func TestDeriv(t *testing.T) {
for i, test := range netIniters {
for _, nSamples := range nSampleSlice {
n := testNets[i]
inputs := regtest.RandomMat(nSamples, test.inputDim, rand.NormFloat64)
trueOutputs := regtest.RandomMat(nSamples, test.outputDim, rand.NormFloat64)
regtest.TestDeriv(t, n, inputs, trueOutputs, test.name)
}
}
}
func TestPublicPredictAndBatch(t *testing.T) {
for i, test := range netIniters {
for _, nSamples := range nSampleSlice {
n := testNets[i]
inputs := regtest.RandomMat(nSamples, test.inputDim, rand.NormFloat64)
trueOutputs := regtest.RandomMat(nSamples, test.outputDim, rand.NormFloat64)
for j := 0; j < nSamples; j++ {
tmp1, tmp2 := newPredictMemory(n.neurons)
predict(inputs.RowView(j), n.neurons, n.parameters, tmp1, tmp2, trueOutputs.RowView(j))
//predict(inputs.RowView(j), s.features, s.b, s.featureWeights, trueOutputs.RowView(j))
}
regtest.TestPredictAndBatch(t, n, inputs, trueOutputs, test.name)
}
}
}
