wehub-resource-sync
71 lines
3.1 KiB
Plaintext
Executable File
71 lines
3.1 KiB
Plaintext
Executable File
//
|
|
// MetalROIPooling.mm
|
|
// MNN
|
|
//
|
|
// Created by MNN on 2019/01/30.
|
|
// Copyright © 2018, Alibaba Group Holding Limited
|
|
//
|
|
|
|
#import "backend/metal/MetalROIPooling.hpp"
|
|
#import "backend/metal/MNNMetalContext.h"
|
|
#import "core/Macro.h"
|
|
#import "backend/metal/MetalBackend.hpp"
|
|
|
|
#if MNN_METAL_ENABLED
|
|
namespace MNN {
|
|
|
|
MetalROIPooling::MetalROIPooling(Backend *backend, float spatialScale)
|
|
: MetalExecution(backend), mSpatialScale(spatialScale) {
|
|
auto mtbn = static_cast<MetalBackend *>(backend);
|
|
auto context = (__bridge MNNMetalContext *)mtbn->context();
|
|
mShape = [context newDeviceBuffer:8 * sizeof(int) + sizeof(float) access:CPUWriteOnly];
|
|
mPipeline = [context pipelineWithName:@"ROI_pooling" fp16:mtbn->useFp16InsteadFp32()];
|
|
}
|
|
ErrorCode MetalROIPooling::onResize(const std::vector<Tensor *> &inputs, const std::vector<Tensor *> &outputs) {
|
|
auto backend = static_cast<MetalBackend *>(this->backend());
|
|
auto context = (__bridge MNNMetalContext *)backend->context();
|
|
auto input = inputs[0], roi = inputs[1], output = outputs[0];
|
|
int iw = input->width(), ih = input->height();
|
|
int ow = output->width(), oh = output->height(), oz = UP_DIV(output->channel(), 4), ob = output->batch();
|
|
|
|
((int *)mShape.contents)[0] = iw;
|
|
((int *)mShape.contents)[1] = ih;
|
|
((int *)mShape.contents)[2] = iw * ih;
|
|
((int *)mShape.contents)[3] = input->batch();
|
|
((int *)mShape.contents)[4] = ow;
|
|
((int *)mShape.contents)[5] = oh;
|
|
((int *)mShape.contents)[6] = ow * oh;
|
|
((int *)mShape.contents)[7] = ob;
|
|
((float *)mShape.contents)[8] = mSpatialScale;
|
|
return NO_ERROR;
|
|
}
|
|
|
|
void MetalROIPooling::onEncode(const std::vector<Tensor *> &inputs, const std::vector<Tensor *> &outputs, id<MTLComputeCommandEncoder> encoder) {
|
|
auto backend = static_cast<MetalBackend *>(this->backend());
|
|
auto context = (__bridge MNNMetalContext *)backend->context();
|
|
auto input = inputs[0], roi = inputs[1], output = outputs[0];
|
|
int iw = input->width(), ih = input->height();
|
|
int ow = output->width(), oh = output->height(), oz = UP_DIV(output->channel(), 4), ob = output->batch();
|
|
[encoder setComputePipelineState:mPipeline];
|
|
MetalBackend::setTensor(input, encoder, 0);
|
|
MetalBackend::setTensor(roi, encoder, 1);
|
|
MetalBackend::setTensor(output, encoder, 2);
|
|
[encoder setBuffer:mShape offset:0 atIndex:3];
|
|
[encoder dispatchThreadgroups:MTLSizeMake(UP_DIV(ow, 16), UP_DIV(oh, 16), ob * oz) threadsPerThreadgroup:MTLSizeMake(16, 16, 1)];
|
|
}
|
|
|
|
class MetalROIPoolingCreator : public MetalBackend::Creator {
|
|
public:
|
|
virtual Execution *onCreate(const std::vector<Tensor *> &inputs, const MNN::Op *op, Backend *backend, const std::vector<Tensor *>& outputs) const {
|
|
auto roi = inputs[1];
|
|
if (TensorUtils::getDescribe(roi)->dimensionFormat == MNN_DATA_FORMAT_NC4HW4) {
|
|
// Don't support old roipooling
|
|
return nullptr;
|
|
}
|
|
return new MetalROIPooling(backend, op->main_as_RoiParameters()->spatialScale());
|
|
}
|
|
};
|
|
REGISTER_METAL_OP_CREATOR(MetalROIPoolingCreator, OpType_ROIPooling);
|
|
} // namespace MNN
|
|
#endif /* MNN_METAL_ENABLED */
|