TastyPancakes/Flux.jl
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Ali Hamdi 2017-06-09 21:42:38 +02:00
parent 697a300ec3
commit 7559196ab9
2 changed files with 5 additions and 0 deletions
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2
src/backend/tensorflow/graph.jl
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@ -28,6 +28,8 @@ 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(any), x, dim=nothing) = TensorFlow.reduce_any(x;axis=dim)
graph(::typeof(mean), x, dim=nothing) = TensorFlow.reduce_mean(x;axis=dim) graph(::typeof(mean), x, dim=nothing) = TensorFlow.reduce_mean(x;axis=dim)
graph(::typeof(svd), x) = svd(x) graph(::typeof(svd), x) = svd(x)
graph(::typeof(size), x, dim) = TensorFlow.size(x,convert(Tensor{Int32}, dim))
graph(::typeof(size), x) = TensorFlow.size(x)
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, sin, tan, atan, asin, acos, tanh, lgamma, erf, erfc, real, imag, conj,

3
test/backend/tensorflow.jl
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@ -41,6 +41,9 @@ end
@test tf(@net x -> diag(x))(A) ≈ diag(A) @test tf(@net x -> diag(x))(A) ≈ diag(A)
A = randn(Float32,(5,)) A = randn(Float32,(5,))
@test tf(@net x -> diagm(x))(A) ≈ diagm(A) @test tf(@net x -> diagm(x))(A) ≈ diagm(A)
A = randn(4,5)
@test tf(@net x -> size(x))(A) == [4,5]
@test tf(@net (x,y) -> size(x,y))(A,1) == 4
end end
end end