mlp.json

{
    "benchmark": {
        "name": "Multi-layer Perceptron",
        "short_name": "mlp",
        "relative_path": "deep_learning/mlp",
        "module_name": "mlp",
        "func_name": "mlp",
        "kind": "microapp",
        "domain": "Learning",
        "dwarf": "dense_linear_algebra",
        "parameters": {
            "S": { "C_in": 3, "N": 8, "S0": 30000, "S1": 2000, "S2": 2000 },
            "M": { "C_in": 3, "N": 8, "S0": 30000, "S1": 10000, "S2": 10000 },
            "L": { "C_in": 3, "N": 8, "S0": 30000, "S1": 30000, "S2": 30000 },
            "paper": { "C_in": 3, "N": 8, "S0": 30000, "S1": 10000, "S2": 1000 }
        },
        "init": {
            "func_name": "initialize",
            "input_args": ["C_in", "N", "S0", "S1", "S2"],
            "output_args": ["input", "w1", "b1", "w2", "b2", "w3", "b3"]
        },
        "input_args": ["input", "w1", "b1", "w2", "b2", "w3", "b3"],
        "array_args": ["input", "w1", "b1", "w2", "b2", "w3", "b3"],
        "output_args": []
    }
}