Zoomable circles (number of contributors per file):
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Files with only one contributor are shown as grey.
Contributors
Recent Contributors (3)
Committed in past 6 months (a rookie = the first commit in past year)
Past 30 days (2):
122071158+bucket-xv@users.noreply.github.com
xch@deepseek.com
No contributors in past 31 to 90 days.
Past 91 to 180 days (1):
tianr22@deepseek.com
Historical Contributors (0)
Last contributors more than 6 months ago
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Chenhao Xu <122071158+bucket-xv@users.noreply.github.com>
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Chenhao Xu <xch@deepseek.com>
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2 contributors (2 commits):
| # | Contributor |
First Commit |
Latest Commit |
Commits Count |
Line Churn |
File Updates (per extension) |
|---|---|---|---|---|---|---|
| 1. | Chenhao Xu <122071158+bucket-xv@users.noreply.github.com> |
2026-04-23 | 2026-09-30 | 1 (50%) | +23K / -11K | py (226), gitignore (1), md (1), toml (1), yaml (1) |
| 2. | Chenhao Xu <xch@deepseek.com> |
2026-09-30 | 2026-09-30 | 1 (50%) | +23K / -11K | py (226), gitignore (1), md (1), toml (1), yaml (1) |
Contributor Dependencies
A contributor dependency is detected if two contributors have changed the same files in the past 30 days.
Contributor Dependencies via Shared Files
contributor dependencies 2D graph
The number on lines shows the number of same files that both persons changed in past 30 days.
flowchart TB
n0["122071158+bucket-xv@users.noreply.github.com"]
n1["xch@deepseek.com"]
n0 ---|"230"| n1
classDef default fill:#808080,stroke:#ffffff,color:#000000;
classDef highlighted fill:#00b2ee,stroke:#ffffff,color:#000000;
linkStyle 0 stroke:#00688bFF,stroke-width:10px
Download:
Mermaid (.mmd)
(open online Mermaid editor)
- open 2D force graph
- open 3D force graph
- open 2D force graph (including all files)
- open 2D force graph (including only shared files)
- open 3D force graph (including all files)
- open 3D force graph (including only shared files)
Contributor 1
Contributor 2
# shared files
1.
Chenhao Xu <122071158+bucket-xv@users.noreply.github.com>
Chenhao Xu <xch@deepseek.com>
230 shared files
tile_kernels/quant/swiglu_forward_cuda.py
tile_kernels/mhc/pre_big_fuse_asc.py
tile_kernels/transform/rope_cuda.py
tile_kernels/quant/per_token_cast_to_e5m6_kernel.py
tile_kernels/modeling/mhc/ops/expand.py
tile_kernels/engram/engram_hash_kernel.py
tile_kernels/mhc/sinkhorn_cuda.py
tile_kernels/moe/topk_sum_and_topk_group_idx_kernel.py
tile_kernels/mhc/expand_cuda.py
tile_kernels/modeling/mhc/ops/post.py
tile_kernels/quant/per_token_cast_and_cast_back_kernel.py
tile_kernels/mhc/pre_split_mixes_kernel.py
tile_kernels/mhc/pre_big_fuse_cuda.py
tile_kernels/quant/swiglu_forward_and_per_channel_cast_and_transpose_kernel.py
tile_kernels/quant/batched_transpose_weight_sf_asc.py
tile_kernels/testing/quant.py
tile_kernels/moe/scoring.py
tile_kernels/testing/pytest/common.py
tests/mhc/test_head_compute_mix.py
tile_kernels/engram/engram_fused_weight_asc.py
tile_kernels/quant/norm_backward_asc.py
tile_kernels/rand/seed.py
tests/quant/test_per_token_cast.py
tests/mhc/test_multilayer_recompute.py
tile_kernels/quant/per_token_cast_asc.py
tile_kernels/quant/norm_backward_kernel.py
tests/engram/test_engram_gate_fwd.py
tests/quant/test_norm_backward.py
tile_kernels/modeling/mhc/ops/pre_apply_mix.py
tile_kernels/testing/pytest/tilelang_warning.py
tile_kernels/quant/per_block_cast_lossless_kernel.py
tile_kernels/engram/engram_grad_w_reduce_cuda.py
tile_kernels/quant/common.py
tests/engram/test_engram_fused_weight.py
tile_kernels/engram/engram_gate_fwd_asc.py
tile_kernels/quant/per_channel_cast_and_transpose_kernel.py
tile_kernels/quant/per_channel_cast_fused_kernel.py
tests/mhc/test_pre_big_fuse.py
tile_kernels/modeling/engram/__init__.py
tile_kernels/modeling/mhc/ops/pre_big_fuse.py
tests/moe/test_mask_indices_by_tp.py
tests/quant/test_per_channel_cast_fused.py
tile_kernels/engram/engram_fused_weight_cuda.py
tile_kernels/quant/per_block_cast_lossless_cuda.py
tile_kernels/transform/__init__.py
tests/moe/test_expand_to_fused.py
tile_kernels/modeling/mhc/ops/pre_split_mixes.py
tile_kernels/quant/per_block_cast_cuda.py
tile_kernels/moe/sqrt_softplus.py
tile_kernels/transform/rope_kernel.py
tests/moe/test_topk_gate.py
tests/quant/test_per_block_cast_lossless.py
tile_kernels/quant/swiglu_forward_and_per_token_cast_kernel.py
tile_kernels/testing/numeric.py
tests/quant/test_per_token_cast_and_cast_back.py
tile_kernels/quant/per_channel_cast_cuda.py
tile_kernels/config.py
tile_kernels/moe/aux_fi_kernel.py
tile_kernels/torch/cast.py
tile_kernels/mhc/norm_fn_cuda.py
tile_kernels/moe/get_fused_mapping_kernel.py
tile_kernels/mhc/pre_apply_mix_asc.py
tile_kernels/engram/engram_fused_weight_kernel.py
tests/mhc/test_sinkhorn.py
tile_kernels/mhc/pre_apply_mix_cuda.py
tile_kernels/modeling/mhc/functional.py
tests/transpose/test_transpose.py
tile_kernels/quant/norm_backward_cuda.py
tile_kernels/engram/engram_grad_w_reduce_asc.py
tile_kernels/testing/moe.py
tests/quant/test_swiglu_backward.py
tile_kernels/quant/cast_kernel.py
tile_kernels/quant/swiglu_backward_asc.py
tile_kernels/torch/moe.py
tile_kernels/engram/engram_gate_bwd_asc.py
tile_kernels/moe/normalize_weight_kernel.py
tile_kernels/quant/rstd.py
tile_kernels/modeling/engram/engram_gate.py
tile_kernels/quant/batched_transpose_weight_sf_cuda.py
tile_kernels/quant/norm_forward_asc.py
tile_kernels/moe/topk_gate_kernel.py
tile_kernels/quant/norm_forward_cuda.py
tile_kernels/engram/engram_hash_cuda.py
tile_kernels/engram/engram_gate_kernel.py
tile_kernels/modeling/__init__.py
tile_kernels/engram/engram_sinkhorn_kernel.py
.gitignore
tests/quant/test_swiglu_backward_and_per_token_cast.py
tile_kernels/mhc/post_asc.py
tile_kernels/rand/randn_kernel.py
tests/mhc/test_pre_split_mixes.py
tile_kernels/quant/per_token_cast_and_cast_back_cuda.py
tile_kernels/testing/pytest/gpu_mem.py
tile_kernels/quant/cast_back_cuda.py
tile_kernels/modeling/mhc/ops/norm_fn.py
tile_kernels/quant/norm_forward_kernel.py
tile_kernels/moe/mask_indices_by_tp_kernel.py
tile_kernels/mhc/pre_split_mixes_cuda.py
tile_kernels/modeling/mhc/ops/sinkhorn.py
tile_kernels/quant/per_token_cast_cuda.py
...
