[Frontend][Paddle] [PaddlePaddle Hackathon 4]add attribute support for dropout/hard_sigmoid/pixel_shuffle #14575
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MayYouBeProsperous
changed the title
jiangjiajun
suggested changes
Apr 12, 2023
| g.add_node(op.output("Out")[0], x) | ||
| dropout_prob = op.attr("dropout_prob") | ||
| out = _op.nn.dropout(x, dropout_prob) | ||
| g.add_node(op.output("Out")[0], out) |
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There're two mode in dropout, refer https://www.paddlepaddle.org.cn/documentation/docs/zh/api/paddle/nn/Dropout_cn.html#dropout for more details
| _expr.const(0.5, dtype="float32") | ||
| + _op.erf(x * _expr.const(0.5**0.5, dtype="float32")) * _expr.const(0.5, dtype="float32") | ||
| ) | ||
| approximate = op.attr("approximate") |
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There's no need to implement approximate strategy, it's just a strategy to boost computation in Paddle
MayYouBeProsperous
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junrushao
approved these changes
Apr 12, 2023
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add
dropout_probanddropout_implementationattributes fordropoutop.add
offsetattribute forhard_sigmoidop.add
data_formatattribute forpixel_shuffleop.