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Implement functions to perform both matrix multiplication and element-wise multiplication on tensors.
PyTorch supports two types of multiplication that behave very differently:
Understanding the difference is crucial for neural network operations.
Write two functions:
Each function should return a tensor.
a=[[1, 2], [3, 4]], b=[[5, 6], [7, 8]]
{"matmul": [[19, 22], [43, 50]], "elementwise": [[5, 12], [21, 32]]}Matrix multiplication follows linear algebra rules, element-wise multiplies corresponding elements