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embedding层开启sparse=True后,无法查看该层权重的梯度。 · Issue #69992 · PaddlePaddle/Paddle · GitHub
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description:paddle.nn.embedding层开启sparse=True后无法查看该层权重的梯度了,显示张量未初始化。但是我使用embedding.weight.gradient()可以勉强显示,但是paddle框架的输出结果提示了“该.gradient()马上就要在未来被移除了,尽快改为使用.grad用于查看参数”。而我使用.grad查看该层权重梯度的话就会提示我下面输出结果所示的内容,也就是张量未初始化。
我该如何查看开启sparse=True时的embedding层权重梯度呢?
Running code:
import paddle
import paddle.nn as nn
embedding=nn.Embedding(3,2,sparse=True)
embedding.weight.set_value(paddle.arange(6).reshape((3,2)).astype('float32'))
data=paddle.to_tensor((0,1))
out=embedding(data)
y=out.sum()*2
y.backward()
print(embedding.weight.grad) #这行还可以改为print(embedding.weight.gradient())
output result:
W1201 12:24:43.693264 4996 gpu_resources.cc:119] Please NOTE: device: 0, GPU Compute Capability: 7.5, Driver API Version: 12.6, Runtime API Version: 12.3
W1201 12:24:43.694262 4996 gpu_resources.cc:164] device: 0, cuDNN Version: 9.0.
Tensor(Not initialized)
(.venv)
其他补充信息 Additional Supplementary Information
感谢技术大佬花费解决问题我的issue,不胜感激。
其他补充信息 Additional Supplementary Information
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