public override void Validate(MyValidator validator)
{
switch (Operation)
{
case MyJoinOperation.StackInputs:
return;
case MyJoinOperation.DistanceSquared:
case MyJoinOperation.CosineDistance:
case MyJoinOperation.DotProduct:
validator.AssertError(InputBranches == 2, this, "Two operands are needed for distance measures");
break;
case MyJoinOperation.MatMultiplication:
bool is_correct = Input0ColHint == (Input1Count / Input1ColHint);
// if (Input1ColHint==1) /// BrainSim. bug for Nx1 vector, column hint is one, although it should be N...
// is_correct = Input0ColHint == Input1Count;
validator.AssertError(is_correct, this, "# of columns in Mat1 needs to correspond to # of rows in Mat2!");
break;
case MyJoinOperation.AddToIdcs:
case MyJoinOperation.AddToIdcs_Normalize:
validator.AssertError(InputBranches >= 3, this, "Must provide the Target vector, Source vector and the idcs as the first three inputs");
validator.AssertError(GetInputSize(1) == GetInputSize(2), this, "Dimensions of the Source vector and idcs must be the same");
validator.AssertError(GetInputSize(0) >= GetInputSize(1), this, "Target vector must be bigger than Source vector");
return;
case MyJoinOperation.GatherFromIdcs:
validator.AssertError(InputBranches >= 2, this, "Must provide the Target vector and the idcs as the first two inputs");
validator.AssertError(GetInputSize(0) >= GetInputSize(1), this, "Target vector must be bigger than the idcs");
return;
default:
validator.AssertError(InputBranches >= 2, this, "Operation needs at least two operands");
break;
}
TensorDimensions firstInputDimensions = null;
bool firstInputDimensionsRankOne = false;
for (int i = 0; i < InputBranches; i++)
{
MyMemoryBlock <float> ai = GetInput(i);
if (ai == null)
{
validator.AddError(this, $"Missing input {i}.");
return;
}
if (InputBranches > 2) // Two inputs are allowed to be of variable size
{
validator.AssertError(ai.Count == OutputSize, this, $"Operand #{i} size differs from output size");
}
if (firstInputDimensions == null)
{
firstInputDimensions = ai.Dims;
firstInputDimensionsRankOne = IsRankOne(firstInputDimensions);
}
var bothDimensionsRankOne = firstInputDimensionsRankOne && IsRankOne(ai.Dims);
if (firstInputDimensions.Rank != ai.Dims.Rank && !bothDimensionsRankOne)
{
// TODO(Premek): replace warning with error when the check gets smart enough
validator.AddWarning(this, $"Incompatible input ranks (input #{i}).");
}
}
}
