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feat: support qadam in fused optimizer (#477)
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import unittest | ||
import torch | ||
import torch.nn as nn | ||
import torch.nn.functional as F | ||
from bagua.torch_api.algorithms.q_adam import QAdamOptimizer | ||
from tests import skip_if_cuda_available | ||
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class Net(nn.Module): | ||
def __init__(self): | ||
super(Net, self).__init__() | ||
self.fc1 = nn.Linear(2, 10, bias=False) | ||
self.fc2 = nn.Linear(10, 50, bias=True) | ||
self.fc3 = nn.Linear(50, 4, bias=False) | ||
self.relu = nn.ReLU() | ||
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def forward(self, x): | ||
x = self.relu(self.fc1(x)) | ||
x = self.relu(self.fc2(x)) | ||
x = self.fc3(x) | ||
return F.softmax(x, dim=1) | ||
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def run_step(opt_cls, opt_flags, seed): | ||
torch.manual_seed(seed) | ||
model = Net() | ||
optimizer = opt_cls(model.parameters(), **opt_flags) | ||
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for step in range(1000): | ||
data = torch.randn(4, 2) | ||
target = torch.randn(4, 4) | ||
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optimizer.zero_grad() | ||
output = model(data) | ||
loss = nn.MSELoss()(output, target) | ||
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loss.backward() | ||
optimizer.step() | ||
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return loss | ||
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class TestQAdam(unittest.TestCase): | ||
@skip_if_cuda_available() | ||
def test_qadam_optimizer(self): | ||
loss1 = run_step(torch.optim.Adam, {"lr": 0.001, "weight_decay": 0.1}, seed=13) | ||
loss2 = run_step( | ||
QAdamOptimizer, | ||
{"lr": 0.001, "weight_decay": 0.1, "warmup_steps": 2000}, | ||
seed=13, | ||
) | ||
self.assertEqual(loss1.item(), loss2.item()) |