139 bool averagePoolNhwc(const float* inputData, const Shape& inputShape, const PoolingParam& param,  in averagePoolNhwc()  argument
142     auto op_params = param.toTfliteParam(outputShape);  in averagePoolNhwc()
149 bool averagePoolNhwc(const _Float16* inputData, const Shape& inputShape, const PoolingParam& param,  in averagePoolNhwc()  argument
156     averagePoolNhwc(inputDataFloat32.data(), inputShape, param, outputDataFloat32.data(),  in averagePoolNhwc()
162 bool averagePoolNhwc(const uint8_t* inputData, const Shape& inputShape, const PoolingParam& param,  in averagePoolNhwc()  argument
165     auto op_params = param.toTfliteParam(outputShape);  in averagePoolNhwc()
172 bool averagePoolNhwc(const int8_t* inputData, const Shape& inputShape, const PoolingParam& param,  in averagePoolNhwc()  argument
175     auto op_params = param.toTfliteParam(outputShape);  in averagePoolNhwc()
185 bool l2PoolNhwc(const float* inputData, const Shape& inputShape, const PoolingParam& param,  in l2PoolNhwc()  argument
188     auto op_params = param.toTfliteParam(outputShape);  in l2PoolNhwc()
195 bool l2PoolNhwc(const _Float16* inputData, const Shape& inputShape, const PoolingParam& param,  in l2PoolNhwc()  argument
202     l2PoolNhwc(inputDataFloat32.data(), inputShape, param, outputDataFloat32.data(), outputShape);  in l2PoolNhwc()
207 bool maxPoolNhwc(const float* inputData, const Shape& inputShape, const PoolingParam& param,  in maxPoolNhwc()  argument
210     auto op_params = param.toTfliteParam(outputShape);  in maxPoolNhwc()
217 bool maxPoolNhwc(const uint8_t* inputData, const Shape& inputShape, const PoolingParam& param,  in maxPoolNhwc()  argument
220     auto op_params = param.toTfliteParam(outputShape);  in maxPoolNhwc()
227 bool maxPoolNhwc(const int8_t* inputData, const Shape& inputShape, const PoolingParam& param,  in maxPoolNhwc()  argument
230     auto op_params = param.toTfliteParam(outputShape);  in maxPoolNhwc()
239 bool maxPoolNhwc(const _Float16* inputData, const Shape& inputShape, const PoolingParam& param,  in maxPoolNhwc()  argument
246     maxPoolNhwc(inputData_float32.data(), inputShape, param, outputData_float32.data(),  in maxPoolNhwc()
253 bool averagePool(const T* inputData, const Shape& inputShape, const PoolingParam& param,  in averagePool()  argument
255     InputWithLayout<T> input(param.useNchw);  in averagePool()
256     OutputWithLayout<T> output(param.useNchw);  in averagePool()
259     NN_RET_CHECK(averagePoolNhwc(input.getNhwcBuffer(), input.getNhwcShape(), param,  in averagePool()
266 bool l2Pool(const T* inputData, const Shape& inputShape, const PoolingParam& param, T* outputData,  in l2Pool()  argument
268     InputWithLayout<T> input(param.useNchw);  in l2Pool()
269     OutputWithLayout<T> output(param.useNchw);  in l2Pool()
272     NN_RET_CHECK(l2PoolNhwc(input.getNhwcBuffer(), input.getNhwcShape(), param,  in l2Pool()
279 bool maxPool(const T* inputData, const Shape& inputShape, const PoolingParam& param, T* outputData,  in maxPool()  argument
281     InputWithLayout<T> input(param.useNchw);  in maxPool()
282     OutputWithLayout<T> output(param.useNchw);  in maxPool()
285     NN_RET_CHECK(maxPoolNhwc(input.getNhwcBuffer(), input.getNhwcShape(), param,  in maxPool()
360     PoolingParam param;  in prepare()  local
361     NN_RET_CHECK(param.initialize(context));  in prepare()
365     uint32_t height = getSizeOfDimension(input, param.useNchw ? 2 : 1);  in prepare()
366     uint32_t width = getSizeOfDimension(input, param.useNchw ? 3 : 2);  in prepare()
367     uint32_t channels = getSizeOfDimension(input, param.useNchw ? 1 : 3);  in prepare()
372     uint32_t outWidth = computeOutSize(width, param.filter_width, param.stride_width,  in prepare()
373                                        param.padding_left, param.padding_right);  in prepare()
374     uint32_t outHeight = computeOutSize(height, param.filter_height, param.stride_height,  in prepare()
375                                         param.padding_top, param.padding_bottom);  in prepare()
378     if (param.useNchw) {  in prepare()
389                     context->getInputShape(kInputTensor), param,      \
396     PoolingParam param;  in executeAveragePool()  local
397     NN_RET_CHECK(param.initialize(context));  in executeAveragePool()
411     PoolingParam param;  in executeL2Pool()  local
412     NN_RET_CHECK(param.initialize(context));  in executeL2Pool()
424     PoolingParam param;  in executeMaxPool()  local
425     NN_RET_CHECK(param.initialize(context));  in executeMaxPool()