public float[,,,] GetConv2DWeights(string name, int width, int height, int channel, int units)
{
if (name is null)
{
throw new ArgumentNullException(nameof(name));
}
NeuralNetworkAPI.GetDataSet(H5GroupIdModelWeights, $"{name}/{name}/kernel:0", out float[,,,] weights, width, height, channel, units);
return(weights);
}
public float[,] GetDenseWeights(string name, int units, int inputShape)
{
if (name is null)
{
throw new ArgumentNullException(nameof(name));
}
NeuralNetworkAPI.GetDataSet(H5GroupIdModelWeights, $"{name}/{name}/kernel:0", out float[,] weights, units, inputShape);
return(weights);
}
public float[] GetBiases(string name, int units)
{
if (name is null)
{
throw new ArgumentNullException(nameof(name));
}
ObjectInfo objectInfo = null;
try {
objectInfo = H5G.getObjectInfo(H5GroupIdModelWeights, $"{name}/{name}/bias:0", true);
} catch {
}
if (objectInfo == null)
{
return(new float[units]);
}
NeuralNetworkAPI.GetDataSet(H5GroupIdModelWeights, $"{name}/{name}/bias:0", out float[] biases, units);
return(biases);
}
public float[] GetValues(string name, string key, int length)
{
NeuralNetworkAPI.GetDataSet(H5GroupIdModelWeights, $"{name}/{name}/{key}:0", out float[] values, length);
return(values);
}
