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Model
pytensor_ml.model.Model
pytensor_ml.model.Model.__init__
pytensor_ml.model.Model.compile_train
pytensor_ml.model.Model.initialize
pytensor_ml.model.Model.predict
Layers
pytensor_ml.layers.Layer
pytensor_ml.layers.Input
pytensor_ml.layers.Sequential
pytensor_ml.layers.Concatenate
pytensor_ml.layers.Flatten
pytensor_ml.layers.Squeeze
pytensor_ml.layers.Linear
pytensor_ml.layers.Linear.__init__
pytensor_ml.layers.Embedding
pytensor_ml.layers.Embedding.__init__
pytensor_ml.layers.Conv1D
pytensor_ml.layers.Conv2D
pytensor_ml.layers.ConvTranspose1D
pytensor_ml.layers.ConvTranspose2D
pytensor_ml.layers.MaxPool1D
pytensor_ml.layers.MaxPool2D
pytensor_ml.layers.AvgPool1D
pytensor_ml.layers.AvgPool2D
pytensor_ml.layers.Upsample1D
pytensor_ml.layers.Upsample2D
pytensor_ml.layers.ZeroPad1D
pytensor_ml.layers.ZeroPad2D
pytensor_ml.layers.ConstantPad1D
pytensor_ml.layers.ConstantPad2D
pytensor_ml.layers.ReflectionPad1D
pytensor_ml.layers.ReflectionPad2D
pytensor_ml.layers.ReplicationPad1D
pytensor_ml.layers.ReplicationPad2D
pytensor_ml.layers.BatchNorm
pytensor_ml.layers.BatchNorm.__init__
pytensor_ml.layers.LayerNorm
pytensor_ml.layers.LayerNorm.__init__
pytensor_ml.layers.GroupNorm
pytensor_ml.layers.GroupNorm.__init__
pytensor_ml.layers.Dropout
pytensor_ml.layers.Dropout.__init__
pytensor_ml.layers.RNN
pytensor_ml.layers.RNN.__init__
pytensor_ml.layers.LSTM
pytensor_ml.layers.LSTM.__init__
pytensor_ml.layers.GRU
pytensor_ml.layers.GRU.__init__
pytensor_ml.layers.Bidirectional
pytensor_ml.layers.Bidirectional.__init__
pytensor_ml.layers.Recurrent
pytensor_ml.layers.Recurrent.__init__
pytensor_ml.layers.RecurrentCell
pytensor_ml.layers.RecurrentCell.initial_state
pytensor_ml.layers.RecurrentCell.step
pytensor_ml.layers.ElmanCell
pytensor_ml.layers.ElmanCell.__init__
pytensor_ml.layers.ElmanCell.initial_state
pytensor_ml.layers.ElmanCell.step
pytensor_ml.layers.LSTMCell
pytensor_ml.layers.LSTMCell.__init__
pytensor_ml.layers.LSTMCell.initial_state
pytensor_ml.layers.LSTMCell.step
pytensor_ml.layers.GRUCell
pytensor_ml.layers.GRUCell.__init__
pytensor_ml.layers.GRUCell.initial_state
pytensor_ml.layers.GRUCell.step
pytensor_ml.layers.MultiheadAttention
pytensor_ml.layers.MultiheadAttention.__init__
pytensor_ml.layers.CausalSelfAttention
pytensor_ml.layers.CausalSelfAttention.__init__
pytensor_ml.layers.FeedForward
pytensor_ml.layers.FeedForward.__init__
pytensor_ml.layers.TransformerBlock
pytensor_ml.layers.TransformerBlock.__init__
pytensor_ml.layers.scaled_dot_product_attention
Activations
pytensor_ml.activations.Activation
pytensor_ml.activations.ReLU
pytensor_ml.activations.LeakyReLU
pytensor_ml.activations.LeakyReLU.__init__
pytensor_ml.activations.GELU
pytensor_ml.activations.GELU.__init__
pytensor_ml.activations.QuickGELU
pytensor_ml.activations.QuickGELU.__init__
