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[Ascend NPU] Update llamacpp backend ops support report #48

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Merged
xuedinge233 merged 1 commit into from
Jan 7, 2026
Merged

[Ascend NPU] Update llamacpp backend ops support report #48

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185 changes: 66 additions & 119 deletions docs/llamacpp_ops.md
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Original file line number Diff line number Diff line change
Expand Up @@ -51,6 +51,7 @@
| SOFTCAP | ✅ |
| SQR | ✅ |
| SQRT | ✅ |
| SSM_CONV | ✅ |
| STEP | ✅ |
| SUB | ✅ |
| SUM_ROWS | ✅ |
Expand All @@ -70,7 +71,6 @@
| MUL_MAT | 🟡 |
| MUL_MAT_ID | 🟡 |
| OPT_STEP_ADAMW | 🟡 |
| OUT_PROD | 🟡 |
| PAD | 🟡 |
| POOL_2D | 🟡 |
| REPEAT_BACK | 🟡 |
Expand All @@ -85,136 +85,83 @@
| SILU_BACK | 🟡 |
| SOFT_MAX | 🟡 |
| SOFT_MAX_BACK | 🟡 |
| SSM_CONV | 🟡 |
| SSM_SCAN | 🟡 |
| SUM | 🟡 |
| UPSCALE | 🟡 |
| OUT_PROD | ❌ |

Tips: ✅ supported, 🟡 partially supported, ❌ fail, ❓ unsupported, 🔍 unknown

### Operators with changed status

| Operator | Previous | Current |
| --- | --- | --- |
| CONV_TRANSPOSE_1D | partial (🟡) | supported (✅) |
| OUT_PROD | partial (🟡) | fail (❌) |
| SSM_CONV | partial (🟡) | supported (✅) |

#### CONV_TRANSPOSE_1D log (partial -> supported)
#### OUT_PROD log (partial -> fail)
```text
CONV_TRANSPOSE_1D(ne_input=[1,1,1,1],ne_kernel=[1,1,1,1],s0=3,p0=0,d0=1): OK
CONV_TRANSPOSE_1D(ne_input=[2,1,1,1],ne_kernel=[1,1,1,1],s0=1,p0=0,d0=1): OK
CONV_TRANSPOSE_1D(ne_input=[2,1,1,1],ne_kernel=[1,1,1,1],s0=2,p0=0,d0=1): OK
CONV_TRANSPOSE_1D(ne_input=[2,1,1,1],ne_kernel=[1,1,1,1],s0=3,p0=0,d0=1): OK
CONV_TRANSPOSE_1D(ne_input=[13,1,1,1],ne_kernel=[1,1,1,1],s0=1,p0=0,d0=1): OK
CONV_TRANSPOSE_1D(ne_input=[13,1,1,1],ne_kernel=[1,1,1,1],s0=2,p0=0,d0=1): OK
CONV_TRANSPOSE_1D(ne_input=[13,1,1,1],ne_kernel=[1,1,1,1],s0=3,p0=0,d0=1): OK
CONV_TRANSPOSE_1D(ne_input=[1,1,1,1],ne_kernel=[3,1,1,1],s0=1,p0=0,d0=1): OK
CONV_TRANSPOSE_1D(ne_input=[1,1,1,1],ne_kernel=[3,1,1,1],s0=2,p0=0,d0=1): OK
CONV_TRANSPOSE_1D(ne_input=[1,1,1,1],ne_kernel=[3,1,1,1],s0=3,p0=0,d0=1): OK
CONV_TRANSPOSE_1D(ne_input=[2,1,1,1],ne_kernel=[3,1,1,1],s0=1,p0=0,d0=1): OK
