0d7620c3bc
Also add swish activation to keras.activations (used by EfficientNets). PiperOrigin-RevId: 286614744 Change-Id: Ieba8b1f47735bdbb31c4efc84f45f763b9daa9a4
64 lines
1.9 KiB
Plaintext
64 lines
1.9 KiB
Plaintext
path: "tensorflow.keras.activations"
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tf_module {
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member_method {
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name: "deserialize"
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argspec: "args=[\'name\', \'custom_objects\'], varargs=None, keywords=None, defaults=[\'None\'], "
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}
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member_method {
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name: "elu"
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argspec: "args=[\'x\', \'alpha\'], varargs=None, keywords=None, defaults=[\'1.0\'], "
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}
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member_method {
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name: "exponential"
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argspec: "args=[\'x\'], varargs=None, keywords=None, defaults=None"
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}
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member_method {
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name: "get"
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argspec: "args=[\'identifier\'], varargs=None, keywords=None, defaults=None"
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}
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member_method {
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name: "hard_sigmoid"
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argspec: "args=[\'x\'], varargs=None, keywords=None, defaults=None"
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}
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member_method {
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name: "linear"
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argspec: "args=[\'x\'], varargs=None, keywords=None, defaults=None"
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}
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member_method {
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name: "relu"
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argspec: "args=[\'x\', \'alpha\', \'max_value\', \'threshold\'], varargs=None, keywords=None, defaults=[\'0.0\', \'None\', \'0\'], "
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}
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member_method {
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name: "selu"
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argspec: "args=[\'x\'], varargs=None, keywords=None, defaults=None"
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}
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member_method {
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name: "serialize"
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argspec: "args=[\'activation\'], varargs=None, keywords=None, defaults=None"
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}
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member_method {
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name: "sigmoid"
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argspec: "args=[\'x\'], varargs=None, keywords=None, defaults=None"
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}
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member_method {
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name: "softmax"
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argspec: "args=[\'x\', \'axis\'], varargs=None, keywords=None, defaults=[\'-1\'], "
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}
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member_method {
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name: "softplus"
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argspec: "args=[\'x\'], varargs=None, keywords=None, defaults=None"
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}
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member_method {
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name: "softsign"
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argspec: "args=[\'x\'], varargs=None, keywords=None, defaults=None"
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}
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member_method {
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name: "swish"
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argspec: "args=[\'x\'], varargs=None, keywords=None, defaults=None"
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}
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member_method {
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name: "tanh"
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argspec: "args=[\'x\'], varargs=None, keywords=None, defaults=None"
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}
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}
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