223 bool validate(const IOperationValidationContext* context) {  in validate()  argument
224     NN_RET_CHECK_EQ(context->getNumInputs(), kNumInputs);  in validate()
225     NN_RET_CHECK_EQ(context->getNumOutputs(), kNumOutputs);  in validate()
226     auto inputType = context->getInputType(kInputTensor);  in validate()
230         NN_RET_CHECK(validateHalVersion(context, HalVersion::V1_0));  in validate()
238         NN_RET_CHECK(validateHalVersion(context, HalVersion::V1_2));  in validate()
249         const float inputScale = context->getInputShape(kInputTensor).scale;  in validate()
250         const float weightsScale = context->getInputShape(kWeightsTensor).scale;  in validate()
251         const float outputScale = context->getOutputShape(kOutputTensor).scale;  in validate()
255             NN_RET_CHECK(validateHalVersion(context, HalVersion::V1_2));  in validate()
257             NN_RET_CHECK(validateHalVersion(context, HalVersion::V1_0));  in validate()
267         NN_RET_CHECK(validateHalVersion(context, HalVersion::V1_3));  in validate()
279     NN_RET_CHECK(validateInputTypes(context, inExpectedTypes));  in validate()
280     NN_RET_CHECK(validateOutputTypes(context, {inputType}));  in validate()
282     Shape input = context->getInputShape(kInputTensor);  in validate()
283     Shape weights = context->getInputShape(kWeightsTensor);  in validate()
284     Shape bias = context->getInputShape(kBiasTensor);  in validate()
292 bool prepare(IOperationExecutionContext* context) {  in prepare()  argument
293     Shape input = context->getInputShape(kInputTensor);  in prepare()
294     Shape weights = context->getInputShape(kWeightsTensor);  in prepare()
295     Shape bias = context->getInputShape(kBiasTensor);  in prepare()
296     Shape output = context->getOutputShape(kOutputTensor);  in prepare()
298     return context->setOutputShape(kOutputTensor, output);  in prepare()
301 bool execute(IOperationExecutionContext* context) {  in execute()  argument
303     if (getNumberOfElements(context->getOutputShape(kOutputTensor)) == 0) return true;  in execute()
304     switch (context->getInputType(kInputTensor)) {  in execute()
306             return fullyConnectedFloat32(context->getInputBuffer<float>(kInputTensor),  in execute()
307                                          context->getInputShape(kInputTensor),  in execute()
308                                          context->getInputBuffer<float>(kWeightsTensor),  in execute()
309                                          context->getInputShape(kWeightsTensor),  in execute()
310                                          context->getInputBuffer<float>(kBiasTensor),  in execute()
311                                          context->getInputShape(kBiasTensor),  in execute()
312                                          context->getInputValue<int32_t>(kActivationScalar),  in execute()
313                                          context->getOutputBuffer<float>(kOutputTensor),  in execute()
314                                          context->getOutputShape(kOutputTensor));  in execute()
316             return fullyConnectedFloat16(context->getInputBuffer<_Float16>(kInputTensor),  in execute()
317                                          context->getInputShape(kInputTensor),  in execute()
318                                          context->getInputBuffer<_Float16>(kWeightsTensor),  in execute()
319                                          context->getInputShape(kWeightsTensor),  in execute()
320                                          context->getInputBuffer<_Float16>(kBiasTensor),  in execute()
321                                          context->getInputShape(kBiasTensor),  in execute()
322                                          context->getInputValue<int32_t>(kActivationScalar),  in execute()
323                                          context->getOutputBuffer<_Float16>(kOutputTensor),  in execute()
324                                          context->getOutputShape(kOutputTensor));  in execute()
326             return fullyConnectedQuant8(context->getInputBuffer<uint8_t>(kInputTensor),  in execute()
327                                         context->getInputShape(kInputTensor),  in execute()
328                                         context->getInputBuffer<uint8_t>(kWeightsTensor),  in execute()
329                                         context->getInputShape(kWeightsTensor),  in execute()
330                                         context->getInputBuffer<int32_t>(kBiasTensor),  in execute()
331                                         context->getInputShape(kBiasTensor),  in execute()
332                                         context->getInputValue<int32_t>(kActivationScalar),  in execute()
333                                         context->getOutputBuffer<uint8_t>(kOutputTensor),  in execute()
334                                         context->getOutputShape(kOutputTensor));  in execute()
336             return fullyConnectedQuant8(context->getInputBuffer<int8_t>(kInputTensor),  in execute()
337                                         context->getInputShape(kInputTensor),  in execute()
338                                         context->getInputBuffer<int8_t>(kWeightsTensor),  in execute()
339                                         context->getInputShape(kWeightsTensor),  in execute()
340                                         context->getInputBuffer<int32_t>(kBiasTensor),  in execute()
341                                         context->getInputShape(kBiasTensor),  in execute()
342                                         context->getInputValue<int32_t>(kActivationScalar),  in execute()
343                                         context->getOutputBuffer<int8_t>(kOutputTensor),  in execute()
344                                         context->getOutputShape(kOutputTensor));  in execute()