CONV_TRANSPOSE_1D(ne_input=[2,1,1,1],ne_kernel=[3,1,1,1],s0=2,p0=0,d0=1): OK
CONV_TRANSPOSE_1D(ne_input=[2,1,1,1],ne_kernel=[3,1,1,1],s0=3,p0=0,d0=1): OK
CONV_TRANSPOSE_1D(ne_input=[13,1,1,1],ne_kernel=[3,1,1,1],s0=1,p0=0,d0=1): OK
CONV_TRANSPOSE_1D(ne_input=[13,1,1,1],ne_kernel=[3,1,1,1],s0=2,p0=0,d0=1): OK
CONV_TRANSPOSE_1D(ne_input=[13,1,1,1],ne_kernel=[3,1,1,1],s0=3,p0=0,d0=1): OK
CONV_TRANSPOSE_1D(ne_input=[1,1,1,1],ne_kernel=[1337,1,1,1],s0=1,p0=0,d0=1): OK
CONV_TRANSPOSE_1D(ne_input=[1,1,1,1],ne_kernel=[1337,1,1,1],s0=2,p0=0,d0=1): OK
CONV_TRANSPOSE_1D(ne_input=[1,1,1,1],ne_kernel=[1337,1,1,1],s0=3,p0=0,d0=1): OK
CONV_TRANSPOSE_1D(ne_input=[2,1,1,1],ne_kernel=[1337,1,1,1],s0=1,p0=0,d0=1): OK
CONV_TRANSPOSE_1D(ne_input=[2,1,1,1],ne_kernel=[1337,1,1,1],s0=2,p0=0,d0=1): OK
CONV_TRANSPOSE_1D(ne_input=[2,1,1,1],ne_kernel=[1337,1,1,1],s0=3,p0=0,d0=1): OK
CONV_TRANSPOSE_1D(ne_input=[13,1,1,1],ne_kernel=[1337,1,1,1],s0=1,p0=0,d0=1): OK
CONV_TRANSPOSE_1D(ne_input=[13,1,1,1],ne_kernel=[1337,1,1,1],s0=2,p0=0,d0=1): OK
CONV_TRANSPOSE_1D(ne_input=[13,1,1,1],ne_kernel=[1337,1,1,1],s0=3,p0=0,d0=1): OK
CONV_TRANSPOSE_1D(ne_input=[1,7,1,1],ne_kernel=[1,1,7,1],s0=1,p0=0,d0=1): OK
CONV_TRANSPOSE_1D(ne_input=[1,7,1,1],ne_kernel=[1,1,7,1],s0=2,p0=0,d0=1): OK
CONV_TRANSPOSE_1D(ne_input=[1,7,1,1],ne_kernel=[1,1,7,1],s0=3,p0=0,d0=1): OK
CONV_TRANSPOSE_1D(ne_input=[2,7,1,1],ne_kernel=[1,1,7,1],s0=1,p0=0,d0=1): OK
CONV_TRANSPOSE_1D(ne_input=[2,7,1,1],ne_kernel=[1,1,7,1],s0=2,p0=0,d0=1): OK
CONV_TRANSPOSE_1D(ne_input=[2,7,1,1],ne_kernel=[1,1,7,1],s0=3,p0=0,d0=1): OK
CONV_TRANSPOSE_1D(ne_input=[13,7,1,1],ne_kernel=[1,1,7,1],s0=1,p0=0,d0=1): OK
CONV_TRANSPOSE_1D(ne_input=[13,7,1,1],ne_kernel=[1,1,7,1],s0=2,p0=0,d0=1): OK
CONV_TRANSPOSE_1D(ne_input=[13,7,1,1],ne_kernel=[1,1,7,1],s0=3,p0=0,d0=1): OK
CONV_TRANSPOSE_1D(ne_input=[1,7,1,1],ne_kernel=[3,1,7,1],s0=1,p0=0,d0=1): OK
CONV_TRANSPOSE_1D(ne_input=[1,7,1,1],ne_kernel=[3,1,7,1],s0=2,p0=0,d0=1): OK
CONV_TRANSPOSE_1D(ne_input=[1,7,1,1],ne_kernel=[3,1,7,1],s0=3,p0=0,d0=1): OK
CONV_TRANSPOSE_1D(ne_input=[2,7,1,1],ne_kernel=[3,1,7,1],s0=1,p0=0,d0=1): OK
CONV_TRANSPOSE_1D(ne_input=[2,7,1,1],ne_kernel=[3,1,7,1],s0=2,p0=0,d0=1): OK
