def read_input(filename): with open(filename, 'r') as file: opcode = int(file.readline().strip()) data_type = int(file.readline().strip()) dim1 = tuple(map(int, file ...

The results are due to how the code is ran. In plain python, the math is done through the CPU. Although powerful, the CPU is not quite optimized for large scale matrix dot product multiplication.

The forward pass in a neural network can be significantly accelerated using nvmath-python. By executing the RELU_BIAS epilog, users can perform matrix multiplication, add biases, and apply ReLU ...

The forward pass in a neural network can be significantly accelerated using nvmath-python. By executing the RELU_BIAS epilog, users can perform matrix multiplication, add biases, and apply ReLU ...