private void UpdateWeightsTensor(WeightTensor m, int batchSize, float step_size, float regc, int iter)
{
try
{
//float clip_coef = 1.0f;
//float normVal = Ops.NormAll(m.TGradient, 2.0f);
//float clip_coef = 0.5f / (normVal + 1e-6f);
//if (clip_coef > 1.0f)
//{
// clip_coef = 1.0f;
//}
Ops.Adam(m.TWeight, m.TGradient, m_cacheName2V[m.Name], m_cacheName2M[m.Name], batchSize, step_size, m_clipval, regc, m_beta2, m_beta1, iter, m_smoothEps);
}
catch (Exception err)
{
Logger.WriteLine(Logger.Level.err, $"Exception: '{err.Message}'");
Logger.WriteLine(Logger.Level.err, $"Call stack: '{err.StackTrace}'");
throw;
}
}
private void UpdateWeightsTensor(WeightTensor m, int batchSize, float step_size, float clipval, float regc, int iter)
{
// Ops.RMSProp(m.TWeight, m.TGradient, m.TV, batchSize, step_size, clipval, regc, decay_rate, smooth_eps);
Ops.Adam(m.TWeight, m.TGradient, m_cacheName2V[m.Name], m_cacheName2M[m.Name], batchSize, step_size, clipval, regc, m_beta2, m_beta1, iter, m_smoothEps);
}
