pekaalto

"""
Almost direct copy from https://github.com/openai/baselines/blob/master/baselines/common/vec_env/subproc_vec_env.py
"""

from multiprocessing import Process, Pipe
from pysc2.env import sc2_env, available_actions_printer


def worker(remote, env_fn_wrapper):
    """

pekaalto

"""
Pekka Aalto 2017

This snippet tries to explain by example what deepmind means
in https://arxiv.org/abs/1708.04782
about embedding on channel axis being equivalent to
one-hot-encoding followed by 1x1 conv.

They write:

pekaalto

"""
Investigate keras-lstm inputs, outputs and weights.
Needs tensorflow 2.0

Note: The explanation of weights matches the CPU-implementation of LSTM-layer.
In GPU-implementation the weights are organized slightly differently
"""

import numpy as np
import tensorflow as tf