Function LogSoftmax

tensorflow/go/op/wrappers.go:42101–42113

Computes log softmax activations. For each batch `i` and class `j` we have logsoftmax[i, j] = logits[i, j] - log(sum(exp(logits[i]))) Arguments: logits: 2-D with shape `[batch_size, num_classes]`. Returns Same shape as `logits`.

(scope *Scope, logits tf.Output)

//
// Returns Same shape as `logits`.
func LogSoftmax(scope *Scope, logits tf.Output) (logsoftmax tf.Output) {
	if scope.Err() != nil {
		return
	}
	opspec := tf.OpSpec{
		Type: "LogSoftmax",
		Input: []tf.Input{
			logits,
		},
	}
	op := scope.AddOperation(opspec)
	return op.Output(0)
}

// Returns the next record (key, value pair) produced by a Reader.
//