143 bool averagePoolNhwc(const float* inputData, const Shape& inputShape, const PoolingParam& param,  in averagePoolNhwc()  argument
146     auto op_params = param.toTfliteParam(outputShape);  in averagePoolNhwc()
153 bool averagePoolNhwc(const _Float16* inputData, const Shape& inputShape, const PoolingParam& param,  in averagePoolNhwc()  argument
160     averagePoolNhwc(inputDataFloat32.data(), inputShape, param, outputDataFloat32.data(),  in averagePoolNhwc()
166 bool averagePoolNhwc(const uint8_t* inputData, const Shape& inputShape, const PoolingParam& param,  in averagePoolNhwc()  argument
169     auto op_params = param.toTfliteParam(outputShape);  in averagePoolNhwc()
176 bool averagePoolNhwc(const int8_t* inputData, const Shape& inputShape, const PoolingParam& param,  in averagePoolNhwc()  argument
179     auto op_params = param.toTfliteParam(outputShape);  in averagePoolNhwc()
189 bool l2PoolNhwc(const float* inputData, const Shape& inputShape, const PoolingParam& param,  in l2PoolNhwc()  argument
192     auto op_params = param.toTfliteParam(outputShape);  in l2PoolNhwc()
199 bool l2PoolNhwc(const _Float16* inputData, const Shape& inputShape, const PoolingParam& param,  in l2PoolNhwc()  argument
206     l2PoolNhwc(inputDataFloat32.data(), inputShape, param, outputDataFloat32.data(), outputShape);  in l2PoolNhwc()
211 bool maxPoolNhwc(const float* inputData, const Shape& inputShape, const PoolingParam& param,  in maxPoolNhwc()  argument
214     auto op_params = param.toTfliteParam(outputShape);  in maxPoolNhwc()
221 bool maxPoolNhwc(const uint8_t* inputData, const Shape& inputShape, const PoolingParam& param,  in maxPoolNhwc()  argument
224     auto op_params = param.toTfliteParam(outputShape);  in maxPoolNhwc()
231 bool maxPoolNhwc(const int8_t* inputData, const Shape& inputShape, const PoolingParam& param,  in maxPoolNhwc()  argument
234     auto op_params = param.toTfliteParam(outputShape);  in maxPoolNhwc()
243 bool maxPoolNhwc(const _Float16* inputData, const Shape& inputShape, const PoolingParam& param,  in maxPoolNhwc()  argument
250     maxPoolNhwc(inputData_float32.data(), inputShape, param, outputData_float32.data(),  in maxPoolNhwc()
257 bool averagePool(const T* inputData, const Shape& inputShape, const PoolingParam& param,  in averagePool()  argument
259     InputWithLayout<T> input(param.useNchw);  in averagePool()
260     OutputWithLayout<T> output(param.useNchw);  in averagePool()
263     NN_RET_CHECK(averagePoolNhwc(input.getNhwcBuffer(), input.getNhwcShape(), param,  in averagePool()
270 bool l2Pool(const T* inputData, const Shape& inputShape, const PoolingParam& param, T* outputData,  in l2Pool()  argument
272     InputWithLayout<T> input(param.useNchw);  in l2Pool()
273     OutputWithLayout<T> output(param.useNchw);  in l2Pool()
276     NN_RET_CHECK(l2PoolNhwc(input.getNhwcBuffer(), input.getNhwcShape(), param,  in l2Pool()
283 bool maxPool(const T* inputData, const Shape& inputShape, const PoolingParam& param, T* outputData,  in maxPool()  argument
285     InputWithLayout<T> input(param.useNchw);  in maxPool()
286     OutputWithLayout<T> output(param.useNchw);  in maxPool()
289     NN_RET_CHECK(maxPoolNhwc(input.getNhwcBuffer(), input.getNhwcShape(), param,  in maxPool()
301     PoolingParam param;  in prepare()  local
302     NN_RET_CHECK(param.initialize(context));  in prepare()
306     uint32_t height = getSizeOfDimension(input, param.useNchw ? 2 : 1);  in prepare()
307     uint32_t width = getSizeOfDimension(input, param.useNchw ? 3 : 2);  in prepare()
308     uint32_t channels = getSizeOfDimension(input, param.useNchw ? 1 : 3);  in prepare()
313     uint32_t outWidth = computeOutSize(width, param.filter_width, param.stride_width,  in prepare()
314                                        param.padding_left, param.padding_right);  in prepare()
315     uint32_t outHeight = computeOutSize(height, param.filter_height, param.stride_height,  in prepare()
316                                         param.padding_top, param.padding_bottom);  in prepare()
319     if (param.useNchw) {  in prepare()
330                     context->getInputShape(kInputTensor), param,      \
337     PoolingParam param;  in executeAveragePool()  local
338     NN_RET_CHECK(param.initialize(context));  in executeAveragePool()
352     PoolingParam param;  in executeL2Pool()  local
353     NN_RET_CHECK(param.initialize(context));  in executeL2Pool()
365     PoolingParam param;  in executeMaxPool()  local
366     NN_RET_CHECK(param.initialize(context));  in executeMaxPool()