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hub / github.com/benoitsteiner/tensorflow-opencl / reduce_logsumexp

Function reduce_logsumexp

tensorflow/python/ops/math_ops.py:1628–1691  ·  view source on GitHub ↗

Computes log(sum(exp(elements across dimensions of a tensor))). Reduces `input_tensor` along the dimensions given in `axis`. Unless `keep_dims` is true, the rank of the tensor is reduced by 1 for each entry in `axis`. If `keep_dims` is true, the reduced dimensions are retained with length 1

(input_tensor,
                     axis=None,
                     keep_dims=False,
                     name=None,
                     reduction_indices=None)

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Callers

nothing calls this directly

Calls 5

reduce_maxFunction · 0.85
name_scopeMethod · 0.80
logMethod · 0.80
reduce_sumFunction · 0.70
stop_gradientMethod · 0.45

Tested by

no test coverage detected