dim defaults to nothing for reduction ops

This commit is contained in:
Ali Hamdi 2017-05-09 16:50:32 +02:00
parent d5b073db74
commit 92d39f9ff7

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@ -21,15 +21,15 @@ graph(::typeof(relu), x) = nn.relu(x)
graph(::typeof(σ), x) = nn.sigmoid(x)
graph(::typeof(hcat), xs...) = concat(1, xs)
graph(::typeof(seq), xs, n) = TensorFlow.unpack(xs, num = n, axis = 1)
graph(::typeof(sum), x, dim) = TensorFlow.reduce_sum(x;axis=dim)
graph(::typeof(prod), x, dim) = TensorFlow.reduce_prod(x;axis=dim)
graph(::typeof(min), x, dim) = TensorFlow.reduce_min(x;axis=dim)
graph(::typeof(max), x, dim) = TensorFlow.reduce_max(x;axis=dim)
graph(::typeof(all), x, dim) = TensorFlow.reduce_all(x;axis=dim)
graph(::typeof(any), x, dim) = TensorFlow.reduce_any(x;axis=dim)
graph(::typeof(mean), x, dim) = TensorFlow.reduce_mean(x;axis=dim)
graph(::typeof(sum), x, dim=nothing) = TensorFlow.reduce_sum(x;axis=dim)
graph(::typeof(prod), x, dim=nothing) = TensorFlow.reduce_prod(x;axis=dim)
graph(::typeof(min), x, dim=nothing) = TensorFlow.reduce_min(x;axis=dim)
graph(::typeof(max), x, dim=nothing) = TensorFlow.reduce_max(x;axis=dim)
graph(::typeof(all), x, dim=nothing) = TensorFlow.reduce_all(x;axis=dim)
graph(::typeof(any), x, dim=nothing) = TensorFlow.reduce_any(x;axis=dim)
graph(::typeof(mean), x, dim=nothing) = TensorFlow.reduce_mean(x;axis=dim)
for op in (*, .*, .+, .^, log, exp, ceil, floor, sqrt, abs, cos,
for op in (*, .*, .+, .^, log, exp, ceil, floor, sqrt, abs, cos,
sin, tan, atan, asin, acos, tanh, lgamma, erf, erfc, real, imag, conj)
@eval graph(::typeof($op), args...) = $op(args...)
end