tft.sum

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

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.

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.

TypeError: If the type of x is not supported.