2023-04-19 19:52:58 +00:00
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from keras_core import operations as ops
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from keras_core.api_export import keras_core_export
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2023-04-12 18:31:58 +00:00
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from keras_core.backend import standardize_dtype
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2023-04-09 19:21:45 +00:00
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from keras_core.initializers.initializer import Initializer
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2023-04-19 19:52:58 +00:00
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@keras_core_export("keras_core.initializers.Zeros")
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2023-04-09 19:21:45 +00:00
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class Zeros(Initializer):
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"""Initializer that generates tensors initialized to 0.
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Examples:
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>>> # Standalone usage:
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>>> initializer = Zeros()
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>>> values = initializer(shape=(2, 2))
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>>> # Usage in a Keras layer:
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>>> initializer = Zeros()
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>>> layer = Dense(3, kernel_initializer=initializer)
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"""
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2023-04-19 19:52:58 +00:00
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def __call__(self, shape, dtype=None):
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2023-04-09 19:21:45 +00:00
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"""Returns a tensor object initialized as specified by the initializer.
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Args:
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shape: Shape of the tensor.
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dtype: Optional dtype of the tensor. Only numeric or boolean dtypes
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are supported. If not specified, `keras_core.backend.floatx()` is
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used, which default to `float32` unless you configured it otherwise
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(via `keras_core.backend.set_floatx(float_dtype)`).
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**kwargs: Additional keyword arguments.
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"""
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dtype = standardize_dtype(dtype)
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2023-04-19 19:52:58 +00:00
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return ops.zeros(shape, dtype=dtype)
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2023-04-09 19:21:45 +00:00
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2023-04-19 19:52:58 +00:00
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@keras_core_export("keras_core.initializers.Ones")
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2023-04-09 19:21:45 +00:00
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class Ones(Initializer):
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"""Initializer that generates tensors initialized to 1.
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Also available via the shortcut function `ones`.
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Examples:
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>>> # Standalone usage:
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>>> initializer = Ones()
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>>> values = initializer(shape=(2, 2))
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>>> # Usage in a Keras layer:
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>>> initializer = Ones()
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>>> layer = Dense(3, kernel_initializer=initializer)
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"""
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2023-04-19 19:52:58 +00:00
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def __call__(self, shape, dtype=None):
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2023-04-09 19:21:45 +00:00
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"""Returns a tensor object initialized as specified by the initializer.
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Args:
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shape: Shape of the tensor.
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dtype: Optional dtype of the tensor. Only numeric or boolean dtypes
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are supported. If not specified, `keras_core.backend.floatx()` is
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used, which default to `float32` unless you configured it otherwise
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(via `keras_core.backend.set_floatx(float_dtype)`).
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**kwargs: Additional keyword arguments.
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"""
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dtype = standardize_dtype(dtype)
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2023-04-19 19:52:58 +00:00
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return ops.ones(shape, dtype=dtype)
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