Most Connected Contributors
Contributor
# connections
# commits
1.
Chenhao Xu <122071158+bucket-xv@users.noreply.github.com>
1
1
2.
Chenhao Xu <xch@deepseek.com>
1
1
contributor dependencies 2D graph
The number on lines shows the number of same files that both persons changed in past 30 days.
flowchart TB
n0["122071158+bucket-xv@users.noreply.github.com"]
n1["xch@deepseek.com"]
n0 ---|"230"| n1
classDef default fill:#808080,stroke:#ffffff,color:#000000;
classDef highlighted fill:#00b2ee,stroke:#ffffff,color:#000000;
linkStyle 0 stroke:#00688bFF,stroke-width:10px
Download:
Mermaid (.mmd)
(open online Mermaid editor)
| Contributor 1 | Contributor 2 | # shared files | |
|---|---|---|---|
| 1. | Chenhao Xu <122071158+bucket-xv@users.noreply.github.com> |
Chenhao Xu <xch@deepseek.com> |
230 shared filestile_kernels/quant/swiglu_forward_cuda.py tile_kernels/mhc/pre_big_fuse_asc.py tile_kernels/transform/rope_cuda.py tile_kernels/quant/per_token_cast_to_e5m6_kernel.py tile_kernels/modeling/mhc/ops/expand.py tile_kernels/engram/engram_hash_kernel.py tile_kernels/mhc/sinkhorn_cuda.py tile_kernels/moe/topk_sum_and_topk_group_idx_kernel.py tile_kernels/mhc/expand_cuda.py tile_kernels/modeling/mhc/ops/post.py tile_kernels/quant/per_token_cast_and_cast_back_kernel.py tile_kernels/mhc/pre_split_mixes_kernel.py tile_kernels/mhc/pre_big_fuse_cuda.py tile_kernels/quant/swiglu_forward_and_per_channel_cast_and_transpose_kernel.py tile_kernels/quant/batched_transpose_weight_sf_asc.py tile_kernels/testing/quant.py tile_kernels/moe/scoring.py tile_kernels/testing/pytest/common.py tests/mhc/test_head_compute_mix.py tile_kernels/engram/engram_fused_weight_asc.py tile_kernels/quant/norm_backward_asc.py tile_kernels/rand/seed.py tests/quant/test_per_token_cast.py tests/mhc/test_multilayer_recompute.py tile_kernels/quant/per_token_cast_asc.py tile_kernels/quant/norm_backward_kernel.py tests/engram/test_engram_gate_fwd.py tests/quant/test_norm_backward.py tile_kernels/modeling/mhc/ops/pre_apply_mix.py tile_kernels/testing/pytest/tilelang_warning.py tile_kernels/quant/per_block_cast_lossless_kernel.py tile_kernels/engram/engram_grad_w_reduce_cuda.py tile_kernels/quant/common.py tests/engram/test_engram_fused_weight.py tile_kernels/engram/engram_gate_fwd_asc.py tile_kernels/quant/per_channel_cast_and_transpose_kernel.py tile_kernels/quant/per_channel_cast_fused_kernel.py tests/mhc/test_pre_big_fuse.py tile_kernels/modeling/engram/__init__.py tile_kernels/modeling/mhc/ops/pre_big_fuse.py tests/moe/test_mask_indices_by_tp.py tests/quant/test_per_channel_cast_fused.py tile_kernels/engram/engram_fused_weight_cuda.py tile_kernels/quant/per_block_cast_lossless_cuda.py tile_kernels/transform/__init__.py tests/moe/test_expand_to_fused.py tile_kernels/modeling/mhc/ops/pre_split_mixes.py tile_kernels/quant/per_block_cast_cuda.py tile_kernels/moe/sqrt_softplus.py tile_kernels/transform/rope_kernel.py tests/moe/test_topk_gate.py tests/quant/test_per_block_cast_lossless.py tile_kernels/quant/swiglu_forward_and_per_token_cast_kernel.py tile_kernels/testing/numeric.py tests/quant/test_per_token_cast_and_cast_back.py tile_kernels/quant/per_channel_cast_cuda.py tile_kernels/config.py tile_kernels/moe/aux_fi_kernel.py tile_kernels/torch/cast.py tile_kernels/mhc/norm_fn_cuda.py tile_kernels/moe/get_fused_mapping_kernel.py tile_kernels/mhc/pre_apply_mix_asc.py tile_kernels/engram/engram_fused_weight_kernel.py tests/mhc/test_sinkhorn.py tile_kernels/mhc/pre_apply_mix_cuda.py tile_kernels/modeling/mhc/functional.py tests/transpose/test_transpose.py tile_kernels/quant/norm_backward_cuda.py tile_kernels/engram/engram_grad_w_reduce_asc.py tile_kernels/testing/moe.py tests/quant/test_swiglu_backward.py tile_kernels/quant/cast_kernel.py tile_kernels/quant/swiglu_backward_asc.py tile_kernels/torch/moe.py tile_kernels/engram/engram_gate_bwd_asc.py tile_kernels/moe/normalize_weight_kernel.py tile_kernels/quant/rstd.py tile_kernels/modeling/engram/engram_gate.py tile_kernels/quant/batched_transpose_weight_sf_cuda.py tile_kernels/quant/norm_forward_asc.py tile_kernels/moe/topk_gate_kernel.py tile_kernels/quant/norm_forward_cuda.py tile_kernels/engram/engram_hash_cuda.py tile_kernels/engram/engram_gate_kernel.py tile_kernels/modeling/__init__.py tile_kernels/engram/engram_sinkhorn_kernel.py .gitignore tests/quant/test_swiglu_backward_and_per_token_cast.py tile_kernels/mhc/post_asc.py tile_kernels/rand/randn_kernel.py tests/mhc/test_pre_split_mixes.py tile_kernels/quant/per_token_cast_and_cast_back_cuda.py tile_kernels/testing/pytest/gpu_mem.py tile_kernels/quant/cast_back_cuda.py tile_kernels/modeling/mhc/ops/norm_fn.py tile_kernels/quant/norm_forward_kernel.py tile_kernels/moe/mask_indices_by_tp_kernel.py tile_kernels/mhc/pre_split_mixes_cuda.py tile_kernels/modeling/mhc/ops/sinkhorn.py tile_kernels/quant/per_token_cast_cuda.py ... |
| Contributor | # connections | # commits | |
|---|---|---|---|
| 1. | Chenhao Xu <122071158+bucket-xv@users.noreply.github.com> |
1 | 1 |
| 2. | Chenhao Xu <xch@deepseek.com> |
1 | 1 |
C-median: 1.0
A half of the contributors has more than 1.0 connections, and a half has less than this number.
C-mean: 1.0
An average number of connections a contributor has with other contributors.
C-index: 1.0
There are 1.0 contributors with 1.0 or more connections.
