Datasets:
File size: 856 Bytes
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{
"id": "basic_reduce",
"description": "Given array x, compute mean of each row.",
"input": "data/x.npy",
"output": "basic_reduce.npy"
},
{
"id": "map_square",
"description": "Apply square function to each element using vectorization.",
"input": "data/x.npy",
"output": "map_square.npy"
},
{
"id": "grad_logistic",
"description": "Compute gradient of logistic loss.",
"input": "data/logistic.npz",
"output": "grad_logistic.npy"
},
{
"id": "scan_rnn",
"description": "Implement RNN forward pass using scan.",
"input": "data/seq.npz",
"output": "scan_rnn.npy"
},
{
"id": "jit_mlp",
"description": "Implement and JIT compile a 2-layer MLP.",
"input": "data/mlp.npz",
"output": "jit_mlp.npy"
}
]
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