Lines Matching refs:addBasicOperation

119     return model->addBasicOperation(OP_Concat_f, NN_PAD_NA, inputs, outs);  in concatenation()
306     return model->addBasicOperation(OP_LRN_f, NN_PAD_NA, {input, window, bias, alpha, beta}, outs);  in local_response_normalization()
318     return model->addBasicOperation(OP_Sigmoid_f, NN_PAD_NA, {input}, outs);  in logistic()
395     return model->addBasicOperation(OP_Relu_f, NN_PAD_NA, {input}, outs);  in relu()
409     return model->addBasicOperation(OP_Clamp_f, NN_PAD_NA, {input, min, max}, outs);  in relu1()
422     return model->addBasicOperation(OP_ReluX_f, NN_PAD_NA, {input, max}, outs);  in relu6()
435     return model->addBasicOperation(OP_Reshape, NN_PAD_NA, {input, newdims}, outs);  in reshape()
452     return model->addBasicOperation(OP_ResizeBilinear_f, NN_PAD_NA, {input, newdim}, outs);  in resize_bilinear()
465     return model->addBasicOperation(OP_Softmax_f, NN_PAD_NA, {input, beta}, outs);  in softmax()
477     return model->addBasicOperation(OP_Tanh_f, NN_PAD_NA, {input}, outs);  in tanh()
578     return model->addBasicOperation(OP_QuantizedConcat_8, NN_PAD_NA, inputs, outs);  in concatenation()
706     return model->addBasicOperation(OP_Dequantize, NN_PAD_NA, {input, input_min, input_max}, outs);  in dequantize()
748     return model->addBasicOperation(OP_QuantizedSigmoid_8, NN_PAD_NA, {input, input_min, input_max},  in logistic()
837     return model->addBasicOperation(OP_QuantizedRelu_8, NN_PAD_NA, {input, input_min, input_max},  in relu()
855     return model->addBasicOperation(OP_QuantizedClamp_8, NN_PAD_NA,  in relu1()
872     return model->addBasicOperation(OP_QuantizedReluX_8, NN_PAD_NA,  in relu6()
889     return model->addBasicOperation(OP_QuantizedReshape, NN_PAD_NA,  in reshape()
906     return model->addBasicOperation(OP_QuantizedSoftmax_8, NN_PAD_NA,  in softmax()