pytensor_ml.activations.Swish
pytensor_ml.activations.Swish.__init__
pytensor_ml.activations.Sigmoid
pytensor_ml.activations.SoftPlus
pytensor_ml.activations.Softmax
pytensor_ml.activations.Softmax.__init__
pytensor_ml.activations.Tanh
Losses
pytensor_ml.loss.Loss
pytensor_ml.loss.Loss.loss
pytensor_ml.loss.Loss.target_dtype
pytensor_ml.loss.Loss.target_ndim
pytensor_ml.loss.SquaredError
pytensor_ml.loss.SquaredError.__init__
pytensor_ml.loss.SquaredError.loss
pytensor_ml.loss.CrossEntropy
pytensor_ml.loss.CrossEntropy.__init__
pytensor_ml.loss.CrossEntropy.loss
pytensor_ml.loss.CrossEntropy.target_dtype
pytensor_ml.loss.CrossEntropy.target_ndim
pytensor_ml.loss.supervised_loss
Optimization
pytensor_ml.optim.compile_train
pytensor_ml.optim.sgd
pytensor_ml.optim.adam
pytensor_ml.optim.adamw
pytensor_ml.optim.nadam
pytensor_ml.optim.adamax
pytensor_ml.optim.rmsprop
pytensor_ml.optim.rprop
pytensor_ml.optim.adagrad
pytensor_ml.optim.adadelta
pytensor_ml.optim.chain
pytensor_ml.optim.scale
pytensor_ml.optim.scale_by_schedule
pytensor_ml.optim.add_weight_decay
pytensor_ml.optim.trace
pytensor_ml.optim.clip_by_global_norm
pytensor_ml.optim.clip_by_value
pytensor_ml.optim.skip_if
pytensor_ml.optim.apply_if_finite
pytensor_ml.optim.nonfinite
pytensor_ml.optim.large_step
pytensor_ml.optim.reduce_on_plateau
pytensor_ml.optim.SkipCondition
pytensor_ml.optim.SkipCondition.__init__
pytensor_ml.optim.constant_schedule
pytensor_ml.optim.linear_schedule
pytensor_ml.optim.linear_onecycle_schedule
pytensor_ml.optim.cosine_schedule
pytensor_ml.optim.exponential_schedule
pytensor_ml.optim.polynomial_schedule
pytensor_ml.optim.step_decay
pytensor_ml.optim.join_schedules
pytensor_ml.optim.counter
pytensor_ml.optim.get_gradients
pytensor_ml.optim.reuses_state
pytensor_ml.optim.scalar_state
pytensor_ml.optim.state_for
pytensor_ml.optim.steps_of
pytensor_ml.optim.to_floatx
pytensor_ml.optim.to_updates
pytensor_ml.optim.base.Transform
pytensor_ml.optim.base.Updates
pytensor_ml.optim.base.Updates.copy
pytensor_ml.optim.base.Updates.replacing
pytensor_ml.optim.base.Gradients
pytensor_ml.optim.base.Steps
pytensor_ml.optim.base.Schedule
pytensor_ml.optim.base.Rate
pytensor_ml.optim.base.LearningRate
pytensor_ml.optim.guards.Decision
pytensor_ml.optim.sgd_updates
pytensor_ml.optim.adam_updates
pytensor_ml.optim.adamw_updates
pytensor_ml.optim.nadam_updates
pytensor_ml.optim.adamax_updates
pytensor_ml.optim.rmsprop_updates
pytensor_ml.optim.rprop_updates
pytensor_ml.optim.adagrad_updates
pytensor_ml.optim.adadelta_updates
Parameters and initialization
pytensor_ml.params.TrainableParameter
pytensor_ml.params.NonTrainableParameter
pytensor_ml.params.StepCounter
pytensor_ml.params.StepCounter.advance
pytensor_ml.params.trainable
pytensor_ml.params.non_trainable
pytensor_ml.params.step_counter
pytensor_ml.state.Initializer
