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【PPSCI Doc No.24】ppsci.arch.Generator #802

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【PPSCI Doc No.24】ppsci.arch.Generator #802

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API 文档补全Generator
Mar 10, 2024
96b0204
Update gan.py
Turingg Mar 11, 2024
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API 文档补全Generator
Mar 13, 2024
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Merge remote-tracking branch 'origin/Generator' into Generator
Mar 13, 2024
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10 changes: 10 additions & 0 deletions ppsci/arch/gan.py
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Expand Up @@ -171,6 +171,8 @@ class Generator(base.Arch):

Examples:
>>> import ppsci
>>> import warnings
>>> warnings.filterwarnings("ignore", message="When training, we now always track global mean and variance.")
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这里的两行应该可以去掉，这类警告应该不会算在doctest的对比内容里

>>> in_channel = 1
>>> rb_channel0 = (2, 8, 8)
>>> rb_channel1 = (128, 128, 128)
Expand All @@ -182,6 +184,14 @@ class Generator(base.Arch):
>>> use_bns_tuple = ((True, True, True), ) * 3 + ((False, False, False), )
>>> acts_tuple = (("relu", None, None), ) * 4
>>> model = ppsci.arch.Generator(("in",), ("out",), in_channel, out_channels_tuple, kernel_sizes_tuple, strides_tuple, use_bns_tuple, acts_tuple)
>>> batch_size = 4
>>> height = 64
>>> width = 64
>>> input_data = paddle.randn([batch_size, in_channel, height, width])
>>> input_dict = {'in': input_data}
>>> output_data = model(input_dict) # 不需要计算梯度，因为这只是前向传播
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"不需要计算梯度，因为这只是前向传播"这句话可以删除

>>> print(output_data['out'].shape)
[4, 1, 64, 64]
"""

def __init__(
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