81             Shape inputShape = context->getInputShape(kInputTensor);  in initialize()  local
82             int32_t input_height = getSizeOfDimension(inputShape, useNchw ? 2 : 1);  in initialize()
83             int32_t input_width = getSizeOfDimension(inputShape, useNchw ? 3 : 2);  in initialize()
141 bool averagePoolNhwc(const float* inputData, const Shape& inputShape, const PoolingParam& param,  in averagePoolNhwc()  argument
146     tflite::optimized_ops::AveragePool(op_params, convertShapeToTflshape(inputShape), inputData,  in averagePoolNhwc()
151 bool averagePoolNhwc(const _Float16* inputData, const Shape& inputShape, const PoolingParam& param,  in averagePoolNhwc()  argument
154     std::vector<float> inputDataFloat32(getNumberOfElements(inputShape));  in averagePoolNhwc()
158     averagePoolNhwc(inputDataFloat32.data(), inputShape, param, outputDataFloat32.data(),  in averagePoolNhwc()
164 bool averagePoolNhwc(const uint8_t* inputData, const Shape& inputShape, const PoolingParam& param,  in averagePoolNhwc()  argument
169     tflite::optimized_ops::AveragePool(op_params, convertShapeToTflshape(inputShape), inputData,  in averagePoolNhwc()
174 bool averagePoolNhwc(const int8_t* inputData, const Shape& inputShape, const PoolingParam& param,  in averagePoolNhwc()  argument
181     tflite::reference_integer_ops::AveragePool(op_params, convertShapeToTflshape(inputShape),  in averagePoolNhwc()
187 bool l2PoolNhwc(const float* inputData, const Shape& inputShape, const PoolingParam& param,  in l2PoolNhwc()  argument
192     tflite::optimized_ops::L2Pool(op_params, convertShapeToTflshape(inputShape), inputData,  in l2PoolNhwc()
197 bool l2PoolNhwc(const _Float16* inputData, const Shape& inputShape, const PoolingParam& param,  in l2PoolNhwc()  argument
200     std::vector<float> inputDataFloat32(getNumberOfElements(inputShape));  in l2PoolNhwc()
204     l2PoolNhwc(inputDataFloat32.data(), inputShape, param, outputDataFloat32.data(), outputShape);  in l2PoolNhwc()
209 bool maxPoolNhwc(const float* inputData, const Shape& inputShape, const PoolingParam& param,  in maxPoolNhwc()  argument
214     tflite::optimized_ops::MaxPool(op_params, convertShapeToTflshape(inputShape), inputData,  in maxPoolNhwc()
219 bool maxPoolNhwc(const uint8_t* inputData, const Shape& inputShape, const PoolingParam& param,  in maxPoolNhwc()  argument
224     tflite::optimized_ops::MaxPool(op_params, convertShapeToTflshape(inputShape), inputData,  in maxPoolNhwc()
229 bool maxPoolNhwc(const int8_t* inputData, const Shape& inputShape, const PoolingParam& param,  in maxPoolNhwc()  argument
236     tflite::reference_integer_ops::MaxPool(op_params, convertShapeToTflshape(inputShape), inputData,  in maxPoolNhwc()
241 bool maxPoolNhwc(const _Float16* inputData, const Shape& inputShape, const PoolingParam& param,  in maxPoolNhwc()  argument
244     std::vector<float> inputData_float32(getNumberOfElements(inputShape));  in maxPoolNhwc()
248     maxPoolNhwc(inputData_float32.data(), inputShape, param, outputData_float32.data(),  in maxPoolNhwc()
255 bool averagePool(const T* inputData, const Shape& inputShape, const PoolingParam& param,  in averagePool()  argument
259     NN_RET_CHECK(input.initialize(inputData, inputShape));  in averagePool()
268 bool l2Pool(const T* inputData, const Shape& inputShape, const PoolingParam& param, T* outputData,  in l2Pool()  argument
272     NN_RET_CHECK(input.initialize(inputData, inputShape));  in l2Pool()
281 bool maxPool(const T* inputData, const Shape& inputShape, const PoolingParam& param, T* outputData,  in maxPool()  argument
285     NN_RET_CHECK(input.initialize(inputData, inputShape));  in maxPool()