CONV_TRANSPOSE_1D(ne_input=[2,7,1,1],ne_kernel=[3,1,7,1],s0=3,p0=0,d0=1): OK
CONV_TRANSPOSE_1D(ne_input=[13,7,1,1],ne_kernel=[3,1,7,1],s0=1,p0=0,d0=1): OK
CONV_TRANSPOSE_1D(ne_input=[13,7,1,1],ne_kernel=[3,1,7,1],s0=2,p0=0,d0=1): OK
CONV_TRANSPOSE_1D(ne_input=[13,7,1,1],ne_kernel=[3,1,7,1],s0=3,p0=0,d0=1): OK
CONV_TRANSPOSE_1D(ne_input=[1,7,1,1],ne_kernel=[1337,1,7,1],s0=1,p0=0,d0=1): OK
CONV_TRANSPOSE_1D(ne_input=[1,7,1,1],ne_kernel=[1337,1,7,1],s0=2,p0=0,d0=1): OK
CONV_TRANSPOSE_1D(ne_input=[1,7,1,1],ne_kernel=[1337,1,7,1],s0=3,p0=0,d0=1): OK
CONV_TRANSPOSE_1D(ne_input=[2,7,1,1],ne_kernel=[1337,1,7,1],s0=1,p0=0,d0=1): OK
CONV_TRANSPOSE_1D(ne_input=[2,7,1,1],ne_kernel=[1337,1,7,1],s0=2,p0=0,d0=1): OK
CONV_TRANSPOSE_1D(ne_input=[2,7,1,1],ne_kernel=[1337,1,7,1],s0=3,p0=0,d0=1): OK
CONV_TRANSPOSE_1D(ne_input=[13,7,1,1],ne_kernel=[1337,1,7,1],s0=1,p0=0,d0=1): OK
CONV_TRANSPOSE_1D(ne_input=[13,7,1,1],ne_kernel=[1337,1,7,1],s0=2,p0=0,d0=1): OK
CONV_TRANSPOSE_1D(ne_input=[13,7,1,1],ne_kernel=[1337,1,7,1],s0=3,p0=0,d0=1): OK
CONV_TRANSPOSE_1D(ne_input=[1,1,1,1],ne_kernel=[1,9,1,1],s0=1,p0=0,d0=1): OK
CONV_TRANSPOSE_1D(ne_input=[1,1,1,1],ne_kernel=[1,9,1,1],s0=2,p0=0,d0=1): OK
CONV_TRANSPOSE_1D(ne_input=[1,1,1,1],ne_kernel=[1,9,1,1],s0=3,p0=0,d0=1): OK
CONV_TRANSPOSE_1D(ne_input=[2,1,1,1],ne_kernel=[1,9,1,1],s0=1,p0=0,d0=1): OK
CONV_TRANSPOSE_1D(ne_input=[2,1,1,1],ne_kernel=[1,9,1,1],s0=2,p0=0,d0=1): OK
CONV_TRANSPOSE_1D(ne_input=[2,1,1,1],ne_kernel=[1,9,1,1],s0=3,p0=0,d0=1): OK
CONV_TRANSPOSE_1D(ne_input=[13,1,1,1],ne_kernel=[1,9,1,1],s0=1,p0=0,d0=1): OK
CONV_TRANSPOSE_1D(ne_input=[13,1,1,1],ne_kernel=[1,9,1,1],s0=2,p0=0,d0=1): OK
CONV_TRANSPOSE_1D(ne_input=[13,1,1,1],ne_kernel=[1,9,1,1],s0=3,p0=0,d0=1): OK
CONV_TRANSPOSE_1D(ne_input=[1,1,1,1],ne_kernel=[3,9,1,1],s0=1,p0=0,d0=1): OK
CONV_TRANSPOSE_1D(ne_input=[1,1,1,1],ne_kernel=[3,9,1,1],s0=2,p0=0,d0=1): OK
CONV_TRANSPOSE_1D(ne_input=[1,1,1,1],ne_kernel=[3,9,1,1],s0=3,p0=0,d0=1): OK
CONV_TRANSPOSE_1D(ne_input=[2,1,1,1],ne_kernel=[3,9,1,1],s0=1,p0=0,d0=1): OK
CONV_TRANSPOSE_1D(ne_input=[2,1,1,1],ne_kernel=[3,9,1,1],s0=2,p0=0,d0=1): OK
CONV_TRANSPOSE_1D(ne_input=[2,1,1,1],ne_kernel=[3,9,1,1],s0=3,p0=0,d0=1): OK
CONV_TRANSPOSE_1D(ne_input=[13,1,1,1],ne_kernel=[3,9,1,1],s0=1,p0=0,d0=1): OK
