public void ElementwiseSubtractDataOnDifferent()
{
int[] shape1 = { 2, 3 };
var tensor1 = new FloatTensor(shape1, true);
int[] shape2 = { 2, 3 };
var tensor2 = new FloatTensor(shape2, false);
Assert.That(() => tensor1.ElementwiseSubtract(tensor2),
Throws.TypeOf <InvalidOperationException>());
}
public void ElementwiseSubtractUnequalShapes()
{
float[] data1 = { 1, 2, 3, 4, 5, 6 };
int[] shape1 = { 2, 3 };
var tensor1 = new FloatTensor(data1, shape1);
float[] data2 = { 1, 2, 3, 4, 5, 6 };
int[] shape2 = { 3, 2 };
var tensor2 = new FloatTensor(data2, shape2);
Assert.That(() => tensor1.ElementwiseSubtract(tensor2),
Throws.TypeOf <InvalidOperationException>());
}
public void ElementwiseSubtract()
{
float[] data1 = { float.MinValue, -10, -1.5f, 0, 1.5f, 10, 20, float.MaxValue };
int[] shape1 = { 2, 4 };
var tensor1 = new FloatTensor(data1, shape1);
float[] data2 = { float.MaxValue, 10, 1.5f, 0, -1.5f, -10, -20, float.MinValue };
int[] shape2 = { 2, 4 };
var tensor2 = new FloatTensor(data2, shape2);
var tensor = new FloatTensor(data1, shape1);
tensor.ElementwiseSubtract(tensor2);
for (int i = 0; i < tensor.Size; i++)
{
float current = tensor1.Data [i] - tensor2.Data [i];
Assert.AreEqual(current, tensor.Data [i]);
}
}
public string processMessage(string json_message)
{
//Debug.LogFormat("<color=green>SyftController.processMessage {0}</color>", json_message);
Command msgObj = JsonUtility.FromJson <Command>(json_message);
if (msgObj.functionCall == "createTensor")
{
FloatTensor tensor = new FloatTensor(msgObj.data, msgObj.shape);
tensor.Shader = shader;
tensors.Add(tensor.Id, tensor);
Debug.LogFormat("<color=magenta>createTensor:</color> {0}", string.Join(", ", tensor.Data));
string id = tensor.Id.ToString();
return(id);
}
else
{
if (msgObj.objectType == "tensor")
{
//Below check needs additions/fix.
bool success = true;
if (msgObj.objectIndex > FloatTensor.CreatedObjectCount)
{
return("Invalid objectIndex: " + msgObj.objectIndex);
}
FloatTensor tensor = tensors[msgObj.objectIndex];
if (msgObj.functionCall == "init_add_matrix_multiply")
{
FloatTensor tensor_1 = tensors [msgObj.tensorIndexParams [0]];
tensor.ElementwiseMultiplication(tensor_1);
}
else if (msgObj.functionCall == "inline_elementwise_subtract")
{
FloatTensor tensor_1 = tensors [msgObj.tensorIndexParams [0]];
tensor.ElementwiseSubtract(tensor_1);
}
else if (msgObj.functionCall == "multiply_derivative")
{
FloatTensor tensor_1 = tensors [msgObj.tensorIndexParams [0]];
tensor.MultiplyDerivative(tensor_1);
}
else if (msgObj.functionCall == "add_matrix_multiply")
{
FloatTensor tensor_1 = tensors [msgObj.tensorIndexParams [0]];
FloatTensor tensor_2 = tensors [msgObj.tensorIndexParams [1]];
tensor.AddMatrixMultiply(tensor_1, tensor_2);
}
else if (msgObj.functionCall == "print")
{
return(tensor.Print());
}
else if (msgObj.functionCall == "abs")
{
// calls the function on our tensor object
tensor.Abs();
}
else if (msgObj.functionCall == "neg")
{
tensor.Neg();
}
else if (msgObj.functionCall == "add")
{
FloatTensor tensor_1 = tensors [msgObj.tensorIndexParams [0]];
FloatTensor output = tensor_1.Add(tensor_1);
tensors.Add(output.Id, output);
string id = output.Id.ToString();
return(id);
}
else if (msgObj.functionCall == "scalar_multiply")
{
//get the scalar, cast it and multiply
tensor.ScalarMultiplication((float)msgObj.tensorIndexParams[0]);
}
else
{
success = false;
}
if (success)
{
return(msgObj.functionCall + ": OK");
}
}
}
return("SyftController.processMessage: Command not found.");
}