Convert args to LlmConfig

examples/models/llama/config/llm_config_utils.py

@@ -1,13 +1,21 @@
 # Copyright (c) Meta Platforms, Inc. and affiliates.
 # All rights reserved.
-# Copyright 2025 Arm Limited and/or its affiliates.
 #
 # This source code is licensed under the BSD-style license found in the
 # LICENSE file in the root directory of this source tree.
 
 import argparse
 
-from executorch.examples.models.llama.config.llm_config import LlmConfig
+from executorch.examples.models.llama.config.llm_config import (
+    CoreMLComputeUnit,
+    CoreMLQuantize,
+    DtypeOverride,
+    LlmConfig,
+    ModelType,
+    PreqMode,
+    Pt2eQuantize,
+    SpinQuant,
+)
 
 
 def convert_args_to_llm_config(args: argparse.Namespace) -> LlmConfig:
@@ -17,6 +25,93 @@ def convert_args_to_llm_config(args: argparse.Namespace) -> LlmConfig:
     """
     llm_config = LlmConfig()
 
-    # TODO: conversion code.
+    # BaseConfig
+    llm_config.base.model_class = ModelType(args.model)
+    llm_config.base.params = args.params
+    llm_config.base.checkpoint = args.checkpoint
+    llm_config.base.checkpoint_dir = args.checkpoint_dir
+    llm_config.base.tokenizer_path = args.tokenizer_path
+    llm_config.base.metadata = args.metadata
+    llm_config.base.use_lora = bool(args.use_lora)
+    llm_config.base.fairseq2 = args.fairseq2
+
+    # PreqMode settings
+    if args.preq_mode:
+        llm_config.base.preq_mode = PreqMode(args.preq_mode)
+        llm_config.base.preq_group_size = args.preq_group_size
+        llm_config.base.preq_embedding_quantize = args.preq_embedding_quantize
+
+    # ModelConfig
+    llm_config.model.dtype_override = DtypeOverride(args.dtype_override)
+    llm_config.model.enable_dynamic_shape = args.enable_dynamic_shape
+    llm_config.model.use_shared_embedding = args.use_shared_embedding
+    llm_config.model.use_sdpa_with_kv_cache = args.use_sdpa_with_kv_cache
+    llm_config.model.expand_rope_table = args.expand_rope_table
+    llm_config.model.use_attention_sink = args.use_attention_sink
+    llm_config.model.output_prune_map = args.output_prune_map
+    llm_config.model.input_prune_map = args.input_prune_map
+    llm_config.model.use_kv_cache = args.use_kv_cache
+    llm_config.model.quantize_kv_cache = args.quantize_kv_cache
+    llm_config.model.local_global_attention = args.local_global_attention
+
+    # ExportConfig
+    llm_config.export.max_seq_length = args.max_seq_length
+    llm_config.export.max_context_length = args.max_context_length
+    llm_config.export.output_dir = args.output_dir
+    llm_config.export.output_name = args.output_name
+    llm_config.export.so_library = args.so_library
+    llm_config.export.export_only = args.export_only
+
+    # QuantizationConfig
+    llm_config.quantization.qmode = args.quantization_mode
+    llm_config.quantization.embedding_quantize = args.embedding_quantize
+    if args.pt2e_quantize:
+        llm_config.quantization.pt2e_quantize = Pt2eQuantize(args.pt2e_quantize)
+    llm_config.quantization.group_size = args.group_size
+    if args.use_spin_quant:
+        llm_config.quantization.use_spin_quant = SpinQuant(args.use_spin_quant)
+    llm_config.quantization.use_qat = args.use_qat
+    llm_config.quantization.calibration_tasks = args.calibration_tasks
+    llm_config.quantization.calibration_limit = args.calibration_limit
+    llm_config.quantization.calibration_seq_length = args.calibration_seq_length
+    llm_config.quantization.calibration_data = args.calibration_data
+
+    # BackendConfig
+    # XNNPack
+    llm_config.backend.xnnpack.enabled = args.xnnpack
+    llm_config.backend.xnnpack.extended_ops = args.xnnpack_extended_ops
+
+    # CoreML
+    llm_config.backend.coreml.enabled = args.coreml
+    llm_config.backend.coreml.enable_state = getattr(args, "coreml_enable_state", False)
+    llm_config.backend.coreml.preserve_sdpa = getattr(
+        args, "coreml_preserve_sdpa", False
+    )
+    if args.coreml_quantize:
+        llm_config.backend.coreml.quantize = CoreMLQuantize(args.coreml_quantize)
+    llm_config.backend.coreml.ios = args.coreml_ios
+    llm_config.backend.coreml.compute_units = CoreMLComputeUnit(
+        args.coreml_compute_units
+    )
+
+    # Vulkan
+    llm_config.backend.vulkan.enabled = args.vulkan
+
+    # QNN
+    llm_config.backend.qnn.enabled = args.qnn
+    llm_config.backend.qnn.use_sha = args.use_qnn_sha
+    llm_config.backend.qnn.soc_model = args.soc_model
+    llm_config.backend.qnn.optimized_rotation_path = args.optimized_rotation_path
+    llm_config.backend.qnn.num_sharding = args.num_sharding
+
+    # MPS
+    llm_config.backend.mps.enabled = args.mps
+
+    # DebugConfig
+    llm_config.debug.profile_memory = args.profile_memory
+    llm_config.debug.profile_path = args.profile_path
+    llm_config.debug.generate_etrecord = args.generate_etrecord
+    llm_config.debug.generate_full_logits = args.generate_full_logits
+    llm_config.debug.verbose = args.verbose
 
     return llm_config