59     hexagon_nn_padding_type pad;  in average_pool_2d()  local
79         pad = getPadding(inputShape.dimensions[2], inputShape.dimensions[1], stride_width,  in average_pool_2d()
82         HEXAGON_SOFT_ASSERT_NE(pad, NN_PAD_NA, "Unknown padding");  in average_pool_2d()
84         pad = model->getPadding(ins[1]);  in average_pool_2d()
96     return model->addFloatOperationWithActivation(OP_AvgPool_f, pad, act, {input, window, stride},  in average_pool_2d()
134     hexagon_nn_padding_type pad;  in conv_2d()  local
151         pad = getPadding(inputShape.dimensions[2], inputShape.dimensions[1], stride_width,  in conv_2d()
154         HEXAGON_SOFT_ASSERT_NE(pad, NN_PAD_NA, "Unknown padding");  in conv_2d()
156         pad = model->getPadding(ins[3]);  in conv_2d()
165     return model->addFusedFloatOperation(OP_Conv2d_f, pad, bias, act, {input, filter, stride},  in conv_2d()
182     hexagon_nn_padding_type pad;  in depthwise_conv_2d()  local
201         pad = getPadding(inputShape.dimensions[2], inputShape.dimensions[1], stride_width,  in depthwise_conv_2d()
204         HEXAGON_SOFT_ASSERT_NE(pad, NN_PAD_NA, "Unknown padding");  in depthwise_conv_2d()
206         pad = model->getPadding(ins[3]);  in depthwise_conv_2d()
217     return model->addFusedFloatOperation(OP_DepthwiseConv2d_f, pad, bias, act,  in depthwise_conv_2d()
247     hexagon_nn_padding_type pad;  in l2_pool_2d()  local
267         pad = getPadding(inputShape.dimensions[2], inputShape.dimensions[1], stride_width,  in l2_pool_2d()
270         HEXAGON_SOFT_ASSERT_NE(pad, NN_PAD_NA, "Unknown padding");  in l2_pool_2d()
272         pad = model->getPadding(ins[1]);  in l2_pool_2d()
284     return model->addFloatOperationWithActivation(OP_L2Pool_f, pad, act, {input, window, stride},  in l2_pool_2d()
331     hexagon_nn_padding_type pad;  in max_pool_2d()  local
351         pad = getPadding(inputShape.dimensions[2], inputShape.dimensions[1], stride_width,  in max_pool_2d()
354         HEXAGON_SOFT_ASSERT_NE(pad, NN_PAD_NA, "Unknown padding");  in max_pool_2d()
356         pad = model->getPadding(ins[1]);  in max_pool_2d()
368     return model->addFloatOperationWithActivation(OP_MaxPool_f, pad, act, {input, window, stride},  in max_pool_2d()
514     hexagon_nn_padding_type pad;  in average_pool_2d()  local
534         pad = getPadding(inputShape.dimensions[2], inputShape.dimensions[1], stride_width,  in average_pool_2d()
537         HEXAGON_SOFT_ASSERT_NE(pad, NN_PAD_NA, "Unknown padding");  in average_pool_2d()
539         pad = model->getPadding(ins[1]);  in average_pool_2d()
553     return model->addQuant8OperationWithActivation(OP_QuantizedAvgPool_8, pad, act,  in average_pool_2d()
593     hexagon_nn_padding_type pad;  in conv_2d()  local
610         pad = getPadding(inputShape.dimensions[2], inputShape.dimensions[1], stride_width,  in conv_2d()
613         HEXAGON_SOFT_ASSERT_NE(pad, NN_PAD_NA, "Unknown padding");  in conv_2d()
615         pad = model->getPadding(ins[3]);  in conv_2d()
632         OP_QuantizedConv2d_8x8to32, pad, {bias, bias_min, bias_max}, act,  in conv_2d()
647     hexagon_nn_padding_type pad;  in depthwise_conv_2d()  local
666         pad = getPadding(inputShape.dimensions[2], inputShape.dimensions[1], stride_width,  in depthwise_conv_2d()
669         HEXAGON_SOFT_ASSERT_NE(pad, NN_PAD_NA, "Unknown padding");  in depthwise_conv_2d()
671         pad = model->getPadding(ins[3]);  in depthwise_conv_2d()
690         OP_QuantizedDepthwiseConv2d_8x8to32, pad, {bias, bias_min, bias_max}, act,  in depthwise_conv_2d()
762     hexagon_nn_padding_type pad;  in max_pool_2d()  local
782         pad = getPadding(inputShape.dimensions[2], inputShape.dimensions[1], stride_width,  in max_pool_2d()
785         HEXAGON_SOFT_ASSERT_NE(pad, NN_PAD_NA, "Unknown padding");  in max_pool_2d()
787         pad = model->getPadding(ins[1]);  in max_pool_2d()
802         OP_QuantizedMaxPool_8, pad, act, {input, input_min, input_max, window, stride}, outs);  in max_pool_2d()