8b65e66f2f
1. Suggest the typical `call()` method signature for base layer, make it clear that *args and **kwargs are not needed unless necessary. 2. Add *args to the `call()` method signature to make it align with the docstring. 3. Add reference to the tf guide for custom layer from the docstring. PiperOrigin-RevId: 350499593 Change-Id: I4066d335a4a337cf7923bffc1e4f090f15e3f30f
249 lines
6.9 KiB
Plaintext
249 lines
6.9 KiB
Plaintext
path: "tensorflow.keras.metrics.FalsePositives"
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tf_class {
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is_instance: "<class \'tensorflow.python.keras.metrics.FalsePositives\'>"
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is_instance: "<class \'tensorflow.python.keras.metrics._ConfusionMatrixConditionCount\'>"
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is_instance: "<class \'tensorflow.python.keras.metrics.Metric\'>"
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is_instance: "<class \'tensorflow.python.keras.engine.base_layer.Layer\'>"
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is_instance: "<class \'tensorflow.python.module.module.Module\'>"
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is_instance: "<class \'tensorflow.python.training.tracking.tracking.AutoTrackable\'>"
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is_instance: "<class \'tensorflow.python.training.tracking.base.Trackable\'>"
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is_instance: "<class \'tensorflow.python.keras.utils.version_utils.LayerVersionSelector\'>"
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is_instance: "<type \'object\'>"
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member {
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name: "activity_regularizer"
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mtype: "<type \'property\'>"
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}
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member {
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name: "compute_dtype"
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mtype: "<type \'property\'>"
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}
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member {
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name: "dtype"
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mtype: "<type \'property\'>"
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}
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member {
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name: "dtype_policy"
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mtype: "<type \'property\'>"
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}
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member {
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name: "dynamic"
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mtype: "<type \'property\'>"
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}
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member {
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name: "inbound_nodes"
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mtype: "<type \'property\'>"
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}
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member {
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name: "input"
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mtype: "<type \'property\'>"
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}
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member {
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name: "input_mask"
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mtype: "<type \'property\'>"
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}
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member {
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name: "input_shape"
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mtype: "<type \'property\'>"
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}
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member {
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name: "input_spec"
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mtype: "<type \'property\'>"
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}
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member {
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name: "losses"
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mtype: "<type \'property\'>"
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}
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member {
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name: "metrics"
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mtype: "<type \'property\'>"
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}
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member {
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name: "name"
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mtype: "<type \'property\'>"
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}
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member {
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name: "name_scope"
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mtype: "<type \'property\'>"
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}
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member {
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name: "non_trainable_variables"
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mtype: "<type \'property\'>"
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}
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member {
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name: "non_trainable_weights"
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mtype: "<type \'property\'>"
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}
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member {
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name: "outbound_nodes"
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mtype: "<type \'property\'>"
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}
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member {
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name: "output"
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mtype: "<type \'property\'>"
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}
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member {
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name: "output_mask"
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mtype: "<type \'property\'>"
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}
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member {
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name: "output_shape"
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mtype: "<type \'property\'>"
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}
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member {
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name: "stateful"
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mtype: "<type \'property\'>"
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}
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member {
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name: "submodules"
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mtype: "<type \'property\'>"
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}
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member {
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name: "supports_masking"
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mtype: "<type \'property\'>"
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}
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member {
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name: "trainable"
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mtype: "<type \'property\'>"
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}
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member {
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name: "trainable_variables"
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mtype: "<type \'property\'>"
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}
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member {
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name: "trainable_weights"
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mtype: "<type \'property\'>"
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}
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member {
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name: "updates"
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mtype: "<type \'property\'>"
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}
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member {
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name: "variable_dtype"
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mtype: "<type \'property\'>"
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}
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member {
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name: "variables"
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mtype: "<type \'property\'>"
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}
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member {
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name: "weights"
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mtype: "<type \'property\'>"
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}
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member_method {
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name: "__init__"
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argspec: "args=[\'self\', \'thresholds\', \'name\', \'dtype\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\'], "
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}
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member_method {
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name: "add_loss"
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argspec: "args=[\'self\', \'losses\'], varargs=None, keywords=kwargs, defaults=None"
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}
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member_method {
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name: "add_metric"
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argspec: "args=[\'self\', \'value\', \'name\'], varargs=None, keywords=kwargs, defaults=[\'None\'], "
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}
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member_method {
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name: "add_update"
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argspec: "args=[\'self\', \'updates\', \'inputs\'], varargs=None, keywords=None, defaults=[\'None\'], "
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}
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member_method {
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name: "add_variable"
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argspec: "args=[\'self\'], varargs=args, keywords=kwargs, defaults=None"
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}
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member_method {
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name: "add_weight"
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argspec: "args=[\'self\', \'name\', \'shape\', \'aggregation\', \'synchronization\', \'initializer\', \'dtype\'], varargs=None, keywords=None, defaults=[\'()\', \'VariableAggregation.SUM\', \'VariableSynchronization.ON_READ\', \'None\', \'None\'], "
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}
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member_method {
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name: "apply"
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argspec: "args=[\'self\', \'inputs\'], varargs=args, keywords=kwargs, defaults=None"
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}
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member_method {
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name: "build"
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argspec: "args=[\'self\', \'input_shape\'], varargs=None, keywords=None, defaults=None"
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}
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member_method {
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name: "call"
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argspec: "args=[\'self\', \'inputs\'], varargs=args, keywords=kwargs, defaults=None"
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}
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member_method {
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name: "compute_mask"
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argspec: "args=[\'self\', \'inputs\', \'mask\'], varargs=None, keywords=None, defaults=[\'None\'], "
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}
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member_method {
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name: "compute_output_shape"
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argspec: "args=[\'self\', \'input_shape\'], varargs=None, keywords=None, defaults=None"
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}
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member_method {
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name: "compute_output_signature"
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argspec: "args=[\'self\', \'input_signature\'], varargs=None, keywords=None, defaults=None"
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}
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member_method {
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name: "count_params"
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argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
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}
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member_method {
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name: "from_config"
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argspec: "args=[\'cls\', \'config\'], varargs=None, keywords=None, defaults=None"
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}
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member_method {
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name: "get_config"
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argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
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}
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member_method {
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name: "get_input_at"
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argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None"
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}
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member_method {
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name: "get_input_mask_at"
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argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None"
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}
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member_method {
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name: "get_input_shape_at"
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argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None"
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}
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member_method {
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name: "get_losses_for"
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argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None"
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}
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member_method {
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name: "get_output_at"
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argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None"
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}
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member_method {
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name: "get_output_mask_at"
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argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None"
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}
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member_method {
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name: "get_output_shape_at"
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argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None"
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}
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member_method {
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name: "get_updates_for"
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argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None"
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}
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member_method {
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name: "get_weights"
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argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
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}
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member_method {
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name: "reset_states"
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argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
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}
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member_method {
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name: "result"
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argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
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}
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member_method {
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name: "set_weights"
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argspec: "args=[\'self\', \'weights\'], varargs=None, keywords=None, defaults=None"
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}
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member_method {
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name: "update_state"
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argspec: "args=[\'self\', \'y_true\', \'y_pred\', \'sample_weight\'], varargs=None, keywords=None, defaults=[\'None\'], "
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}
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member_method {
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name: "with_name_scope"
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argspec: "args=[\'cls\', \'method\'], varargs=None, keywords=None, defaults=None"
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}
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}
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