2 contributors (2 commits):
| # | Contributor |
First Commit |
Latest Commit |
Commits Count |
Line Churn |
File Updates (per extension) |
|---|---|---|---|---|---|---|
| 1. | Chenhao Xu <122071158+bucket-xv@users.noreply.github.com> |
2026-04-23 | 2026-09-30 | 1 (50%) | +23K / -11K | py (226), gitignore (1), md (1), toml (1), yaml (1) |
| 2. | Chenhao Xu <xch@deepseek.com> |
2026-09-30 | 2026-09-30 | 1 (50%) | +23K / -11K | py (226), gitignore (1), md (1), toml (1), yaml (1) |
Contributor Dependencies
A contributor dependency is detected if two contributors have changed the same files in the past 90 days.
Contributor Dependencies via Shared Files
contributor dependencies 2D graph
The number on lines shows the number of same files that both persons changed in past 90 days.
flowchart TB
n0["122071158+bucket-xv@users.noreply.github.com"]
n1["xch@deepseek.com"]
n0 ---|"230"| n1
classDef default fill:#808080,stroke:#ffffff,color:#000000;
classDef highlighted fill:#00b2ee,stroke:#ffffff,color:#000000;
linkStyle 0 stroke:#00688bFF,stroke-width:10px
Download:
Mermaid (.mmd)
(open online Mermaid editor)
- open 2D force graph
- open 3D force graph
- open 2D force graph (including all files)
- open 2D force graph (including only shared files)
- open 3D force graph (including all files)
- open 3D force graph (including only shared files)
Contributor 1
Contributor 2
# shared files
1.
Chenhao Xu <122071158+bucket-xv@users.noreply.github.com>
Chenhao Xu <xch@deepseek.com>
230 shared files
tile_kernels/quant/swiglu_forward_cuda.py
tile_kernels/mhc/pre_big_fuse_asc.py
tile_kernels/transform/rope_cuda.py
tile_kernels/quant/per_token_cast_to_e5m6_kernel.py
tile_kernels/modeling/mhc/ops/expand.py
tile_kernels/engram/engram_hash_kernel.py
tile_kernels/mhc/sinkhorn_cuda.py
tile_kernels/moe/topk_sum_and_topk_group_idx_kernel.py
tile_kernels/mhc/expand_cuda.py
tile_kernels/modeling/mhc/ops/post.py
tile_kernels/quant/per_token_cast_and_cast_back_kernel.py
tile_kernels/mhc/pre_split_mixes_kernel.py
tile_kernels/mhc/pre_big_fuse_cuda.py
tile_kernels/quant/swiglu_forward_and_per_channel_cast_and_transpose_kernel.py
tile_kernels/quant/batched_transpose_weight_sf_asc.py
tile_kernels/testing/quant.py
tile_kernels/moe/scoring.py
tile_kernels/testing/pytest/common.py
tests/mhc/test_head_compute_mix.py
tile_kernels/engram/engram_fused_weight_asc.py
tile_kernels/quant/norm_backward_asc.py
tile_kernels/rand/seed.py
tests/quant/test_per_token_cast.py
tests/mhc/test_multilayer_recompute.py
tile_kernels/quant/per_token_cast_asc.py
tile_kernels/quant/norm_backward_kernel.py
tests/engram/test_engram_gate_fwd.py
tests/quant/test_norm_backward.py
tile_kernels/modeling/mhc/ops/pre_apply_mix.py
tile_kernels/testing/pytest/tilelang_warning.py
tile_kernels/quant/per_block_cast_lossless_kernel.py
tile_kernels/engram/engram_grad_w_reduce_cuda.py
tile_kernels/quant/common.py
tests/engram/test_engram_fused_weight.py
tile_kernels/engram/engram_gate_fwd_asc.py
tile_kernels/quant/per_channel_cast_and_transpose_kernel.py
tile_kernels/quant/per_channel_cast_fused_kernel.py
tests/mhc/test_pre_big_fuse.py
tile_kernels/modeling/engram/__init__.py
tile_kernels/modeling/mhc/ops/pre_big_fuse.py
tests/moe/test_mask_indices_by_tp.py
tests/quant/test_per_channel_cast_fused.py
tile_kernels/engram/engram_fused_weight_cuda.py
tile_kernels/quant/per_block_cast_lossless_cuda.py
tile_kernels/transform/__init__.py
tests/moe/test_expand_to_fused.py
tile_kernels/modeling/mhc/ops/pre_split_mixes.py
tile_kernels/quant/per_block_cast_cuda.py
tile_kernels/moe/sqrt_softplus.py
tile_kernels/transform/rope_kernel.py
tests/moe/test_topk_gate.py
tests/quant/test_per_block_cast_lossless.py
tile_kernels/quant/swiglu_forward_and_per_token_cast_kernel.py
tile_kernels/testing/numeric.py
tests/quant/test_per_token_cast_and_cast_back.py
tile_kernels/quant/per_channel_cast_cuda.py
tile_kernels/config.py
tile_kernels/moe/aux_fi_kernel.py
tile_kernels/torch/cast.py
tile_kernels/mhc/norm_fn_cuda.py
tile_kernels/moe/get_fused_mapping_kernel.py
tile_kernels/mhc/pre_apply_mix_asc.py
tile_kernels/engram/engram_fused_weight_kernel.py
tests/mhc/test_sinkhorn.py
tile_kernels/mhc/pre_apply_mix_cuda.py
tile_kernels/modeling/mhc/functional.py
tests/transpose/test_transpose.py
tile_kernels/quant/norm_backward_cuda.py
tile_kernels/engram/engram_grad_w_reduce_asc.py
tile_kernels/testing/moe.py
tests/quant/test_swiglu_backward.py
tile_kernels/quant/cast_kernel.py
tile_kernels/quant/swiglu_backward_asc.py
tile_kernels/torch/moe.py
tile_kernels/engram/engram_gate_bwd_asc.py
tile_kernels/moe/normalize_weight_kernel.py
tile_kernels/quant/rstd.py
tile_kernels/modeling/engram/engram_gate.py
tile_kernels/quant/batched_transpose_weight_sf_cuda.py
tile_kernels/quant/norm_forward_asc.py
tile_kernels/moe/topk_gate_kernel.py
tile_kernels/quant/norm_forward_cuda.py
tile_kernels/engram/engram_hash_cuda.py
tile_kernels/engram/engram_gate_kernel.py
tile_kernels/modeling/__init__.py
tile_kernels/engram/engram_sinkhorn_kernel.py
.gitignore
tests/quant/test_swiglu_backward_and_per_token_cast.py
tile_kernels/mhc/post_asc.py
tile_kernels/rand/randn_kernel.py
tests/mhc/test_pre_split_mixes.py
tile_kernels/quant/per_token_cast_and_cast_back_cuda.py
tile_kernels/testing/pytest/gpu_mem.py
tile_kernels/quant/cast_back_cuda.py
tile_kernels/modeling/mhc/ops/norm_fn.py
tile_kernels/quant/norm_forward_kernel.py
tile_kernels/moe/mask_indices_by_tp_kernel.py
tile_kernels/mhc/pre_split_mixes_cuda.py
tile_kernels/modeling/mhc/ops/sinkhorn.py
tile_kernels/quant/per_token_cast_cuda.py
...
Most Connected Contributors
Contributor
# connections
# commits
1.
Chenhao Xu <122071158+bucket-xv@users.noreply.github.com>
1
1
2.
