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https://github.com/vladmandic/automatic
synced 2026-09-19 09:14:35 +02:00
OpenVINO 4 bit support for CPUs
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@@ -229,12 +229,16 @@ def openvino_compile(gm: GraphModule, *args, model_hash_str: str = None, file_na
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om.inputs[idx].get_node().set_element_type(dtype_mapping[input_data.dtype])
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om.inputs[idx].get_node().set_partial_shape(PartialShape(list(input_data.shape)))
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om.validate_nodes_and_infer_types()
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if shared.opts.nncf_compress_weights:
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om = nncf.compress_weights(om)
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if shared.opts.nncf_compress_weights and not (shared.compiled_model_state.compiling_vae and not shared.opts.nncf_compress_vae_weights):
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if shared.compiled_model_state.compiling_vae or shared.opts.nncf_compress_weights_mode == "INT8":
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om = nncf.compress_weights(om)
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else:
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om = nncf.compress_weights(om, mode=getattr(nncf.CompressWeightsMode, shared.opts.nncf_compress_weights_mode), group_size=8, ratio=shared.opts.nncf_compress_weights_raito)
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if model_hash_str is not None:
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core.set_property({'CACHE_DIR': cache_root + '/blob'})
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shared.compiled_model_state.compiling_vae = False
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compiled_model = core.compile_model(om, device)
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return compiled_model
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@@ -257,13 +261,16 @@ def openvino_compile_cached_model(cached_model_path, *example_inputs):
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om.inputs[idx].get_node().set_element_type(dtype_mapping[input_data.dtype])
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om.inputs[idx].get_node().set_partial_shape(PartialShape(list(input_data.shape)))
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om.validate_nodes_and_infer_types()
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if shared.opts.nncf_compress_weights:
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om = nncf.compress_weights(om)
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if shared.opts.nncf_compress_weights and not (shared.compiled_model_state.compiling_vae and not shared.opts.nncf_compress_vae_weights):
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if shared.compiled_model_state.compiling_vae or shared.opts.nncf_compress_weights_mode == "INT8":
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om = nncf.compress_weights(om)
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else:
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om = nncf.compress_weights(om, mode=getattr(nncf.CompressWeightsMode, shared.opts.nncf_compress_weights_mode), group_size=8, ratio=shared.opts.nncf_compress_weights_raito)
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core.set_property({'CACHE_DIR': shared.opts.openvino_cache_path + '/blob'})
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shared.compiled_model_state.compiling_vae = False
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compiled_model = core.compile_model(om, get_device())
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return compiled_model
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def openvino_execute(gm: GraphModule, *args, executor_parameters=None, partition_id, file_name=""):
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