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Fix order of conv layers in ResNet script #190

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Fix order of conv layers in ResNet script #190

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4 changes: 2 additions & 2 deletions scripts/networks/testResnet.ssc
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Expand Up @@ -92,11 +92,11 @@ def conv3x3Block(in:Node, dim:Int, stride:Int):Node = {

// dim is the internal (bottleneck) depth. Input and output should have depth 4x dim. Image dimensions unchanged.
def convBottleNeckBlock(in:Node, dim:Int, stride:Int, firstBlock:Boolean):Node = {
val convx_1 = conv(in)(w=1,h=1,pad=0,nch=dim,hasBias=opts.hasBias);
val convx_1 = conv(in)(w=1,h=1,pad=0,nch=dim,hasBias=opts.hasBias,stride = stride);
val normx_1 = batchNormScale(convx_1)(normMode=bnMode,inplace=in_place);
val relux_1 = relu(normx_1)(in_place);

val convx_2 = conv(relux_1)(w=3,h=3,pad=1,nch=dim,hasBias=opts.hasBias,stride = stride);
val convx_2 = conv(relux_1)(w=3,h=3,pad=1,nch=dim,hasBias=opts.hasBias);
val normx_2 = batchNormScale(convx_2)(normMode=bnMode,inplace=in_place);
val relux_2 = relu(normx_2)(in_place);

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