albusdemens

v -0.007156812120229006 -0.11470703780651093 1.7354000806808472
v -0.007457282394170761 -0.11642266064882278 1.7303096055984497
v -0.007652342319488525 -0.11789024621248245 1.7251148223876953
v -0.007759611122310162 -0.11904443800449371 1.7198350429534912
v -0.007746140006929636 -0.11980510503053665 1.714480996131897
v -0.007632554043084383 -0.12038169056177139 1.7091026306152344
v -0.007434340193867683 -0.12084553390741348 1.7037134170532227
v -0.007153967395424843 -0.12121649086475372 1.6983213424682617
v -0.006790521088987589 -0.12151511758565903 1.692929744720459
v -0.006344959139823914 -0.12175227701663971 1.6875429153442383

albusdemens

[package]
name = "cat_volleyball"
version = "0.1.0"
authors = []
edition = "2018"

[dependencies]
amethyst = "0.12.0"

[features]

albusdemens

    self.__class__.__name__, "\n\t".join(error_msgs)))
RuntimeError: Error(s) in loading state_dict for StyleGAN2:
	Unexpected key(s) in state_dict: "G.blocks.6.to_style1.weight", "G.blocks.6.to_style1.bias", "G.blocks.6.to_noise1.weight", "G.blocks.6.to_noise1.bias", "G.blocks.6.conv1.weight", "G.blocks.6.to_style2.weight", "G.blocks.6.to_style2.bias", "G.blocks.6.to_noise2.weight", "G.blocks.6.to_noise2.bias", "G.blocks.6.conv2.weight", "G.blocks.6.to_rgb.to_style.weight", "G.blocks.6.to_rgb.to_style.bias", "G.blocks.6.to_rgb.conv.weight", "G.blocks.7.to_style1.weight", "G.blocks.7.to_style1.bias", "G.blocks.7.to_noise1.weight", "G.blocks.7.to_noise1.bias", "G.blocks.7.conv1.weight", "G.blocks.7.to_style2.weight", "G.blocks.7.to_style2.bias", "G.blocks.7.to_noise2.weight", "G.blocks.7.to_noise2.bias", "G.blocks.7.conv2.weight", "G.blocks.7.to_rgb.to_style.weight", "G.blocks.7.to_rgb.to_style.bias", "G.blocks.7.to_rgb.conv.weight", "D.blocks.7.conv_res.weight", "D.blocks.7.conv_res.bias", "D.blocks.7.net.0.w

albusdemens

usr/include/c++/6/tuple: In instantiation of ‘static constexpr bool std::_TC<<anonymous>, _Elements>::_MoveConstructibleTuple() [with _UElements = {std::tuple<at::Tensor, at::Tensor, at::Tensor>}; bool <anonymous> = true; _Elements = {at::Tensor, at::Tensor, at::Tensor}]’:
/usr/include/c++/6/tuple:626:248:   required by substitution of ‘template<class ... _UElements, typename std::enable_if<(((std::_TC<(sizeof... (_UElements) == 1), at::Tensor, at::Tensor, at::Tensor>::_NotSameTuple<_UElements ...>() && std::_TC<(1ul == sizeof... (_UElements)), at::Tensor, at::Tensor, at::Tensor>::_MoveConstructibleTuple<_UElements ...>()) && std::_TC<(1ul == sizeof... (_UElements)), at::Tensor, at::Tensor, at::Tensor>::_ImplicitlyMoveConvertibleTuple<_UElements ...>()) && (3ul >= 1)), bool>::type <anonymous> > constexpr std::tuple< <template-parameter-1-1> >::tuple(_UElements&& ...) [with _UElements = {std::tuple<at::Tensor, at::Tensor, at::Tensor>}; typename std::enable_if<(((std::_TC<(sizeof... (_UElements) == 1), at::Tens

albusdemens

import argparse
import random
import math

from tqdm import tqdm
import numpy as np
from PIL import Image

import torch
from torch import nn, optim

albusdemens

from tkinter import *
from turtle import *
import turtle

SYSTEM_RULES = {}  # generator system rules for l-system

def derivation(axiom, steps):
    derived = [axiom]  # seed
    for _ in range(steps):
        next_seq = derived[-1]

albusdemens

albusdemens

name: StyleGAN
channels:
  - conda-forge
  - anaconda
  - defaults
dependencies:
  - _libgcc_mutex=0.1=main
  - asn1crypto=1.2.0=py36_0
  - attrs=19.3.0=py_0
  - backcall=0.1.0=py36_0

albusdemens

albusdemens

Traceback (most recent call last):
  File "/home/acereser/anaconda3/envs/test/lib/python3.6/site-packages/tensorflow/python/framework/importer.py", line 427, in import_graph_def
    graph._c_graph, serialized, options)  # pylint: disable=protected-access
tensorflow.python.framework.errors_impl.InvalidArgumentError: Input 0 of node Gs/Assign was passed float from G_synthesis_1/lod:0 incompatible with expected float_ref.

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
  File "/home/acereser/anaconda3/envs/test/lib/python3.6/runpy.py", line 193, in _run_module_as_main
    "__main__", mod_spec)