mirror of https://github.com/alibaba/MNN.git
85 lines
3.7 KiB
Plaintext
Executable File
85 lines
3.7 KiB
Plaintext
Executable File
//
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// MetalInterp.mm
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// MNN
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//
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// Created by MNN on 2019/01/30.
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// Copyright © 2018, Alibaba Group Holding Limited
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//
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#import "backend/metal/MetalInterp.hpp"
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#import "backend/metal/MNNMetalContext.h"
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#import "core/Macro.h"
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#import "backend/metal/MetalBackend.hpp"
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#if MNN_METAL_ENABLED
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namespace MNN {
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MetalInterp::MetalInterp(Backend *backend, const Op* op)
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: MetalExecution(backend) {
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auto interpParam = op->main_as_Interp();
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auto mBk = static_cast<MetalBackend *>(this->backend());
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auto context = (__bridge MNNMetalContext *)mBk->context();
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mCordTransform = [context newDeviceBuffer:4 * sizeof(float) access:CPUWriteOnly];
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((float *)mCordTransform.contents)[0] = interpParam->widthScale();
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((float *)mCordTransform.contents)[1] = interpParam->widthOffset();
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((float *)mCordTransform.contents)[2] = interpParam->heightScale();
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((float *)mCordTransform.contents)[3] = interpParam->heightOffset();
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mReiszeType = interpParam->resizeType();
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mShape = [context newDeviceBuffer:7 * sizeof(int) access:CPUWriteOnly];
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}
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ErrorCode MetalInterp::onResize(const std::vector<Tensor *> &inputs, const std::vector<Tensor *> &outputs) {
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auto backend = static_cast<MetalBackend *>(this->backend());
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auto context = (__bridge MNNMetalContext *)backend->context();
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auto input = inputs[0], output = outputs[0];
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int iw = input->width(), ih = input->height();
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int ow = output->width(), oh = output->height(), slice = UP_DIV(output->channel(), 4) * output->batch();
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((int *)mShape.contents)[0] = iw;
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((int *)mShape.contents)[1] = ih;
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((int *)mShape.contents)[2] = iw * ih;
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((int *)mShape.contents)[3] = ow;
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((int *)mShape.contents)[4] = oh;
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((int *)mShape.contents)[5] = ow * oh;
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((int *)mShape.contents)[6] = slice;
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if (mReiszeType == 2 || mReiszeType == 1) {
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if (2 == mReiszeType) {
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mPipeline = [context pipelineWithName:@"resize_bilinear" fp16:backend->useFp16InsteadFp32()];
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} else {
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mPipeline = [context pipelineWithName:@"resize_nearest" fp16:backend->useFp16InsteadFp32()];
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}
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} else if (mReiszeType == 3) {
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mPipeline = [context pipelineWithName:@"resize_cubic" fp16:backend->useFp16InsteadFp32()];
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} else {
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MNN_ASSERT(false);
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}
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mThreads = [context computeBestGroupAndLocal:mPipeline threads:MTLSizeMake(ow, oh, slice)];
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return NO_ERROR;
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}
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void MetalInterp::onEncode(const std::vector<Tensor *> &inputs, const std::vector<Tensor *> &outputs, id<MTLComputeCommandEncoder> encoder) {
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auto input = inputs[0], output = outputs[0];
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// encode
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[encoder setComputePipelineState:mPipeline];
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[encoder setBuffer:(id<MTLBuffer>)((MetalRuntimeAllocator::MetalBufferAlloc *)input->deviceId())->getBuffer() offset:TensorUtils::getDescribe(input)->extra.offset atIndex:0];
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[encoder setBuffer:(id<MTLBuffer>)((MetalRuntimeAllocator::MetalBufferAlloc *)output->deviceId())->getBuffer() offset:TensorUtils::getDescribe(output)->extra.offset atIndex:1];
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[encoder setBuffer:mShape offset:0 atIndex:2];
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[encoder setBuffer:mCordTransform offset:0 atIndex:3];
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[encoder dispatchThreadgroups:mThreads.first threadsPerThreadgroup:mThreads.second];
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}
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class MetalInterpCreator : public MetalBackend::Creator {
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public:
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virtual Execution *onCreate(const std::vector<Tensor *> &inputs, const MNN::Op *op, Backend *backend, const std::vector<Tensor *>& outputs) const {
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auto interpParam = op->main_as_Interp();
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auto type = interpParam->resizeType();
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if (type > 3) {
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return nullptr;
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}
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return new MetalInterp(backend, op);
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}
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};
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REGISTER_METAL_OP_CREATOR(MetalInterpCreator, OpType_Interp);
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} // namespace MNN
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#endif /* MNN_METAL_ENABLED */
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