Chenhao Xu <xch@deepseek.com>
1
1
contributor dependencies 2D graph
The number on lines shows the number of same files that both persons changed in past 90 days.
flowchart TB
n0["122071158+bucket-xv@users.noreply.github.com"]
n1["xch@deepseek.com"]
n0 ---|"230"| n1
classDef default fill:#808080,stroke:#ffffff,color:#000000;
classDef highlighted fill:#00b2ee,stroke:#ffffff,color:#000000;
linkStyle 0 stroke:#00688bFF,stroke-width:10px
Download:
Mermaid (.mmd)
(open online Mermaid editor)
| Contributor 1 | Contributor 2 | # shared files | |
|---|---|---|---|
| 1. | Chenhao Xu <122071158+bucket-xv@users.noreply.github.com> |
Chenhao Xu <xch@deepseek.com> |
230 shared filestile_kernels/quant/swiglu_forward_cuda.py tile_kernels/mhc/pre_big_fuse_asc.py tile_kernels/transform/rope_cuda.py tile_kernels/quant/per_token_cast_to_e5m6_kernel.py tile_kernels/modeling/mhc/ops/expand.py tile_kernels/engram/engram_hash_kernel.py tile_kernels/mhc/sinkhorn_cuda.py tile_kernels/moe/topk_sum_and_topk_group_idx_kernel.py tile_kernels/mhc/expand_cuda.py tile_kernels/modeling/mhc/ops/post.py tile_kernels/quant/per_token_cast_and_cast_back_kernel.py tile_kernels/mhc/pre_split_mixes_kernel.py tile_kernels/mhc/pre_big_fuse_cuda.py tile_kernels/quant/swiglu_forward_and_per_channel_cast_and_transpose_kernel.py tile_kernels/quant/batched_transpose_weight_sf_asc.py tile_kernels/testing/quant.py tile_kernels/moe/scoring.py tile_kernels/testing/pytest/common.py tests/mhc/test_head_compute_mix.py tile_kernels/engram/engram_fused_weight_asc.py tile_kernels/quant/norm_backward_asc.py tile_kernels/rand/seed.py tests/quant/test_per_token_cast.py tests/mhc/test_multilayer_recompute.py tile_kernels/quant/per_token_cast_asc.py tile_kernels/quant/norm_backward_kernel.py tests/engram/test_engram_gate_fwd.py tests/quant/test_norm_backward.py tile_kernels/modeling/mhc/ops/pre_apply_mix.py tile_kernels/testing/pytest/tilelang_warning.py tile_kernels/quant/per_block_cast_lossless_kernel.py tile_kernels/engram/engram_grad_w_reduce_cuda.py tile_kernels/quant/common.py tests/engram/test_engram_fused_weight.py tile_kernels/engram/engram_gate_fwd_asc.py tile_kernels/quant/per_channel_cast_and_transpose_kernel.py tile_kernels/quant/per_channel_cast_fused_kernel.py tests/mhc/test_pre_big_fuse.py tile_kernels/modeling/engram/__init__.py tile_kernels/modeling/mhc/ops/pre_big_fuse.py tests/moe/test_mask_indices_by_tp.py tests/quant/test_per_channel_cast_fused.py tile_kernels/engram/engram_fused_weight_cuda.py tile_kernels/quant/per_block_cast_lossless_cuda.py tile_kernels/transform/__init__.py tests/moe/test_expand_to_fused.py tile_kernels/modeling/mhc/ops/pre_split_mixes.py tile_kernels/quant/per_block_cast_cuda.py tile_kernels/moe/sqrt_softplus.py tile_kernels/transform/rope_kernel.py tests/moe/test_topk_gate.py tests/quant/test_per_block_cast_lossless.py tile_kernels/quant/swiglu_forward_and_per_token_cast_kernel.py tile_kernels/testing/numeric.py tests/quant/test_per_token_cast_and_cast_back.py tile_kernels/quant/per_channel_cast_cuda.py tile_kernels/config.py tile_kernels/moe/aux_fi_kernel.py tile_kernels/torch/cast.py tile_kernels/mhc/norm_fn_cuda.py tile_kernels/moe/get_fused_mapping_kernel.py tile_kernels/mhc/pre_apply_mix_asc.py tile_kernels/engram/engram_fused_weight_kernel.py tests/mhc/test_sinkhorn.py tile_kernels/mhc/pre_apply_mix_cuda.py tile_kernels/modeling/mhc/functional.py tests/transpose/test_transpose.py tile_kernels/quant/norm_backward_cuda.py tile_kernels/engram/engram_grad_w_reduce_asc.py tile_kernels/testing/moe.py tests/quant/test_swiglu_backward.py tile_kernels/quant/cast_kernel.py tile_kernels/quant/swiglu_backward_asc.py tile_kernels/torch/moe.py tile_kernels/engram/engram_gate_bwd_asc.py tile_kernels/moe/normalize_weight_kernel.py tile_kernels/quant/rstd.py tile_kernels/modeling/engram/engram_gate.py tile_kernels/quant/batched_transpose_weight_sf_cuda.py tile_kernels/quant/norm_forward_asc.py tile_kernels/moe/topk_gate_kernel.py tile_kernels/quant/norm_forward_cuda.py tile_kernels/engram/engram_hash_cuda.py tile_kernels/engram/engram_gate_kernel.py tile_kernels/modeling/__init__.py tile_kernels/engram/engram_sinkhorn_kernel.py .gitignore tests/quant/test_swiglu_backward_and_per_token_cast.py tile_kernels/mhc/post_asc.py tile_kernels/rand/randn_kernel.py tests/mhc/test_pre_split_mixes.py tile_kernels/quant/per_token_cast_and_cast_back_cuda.py tile_kernels/testing/pytest/gpu_mem.py tile_kernels/quant/cast_back_cuda.py tile_kernels/modeling/mhc/ops/norm_fn.py tile_kernels/quant/norm_forward_kernel.py tile_kernels/moe/mask_indices_by_tp_kernel.py tile_kernels/mhc/pre_split_mixes_cuda.py tile_kernels/modeling/mhc/ops/sinkhorn.py tile_kernels/quant/per_token_cast_cuda.py ... |
| Contributor | # connections | # commits | |
|---|---|---|---|
| 1. | Chenhao Xu <122071158+bucket-xv@users.noreply.github.com> |
1 | 1 |
| 2. | Chenhao Xu <xch@deepseek.com> |
1 | 1 |
C-median: 1.0
A half of the contributors has more than 1.0 connections, and a half has less than this number.
C-mean: 1.0
An average number of connections a contributor has with other contributors.
C-index: 1.0
There are 1.0 contributors with 1.0 or more connections.
3 contributors (4 commits):
| # | Contributor |
First Commit |
Latest Commit |
Commits Count |
Line Churn |
|---|---|---|---|---|---|
| 1. | Chenhao Xu <122071158+bucket-xv@users.noreply.github.com> |
2026-04-23 | 2026-09-30 | 2 (50%) | +23K / -11K |
| 2. | Chenhao Xu <xch@deepseek.com> |
2026-09-30 | 2026-09-30 | 1 (25%) | +23K / -11K |
| 3. | tianr22 <tianr22@deepseek.com> |
2026-04-23 | 2026-04-23 | 1 (25%) | +2 / -2 |
Contributor Dependencies
A contributor dependency is detected if two contributors have changed the same files in the past 180 days.
