Unity 机器学习代理工具包 (ML-Agents) 是一个开源项目,它使游戏和模拟能够作为训练智能代理的环境。
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20 行
684 B

import torch
from mlagents.trainers.torch.layers import Swish, linear_layer, Initialization
def test_swish():
layer = Swish()
input_tensor = torch.Tensor([[1, 2, 3], [4, 5, 6]])
target_tensor = torch.mul(input_tensor, torch.sigmoid(input_tensor))
assert torch.all(torch.eq(layer(input_tensor), target_tensor))
def test_initialization_layer():
torch.manual_seed(0)
# Test Zero
layer = linear_layer(
3, 4, kernel_init=Initialization.Zero, bias_init=Initialization.Zero
)
assert torch.all(torch.eq(layer.weight.data, torch.zeros_like(layer.weight.data)))
assert torch.all(torch.eq(layer.bias.data, torch.zeros_like(layer.bias.data)))