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feat: auto fit tensors across devices to guarantee optimal load (#1736)
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@@ -508,6 +508,12 @@ ArgOptions SDContextParams::get_options() {
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"--eager-load",
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"load all params into the params backend at model-load time instead of lazily on first use (defaults to false)",
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true, &eager_load},
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{"",
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"--auto-fit",
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"pick the diffusion/te/vae device placements automatically from the model size and the per-device "
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"memory budgets (--max-vram; defaults to free memory minus a small margin). Overrides --backend and "
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"--params-backend; may split modules across GPUs (--split-mode still selects layer or row)",
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true, &auto_fit},
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{"",
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"--force-sdxl-vae-conv-scale",
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"force use of conv scale on sdxl vae",
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@@ -838,6 +844,7 @@ std::string SDContextParams::to_string() const {
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<< " backend: \"" << backend << "\",\n"
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<< " params_backend: \"" << params_backend << "\",\n"
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<< " split_mode: \"" << split_mode << "\",\n"
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<< " auto_fit: " << (auto_fit ? "true" : "false") << ",\n"
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<< " enable_mmap: " << (enable_mmap ? "true" : "false") << ",\n"
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<< " control_net_cpu: " << (control_net_cpu ? "true" : "false") << ",\n"
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<< " clip_on_cpu: " << (clip_on_cpu ? "true" : "false") << ",\n"
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@@ -919,6 +926,7 @@ sd_ctx_params_t SDContextParams::to_sd_ctx_params_t(bool taesd_preview) {
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sd_ctx_params.backend = effective_backend.c_str();
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sd_ctx_params.params_backend = effective_params_backend.c_str();
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sd_ctx_params.split_mode = split_mode.c_str();
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sd_ctx_params.auto_fit = auto_fit;
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sd_ctx_params.rpc_servers = rpc_servers.c_str();
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return sd_ctx_params;
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}
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