64 lines
1.6 KiB
Python
64 lines
1.6 KiB
Python
# Copyright (c) 2023 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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import argparse
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import re
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class TileDesc:
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def __init__(self, Tshape, stages, Wshape, math_inst):
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self.Tshape = Tshape
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self.stages = stages
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self.Wshape = Wshape
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self.math_inst = math_inst
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def SubstituteTemplate(template, values):
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text = template
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changed = True
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while changed:
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changed = False
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for key, value in values.items():
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regex = f"\\$\\{{{key}\\}}"
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newtext = re.sub(regex, value, text)
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if newtext != text:
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changed = True
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text = newtext
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return text
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def parse_args():
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parser = argparse.ArgumentParser(
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description="The argument for generating the conv2d_bias_act kernels."
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)
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parser.add_argument(
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"--cuda_arch",
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type=str,
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default=None,
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help="The CUDA architecture to be generated.",
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)
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args = parser.parse_args()
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return args
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def write_kernel_to_file(kernel, file_name):
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with open(
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file_name,
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"w",
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) as f:
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f.write(kernel)
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f.close()
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