Shubham Bhardwaj shubham0704

## blender_cr_headless.md

      
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                Setup a blender rendernode on a headless server with crowdrender addon
              
          
    GUIDE: How To create a headless blender renderserver with CrowdRender addon

Requirements


any headless Linux server
Blender v2.79 or v2.80 - v2.93 (from package manager or blender.org)
latest version of CrowdRender addon
optional: GPU drivers for GPU-rendering

install and activate addon


## pretrained_word2vec_lstm_gen.py
#!/usr/bin/env python
# -*- coding: utf-8 -*-

from __future__ import print_function

__author__ = 'maxim'

import numpy as np
import gensim
import string

## Tensorflow_py_func_with_grad.py
import tensorflow as tf
from tensorflow.python.framework import ops
import numpy as np

# Define custom py_func which takes also a grad op as argument:
def py_func(func, inp, Tout, stateful=True, name=None, grad=None):

    # Need to generate a unique name to avoid duplicates:
    rnd_name = 'PyFuncGrad' + str(np.random.randint(0, 1E+8))
	#!/usr/bin/env python
	# -- coding: utf-8 --

	from __future__ import print_function

	__author__ = 'maxim'

	import numpy as np
	import gensim
	import string
	import tensorflow as tf
	from tensorflow.python.framework import ops
	import numpy as np

	# Define custom py_func which takes also a grad op as argument:
	def py_func(func, inp, Tout, stateful=True, name=None, grad=None):

	# Need to generate a unique name to avoid duplicates:
	rnd_name = 'PyFuncGrad' + str(np.random.randint(0, 1E+8))