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964e30de1d
Summary: Breaking out of #8338 This PR is a workaround for a bug with CUDA9.2 + GCC7. Here is the error this PR fixed: .../pytorch/caffe2/operators/elementwise_ops.h: In constructor ‘caffe2::BinaryElementwiseWithArgsOp<InputTypes, Context, Functor, OutputTypeMap>::BinaryElementwiseWithArgsOp(const caffe2::OperatorDef&, caffe2::Workspace*)’: .../pytorch/caffe2/operators/elementwise_ops.h:106:189: error: ‘GetSingleArgument<bool>’ is not a member of ‘caffe2::BinaryElementwiseWithArgsOp<InputTypes, Context, Functor, OutputTypeMap>’ BinaryElementwiseWithArgsOp(const OperatorDef& operator_def, Workspace* ws) Pull Request resolved: https://github.com/pytorch/pytorch/pull/10510 Reviewed By: orionr Differential Revision: D9319742 Pulled By: mingzhe09088 fbshipit-source-id: ce59e3db14539f071f3c20301e77ca36a6fc3f81
73 lines
2.6 KiB
C++
73 lines
2.6 KiB
C++
// Copyright 2004-present Facebook. All Rights Reserved.
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#ifndef BBOX_TRANSFORM_OP_H_
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#define BBOX_TRANSFORM_OP_H_
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#include "caffe2/core/context.h"
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#include "caffe2/core/logging.h"
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#include "caffe2/core/operator.h"
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#include "caffe2/utils/math.h"
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namespace caffe2 {
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template <typename T, class Context>
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class BBoxTransformOp final : public Operator<Context> {
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public:
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BBoxTransformOp(const OperatorDef& operator_def, Workspace* ws)
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: Operator<Context>(operator_def, ws),
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weights_(this->template GetRepeatedArgument<T>(
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"weights",
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vector<T>{1.0f, 1.0f, 1.0f, 1.0f})),
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apply_scale_(
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this->template GetSingleArgument<bool>("apply_scale", true)),
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correct_transform_coords_(this->template GetSingleArgument<bool>(
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"correct_transform_coords",
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false)),
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rotated_(this->template GetSingleArgument<bool>("rotated", false)),
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angle_bound_on_(
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this->template GetSingleArgument<bool>("angle_bound_on", true)),
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angle_bound_lo_(
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this->template GetSingleArgument<int>("angle_bound_lo", -90)),
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angle_bound_hi_(
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this->template GetSingleArgument<int>("angle_bound_hi", 90)),
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clip_angle_thresh_(
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this->template GetSingleArgument<float>("clip_angle_thresh", 1.0)) {
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CAFFE_ENFORCE_EQ(
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weights_.size(),
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4,
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"weights size " + caffe2::to_string(weights_.size()) + "must be 4.");
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}
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USE_OPERATOR_CONTEXT_FUNCTIONS;
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bool RunOnDevice() override;
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protected:
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// weights [wx, wy, ww, wh] to apply to the regression target
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vector<T> weights_;
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// Transform the boxes to the scaled image space after applying the bbox
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// deltas.
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// Set to false to match the detectron code, set to true for the keypoint
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// model and for backward compatibility
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bool apply_scale_{true};
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// Correct bounding box transform coordates, see bbox_transform() in boxes.py
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// Set to true to match the detectron code, set to false for backward
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// compatibility
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bool correct_transform_coords_{false};
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// Set for RRPN case to handle rotated boxes. Inputs should be in format
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// [ctr_x, ctr_y, width, height, angle (in degrees)].
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bool rotated_{false};
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// If set, for rotated boxes in RRPN, output angles are normalized to be
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// within [angle_bound_lo, angle_bound_hi].
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bool angle_bound_on_{true};
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int angle_bound_lo_{-90};
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int angle_bound_hi_{90};
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// For RRPN, clip almost horizontal boxes within this threshold of
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// tolerance for backward compatibility. Set to negative value for
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// no clipping.
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float clip_angle_thresh_{1.0};
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};
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} // namespace caffe2
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#endif // BBOX_TRANSFORM_OP_H_
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