pytensor_ml.state.Initializer.initial_value
pytensor_ml.state.Initializer.sample
pytensor_ml.state.ZeroInitializer
pytensor_ml.state.ZeroInitializer.sample
pytensor_ml.state.OneInitializer
pytensor_ml.state.OneInitializer.sample
pytensor_ml.state.NormalInitializer
pytensor_ml.state.NormalInitializer.__init__
pytensor_ml.state.NormalInitializer.sample
pytensor_ml.state.UnitUniformInitializer
pytensor_ml.state.UnitUniformInitializer.sample
pytensor_ml.state.XavierNormalInitializer
pytensor_ml.state.XavierNormalInitializer.sample
pytensor_ml.state.XavierUniformInitializer
pytensor_ml.state.XavierUniformInitializer.sample
pytensor_ml.state.OrthogonalInitializer
pytensor_ml.state.OrthogonalInitializer.__init__
pytensor_ml.state.OrthogonalInitializer.sample
pytensor_ml.state.UnrecordedInitializer
pytensor_ml.state.UnrecordedInitializer.__init__
pytensor_ml.state.UnrecordedInitializer.sample
pytensor_ml.state.EmptyInitializer
pytensor_ml.state.EmptyInitializer.sample
pytensor_ml.state.initial_values_from
pytensor_ml.state.initialize_params
pytensor_ml.state.fans
Saving and loading
pytensor_ml.save_pretrained
pytensor_ml.from_pretrained
pytensor_ml.save_network
pytensor_ml.load_network
pytensor_ml.save_state
pytensor_ml.load_state
Pretrained models
pytensor_ml.models.architecture_name
pytensor_ml.models.build_from_config
pytensor_ml.models.register_builder
pytensor_ml.models.KeyMap
pytensor_ml.models.KeyMap.__init__
pytensor_ml.models.KeyMap.bind
pytensor_ml.models.KeyMap.key_for
pytensor_ml.models.KeyMap.keys
pytensor_ml.models.KeyMap.load
pytensor_ml.models.KeyMap.parameter_for
pytensor_ml.models.KeyMap.scope
pytensor_ml.models.bind_layer_norm
pytensor_ml.models.bind_linear
pytensor_ml.models.channels_last
Graph tools
pytensor_ml.pytensorf.function
pytensor_ml.pytensorf.compile_predict
pytensor_ml.pytensorf.rewrite_for_prediction
pytensor_ml.pytensorf.rewrite_pregrad
pytensor_ml.pytensorf.collect_graph_inputs
pytensor_ml.pytensorf.collect_data_inputs
pytensor_ml.pytensorf.collect_trainable_params
pytensor_ml.pytensorf.collect_non_trainable_params
pytensor_ml.pytensorf.collect_differentiable_params
pytensor_ml.pytensorf.collect_shared_variables
pytensor_ml.pytensorf.collect_step_counters
pytensor_ml.pytensorf.collect_clock_updates
pytensor_ml.pytensorf.collect_non_trainable_updates
pytensor_ml.pytensorf.find_rng_nodes
pytensor_ml.pytensorf.as_output_list
Utilities
pytensor_ml.util.DataLoader
pytensor_ml.util.DataLoader.__init__
pytensor_ml.util.DataLoader.move_cursor
pytensor_ml.util.DataLoader.reset
pytensor_ml.util.DataLoader.shuffle
API Reference
Parameters and initialization
pytensor_ml.state.ZeroInitializer
pytensor_ml.state.ZeroInitializer.sample
pytensor_ml.state.ZeroInitializer.sample
#
ZeroInitializer.
sample
(
shape
,
dtype
,
rng
)
#
On this page
ZeroInitializer.sample()
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