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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,135 @@ | ||
| # Copyright 2024 Advanced Micro Devices, Inc | ||
| # | ||
| # Licensed under the Apache License v2.0 with LLVM Exceptions. | ||
| # See https://llvm.org/LICENSE.txt for license information. | ||
| # SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception | ||
|
|
||
| import os | ||
| from pathlib import Path | ||
| import subprocess | ||
| import logging | ||
|
|
||
| import iree.compiler as ireec | ||
|
|
||
| logger = logging.getLogger("eval") | ||
|
|
||
| logger.setLevel(logging.INFO) | ||
|
|
||
| logger.root.handlers[0].setFormatter( | ||
| logging.Formatter(fmt="\n%(levelname)s:%(name)-8s %(message)s") | ||
| ) | ||
|
|
||
|
|
||
| class ExportArtifacts: | ||
| def __init__( | ||
| self, | ||
| irpa_path: str, | ||
| batch_size: int, | ||
| iree_hip_target: str, | ||
| iree_hal_target_backends: str, | ||
| attention_kernel: str, | ||
| tensor_parallelism_size: int, | ||
| ): | ||
| self.sharktank_dir = str( | ||
| Path(os.path.dirname(os.path.abspath(__file__))).parent.parent.parent | ||
| ) | ||
| self.irpa_path = irpa_path | ||
| self.batch_size = batch_size | ||
| self.iree_hip_target = iree_hip_target | ||
| self.iree_hal_target_backends = iree_hal_target_backends | ||
| self.attention_kernel = attention_kernel | ||
| self.tensor_parallelism_size = tensor_parallelism_size | ||
|
|
||
| def export_to_mlir( | ||
| self, | ||
| mlir_path: str, | ||
| json_path: str, | ||
| ): | ||
| export_args = [ | ||
| "python3", | ||
| "-m", | ||
| "sharktank.examples.export_paged_llm_v1", | ||
| "--irpa-file", | ||
| str(self.irpa_path), | ||
| "--output-mlir", | ||
| mlir_path, | ||
| "--output-config", | ||
| json_path, | ||
| "--bs", | ||
| str(self.batch_size), | ||
| ] | ||
| if self.attention_kernel == "decomposed": | ||
| export_args.append("--attention-kernel") | ||
| export_args.append(self.attention_kernel) | ||
| elif self.attention_kernel == "torch_sdpa": | ||
| raise NotImplementedError("attention_kernel torch_sdpa not implemented yet") | ||
| if self.tensor_parallelism_size: | ||
| export_args.append("--tensor-parallelism-size") | ||
| export_args.append(str(self.tensor_parallelism_size)) | ||
|
|
||
| cmd = subprocess.list2cmdline(export_args) | ||
|
|
||
| logger.info( | ||
| f"export_args: {export_args}\n self.sharktank_dir: {self.sharktank_dir}" | ||
| ) | ||
|
|
||
| cwd = self.sharktank_dir + "/sharktank" | ||
|
|
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| logger.info(f"Exporting mlir:\n" f"cd {cwd} && {cmd}") | ||
| proc = subprocess.run(cmd, shell=True, capture_output=True, cwd=cwd) | ||
| return_code = proc.returncode | ||
| if return_code != 0: | ||
| logger.error("Error exporting mlir: ", return_code) | ||
|
|
||
| def compile_to_vmfb( | ||
| self, | ||
| mlir_path, | ||
| vmfb_path, | ||
| ): | ||
| compile_flags = ["--iree-hip-target=" + self.iree_hip_target] | ||
|
|
||
| ireec.compile_file( | ||
| input_file=mlir_path, | ||
| target_backends=[self.iree_hal_target_backends], | ||
| extra_args=compile_flags, | ||
| output_file=vmfb_path, | ||
| ) | ||
|
|
||
| def create_file(self, suffix, prefix): | ||
| file_path = Path(prefix).with_suffix(suffix) | ||
| f = open(file_path, "w") | ||
| return file_path | ||
|
|
||
| def get_artifacts(self): | ||
|
|
||
| self.dir_path = self.sharktank_dir + "/" + "tmp_perplexity_ci_artifacts/" | ||
| temp_dir = Path(self.dir_path) | ||
| temp_dir.mkdir(parents=True, exist_ok=True) | ||
|
|
||
| model_name = ( | ||
| str(self.irpa_path).split("/")[-1].split(".")[0] | ||
| + "_" | ||
| + self.attention_kernel | ||
| ) | ||
| mlir_path = str( | ||
| self.create_file(suffix=".mlir", prefix=self.dir_path + model_name) | ||
| ) | ||
| json_path = str( | ||
| self.create_file(suffix=".json", prefix=self.dir_path + model_name) | ||
| ) | ||
| vmfb_path = str( | ||
| self.create_file(suffix=".vmfb", prefix=self.dir_path + model_name) | ||
| ) | ||
|
|
||
| if self.attention_kernel == "decomposed": | ||
| self.export_to_mlir( | ||
| mlir_path=mlir_path, | ||
| json_path=json_path, | ||
| ) | ||
|
|
||
| self.compile_to_vmfb( | ||
| mlir_path=mlir_path, | ||
| vmfb_path=vmfb_path, | ||
| ) | ||
|
|
||
| return vmfb_path |
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