fixed test

Source/CNTK/BrainScript/CNTKCoreLib/CNTK.core.bs

@@ -832,7 +832,7 @@ Loop = [
 Parameters =
 [
     # TODO: These all have randomSeed set to 1!
-    WeightParam (outputDim, inputDim) = Parameter (outputDim, inputDim, init='uniform', initValueScale=1, initOnCPUOnly=true, randomSeed=1)
+    WeightParam (outputDim, inputDim) = ParameterTensor ((outputDim : inputDim), init='uniform', initValueScale=1, initOnCPUOnly=true, randomSeed=1)
     DiagWeightParam (outputDim)       = ParameterTensor ((outputDim), init='uniform', initValueScale=1, initOnCPUOnly=true, randomSeed=1) # meant to be applied elementwise
     BiasParam (dim)                   = ParameterTensor ((dim), initValue=0.0)
     ScalarParam()                     = BiasParam (1)

Tests/EndToEndTests/Speech/LSTM/cntk.cntk

@@ -90,8 +90,8 @@ speechTrain = [
                     // parameter macros--these carry their own weight matrices
                     B() = BS.Parameters.BiasParam (cellDim)
 
-                    W(v) = BS.Parameters.WeightParam (cellDim, Inferred/*inputDim*/)  * Stabilize (v, enabled=enableSelfStabilization) // input-to-hidden
-                    H(h) = BS.Parameters.WeightParam (cellDim, Inferred/*outputDim*/) * Stabilize (h, enabled=enableSelfStabilization) // hidden-to-hidden
+                    W(v) = BS.Parameters.WeightParam (cellDim, Inferred)  * Stabilize (v, enabled=enableSelfStabilization) // input-to-hidden
+                    H(h) = BS.Parameters.WeightParam (cellDim, outputDim) * Stabilize (h, enabled=enableSelfStabilization) // hidden-to-hidden
                     C(c) = BS.Parameters.DiagWeightParam (cellDim)       .* Stabilize (c, enabled=enableSelfStabilization) // cell-to-hiddden (note: applied elementwise)
 
                     // note: the W(x) here are all different, they all come with their own set of weights; same for H(dh), C(dc), and B()