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3a6058e445
* add stable ci * fix * update * fix * rename tests dir;fix stable ci bug * add timeout limit * update
107 lines
4.4 KiB
Python
107 lines
4.4 KiB
Python
"""
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# Copyright (c) 2025 PaddlePaddle Authors. All Rights Reserved.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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"""
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import unittest
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import paddle
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from fastdeploy.model_executor.forward_meta import ForwardMeta
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class TOYGPUModelRunner:
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def __init__(self):
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self.forward_meta: ForwardMeta = None
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self.max_num_seqs = 64
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self.max_model_len = 1024
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self.pre_max_block_num = 16
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# Not the tensor in real sense, just for make ForwardMeta
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self.share_inputs = {}
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self.share_inputs["input_ids"] = paddle.full(
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[self.max_num_seqs, self.max_model_len],
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0,
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dtype="int64",
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)
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self.share_inputs["ids_remove_padding"] = paddle.full(
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[self.max_num_seqs * self.max_model_len],
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0,
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dtype="int64",
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)
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self.share_inputs["decoder_batch_ids"] = None
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self.share_inputs["decoder_tile_ids_per_batch"] = None
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self.share_inputs["decoder_num_blocks_cpu"] = None
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self.share_inputs["max_len_tensor_cpu"] = None
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self.share_inputs["seq_lens_encoder"] = paddle.full([self.max_num_seqs, 1], 0, dtype="int32")
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self.share_inputs["seq_lens_decoder"] = paddle.full([self.max_num_seqs, 1], 0, dtype="int32")
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self.share_inputs["seq_lens_this_time"] = paddle.full([self.max_num_seqs, 1], 0, dtype="int32")
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self.share_inputs["batch_id_per_token"] = paddle.full(
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[self.max_num_seqs * self.max_model_len, 1], 0, dtype="int32"
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)
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self.share_inputs["cu_seqlens_q"] = paddle.full([self.max_num_seqs + 1, 1], 0, dtype="int32")
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self.share_inputs["cu_seqlens_k"] = paddle.full([self.max_num_seqs + 1, 1], 0, dtype="int32")
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self.share_inputs["block_tables"] = paddle.full([self.max_num_seqs, self.pre_max_block_num], -1, dtype="int32")
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self.share_inputs["caches"] = [
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paddle.full([self.max_num_seqs, 4, self.max_model_len, self.pre_max_block_num], 0, dtype="int32")
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] * 16
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def initialize_forward_meta(self):
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"""
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Initialize forward meta
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"""
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# Ignore the attentionbackbend for simplify
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self.forward_meta = ForwardMeta(
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input_ids=self.share_inputs["input_ids"],
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ids_remove_padding=self.share_inputs["ids_remove_padding"],
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# rotary_embs=self.share_inputs["rope_emb"],# Ignore the rope_emb for simplify
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# attn_backend=self.attn_backends[0],# Ignore the attn_backbend for simplify
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decoder_batch_ids=self.share_inputs["decoder_batch_ids"],
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decoder_tile_ids_per_batch=self.share_inputs["decoder_tile_ids_per_batch"],
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decoder_num_blocks_cpu=self.share_inputs["decoder_num_blocks_cpu"],
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max_len_tensor_cpu=self.share_inputs["max_len_tensor_cpu"],
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seq_lens_encoder=self.share_inputs["seq_lens_encoder"],
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seq_lens_decoder=self.share_inputs["seq_lens_decoder"],
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seq_lens_this_time=self.share_inputs["seq_lens_this_time"],
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batch_id_per_token=self.share_inputs["batch_id_per_token"],
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cu_seqlens_q=self.share_inputs["cu_seqlens_q"],
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cu_seqlens_k=self.share_inputs["cu_seqlens_k"],
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block_tables=self.share_inputs["block_tables"],
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caches=self.share_inputs["caches"],
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)
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class Test(unittest.TestCase):
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def setUp(self):
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"""
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Initialize the test environment
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"""
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self.runner = TOYGPUModelRunner()
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def test_case(self):
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"""
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Check if the CustomAllreduce function works properly.
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"""
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print(
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"in test/model_executor/test_forward_meta_str.py, forward_meta :", self.runner.forward_meta
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) # Get None, Not Error
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self.runner.initialize_forward_meta()
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print(
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"in test/model_executor/test_forward_meta_str.py, forward_meta :", self.runner.forward_meta
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) # Get information
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if __name__ == "__main__":
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unittest.main()
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