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{
    "swiglu": {
        "seed": "./seeds/swiglu.yaml",
        "cases": {
            "2": {
                "values": {
                    "K": 1024,
                    "M": 4096,
                    "N": 3072
                },
                "impls": [
                    {
                        "task": "./reference/swiglu_M4096_N3072_K1024_numpy_2.py",
                        "kernel": "./kernels/swiglu_M4096_N3072_K1024_0.py"
                    }
                ]
            }
        }
    },
    "matmul_add_rmsnorm": {
        "seed": "./seeds/matmul_add_rmsnorm.yaml",
        "cases": {
            "1": {
                "values": {
                    "K": 2048,
                    "M": 4096,
                    "N": 2048
                },
                "impls": [
                    {
                        "task": "./reference/matmul_add_rmsnorm_M4096_N2048_K2048_numpy_1.py",
                        "kernel": "./kernels/matmul_add_rmsnorm_M4096_N2048_K2048_0.py"
                    }
                ]
            }
        }
    },
    "add_rmsnorm_matmul": {
        "seed": "./seeds/add_rmsnorm_matmul.yaml",
        "cases": {
            "2": {
                "values": {
                    "K": 1024,
                    "M": 4096,
                    "N": 2048
                },
                "impls": [
                    {
                        "task": "./reference/add_rmsnorm_matmul_M4096_N2048_K1024_numpy_1.py",
                        "kernel": "./kernels/add_rmsnorm_matmul_M4096_N2048_K1024_0.py"
                    }
                ]
            }
        }
    },
    "matmul": {
        "seed": "./seeds/matmul.yaml",
        "cases": {
            "3": {
                "values": {
                    "K": 5120,
                    "M": 4096,
                    "N": 12288
                },
                "impls": [
                    {
                        "task": "./reference/matmul_M4096_N12288_K5120_numpy_2.py",
                        "kernel": "./kernels/matmul_M4096_N12288_K5120_0.py"
                    }
                ]
            }
        }
    },
    "gqa_full": {
        "seed": "./seeds/gqa_full.yaml",
        "cases": {
            "0": {
                "values": {
                    "B": 1,
                    "D": 128,
                    "KH": 8,
                    "N": 4096,
                    "QH": 16
                },
                "impls": [
                    {
                        "task": "./reference/gqa_full_B1_N4096_QH16_KH8_D128_numpy_2.py",
                        "kernel": "./kernels/gqa_full_B1_N4096_QH16_KH8_D128_0.py"
                    }
                ]
            }
        }
    },
    "rmsnorm_matmul": {
        "seed": "./seeds/rmsnorm_matmul.yaml",
        "cases": {
            "2": {
                "values": {
                    "K": 1024,
                    "M": 4096,
                    "N": 2048
                },
                "impls": [
                    {
                        "task": "./reference/rmsnorm_matmul_M4096_N2048_K1024_numpy_1.py",
                        "kernel": "./kernels/rmsnorm_matmul_M4096_N2048_K1024_0.py"
                    }
                ]
            }
        }
    },
    "rope_single_freq_apply": {
        "seed": "./seeds/rope_single_freq_apply.yaml",
        "cases": {
            "1": {
                "values": {
                    "B": 1,
                    "H": 64,
                    "N": 4096,
                    "D": 128
                },
                "impls": [
                    {
                        "task": "./reference/rope_single_freq_apply_B1_H64_N4096_D128_numpy_1.py",
                        "kernel": "./kernels/rope_single_freq_apply_B1_H64_N4096_D128_0.py"
                    }
                ]
            }
        }
    },
    "bmm": {
        "seed": "./seeds/bmm.yaml",
        "cases": {
            "2": {
                "values": {
                    "B": 16,
                    "K": 64,
                    "M": 4096,
                    "N": 4096
                },
                "impls": [
                    {
                        "task": "./reference/bmm_B16_M4096_K64_N4096_numpy_1.py",
                        "kernel": "./kernels/bmm_B16_M4096_K64_N4096_0.py"
                    }
                ]
            }
        }
    },
    "bmm_softmax": {
        "seed": "./seeds/bmm_softmax.yaml",
        "cases": {
            "2": {
                "values": {
                    "B": 16,
                    "K": 64,
                    "M": 4096,
                    "N": 4096
                },
                "impls": [
                    {
                        "task": "./reference/bmm_softmax_B16_K64_M4096_N4096_numpy_1.py",
                        "kernel": "./kernels/bmm_softmax_B16_K64_M4096_N4096_0.py"
                    }
                ]
            }
        }
    },
    "transpose_matmul": {
        "seed": "./seeds/transpose_matmul.yaml",
        "cases": {
            "2": {
                "values": {
                    "K": 2048,
                    "M": 4096,
                    "N": 10944
                },
                "impls": [
                    {
                        "task": "./reference/transpose_matmul_M4096_K2048_N10944_numpy_1.py",
                        "kernel": "./kernels/transpose_matmul_M4096_K2048_N10944_0.py"
                    }
                ]
            }
        }
    },
    "lora": {
        "seed": "./seeds/lora.yaml",
        "cases": {
            "2": {
                "values": {
                    "K": 5120,
                    "M": 4096,
                    "N": 12288,
                    "R": 128
                },
                "impls": [
                    {
                        "task": "./reference/lora_M4096_N12288_K5120_R128_numpy_1.py",
                        "kernel": "./kernels/lora_M4096_N12288_K5120_R128_0.py"
                    }
                ]
            }
        }
    },
    "adamw": {
        "seed": "./seeds/adamw.yaml",
        "cases": {
            "2": {
                "values": {
                    "M": 10944,
                    "N": 2048
                },
                "impls": [
                    {
                        "task": "./reference/adamw_M10944_N2048_numpy_1.py",
                        "kernel": "./kernels/adamw_M10944_N2048_0.py"
                    }
                ]
            }
        }
    },
    "silu": {
        "seed": "./seeds/silu.yaml",
        "cases": {
            "2": {
                "values": {
                    "M": 4096,
                    "N": 7168
                },
                "impls": [
                    {
                        "task": "./reference/silu_M4096_N7168_numpy_0.py",
                        "kernel": "./kernels/silu_M4096_N7168_0.py"
                    }
                ]
            }
        }
    },
    "mamba": {
        "seed": "./seeds/mamba.yaml",
        "cases": {
            "2": {
                "values": {
                    "C": 256,
                    "M": 7168,
                    "S": 16
                },
                "impls": [
                    {
                        "task": "./reference/mamba_M7168_C256_S16_numpy_1.py",
                        "kernel": "./kernels/mamba_M7168_C256_S16_0.py"
                    }
                ]
            }
        }
    }
}