CONV_TRANSPOSE_1D(ne_input=[13,1,1,1],ne_kernel=[3,9,1,1],s0=2,p0=0,d0=1): OK
CONV_TRANSPOSE_1D(ne_input=[13,1,1,1],ne_kernel=[3,9,1,1],s0=3,p0=0,d0=1): OK
CONV_TRANSPOSE_1D(ne_input=[1,1,1,1],ne_kernel=[1337,9,1,1],s0=1,p0=0,d0=1): OK
CONV_TRANSPOSE_1D(ne_input=[1,1,1,1],ne_kernel=[1337,9,1,1],s0=2,p0=0,d0=1): OK
CONV_TRANSPOSE_1D(ne_input=[1,1,1,1],ne_kernel=[1337,9,1,1],s0=3,p0=0,d0=1): OK
CONV_TRANSPOSE_1D(ne_input=[2,1,1,1],ne_kernel=[1337,9,1,1],s0=1,p0=0,d0=1): OK
CONV_TRANSPOSE_1D(ne_input=[2,1,1,1],ne_kernel=[1337,9,1,1],s0=2,p0=0,d0=1): OK
CONV_TRANSPOSE_1D(ne_input=[2,1,1,1],ne_kernel=[1337,9,1,1],s0=3,p0=0,d0=1): OK
CONV_TRANSPOSE_1D(ne_input=[13,1,1,1],ne_kernel=[1337,9,1,1],s0=1,p0=0,d0=1): OK
CONV_TRANSPOSE_1D(ne_input=[13,1,1,1],ne_kernel=[1337,9,1,1],s0=2,p0=0,d0=1): OK
CONV_TRANSPOSE_1D(ne_input=[13,1,1,1],ne_kernel=[1337,9,1,1],s0=3,p0=0,d0=1): OK
CONV_TRANSPOSE_1D(ne_input=[1,7,1,1],ne_kernel=[1,9,7,1],s0=1,p0=0,d0=1): OK
CONV_TRANSPOSE_1D(ne_input=[1,7,1,1],ne_kernel=[1,9,7,1],s0=2,p0=0,d0=1): OK
CONV_TRANSPOSE_1D(ne_input=[1,7,1,1],ne_kernel=[1,9,7,1],s0=3,p0=0,d0=1): OK
CONV_TRANSPOSE_1D(ne_input=[2,7,1,1],ne_kernel=[1,9,7,1],s0=1,p0=0,d0=1): OK
CONV_TRANSPOSE_1D(ne_input=[2,7,1,1],ne_kernel=[1,9,7,1],s0=2,p0=0,d0=1): OK
CONV_TRANSPOSE_1D(ne_input=[2,7,1,1],ne_kernel=[1,9,7,1],s0=3,p0=0,d0=1): OK
CONV_TRANSPOSE_1D(ne_input=[13,7,1,1],ne_kernel=[1,9,7,1],s0=1,p0=0,d0=1): OK
CONV_TRANSPOSE_1D(ne_input=[13,7,1,1],ne_kernel=[1,9,7,1],s0=2,p0=0,d0=1): OK
CONV_TRANSPOSE_1D(ne_input=[13,7,1,1],ne_kernel=[1,9,7,1],s0=3,p0=0,d0=1): OK
CONV_TRANSPOSE_1D(ne_input=[1,7,1,1],ne_kernel=[3,9,7,1],s0=1,p0=0,d0=1): OK
CONV_TRANSPOSE_1D(ne_input=[1,7,1,1],ne_kernel=[3,9,7,1],s0=2,p0=0,d0=1): OK
CONV_TRANSPOSE_1D(ne_input=[1,7,1,1],ne_kernel=[3,9,7,1],s0=3,p0=0,d0=1): OK
CONV_TRANSPOSE_1D(ne_input=[2,7,1,1],ne_kernel=[3,9,7,1],s0=1,p0=0,d0=1): OK
CONV_TRANSPOSE_1D(ne_input=[2,7,1,1],ne_kernel=[3,9,7,1],s0=2,p0=0,d0=1): OK
CONV_TRANSPOSE_1D(ne_input=[2,7,1,1],ne_kernel=[3,9,7,1],s0=3,p0=0,d0=1): OK
CONV_TRANSPOSE_1D(ne_input=[13,7,1,1],ne_kernel=[3,9,7,1],s0=1,p0=0,d0=1): OK
CONV_TRANSPOSE_1D(ne_input=[13,7,1,1],ne_kernel=[3,9,7,1],s0=2,p0=0,d0=1): OK
