scaleMatrix function
Implementation
Tensor<Matrix> scaleMatrix(Tensor<Matrix> m, double s) {
int numRows = m.value.length;
int numCols = m.value[0].length;
Matrix outValue = [];
for (int i = 0; i < numRows; i++) {
Vector row = [];
for (int j = 0; j < numCols; j++) {
row.add(m.value[i][j] * s);
}
outValue.add(row);
}
Tensor<Matrix> out = Tensor<Matrix>(outValue);
out.creator = Node(
[m],
() {
for (int i = 0; i < numRows; i++) {
for (int j = 0; j < numCols; j++) {
m.grad[i][j] += out.grad[i][j] * s;
}
}
},
opName: 'scale_matrix', // <-- Renamed for clarity
cost: numRows * numCols,
extraParams: {'s': s}, // <-- Storing the non-Tensor parameter
);
return out;
}