Comments (4)
Hmm, FasterTransformer has only been tested on Compute Capability >= 7.0, and the 1070 is 6.0. So it's possible something it uses is limited to more recent cards. For now I'll add a note to the README but I'll leave this open to investigate further.
The line that's failing is:
check_cuda_error( cub::DeviceSegmentedRadixSort::SortPairsDescending(nullptr, cub_temp_storage_size, log_probs, (T*)nullptr, id_vals, (int*)nullptr, vocab_size * batch_size, batch_size, begin_offset_buf, offset_buf + 1, 0, // begin_bit sizeof(T) * 8, // end_bit = sizeof(KeyT) * 8 stream)); // cudaStream_t
Thanks for reply! I will get a better card later.
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Hmm, FasterTransformer has only been tested on Compute Capability >= 7.0, and the 1070 is 6.0. So it's possible something it uses is limited to more recent cards. For now I'll add a note to the README but I'll leave this open to investigate further.
The line that's failing is:
check_cuda_error(
cub::DeviceSegmentedRadixSort::SortPairsDescending(nullptr,
cub_temp_storage_size,
log_probs,
(T*)nullptr,
id_vals,
(int*)nullptr,
vocab_size * batch_size,
batch_size,
begin_offset_buf,
offset_buf + 1,
0, // begin_bit
sizeof(T) * 8, // end_bit = sizeof(KeyT) * 8
stream)); // cudaStream_t
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After my testing, now this works fine on 1060 (Compute Capability 6.1).
BTW, the Computer Capability of 1070 should also be 6.1.
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Closing this as @Frederisk finds it working. If still an issue, please reopen.
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Related Issues (20)
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- It was working fine before... HOT 1
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- help me HOT 1
- What is the comparison of these model in huggingface? HOT 2
- Python Backend: "Expected all tensors to be on the same device, but found at least two devices, cpu and cuda:0" HOT 2
- [promptlib] proxy {"cause":{}} HOT 1
- ollama HOT 2
- Company Proxy HOT 1
- is documentation outdated?
- Jetbrains Support
- RTX 4060 Unsupported Message
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