CONV_TRANSPOSE_1D(ne_input=[13,7,1,1],ne_kernel=[3,9,7,1],s0=3,p0=0,d0=1): OK
CONV_TRANSPOSE_1D(ne_input=[1,7,1,1],ne_kernel=[1337,9,7,1],s0=1,p0=0,d0=1): OK
CONV_TRANSPOSE_1D(ne_input=[1,7,1,1],ne_kernel=[1337,9,7,1],s0=2,p0=0,d0=1): OK
CONV_TRANSPOSE_1D(ne_input=[1,7,1,1],ne_kernel=[1337,9,7,1],s0=3,p0=0,d0=1): OK
CONV_TRANSPOSE_1D(ne_input=[2,7,1,1],ne_kernel=[1337,9,7,1],s0=1,p0=0,d0=1): OK
CONV_TRANSPOSE_1D(ne_input=[2,7,1,1],ne_kernel=[1337,9,7,1],s0=2,p0=0,d0=1): OK
CONV_TRANSPOSE_1D(ne_input=[2,7,1,1],ne_kernel=[1337,9,7,1],s0=3,p0=0,d0=1): OK
CONV_TRANSPOSE_1D(ne_input=[13,7,1,1],ne_kernel=[1337,9,7,1],s0=1,p0=0,d0=1): OK
CONV_TRANSPOSE_1D(ne_input=[13,7,1,1],ne_kernel=[1337,9,7,1],s0=2,p0=0,d0=1): OK
CONV_TRANSPOSE_1D(ne_input=[13,7,1,1],ne_kernel=[1337,9,7,1],s0=3,p0=0,d0=1): OK
CONV_TRANSPOSE_1D(ne_input=[197,32,1,1],ne_kernel=[16,32,32,1],s0=1,p0=0,d0=1): OK
CONV_TRANSPOSE_1D(ne_input=[3,2,1,1],ne_kernel=[2,3,2,1],s0=3,p0=0,d0=1): OK
CONV_TRANSPOSE_1D(ne_input=[3,2,1,1],ne_kernel=[2,3,2,1],s0=2,p0=0,d0=1): OK
CONV_TRANSPOSE_1D(ne_input=[3,2,1,1],ne_kernel=[2,3,2,1],s0=1,p0=0,d0=1): OK
CONV_TRANSPOSE_1D(ne_input=[3,2,1,1],ne_kernel=[3,2,2,1],s0=2,p0=0,d0=1): OK
CONV_TRANSPOSE_1D(ne_input=[3,2,1,1],ne_kernel=[3,2,2,1],s0=1,p0=0,d0=1): OK
CONV_TRANSPOSE_1D(ne_input=[3,2,1,1],ne_kernel=[3,1,2,1],s0=1,p0=0,d0=1): OK
CONV_TRANSPOSE_1D(ne_input=[2,1,1,1],ne_kernel=[3,1,1,1],s0=1,p0=0,d0=1): OK
116/116 tests passed
new_pool_for_device: device 0 use vmm pool
Testing 2 devices

Backend 1/2: CANN0
Device description: Ascend910B1
Device memory: 62420 MB (62055 MB free)

/__w/Ascend-CI/Ascend-CI/llama.cpp/ggml/src/ggml-cann/aclnn_ops.cpp:3723: GGML_ASSERT(dst->ne[0] == nr) failed
libggml-base.so.0(+0x151a4)[0xffff9e6951a4]
libggml-base.so.0(ggml_print_backtrace+0x21c)[0xffff9e69565c]
libggml-base.so.0(ggml_abort+0x134)[0xffff9e695824]
libggml-cann.so.0(_Z18ggml_cann_ssm_convR25ggml_backend_cann_contextP11ggml_tensor+0x414)[0xffff9e051a84]
libggml-cann.so.0(+0x26820)[0xffff9e056820]
libggml-cann.so.0(+0x27358)[0xffff9e057358]
libggml-base.so.0(ggml_backend_graph_compute+0x14)[0xffff9e6ab184]
libggml-base.so.0(ggml_backend_compare_graph_backend+0x170)[0xffff9e6afc70]
./test-backend-ops(+0x80f7c)[0xaaaac70c0f7c]