Contributor Dependencies via Shared Files
contributor dependencies 2D graph
The number on lines shows the number of same files that both persons changed in past 180 days.
flowchart TB
n0["122071158+bucket-xv@users.noreply.github.com"]
n1["xch@deepseek.com"]
n2["tianr22@deepseek.com"]
n0 ---|"230"| n1
n0 ---|"1"| n2
n1 ---|"1"| n2
classDef default fill:#808080,stroke:#ffffff,color:#000000;
classDef highlighted fill:#00b2ee,stroke:#ffffff,color:#000000;
linkStyle 0 stroke:#00688bFF,stroke-width:10px
linkStyle 1 stroke:#00688b4C,stroke-width:1px
linkStyle 2 stroke:#00688b4C,stroke-width:1px
Download:
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(open online Mermaid editor)
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- open 2D force graph (including only shared files)
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Contributor 1
Contributor 2
# shared files
1.
Chenhao Xu <122071158+bucket-xv@users.noreply.github.com>
Chenhao Xu <xch@deepseek.com>
230 shared files
tile_kernels/quant/swiglu_forward_cuda.py
tile_kernels/mhc/pre_big_fuse_asc.py
tile_kernels/transform/rope_cuda.py
tile_kernels/quant/per_token_cast_to_e5m6_kernel.py
tile_kernels/modeling/mhc/ops/expand.py
tile_kernels/engram/engram_hash_kernel.py
tile_kernels/mhc/sinkhorn_cuda.py
tile_kernels/moe/topk_sum_and_topk_group_idx_kernel.py
tile_kernels/mhc/expand_cuda.py
tile_kernels/modeling/mhc/ops/post.py
tile_kernels/quant/per_token_cast_and_cast_back_kernel.py
tile_kernels/mhc/pre_split_mixes_kernel.py
tile_kernels/mhc/pre_big_fuse_cuda.py
tile_kernels/quant/swiglu_forward_and_per_channel_cast_and_transpose_kernel.py
tile_kernels/quant/batched_transpose_weight_sf_asc.py
tile_kernels/testing/quant.py
tile_kernels/moe/scoring.py
tile_kernels/testing/pytest/common.py
tests/mhc/test_head_compute_mix.py
tile_kernels/engram/engram_fused_weight_asc.py
tile_kernels/quant/norm_backward_asc.py
tile_kernels/rand/seed.py
tests/quant/test_per_token_cast.py
tests/mhc/test_multilayer_recompute.py
tile_kernels/quant/per_token_cast_asc.py
tile_kernels/quant/norm_backward_kernel.py
tests/engram/test_engram_gate_fwd.py
tests/quant/test_norm_backward.py
tile_kernels/modeling/mhc/ops/pre_apply_mix.py
tile_kernels/testing/pytest/tilelang_warning.py
tile_kernels/quant/per_block_cast_lossless_kernel.py
tile_kernels/engram/engram_grad_w_reduce_cuda.py
tile_kernels/quant/common.py
tests/engram/test_engram_fused_weight.py
tile_kernels/engram/engram_gate_fwd_asc.py
tile_kernels/quant/per_channel_cast_and_transpose_kernel.py
tile_kernels/quant/per_channel_cast_fused_kernel.py
tests/mhc/test_pre_big_fuse.py
tile_kernels/modeling/engram/__init__.py
tile_kernels/modeling/mhc/ops/pre_big_fuse.py
tests/moe/test_mask_indices_by_tp.py
tests/quant/test_per_channel_cast_fused.py
tile_kernels/engram/engram_fused_weight_cuda.py
tile_kernels/quant/per_block_cast_lossless_cuda.py
tile_kernels/transform/__init__.py
tests/moe/test_expand_to_fused.py
tile_kernels/modeling/mhc/ops/pre_split_mixes.py
tile_kernels/quant/per_block_cast_cuda.py
tile_kernels/moe/sqrt_softplus.py
tile_kernels/transform/rope_kernel.py
tests/moe/test_topk_gate.py
tests/quant/test_per_block_cast_lossless.py
tile_kernels/quant/swiglu_forward_and_per_token_cast_kernel.py
tile_kernels/testing/numeric.py
tests/quant/test_per_token_cast_and_cast_back.py
tile_kernels/quant/per_channel_cast_cuda.py
tile_kernels/config.py
tile_kernels/moe/aux_fi_kernel.py
tile_kernels/torch/cast.py
tile_kernels/mhc/norm_fn_cuda.py
tile_kernels/moe/get_fused_mapping_kernel.py
tile_kernels/mhc/pre_apply_mix_asc.py
tile_kernels/engram/engram_fused_weight_kernel.py
tests/mhc/test_sinkhorn.py
tile_kernels/mhc/pre_apply_mix_cuda.py
tile_kernels/modeling/mhc/functional.py
tests/transpose/test_transpose.py
tile_kernels/quant/norm_backward_cuda.py
tile_kernels/engram/engram_grad_w_reduce_asc.py
tile_kernels/testing/moe.py
tests/quant/test_swiglu_backward.py
tile_kernels/quant/cast_kernel.py
tile_kernels/quant/swiglu_backward_asc.py
tile_kernels/torch/moe.py
tile_kernels/engram/engram_gate_bwd_asc.py
tile_kernels/moe/normalize_weight_kernel.py
tile_kernels/quant/rstd.py
tile_kernels/modeling/engram/engram_gate.py
tile_kernels/quant/batched_transpose_weight_sf_cuda.py
tile_kernels/quant/norm_forward_asc.py
tile_kernels/moe/topk_gate_kernel.py
tile_kernels/quant/norm_forward_cuda.py
tile_kernels/engram/engram_hash_cuda.py
tile_kernels/engram/engram_gate_kernel.py
tile_kernels/modeling/__init__.py
tile_kernels/engram/engram_sinkhorn_kernel.py
.gitignore
tests/quant/test_swiglu_backward_and_per_token_cast.py
tile_kernels/mhc/post_asc.py
tile_kernels/rand/randn_kernel.py
tests/mhc/test_pre_split_mixes.py
tile_kernels/quant/per_token_cast_and_cast_back_cuda.py
tile_kernels/testing/pytest/gpu_mem.py
tile_kernels/quant/cast_back_cuda.py
tile_kernels/modeling/mhc/ops/norm_fn.py
tile_kernels/quant/norm_forward_kernel.py
tile_kernels/moe/mask_indices_by_tp_kernel.py
tile_kernels/mhc/pre_split_mixes_cuda.py
tile_kernels/modeling/mhc/ops/sinkhorn.py
tile_kernels/quant/per_token_cast_cuda.py
...
2.
Chenhao Xu <122071158+bucket-xv@users.noreply.github.com>
tianr22 <tianr22@deepseek.com>
1 shared file
tile_kernels/engram/engram_gate_kernel.py
3.
Chenhao Xu <xch@deepseek.com>
tianr22 <tianr22@deepseek.com>
1 shared file
tile_kernels/engram/engram_gate_kernel.py
Most Connected Contributors
Contributor
# connections
# commits
1.
Chenhao Xu <122071158+bucket-xv@users.noreply.github.com>
2
2
2.
