mirror of https://github.com/alibaba/MNN.git
92 lines
3.5 KiB
Plaintext
Executable File
92 lines
3.5 KiB
Plaintext
Executable File
//
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// MetalQuantizedAvgPool.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/MetalQuantizedAvgPool.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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MetalQuantizedAvgPool::MetalQuantizedAvgPool(Backend *backend, const QuantizedAvgPool *pool)
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: Execution(backend),
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mKernelX(pool->kernelX()),
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mKernelY(pool->kernelY()),
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mStrideX(pool->strideX()),
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mStrideY(pool->strideY()),
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mPadType(pool->padType()),
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mPadX(pool->padX()),
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mPadY(pool->padY()),
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mActivationMin(pool->outputActivationMin()),
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mActivationMax(pool->outputActivationMax()) {
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// nothing to do
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}
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ErrorCode MetalQuantizedAvgPool::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 strideWidth = mStrideX;
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int strideHeight = mStrideY;
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int padWidth = mPadX;
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int padHeight = mPadY;
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int kernelWidth = (int)MIN(mKernelX, input->width());
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int kernelHeight = (int)MIN(mKernelY, input->height());
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if (mPadType == PoolPadType_SAME) {
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padWidth = MAX(0, ((output->width() - 1) * mStrideX + mKernelX - input->width()) / 2);
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padHeight = MAX(0, ((output->height() - 1) * mStrideY + mKernelY - input->height()) / 2);
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}
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mConstBuffer = [context newDeviceBuffer:14 * sizeof(int) access:CPUWriteOnly];
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auto contents = (int *)mConstBuffer.contents;
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contents[0] = input->batch();
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contents[1] = input->height();
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contents[2] = input->width();
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contents[3] = output->height();
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contents[4] = output->width();
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contents[5] = input->channel();
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contents[6] = kernelWidth;
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contents[7] = kernelHeight;
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contents[8] = strideWidth;
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contents[9] = strideHeight;
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contents[10] = padWidth;
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contents[11] = padHeight;
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contents[12] = mActivationMin;
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contents[13] = mActivationMax;
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return NO_ERROR;
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}
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ErrorCode MetalQuantizedAvgPool::onExecute(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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auto b = output->batch(), h = output->height(), w = output->width(), c = output->channel();
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auto encoder = [context encoder];
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auto bandwidth = [context load:@"quantized_avg_pool" encoder:encoder];
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[encoder setBuffer:(__bridge id<MTLBuffer>)(void *)input->deviceId() offset:0 atIndex:0];
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[encoder setBuffer:(__bridge id<MTLBuffer>)(void *)output->deviceId() offset:0 atIndex:1];
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[encoder setBuffer:mConstBuffer offset:0 atIndex:2];
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[context dispatchEncoder:encoder threads:{ (NSUInteger) c, (NSUInteger)w, (NSUInteger)b *h } bandwidth:bandwidth];
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[encoder endEncoding];
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MNN_PRINT_ENCODER(context, encoder);
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return NO_ERROR;
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}
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class MetalQuantizedAvgPoolCreator : 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 {
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return new MetalQuantizedAvgPool(backend, op->main_as_QuantizedAvgPool());
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}
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};
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REGISTER_METAL_OP_CREATOR(MetalQuantizedAvgPoolCreator, OpType_QuantizedAvgPool);
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} // namespace MNN
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#endif /* MNN_METAL_ENABLED */
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