./test-backend-ops(+0x36618)[0xaaaac7076618]
./test-backend-ops(+0x16a10)[0xaaaac7056a10]
/lib/aarch64-linux-gnu/libc.so.6(+0x273fc)[0xffff9e1f73fc]
/lib/aarch64-linux-gnu/libc.so.6(__libc_start_main+0x98)[0xffff9e1f74cc]
./test-backend-ops(+0x180f0)[0xaaaac70580f0]
```

#### SSM_CONV log (partial -> supported)
```text
new_pool_for_device: device 0 use vmm pool
Testing 2 devices

Backend 1/2: CANN0
Device description: Ascend910B1
Device memory: 62420 MB (62051 MB free)

SSM_CONV(type=f32,ne_a=[3,1024,1,1],ne_b=[3,1024,1,1]): OK
SSM_CONV(type=f32,ne_a=[6,1024,1,1],ne_b=[3,1024,1,1]): OK
SSM_CONV(type=f32,ne_a=[3,1024,4,1],ne_b=[3,1024,1,1]): OK
SSM_CONV(type=f32,ne_a=[3,1536,1,1],ne_b=[3,1536,1,1]): OK
SSM_CONV(type=f32,ne_a=[6,1536,1,1],ne_b=[3,1536,1,1]): OK
SSM_CONV(type=f32,ne_a=[3,1536,4,1],ne_b=[3,1536,1,1]): OK
SSM_CONV(type=f32,ne_a=[3,2048,1,1],ne_b=[3,2048,1,1]): OK
SSM_CONV(type=f32,ne_a=[6,2048,1,1],ne_b=[3,2048,1,1]): OK
SSM_CONV(type=f32,ne_a=[3,2048,4,1],ne_b=[3,2048,1,1]): OK
SSM_CONV(type=f32,ne_a=[4,1024,1,1],ne_b=[4,1024,1,1]): OK
SSM_CONV(type=f32,ne_a=[8,1024,1,1],ne_b=[4,1024,1,1]): OK
SSM_CONV(type=f32,ne_a=[4,1024,4,1],ne_b=[4,1024,1,1]): OK
SSM_CONV(type=f32,ne_a=[4,1536,1,1],ne_b=[4,1536,1,1]): OK
SSM_CONV(type=f32,ne_a=[8,1536,1,1],ne_b=[4,1536,1,1]): OK
SSM_CONV(type=f32,ne_a=[4,1536,4,1],ne_b=[4,1536,1,1]): OK
SSM_CONV(type=f32,ne_a=[4,2048,1,1],ne_b=[4,2048,1,1]): OK
SSM_CONV(type=f32,ne_a=[8,2048,1,1],ne_b=[4,2048,1,1]): OK
SSM_CONV(type=f32,ne_a=[4,2048,4,1],ne_b=[4,2048,1,1]): OK
SSM_CONV(type=f32,ne_a=[9,1024,1,1],ne_b=[9,1024,1,1]): OK
SSM_CONV(type=f32,ne_a=[18,1024,1,1],ne_b=[9,1024,1,1]): OK
SSM_CONV(type=f32,ne_a=[9,1024,4,1],ne_b=[9,1024,1,1]): OK
SSM_CONV(type=f32,ne_a=[9,1536,1,1],ne_b=[9,1536,1,1]): OK
SSM_CONV(type=f32,ne_a=[18,1536,1,1],ne_b=[9,1536,1,1]): OK
SSM_CONV(type=f32,ne_a=[9,1536,4,1],ne_b=[9,1536,1,1]): OK
SSM_CONV(type=f32,ne_a=[9,2048,1,1],ne_b=[9,2048,1,1]): OK
SSM_CONV(type=f32,ne_a=[18,2048,1,1],ne_b=[9,2048,1,1]): OK
SSM_CONV(type=f32,ne_a=[9,2048,4,1],ne_b=[9,2048,1,1]): OK
27/27 tests passed
Backend CANN0: OK
Backend 2/2: CPU
Skipping CPU backend
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