58 lines
1.7 KiB
Python
58 lines
1.7 KiB
Python
# Licensed to the Apache Software Foundation (ASF) under one
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# or more contributor license agreements. See the NOTICE file
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# distributed with this work for additional information
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# regarding copyright ownership. The ASF licenses this file
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# to you under the Apache License, Version 2.0 (the
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# "License"); you may not use this file except in compliance
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# with the License. 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,
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# software distributed under the License is distributed on an
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# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
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# KIND, either express or implied. See the License for the
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# specific language governing permissions and limitations
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# under the License.
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"""ROI Pool operator"""
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from ..base import Expr
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from . import _ffi_api
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def roi_pool(
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data: Expr,
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rois: Expr,
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pooled_size: int | tuple[int, int] | list[int],
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spatial_scale: float,
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layout: str = "NCHW",
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):
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"""ROI Pool operator.
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Parameters
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----------
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data : relax.Expr
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4-D input tensor.
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rois : relax.Expr
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2-D input tensor with shape `(num_roi, 5)` in
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`[batch_idx, x1, y1, x2, y2]` format.
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pooled_size : Union[int, Tuple[int, int], List[int]]
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Output pooled size.
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spatial_scale : float
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Ratio of input feature map height (or width) to raw image height (or width).
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layout : str, optional
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Layout of the input data. Currently only `NCHW` is supported.
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Returns
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-------
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result : relax.Expr
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The computed result.
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"""
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if isinstance(pooled_size, int):
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pooled_size = (pooled_size, pooled_size)
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return _ffi_api.roi_pool(data, rois, pooled_size, spatial_scale, layout)
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