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CUDA: no -sm row for very small matrices (#10185)
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@ -2978,6 +2978,17 @@ static bool ggml_backend_cuda_device_supports_op(ggml_backend_dev_t dev, const g
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{
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struct ggml_tensor * a = op->src[0];
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struct ggml_tensor * b = op->src[1];
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// for small weight matrices the active device can end up without any rows, don't use row split in those cases
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// this avoids some edge cases (and the performance would not be good anyways)
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if (a->buffer && ggml_backend_buft_is_cuda_split(a->buffer->buft)) {
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ggml_backend_cuda_split_buffer_type_context * buft_ctx = (ggml_backend_cuda_split_buffer_type_context *) a->buffer->buft->context;
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int64_t row_low;
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int64_t row_high;
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get_row_split(&row_low, &row_high, a, buft_ctx->tensor_split, dev_ctx->device);
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if (row_low == row_high) {
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return false;
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}
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}
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if (b->type == GGML_TYPE_F16 && a->type != GGML_TYPE_F16) {
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return false;
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}
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