Mercurial > repos > public > sbplib_julia
comparison test/LazyTensors/lazy_tensor_operations_test.jl @ 997:20c376dffe84 refactor/lazy_tensors
Move tuple functions to their own file
author | Jonatan Werpers <jonatan@werpers.com> |
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date | Fri, 18 Mar 2022 21:26:02 +0100 |
parents | 1ba8a398af9c |
children | 271aa6ae1055 |
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996:aa72f067e771 | 997:20c376dffe84 |
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392 | 392 |
393 @test InflatedLazyTensor(I(2), I(2), I(2)) isa InflatedLazyTensor # The constructor should always return its type. | 393 @test InflatedLazyTensor(I(2), I(2), I(2)) isa InflatedLazyTensor # The constructor should always return its type. |
394 end | 394 end |
395 end | 395 end |
396 | 396 |
397 @testset "split_index" begin | |
398 @test LazyTensors.split_index(Val(2),Val(1),Val(2),Val(2),1,2,3,4,5,6) == ((1,2,:,5,6),(3,4)) | |
399 @test LazyTensors.split_index(Val(2),Val(3),Val(2),Val(2),1,2,3,4,5,6) == ((1,2,:,:,:,5,6),(3,4)) | |
400 @test LazyTensors.split_index(Val(3),Val(1),Val(1),Val(2),1,2,3,4,5,6) == ((1,2,3,:,5,6),(4,)) | |
401 @test LazyTensors.split_index(Val(3),Val(2),Val(1),Val(2),1,2,3,4,5,6) == ((1,2,3,:,:,5,6),(4,)) | |
402 @test LazyTensors.split_index(Val(1),Val(1),Val(2),Val(3),1,2,3,4,5,6) == ((1,:,4,5,6),(2,3)) | |
403 @test LazyTensors.split_index(Val(1),Val(2),Val(2),Val(3),1,2,3,4,5,6) == ((1,:,:,4,5,6),(2,3)) | |
404 | |
405 @test LazyTensors.split_index(Val(0),Val(1),Val(3),Val(3),1,2,3,4,5,6) == ((:,4,5,6),(1,2,3)) | |
406 @test LazyTensors.split_index(Val(3),Val(1),Val(3),Val(0),1,2,3,4,5,6) == ((1,2,3,:),(4,5,6)) | |
407 | |
408 @inferred LazyTensors.split_index(Val(2),Val(3),Val(2),Val(2),1,2,3,2,2,4) | |
409 end | |
410 | |
411 @testset "slice_tuple" begin | |
412 @test LazyTensors.slice_tuple((1,2,3),Val(1), Val(3)) == (1,2,3) | |
413 @test LazyTensors.slice_tuple((1,2,3,4,5,6),Val(2), Val(5)) == (2,3,4,5) | |
414 @test LazyTensors.slice_tuple((1,2,3,4,5,6),Val(1), Val(3)) == (1,2,3) | |
415 @test LazyTensors.slice_tuple((1,2,3,4,5,6),Val(4), Val(6)) == (4,5,6) | |
416 end | |
417 | |
418 @testset "split_tuple" begin | |
419 @testset "2 parts" begin | |
420 @test LazyTensors.split_tuple((),Val(0)) == ((),()) | |
421 @test LazyTensors.split_tuple((1,),Val(0)) == ((),(1,)) | |
422 @test LazyTensors.split_tuple((1,),Val(1)) == ((1,),()) | |
423 | |
424 @test LazyTensors.split_tuple((1,2,3,4),Val(0)) == ((),(1,2,3,4)) | |
425 @test LazyTensors.split_tuple((1,2,3,4),Val(1)) == ((1,),(2,3,4)) | |
426 @test LazyTensors.split_tuple((1,2,3,4),Val(2)) == ((1,2),(3,4)) | |
427 @test LazyTensors.split_tuple((1,2,3,4),Val(3)) == ((1,2,3),(4,)) | |
428 @test LazyTensors.split_tuple((1,2,3,4),Val(4)) == ((1,2,3,4),()) | |
429 | |
430 @test LazyTensors.split_tuple((1,2,true,4),Val(3)) == ((1,2,true),(4,)) | |
431 | |
432 @inferred LazyTensors.split_tuple((1,2,3,4),Val(3)) | |
433 @inferred LazyTensors.split_tuple((1,2,true,4),Val(3)) | |
434 end | |
435 | |
436 @testset "3 parts" begin | |
437 @test LazyTensors.split_tuple((),Val(0),Val(0)) == ((),(),()) | |
438 @test LazyTensors.split_tuple((1,2,3),Val(1), Val(1)) == ((1,),(2,),(3,)) | |
439 @test LazyTensors.split_tuple((1,true,3),Val(1), Val(1)) == ((1,),(true,),(3,)) | |
440 | |
441 @test LazyTensors.split_tuple((1,2,3,4,5,6),Val(1),Val(2)) == ((1,),(2,3),(4,5,6)) | |
442 @test LazyTensors.split_tuple((1,2,3,4,5,6),Val(3),Val(2)) == ((1,2,3),(4,5),(6,)) | |
443 | |
444 @inferred LazyTensors.split_tuple((1,2,3,4,5,6),Val(3),Val(2)) | |
445 @inferred LazyTensors.split_tuple((1,true,3),Val(1), Val(1)) | |
446 end | |
447 end | |
448 | |
449 @testset "flatten_tuple" begin | |
450 @test LazyTensors.flatten_tuple((1,)) == (1,) | |
451 @test LazyTensors.flatten_tuple((1,2,3,4,5,6)) == (1,2,3,4,5,6) | |
452 @test LazyTensors.flatten_tuple((1,2,(3,4),5,6)) == (1,2,3,4,5,6) | |
453 @test LazyTensors.flatten_tuple((1,2,(3,(4,5)),6)) == (1,2,3,4,5,6) | |
454 @test LazyTensors.flatten_tuple(((1,2),(3,4),(5,),6)) == (1,2,3,4,5,6) | |
455 end | |
456 | |
457 | |
458 @testset "LazyOuterProduct" begin | 397 @testset "LazyOuterProduct" begin |
459 | 398 |
460 A = ScalingTensor(2.0, (5,)) | 399 A = ScalingTensor(2.0, (5,)) |
461 B = ScalingTensor(3.0, (3,)) | 400 B = ScalingTensor(3.0, (3,)) |
462 C = ScalingTensor(5.0, (3,2)) | 401 C = ScalingTensor(5.0, (3,2)) |