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authorAdam Lerer <alerer@fb.com>2017-02-22 01:13:06 +0300
committerAdam Lerer <alerer@fb.com>2017-02-28 21:30:31 +0300
commit49aaa5c89fdc7de87d0f8170e496d2945a0fc14a (patch)
treeba8b766dd96bc2b6c7d2ce80b91b850a27155970 /test
parentd46ff6fdeb3f3284e49da4348927c1ce8d7e758e (diff)
add TH_TENSOR_APPLY variants for optimized redux (+refactor)
Diffstat (limited to 'test')
-rw-r--r--test/test.lua10
1 files changed, 10 insertions, 0 deletions
diff --git a/test/test.lua b/test/test.lua
index 943aaa1..63db0bf 100644
--- a/test/test.lua
+++ b/test/test.lua
@@ -344,6 +344,11 @@ end
function torchtest.max() -- torch.max([resval, resind,] x [,dim])
+ -- TH_TENSOR_BASE
+ local m1 = torch.Tensor(8,2):fill(3):select(2, 1)
+ local resval, resind = torch.max(m1, 1)
+ mytester:assert(resind[1] == 1)
+
-- torch.max( x )
-- contiguous
local m1 = torch.randn(100,100)
@@ -480,6 +485,11 @@ function torchtest.min() -- torch.min([resval, resind,] x [,dim])
local res1val = torch.min(m1)
mytester:assert(res1val ~= res1val, 'error in torch.min - NaNs')
end
+
+ -- TH_TENSOR_BASE
+ local m1 = torch.Tensor(4):fill(3)
+ local resval, resind = torch.min(m1, 1)
+ mytester:assert(resind[1] == 1)
end
function torchtest.cmax()