Chenhao Xu <xch@deepseek.com>
2
1
3.
tianr22 <tianr22@deepseek.com>
2
1
contributor dependencies 2D graph
The number on lines shows the number of same files that both persons changed in past 180 days.
flowchart TB
n0["122071158+bucket-xv@users.noreply.github.com"]
n1["xch@deepseek.com"]
n2["tianr22@deepseek.com"]
n0 ---|"230"| n1
n0 ---|"1"| n2
n1 ---|"1"| n2
classDef default fill:#808080,stroke:#ffffff,color:#000000;
classDef highlighted fill:#00b2ee,stroke:#ffffff,color:#000000;
linkStyle 0 stroke:#00688bFF,stroke-width:10px
linkStyle 1 stroke:#00688b4C,stroke-width:1px
linkStyle 2 stroke:#00688b4C,stroke-width:1px
Download:
Mermaid (.mmd)
(open online Mermaid editor)
| Contributor 1 | Contributor 2 | # shared files | |
|---|---|---|---|
| 1. | Chenhao Xu <122071158+bucket-xv@users.noreply.github.com> |
Chenhao Xu <xch@deepseek.com> |
230 shared filestile_kernels/quant/swiglu_forward_cuda.py tile_kernels/mhc/pre_big_fuse_asc.py tile_kernels/transform/rope_cuda.py tile_kernels/quant/per_token_cast_to_e5m6_kernel.py tile_kernels/modeling/mhc/ops/expand.py tile_kernels/engram/engram_hash_kernel.py tile_kernels/mhc/sinkhorn_cuda.py tile_kernels/moe/topk_sum_and_topk_group_idx_kernel.py tile_kernels/mhc/expand_cuda.py tile_kernels/modeling/mhc/ops/post.py tile_kernels/quant/per_token_cast_and_cast_back_kernel.py tile_kernels/mhc/pre_split_mixes_kernel.py tile_kernels/mhc/pre_big_fuse_cuda.py tile_kernels/quant/swiglu_forward_and_per_channel_cast_and_transpose_kernel.py tile_kernels/quant/batched_transpose_weight_sf_asc.py tile_kernels/testing/quant.py tile_kernels/moe/scoring.py tile_kernels/testing/pytest/common.py tests/mhc/test_head_compute_mix.py tile_kernels/engram/engram_fused_weight_asc.py tile_kernels/quant/norm_backward_asc.py tile_kernels/rand/seed.py tests/quant/test_per_token_cast.py tests/mhc/test_multilayer_recompute.py tile_kernels/quant/per_token_cast_asc.py tile_kernels/quant/norm_backward_kernel.py tests/engram/test_engram_gate_fwd.py tests/quant/test_norm_backward.py tile_kernels/modeling/mhc/ops/pre_apply_mix.py tile_kernels/testing/pytest/tilelang_warning.py tile_kernels/quant/per_block_cast_lossless_kernel.py tile_kernels/engram/engram_grad_w_reduce_cuda.py tile_kernels/quant/common.py tests/engram/test_engram_fused_weight.py tile_kernels/engram/engram_gate_fwd_asc.py tile_kernels/quant/per_channel_cast_and_transpose_kernel.py tile_kernels/quant/per_channel_cast_fused_kernel.py tests/mhc/test_pre_big_fuse.py tile_kernels/modeling/engram/__init__.py tile_kernels/modeling/mhc/ops/pre_big_fuse.py tests/moe/test_mask_indices_by_tp.py tests/quant/test_per_channel_cast_fused.py tile_kernels/engram/engram_fused_weight_cuda.py tile_kernels/quant/per_block_cast_lossless_cuda.py tile_kernels/transform/__init__.py tests/moe/test_expand_to_fused.py tile_kernels/modeling/mhc/ops/pre_split_mixes.py tile_kernels/quant/per_block_cast_cuda.py tile_kernels/moe/sqrt_softplus.py tile_kernels/transform/rope_kernel.py tests/moe/test_topk_gate.py tests/quant/test_per_block_cast_lossless.py tile_kernels/quant/swiglu_forward_and_per_token_cast_kernel.py tile_kernels/testing/numeric.py tests/quant/test_per_token_cast_and_cast_back.py tile_kernels/quant/per_channel_cast_cuda.py tile_kernels/config.py tile_kernels/moe/aux_fi_kernel.py tile_kernels/torch/cast.py tile_kernels/mhc/norm_fn_cuda.py tile_kernels/moe/get_fused_mapping_kernel.py tile_kernels/mhc/pre_apply_mix_asc.py tile_kernels/engram/engram_fused_weight_kernel.py tests/mhc/test_sinkhorn.py tile_kernels/mhc/pre_apply_mix_cuda.py tile_kernels/modeling/mhc/functional.py tests/transpose/test_transpose.py tile_kernels/quant/norm_backward_cuda.py tile_kernels/engram/engram_grad_w_reduce_asc.py tile_kernels/testing/moe.py tests/quant/test_swiglu_backward.py tile_kernels/quant/cast_kernel.py tile_kernels/quant/swiglu_backward_asc.py tile_kernels/torch/moe.py tile_kernels/engram/engram_gate_bwd_asc.py tile_kernels/moe/normalize_weight_kernel.py tile_kernels/quant/rstd.py tile_kernels/modeling/engram/engram_gate.py tile_kernels/quant/batched_transpose_weight_sf_cuda.py tile_kernels/quant/norm_forward_asc.py tile_kernels/moe/topk_gate_kernel.py tile_kernels/quant/norm_forward_cuda.py tile_kernels/engram/engram_hash_cuda.py tile_kernels/engram/engram_gate_kernel.py tile_kernels/modeling/__init__.py tile_kernels/engram/engram_sinkhorn_kernel.py .gitignore tests/quant/test_swiglu_backward_and_per_token_cast.py tile_kernels/mhc/post_asc.py tile_kernels/rand/randn_kernel.py tests/mhc/test_pre_split_mixes.py tile_kernels/quant/per_token_cast_and_cast_back_cuda.py tile_kernels/testing/pytest/gpu_mem.py tile_kernels/quant/cast_back_cuda.py tile_kernels/modeling/mhc/ops/norm_fn.py tile_kernels/quant/norm_forward_kernel.py tile_kernels/moe/mask_indices_by_tp_kernel.py tile_kernels/mhc/pre_split_mixes_cuda.py tile_kernels/modeling/mhc/ops/sinkhorn.py tile_kernels/quant/per_token_cast_cuda.py ... |
| 2. | Chenhao Xu <122071158+bucket-xv@users.noreply.github.com> |
tianr22 <tianr22@deepseek.com> |
1 shared filetile_kernels/engram/engram_gate_kernel.py |
| 3. | Chenhao Xu <xch@deepseek.com> |
tianr22 <tianr22@deepseek.com> |
1 shared filetile_kernels/engram/engram_gate_kernel.py |
| Contributor | # connections | # commits | |
|---|---|---|---|
| 1. | Chenhao Xu <122071158+bucket-xv@users.noreply.github.com> |
2 | 2 |
| 2. | Chenhao Xu <xch@deepseek.com> |
2 | 1 |
| 3. | tianr22 <tianr22@deepseek.com> |
2 | 1 |
C-median: 2.0
A half of the contributors has more than 2.0 connections, and a half has less than this number.
C-mean: 2.0
An average number of connections a contributor has with other contributors.
C-index: 2.0
There are 2.0 contributors with 2.0 or more connections.
3 contributors (4 commits):
| # | Contributor |
First Commit |
Latest Commit |
Commits Count |
Line Churn |
|---|---|---|---|---|---|
| 1. | Chenhao Xu <122071158+bucket-xv@users.noreply.github.com> |
2026-04-23 | 2026-09-30 | 2 (50%) | +23K / -11K |
| 2. | Chenhao Xu <xch@deepseek.com> |
2026-09-30 | 2026-09-30 | 1 (25%) | +23K / -11K |
| 3. | tianr22 <tianr22@deepseek.com> |
2026-04-23 | 2026-04-23 | 1 (25%) | +2 / -2 |
Contributor Dependencies
A contributor dependency is detected if two contributors have changed the same files in the past 365 days.
