMakeFiles/tc_aten.dir/aten_compiler.cc.o
[ 62%] Building CXX object test/CMakeFiles/test_mapper.dir/test_mapper.cc.o
[ 63%] Built target mapping_options
[ 64%] Built target test_isl_functionality
[ 65%] Built target test_inference
In file included from /home/x/TensorComprehensions/src/../include/tc/core/utils/dlpack.h:86:0,
                 from /home/x/TensorComprehensions/src/../include/tc/core/halide2pencil.h:25,
                 from /home/x/TensorComprehensions/src/../include/tc/core/tc_executor.h:18,
                 from /home/x/TensorComprehensions/src/../include/tc/core/execution_engine.h:26,
                 from /home/x/TensorComprehensions/src/../include/tc/aten/aten_compiler.h:25,

back2yes

size of input_small: torch.Size([10, 1, 20, 20])
Variable containing:
(0 ,0 ,.,.) = 
   0   0   0  ...    0   0   0
   0   0   0  ...    0   0   0
   0   0   0  ...    0   0   0
     ...       ⋱       ...    
   0   0   0  ...    0   0   0
   0   0   0  ...    0   0   0
   0   0   0  ...    0   0   0

back2yes

size of input: torch.Size([1, 4, 8, 8])
input:  
(0 ,0 ,.,.) = 
  0.8782 -0.8192 -0.9739 -0.3594 -0.2563  0.1029 -1.8487 -0.3550
  0.3321  0.0943 -0.3745 -0.6876 -0.0085  2.5286  2.0220 -0.5226
 -1.3020  0.2146  0.5424  0.1033  2.4845  0.3598  1.5213 -0.1765
 -0.6228  1.2918  0.3838 -1.2308  1.9327  0.1885 -0.3766 -0.0046
 -0.3527 -0.7072  0.7443 -1.0632 -0.0488  0.7710  1.0156 -2.0560
  0.3643 -0.0037 -0.9849 -0.3245 -0.0614 -0.4680  0.4322 -2.1684
 -0.9470 -0.7947  1.5997 -0.5201 -0.4490 -0.5583  0.0956 -0.4794

back2yes

# coding: utf-8

# In[1]:


import math
import torch
from torch.nn.parameter import Parameter
import torch.nn.functional as F

back2yes

/home/x/TensorComprehensions
Build Type: Release
Building ALL
gflags found
glog found
PyTorch is installed, libATen.so will be used from there to avoid two copies
isl found
Successfully installed DLPACK
no files found
# Archive together all the halide and llvm object files

back2yes

/*
 * drivertest.cpp
 * Vector addition (host code)
 *
 * Andrei de A. Formiga, 2012-06-04
 */

#include <stdio.h>
#include <stdlib.h>

back2yes

# This xorg configuration file will start a dummy X11 server.
# move it to /etc/X11/xorg.conf
# don't forget apt install xserver-xorg-video-dummy;
# based on https://xpra.org/Xdummy.html

Section "ServerFlags"
  Option "DontVTSwitch" "true"
  Option "AllowMouseOpenFail" "true"
  Option "PciForceNone" "true"
  Option "AutoEnableDevices" "false"

back2yes

import numpy as np
from numpy.linalg import solve
import logging
logging.basicConfig(level = logging.DEBUG)
from scipy.stats import moment,norm

def fleishman(b, c, d):
    """calculate the variance, skew and kurtois of a Fleishman distribution
    F = -c + bZ + cZ^2 + dZ^3, where Z ~ N(0,1)
    """

back2yes

import numpy as np
from numpy.linalg import solve
import logging
logging.basicConfig(level = logging.DEBUG)
from scipy.stats import moment,norm

def fleishman(b, c, d):
    """calculate the variance, skew and kurtois of a Fleishman distribution
    F = -c + bZ + cZ^2 + dZ^3, where Z ~ N(0,1)
    """

back2yes

def seed_everything(seed: int):
    import random, os
    import numpy as np
    import torch
    
    random.seed(seed)
    os.environ['PYTHONHASHSEED'] = str(seed)
    np.random.seed(seed)
    torch.manual_seed(seed)
    torch.cuda.manual_seed(seed)