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[Public release 26/04] Introducing Mega MoE, FP4 Indexer and other features/fixes (#304)

Browse Source 
* Merge with private repo

* Update README

* Update README

* Update README

* Add PyTorch requirements

* Fix sync scopes for MQA logits (#256)

* Update README
This commit is contained in:
Chenggang Zhao
2026-04-17 09:45:14 +08:00
committed by GitHub
parent d30fc36c8f
commit 7f2a703ed5
109 changed files with 12101 additions and 3219 deletions
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14
csrc/apis/hyperconnection.hpp
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@@ -24,16 +24,16 @@ static void tf32_hc_prenorm_gemm(const torch::Tensor& a,
DG_HOST_ASSERT(sqr_sum.is_contiguous());
// Type and shape checks
const auto& [m, k ] = get_shape<2>(a);
const auto& [n, k_] = get_shape<2>(b);
const auto [m, k ] = get_shape<2>(a);
const auto [n, k_] = get_shape<2>(b);
if (num_splits.has_value()) {
const auto& [num_splits_, m_, n_] = get_shape<3>(d);
const auto& [num_splits__, m__] = get_shape<2>(sqr_sum);
const auto [num_splits_, m_, n_] = get_shape<3>(d);
const auto [num_splits__, m__] = get_shape<2>(sqr_sum);
DG_HOST_ASSERT(num_splits.value() == num_splits_ and num_splits.value() == num_splits__ and num_splits.value() >= 1);
DG_HOST_ASSERT(m == m_ and m == m__ and n == n_ and k == k_);
} else {
const auto& [m_, n_] = get_shape<2>(d);
const auto& [m__] = get_shape<1>(sqr_sum);
const auto [m_, n_] = get_shape<2>(d);
const auto [m__] = get_shape<1>(sqr_sum);
DG_HOST_ASSERT(m == m_ and m == m__ and n == n_ and k == k_);
}
DG_HOST_ASSERT(n > 0 and k > 0);
@@ -47,7 +47,7 @@ static void tf32_hc_prenorm_gemm(const torch::Tensor& a,
return;
// Dispatch into different implements
const auto& arch_major = device_runtime->get_arch_major();
const auto arch_major = device_runtime->get_arch_major();
if (arch_major == 9) {
sm90_tf32_hc_prenorm_gemm(a, b, d, sqr_sum, m, n, k, num_splits.has_value() ? num_splits.value() : 1);
} else if (arch_major == 10) {