Contributor Dependencies via Shared Files
contributor dependencies 2D graph
The number on lines shows the number of same files that both persons changed in past 365 days.
flowchart TB
n0["122071158+bucket-xv@users.noreply.github.com"]
n1["xch@deepseek.com"]
n2["tianr22@deepseek.com"]
n0 ---|"230"| n1
n0 ---|"1"| n2
n1 ---|"1"| n2
classDef default fill:#808080,stroke:#ffffff,color:#000000;
classDef highlighted fill:#00b2ee,stroke:#ffffff,color:#000000;
linkStyle 0 stroke:#00688bFF,stroke-width:10px
linkStyle 1 stroke:#00688b4C,stroke-width:1px
linkStyle 2 stroke:#00688b4C,stroke-width:1px
Download:
Mermaid (.mmd)
(open online Mermaid editor)
- open 2D force graph
- open 3D force graph
- open 2D force graph (including all files)
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- open 3D force graph (including only shared files)
Contributor 1
Contributor 2
# shared files
1.
Chenhao Xu <122071158+bucket-xv@users.noreply.github.com>
Chenhao Xu <xch@deepseek.com>
230 shared files
tile_kernels/quant/swiglu_forward_cuda.py
tile_kernels/mhc/pre_big_fuse_asc.py
tile_kernels/transform/rope_cuda.py
tile_kernels/quant/per_token_cast_to_e5m6_kernel.py
tile_kernels/modeling/mhc/ops/expand.py
tile_kernels/engram/engram_hash_kernel.py
tile_kernels/mhc/sinkhorn_cuda.py
tile_kernels/moe/topk_sum_and_topk_group_idx_kernel.py
tile_kernels/mhc/expand_cuda.py
tile_kernels/modeling/mhc/ops/post.py
tile_kernels/quant/per_token_cast_and_cast_back_kernel.py
tile_kernels/mhc/pre_split_mixes_kernel.py
tile_kernels/mhc/pre_big_fuse_cuda.py
tile_kernels/quant/swiglu_forward_and_per_channel_cast_and_transpose_kernel.py
tile_kernels/quant/batched_transpose_weight_sf_asc.py
tile_kernels/testing/quant.py
tile_kernels/moe/scoring.py
tile_kernels/testing/pytest/common.py
tests/mhc/test_head_compute_mix.py
tile_kernels/engram/engram_fused_weight_asc.py
tile_kernels/quant/norm_backward_asc.py
tile_kernels/rand/seed.py
tests/quant/test_per_token_cast.py
tests/mhc/test_multilayer_recompute.py
tile_kernels/quant/per_token_cast_asc.py
tile_kernels/quant/norm_backward_kernel.py
tests/engram/test_engram_gate_fwd.py
tests/quant/test_norm_backward.py
tile_kernels/modeling/mhc/ops/pre_apply_mix.py
tile_kernels/testing/pytest/tilelang_warning.py
tile_kernels/quant/per_block_cast_lossless_kernel.py
tile_kernels/engram/engram_grad_w_reduce_cuda.py
tile_kernels/quant/common.py
tests/engram/test_engram_fused_weight.py
tile_kernels/engram/engram_gate_fwd_asc.py
tile_kernels/quant/per_channel_cast_and_transpose_kernel.py
tile_kernels/quant/per_channel_cast_fused_kernel.py
tests/mhc/test_pre_big_fuse.py
tile_kernels/modeling/engram/__init__.py
tile_kernels/modeling/mhc/ops/pre_big_fuse.py
tests/moe/test_mask_indices_by_tp.py
tests/quant/test_per_channel_cast_fused.py
tile_kernels/engram/engram_fused_weight_cuda.py
tile_kernels/quant/per_block_cast_lossless_cuda.py
tile_kernels/transform/__init__.py
tests/moe/test_expand_to_fused.py
tile_kernels/modeling/mhc/ops/pre_split_mixes.py
tile_kernels/quant/per_block_cast_cuda.py
tile_kernels/moe/sqrt_softplus.py
tile_kernels/transform/rope_kernel.py
tests/moe/test_topk_gate.py
tests/quant/test_per_block_cast_lossless.py
tile_kernels/quant/swiglu_forward_and_per_token_cast_kernel.py
tile_kernels/testing/numeric.py
tests/quant/test_per_token_cast_and_cast_back.py
tile_kernels/quant/per_channel_cast_cuda.py
tile_kernels/config.py
tile_kernels/moe/aux_fi_kernel.py
tile_kernels/torch/cast.py
tile_kernels/mhc/norm_fn_cuda.py
tile_kernels/moe/get_fused_mapping_kernel.py
tile_kernels/mhc/pre_apply_mix_asc.py
tile_kernels/engram/engram_fused_weight_kernel.py
tests/mhc/test_sinkhorn.py
tile_kernels/mhc/pre_apply_mix_cuda.py
tile_kernels/modeling/mhc/functional.py
tests/transpose/test_transpose.py
tile_kernels/quant/norm_backward_cuda.py
tile_kernels/engram/engram_grad_w_reduce_asc.py
tile_kernels/testing/moe.py
tests/quant/test_swiglu_backward.py
tile_kernels/quant/cast_kernel.py
tile_kernels/quant/swiglu_backward_asc.py
tile_kernels/torch/moe.py
tile_kernels/engram/engram_gate_bwd_asc.py
tile_kernels/moe/normalize_weight_kernel.py
tile_kernels/quant/rstd.py
tile_kernels/modeling/engram/engram_gate.py
tile_kernels/quant/batched_transpose_weight_sf_cuda.py
tile_kernels/quant/norm_forward_asc.py
tile_kernels/moe/topk_gate_kernel.py
tile_kernels/quant/norm_forward_cuda.py
tile_kernels/engram/engram_hash_cuda.py
tile_kernels/engram/engram_gate_kernel.py
tile_kernels/modeling/__init__.py
tile_kernels/engram/engram_sinkhorn_kernel.py
.gitignore
tests/quant/test_swiglu_backward_and_per_token_cast.py
tile_kernels/mhc/post_asc.py
tile_kernels/rand/randn_kernel.py
tests/mhc/test_pre_split_mixes.py
tile_kernels/quant/per_token_cast_and_cast_back_cuda.py
tile_kernels/testing/pytest/gpu_mem.py
tile_kernels/quant/cast_back_cuda.py
tile_kernels/modeling/mhc/ops/norm_fn.py
tile_kernels/quant/norm_forward_kernel.py
tile_kernels/moe/mask_indices_by_tp_kernel.py
tile_kernels/mhc/pre_split_mixes_cuda.py
tile_kernels/modeling/mhc/ops/sinkhorn.py
tile_kernels/quant/per_token_cast_cuda.py
...
2.
Chenhao Xu <122071158+bucket-xv@users.noreply.github.com>
tianr22 <tianr22@deepseek.com>
1 shared file
tile_kernels/engram/engram_gate_kernel.py
3.
Chenhao Xu <xch@deepseek.com>
tianr22 <tianr22@deepseek.com>
1 shared file
tile_kernels/engram/engram_gate_kernel.py
Most Connected Contributors
Contributor
# connections
# commits
1.
