您最多选择25个主题
主题必须以中文或者字母或数字开头，可以包含连字符 (-)，并且长度不得超过35个字符
103 行
4.1 KiB
103 行
4.1 KiB
import unittest.mock as mock
|
|
import pytest
|
|
|
|
import numpy as np
|
|
import tensorflow as tf
|
|
|
|
from unitytrainers.bc.models import BehavioralCloningModel
|
|
from unityagents import UnityEnvironment
|
|
|
|
|
|
def test_cc_bc_model():
|
|
c_action_c_state_start = '''{
|
|
"AcademyName": "RealFakeAcademy",
|
|
"resetParameters": {},
|
|
"brainNames": ["RealFakeBrain"],
|
|
"externalBrainNames": ["RealFakeBrain"],
|
|
"logPath":"RealFakePath",
|
|
"apiNumber":"API-3",
|
|
"brainParameters": [{
|
|
"vectorObservationSize": 3,
|
|
"numStackedVectorObservations": 2,
|
|
"vectorActionSize": 2,
|
|
"memorySize": 0,
|
|
"cameraResolutions": [],
|
|
"vectorActionDescriptions": ["",""],
|
|
"vectorActionSpaceType": 1,
|
|
"vectorObservationSpaceType": 1
|
|
}]
|
|
}'''.encode()
|
|
|
|
tf.reset_default_graph()
|
|
with mock.patch('subprocess.Popen'):
|
|
with mock.patch('socket.socket') as mock_socket:
|
|
with mock.patch('glob.glob') as mock_glob:
|
|
# End of mock
|
|
with tf.Session() as sess:
|
|
with tf.variable_scope("FakeGraphScope"):
|
|
mock_glob.return_value = ['FakeLaunchPath']
|
|
mock_socket.return_value.accept.return_value = (mock_socket, 0)
|
|
mock_socket.recv.return_value.decode.return_value = c_action_c_state_start
|
|
env = UnityEnvironment(' ')
|
|
|
|
model = BehavioralCloningModel(env.brains["RealFakeBrain"])
|
|
init = tf.global_variables_initializer()
|
|
sess.run(init)
|
|
|
|
run_list = [model.sample_action, model.policy]
|
|
feed_dict = {model.batch_size: 2,
|
|
model.sequence_length: 1,
|
|
model.vector_in: np.array([[1, 2, 3, 1, 2, 3],
|
|
[3, 4, 5, 3, 4, 5]])}
|
|
sess.run(run_list, feed_dict=feed_dict)
|
|
env.close()
|
|
|
|
|
|
def test_dc_bc_model():
|
|
d_action_c_state_start = '''{
|
|
"AcademyName": "RealFakeAcademy",
|
|
"resetParameters": {},
|
|
"brainNames": ["RealFakeBrain"],
|
|
"externalBrainNames": ["RealFakeBrain"],
|
|
"logPath":"RealFakePath",
|
|
"apiNumber":"API-3",
|
|
"brainParameters": [{
|
|
"vectorObservationSize": 3,
|
|
"numStackedVectorObservations": 2,
|
|
"vectorActionSize": 2,
|
|
"memorySize": 0,
|
|
"cameraResolutions": [{"width":30,"height":40,"blackAndWhite":false}],
|
|
"vectorActionDescriptions": ["",""],
|
|
"vectorActionSpaceType": 0,
|
|
"vectorObservationSpaceType": 1
|
|
}]
|
|
}'''.encode()
|
|
|
|
tf.reset_default_graph()
|
|
with mock.patch('subprocess.Popen'):
|
|
with mock.patch('socket.socket') as mock_socket:
|
|
with mock.patch('glob.glob') as mock_glob:
|
|
with tf.Session() as sess:
|
|
with tf.variable_scope("FakeGraphScope"):
|
|
mock_glob.return_value = ['FakeLaunchPath']
|
|
mock_socket.return_value.accept.return_value = (mock_socket, 0)
|
|
mock_socket.recv.return_value.decode.return_value = d_action_c_state_start
|
|
env = UnityEnvironment(' ')
|
|
|
|
model = BehavioralCloningModel(env.brains["RealFakeBrain"])
|
|
init = tf.global_variables_initializer()
|
|
sess.run(init)
|
|
|
|
run_list = [model.sample_action, model.policy]
|
|
feed_dict = {model.batch_size: 2,
|
|
model.dropout_rate: 1.0,
|
|
model.sequence_length: 1,
|
|
model.vector_in: np.array([[1, 2, 3, 1, 2, 3],
|
|
[3, 4, 5, 3, 4, 5]]),
|
|
model.visual_in[0]: np.ones([2, 40, 30, 3])}
|
|
sess.run(run_list, feed_dict=feed_dict)
|
|
env.close()
|
|
|
|
|
|
if __name__ == '__main__':
|
|
pytest.main()
|