wehub-resource-sync
115 lines
3.5 KiB
Python
115 lines
3.5 KiB
Python
# 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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# test_enable_cinn_kernel_cache.py
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# test_enable_cinn_kernel_cache_2.py
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# Both tests share identical logic/configuration.
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# The first test executes the full compilation and writes the kernel to disk cache,
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# while the second verifies the loading of the persistent cache file.
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import os
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import shutil
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import time
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import unittest
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os.environ['FLAGS_prim_all'] = 'true'
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os.environ['FLAGS_prim_enable_dynamic'] = 'true'
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os.environ['FLAGS_use_cinn'] = '1'
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os.environ['FLAGS_deny_cinn_ops'] = 'slice;'
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os.environ['FLAGS_enable_cinn_kernel_cache'] = 'true'
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import paddle
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from paddle import nn
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from paddle.static import InputSpec
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class RMSNorm(nn.Layer):
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def __init__(self):
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super().__init__()
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paddle.seed(2024)
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self.hidden_size = 768
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self.drop_prob = 0.1
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self.weight = paddle.randn([self.hidden_size], dtype="float32")
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self.variance_epsilon = 1e-6
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def forward(self, hidden_states):
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variance = (hidden_states * hidden_states).sum(-1, keepdim=True) / 768
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hidden_states = (
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paddle.rsqrt(variance + self.variance_epsilon) * hidden_states
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)
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output = hidden_states * self.weight
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mask = paddle.rand(output.shape) > self.drop_prob
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output = output * mask.astype(output.dtype) / (1.0 - self.drop_prob)
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return output
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class TestCase(unittest.TestCase):
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def setUp(self):
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pass
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def tearDown(self):
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pass
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def run_net(self, input_data):
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net = RMSNorm()
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input_spec = [
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InputSpec(shape=[1, None, 768], dtype='float32'),
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]
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net = paddle.jit.to_static(
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net,
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input_spec=input_spec,
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full_graph=True,
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)
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net.eval()
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out = net(input_data)
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return out
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def clear_directory(self, path: str):
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if os.path.exists(path):
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shutil.rmtree(path)
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print(f" Clearing CINN Kernel Cache Path {path}")
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def test_case(self):
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input_data = paddle.randn([1, 2048, 768], dtype="float32")
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save_path = os.environ.get(
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'FLAGS_cinn_kernel_cache_save_path', '/tmp/cinn/'
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)
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print(f" CINN Kernel Cache Path is {save_path}")
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if os.path.exists(save_path):
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start_time_2 = time.perf_counter()
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out2 = self.run_net(input_data)
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end_time_2 = time.perf_counter()
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execution_time_2 = end_time_2 - start_time_2
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print(
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f"--- Execution Time 2 (Cache Load + Run): {execution_time_2:.4f} seconds ---"
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)
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self.clear_directory(save_path)
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else:
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start_time_1 = time.perf_counter()
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out1 = self.run_net(input_data)
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end_time_1 = time.perf_counter()
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execution_time_1 = end_time_1 - start_time_1
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print(
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f"\n--- Execution Time 1 (Compile + First Run): {execution_time_1:.4f} seconds ---"
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)
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if __name__ == "__main__":
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unittest.main()
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