Chenhao Xu <122071158+bucket-xv@users.noreply.github.com>
2
2
2.
Chenhao Xu <xch@deepseek.com>
2
1
3.
tianr22 <tianr22@deepseek.com>
2
1
contributor dependencies 2D graph
The number on lines shows the number of same files that both persons changed in past 365 days.
flowchart TB
n0["122071158+bucket-xv@users.noreply.github.com"]
n1["xch@deepseek.com"]
n2["tianr22@deepseek.com"]
n0 ---|"230"| n1
n0 ---|"1"| n2
n1 ---|"1"| n2
classDef default fill:#808080,stroke:#ffffff,color:#000000;
classDef highlighted fill:#00b2ee,stroke:#ffffff,color:#000000;
linkStyle 0 stroke:#00688bFF,stroke-width:10px
linkStyle 1 stroke:#00688b4C,stroke-width:1px
linkStyle 2 stroke:#00688b4C,stroke-width:1px
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| Contributor 1 | Contributor 2 | # shared files | |
|---|---|---|---|
| 1. | Chenhao Xu <122071158+bucket-xv@users.noreply.github.com> |
Chenhao Xu <xch@deepseek.com> |
230 shared filestile_kernels/quant/swiglu_forward_cuda.py tile_kernels/mhc/pre_big_fuse_asc.py tile_kernels/transform/rope_cuda.py tile_kernels/quant/per_token_cast_to_e5m6_kernel.py tile_kernels/modeling/mhc/ops/expand.py tile_kernels/engram/engram_hash_kernel.py tile_kernels/mhc/sinkhorn_cuda.py tile_kernels/moe/topk_sum_and_topk_group_idx_kernel.py tile_kernels/mhc/expand_cuda.py tile_kernels/modeling/mhc/ops/post.py tile_kernels/quant/per_token_cast_and_cast_back_kernel.py tile_kernels/mhc/pre_split_mixes_kernel.py tile_kernels/mhc/pre_big_fuse_cuda.py tile_kernels/quant/swiglu_forward_and_per_channel_cast_and_transpose_kernel.py tile_kernels/quant/batched_transpose_weight_sf_asc.py tile_kernels/testing/quant.py tile_kernels/moe/scoring.py tile_kernels/testing/pytest/common.py tests/mhc/test_head_compute_mix.py tile_kernels/engram/engram_fused_weight_asc.py tile_kernels/quant/norm_backward_asc.py tile_kernels/rand/seed.py tests/quant/test_per_token_cast.py tests/mhc/test_multilayer_recompute.py tile_kernels/quant/per_token_cast_asc.py tile_kernels/quant/norm_backward_kernel.py tests/engram/test_engram_gate_fwd.py tests/quant/test_norm_backward.py tile_kernels/modeling/mhc/ops/pre_apply_mix.py tile_kernels/testing/pytest/tilelang_warning.py tile_kernels/quant/per_block_cast_lossless_kernel.py tile_kernels/engram/engram_grad_w_reduce_cuda.py tile_kernels/quant/common.py tests/engram/test_engram_fused_weight.py tile_kernels/engram/engram_gate_fwd_asc.py tile_kernels/quant/per_channel_cast_and_transpose_kernel.py tile_kernels/quant/per_channel_cast_fused_kernel.py tests/mhc/test_pre_big_fuse.py tile_kernels/modeling/engram/__init__.py tile_kernels/modeling/mhc/ops/pre_big_fuse.py tests/moe/test_mask_indices_by_tp.py tests/quant/test_per_channel_cast_fused.py tile_kernels/engram/engram_fused_weight_cuda.py tile_kernels/quant/per_block_cast_lossless_cuda.py tile_kernels/transform/__init__.py tests/moe/test_expand_to_fused.py tile_kernels/modeling/mhc/ops/pre_split_mixes.py tile_kernels/quant/per_block_cast_cuda.py tile_kernels/moe/sqrt_softplus.py tile_kernels/transform/rope_kernel.py tests/moe/test_topk_gate.py tests/quant/test_per_block_cast_lossless.py tile_kernels/quant/swiglu_forward_and_per_token_cast_kernel.py tile_kernels/testing/numeric.py tests/quant/test_per_token_cast_and_cast_back.py tile_kernels/quant/per_channel_cast_cuda.py tile_kernels/config.py tile_kernels/moe/aux_fi_kernel.py tile_kernels/torch/cast.py tile_kernels/mhc/norm_fn_cuda.py tile_kernels/moe/get_fused_mapping_kernel.py tile_kernels/mhc/pre_apply_mix_asc.py tile_kernels/engram/engram_fused_weight_kernel.py tests/mhc/test_sinkhorn.py tile_kernels/mhc/pre_apply_mix_cuda.py tile_kernels/modeling/mhc/functional.py tests/transpose/test_transpose.py tile_kernels/quant/norm_backward_cuda.py tile_kernels/engram/engram_grad_w_reduce_asc.py tile_kernels/testing/moe.py tests/quant/test_swiglu_backward.py tile_kernels/quant/cast_kernel.py tile_kernels/quant/swiglu_backward_asc.py tile_kernels/torch/moe.py tile_kernels/engram/engram_gate_bwd_asc.py tile_kernels/moe/normalize_weight_kernel.py tile_kernels/quant/rstd.py tile_kernels/modeling/engram/engram_gate.py tile_kernels/quant/batched_transpose_weight_sf_cuda.py tile_kernels/quant/norm_forward_asc.py tile_kernels/moe/topk_gate_kernel.py tile_kernels/quant/norm_forward_cuda.py tile_kernels/engram/engram_hash_cuda.py tile_kernels/engram/engram_gate_kernel.py tile_kernels/modeling/__init__.py tile_kernels/engram/engram_sinkhorn_kernel.py .gitignore tests/quant/test_swiglu_backward_and_per_token_cast.py tile_kernels/mhc/post_asc.py tile_kernels/rand/randn_kernel.py tests/mhc/test_pre_split_mixes.py tile_kernels/quant/per_token_cast_and_cast_back_cuda.py tile_kernels/testing/pytest/gpu_mem.py tile_kernels/quant/cast_back_cuda.py tile_kernels/modeling/mhc/ops/norm_fn.py tile_kernels/quant/norm_forward_kernel.py tile_kernels/moe/mask_indices_by_tp_kernel.py tile_kernels/mhc/pre_split_mixes_cuda.py tile_kernels/modeling/mhc/ops/sinkhorn.py tile_kernels/quant/per_token_cast_cuda.py ... |
| 2. | Chenhao Xu <122071158+bucket-xv@users.noreply.github.com> |
tianr22 <tianr22@deepseek.com> |
1 shared filetile_kernels/engram/engram_gate_kernel.py |
| 3. | Chenhao Xu <xch@deepseek.com> |
tianr22 <tianr22@deepseek.com> |
1 shared filetile_kernels/engram/engram_gate_kernel.py |
| Contributor | # connections | # commits | |
|---|---|---|---|
| 1. | Chenhao Xu <122071158+bucket-xv@users.noreply.github.com> |
2 | 2 |
| 2. | Chenhao Xu <xch@deepseek.com> |
2 | 1 |
| 3. | tianr22 <tianr22@deepseek.com> |
2 | 1 |
C-median: 2.0
A half of the contributors has more than 2.0 connections, and a half has less than this number.
C-mean: 2.0
An average number of connections a contributor has with other contributors.
C-index: 2.0
There are 2.0 contributors with 2.0 or more connections.