71             Shape inputShape = context->getInputShape(kInputTensor);  in initialize()  local
72             int32_t input_height = getSizeOfDimension(inputShape, useNchw ? 2 : 1);  in initialize()
73             int32_t input_width = getSizeOfDimension(inputShape, useNchw ? 3 : 2);  in initialize()
121 bool averagePoolNhwc(const float* inputData, const Shape& inputShape, const PoolingParam& param,  in averagePoolNhwc()  argument
126     tflite::optimized_ops::AveragePool(op_params, convertShapeToTflshape(inputShape), inputData,  in averagePoolNhwc()
131 bool averagePoolNhwc(const _Float16* inputData, const Shape& inputShape, const PoolingParam& param,  in averagePoolNhwc()  argument
134     std::vector<float> inputDataFloat32(getNumberOfElements(inputShape));  in averagePoolNhwc()
138     averagePoolNhwc(inputDataFloat32.data(), inputShape, param, outputDataFloat32.data(),  in averagePoolNhwc()
144 bool averagePoolNhwc(const uint8_t* inputData, const Shape& inputShape, const PoolingParam& param,  in averagePoolNhwc()  argument
149     tflite::optimized_ops::AveragePool(op_params, convertShapeToTflshape(inputShape), inputData,  in averagePoolNhwc()
154 bool l2PoolNhwc(const float* inputData, const Shape& inputShape, const PoolingParam& param,  in l2PoolNhwc()  argument
159     tflite::optimized_ops::L2Pool(op_params, convertShapeToTflshape(inputShape), inputData,  in l2PoolNhwc()
164 bool l2PoolNhwc(const _Float16* inputData, const Shape& inputShape, const PoolingParam& param,  in l2PoolNhwc()  argument
167     std::vector<float> inputDataFloat32(getNumberOfElements(inputShape));  in l2PoolNhwc()
171     l2PoolNhwc(inputDataFloat32.data(), inputShape, param, outputDataFloat32.data(), outputShape);  in l2PoolNhwc()
176 bool maxPoolNhwc(const float* inputData, const Shape& inputShape, const PoolingParam& param,  in maxPoolNhwc()  argument
181     tflite::optimized_ops::MaxPool(op_params, convertShapeToTflshape(inputShape), inputData,  in maxPoolNhwc()
186 bool maxPoolNhwc(const uint8_t* inputData, const Shape& inputShape, const PoolingParam& param,  in maxPoolNhwc()  argument
191     tflite::optimized_ops::MaxPool(op_params, convertShapeToTflshape(inputShape), inputData,  in maxPoolNhwc()
196 bool maxPoolNhwc(const _Float16* inputData, const Shape& inputShape, const PoolingParam& param,  in maxPoolNhwc()  argument
199     std::vector<float> inputData_float32(getNumberOfElements(inputShape));  in maxPoolNhwc()
203     maxPoolNhwc(inputData_float32.data(), inputShape, param, outputData_float32.data(),  in maxPoolNhwc()
210 bool averagePool(const T* inputData, const Shape& inputShape, const PoolingParam& param,  in averagePool()  argument
214     NN_RET_CHECK(input.initialize(inputData, inputShape));  in averagePool()
223 bool l2Pool(const T* inputData, const Shape& inputShape, const PoolingParam& param, T* outputData,  in l2Pool()  argument
227     NN_RET_CHECK(input.initialize(inputData, inputShape));  in l2Pool()
236 bool maxPool(const T* inputData, const Shape& inputShape, const PoolingParam& param, T* outputData,  in maxPool()  argument
240     NN_RET_CHECK(input.initialize(inputData, inputShape));  in maxPool()