API - Array Operations¶
A file containing functions related to array manipulation.
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Creates a tensor with all elements set to alpha_value. |
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Creates a tensor with all elements set to alpha_value. |
Tensorflow Tensor Operations¶
tl.alphas¶
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tensorlayer.array_ops.
alphas
(shape, alpha_value, name=None)[source]¶ Creates a tensor with all elements set to alpha_value. This operation returns a tensor of type dtype with shape shape and all elements set to alpha.
- Parameters
shape (A list of integers, a tuple of integers, or a 1-D Tensor of type int32.) – The shape of the desired tensor
alpha_value (float32, float64, int8, uint8, int16, uint16, int32`, int64) – The value used to fill the resulting Tensor.
name (str) – A name for the operation (optional).
- Returns
- Return type
A Tensor with all elements set to alpha.
Examples
>>> tl.alphas([2, 3], tf.int32) # [[alpha, alpha, alpha], [alpha, alpha, alpha]]
tl.alphas_like¶
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tensorlayer.array_ops.
alphas_like
(tensor, alpha_value, name=None, optimize=True)[source]¶ Creates a tensor with all elements set to alpha_value. Given a single tensor (tensor), this operation returns a tensor of the same type and shape as tensor with all elements set to alpha_value.
- Parameters
tensor (tf.Tensor) – The Tensorflow Tensor that will be used as a template.
alpha_value (float32, float64, int8, uint8, int16, uint16, int32`, int64) – The value used to fill the resulting Tensor.
name (str) – A name for the operation (optional).
optimize (bool) – if true, attempt to statically determine the shape of ‘tensor’ and encode it as a constant.
- Returns
- Return type
A Tensor with all elements set to alpha_value.
Examples
>>> tensor = tf.constant([[1, 2, 3], [4, 5, 6]]) >>> tl.alphas_like(tensor, 0.5) # [[0.5, 0.5, 0.5], [0.5, 0.5, 0.5]]