tft.sum
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Computes the sum of the values of a Tensor
over the whole dataset.
tft.sum(
x: common_types.TensorType,
reduce_instance_dims: bool = True,
name: Optional[str] = None
) -> tf.Tensor
Args |
x
|
A Tensor , SparseTensor , or RaggedTensor . Its type must be floating
point (float{16|32|64}),integral (int{8|16|32|64}), or unsigned
integral (uint{8|16}).
|
reduce_instance_dims
|
By default collapses the batch and instance dimensions
to arrive at a single scalar output. If False, only collapses the batch
dimension and outputs a vector of the same shape as the input.
|
name
|
(Optional) A name for this operation.
|
Returns |
A Tensor containing the sum. If x is float32 or float64, the sum will
have the same type as x . If x is float16, the output is cast to float32.
If x is integral, the output is cast to [u]int64. If x is sparse and
reduce_inst_dims is False will return 0 in place where column has no values
across batches.
|
Raises |
TypeError
|
If the type of x is not supported.
|
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Last updated 2024-04-26 UTC.
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