From 507c3a35e3bfbba2af102fbead0c2fb41e9db9b0 Mon Sep 17 00:00:00 2001
From: soumith <soumith@gmail.com>
Date: Thu, 5 Nov 2015 17:44:15 -0500
Subject: integrating changes from master

---
 test/test.lua | 67 +++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
 1 file changed, 67 insertions(+)

(limited to 'test')

diff --git a/test/test.lua b/test/test.lua
index 0a2fb01..6dbd0d8 100644
--- a/test/test.lua
+++ b/test/test.lua
@@ -730,6 +730,73 @@ function cudnntest.LogSoftMax_batch()
                      precision_backward, 'error on state (backward) ')
 end
 
+function cudnntest.SpatialLogSoftMax()
+   -- batch
+   local numLabels = math.random(5,10)
+   local h = math.random(5,10)
+   local w = math.random(5,10)
+   local bsz = math.random(3, 7)
+   local input = torch.zeros(bsz, numLabels, h, w):normal():cuda()
+   local target = torch.zeros(bsz, numLabels, h, w):normal():cuda()
+
+   local cri = cudnn.SpatialLogSoftMax():cuda()
+   local gcri = nn.LogSoftMax():cuda()
+
+   local op = cri:forward(input, target)
+   local gi = cri:backward(input, target)
+
+   local gop = op:clone():zero()
+   local ggi = gi:clone():zero()
+
+   for i=1,h do
+      for j=1,w do
+         local i1 = input[{{}, {}, {i}, {j}}]:contiguous():squeeze()
+         local t1 = target[{{}, {}, {i}, {j}}]:contiguous():squeeze()
+         local gop1 = gcri:forward(i1, t1)
+         local ggi1 = gcri:backward(i1, t1)
+         gop[{{}, {}, {i}, {j}}]:copy(gop1)
+         ggi[{{}, {}, {i}, {j}}]:copy(ggi1)
+      end
+   end
+   local err = (gi - ggi):abs():max()
+   mytester:assertlt(err, precision_backward, 'error in difference between central difference and :backward')
+   local err = (op - gop):abs():max()
+   mytester:assertlt(err, precision_backward, 'error in difference between central difference and :backward')
+end
+
+function cudnntest.SpatialCrossEntropyCriterion()
+   -- batch
+   local numLabels = math.random(5,10)
+   local h = math.random(5,10)
+   local w = math.random(5,10)
+   local bsz = math.random(3, 7)
+   local input = torch.zeros(bsz, numLabels, h, w):normal():cuda()
+   local target = torch.Tensor(bsz, h, w):random(1, numLabels):cuda()
+
+   local cri = cudnn.SpatialCrossEntropyCriterion():cuda()
+
+   local gcri = nn.CrossEntropyCriterion():cuda()
+
+   local op = cri:forward(input, target)
+   local gi = cri:backward(input, target)
+
+   local ggi = gi:clone():zero()
+
+   for i=1,h do
+      for j=1,w do
+         local i1 = input[{{}, {}, {i}, {j}}]:contiguous():squeeze()
+         local t1 = target[{{}, {i}, {j}}]:contiguous():squeeze()
+         local gop1 = gcri:forward(i1, t1)
+         local ggi1 = gcri:backward(i1, t1)
+         ggi[{{}, {}, {i}, {j}}]:copy(ggi1)
+      end
+   end
+   local err = (gi - ggi):abs():max()
+   mytester:assertlt(err, precision_backward, 'error in difference between central difference and :backward')
+
+end
+
+
 function cudnntest.functional_bias2D()
    local bs = math.random(1,32)
    local from = math.random(1,32)
-- 
cgit v1.2.3