Add IPT Ascend

* Merge branch 'IPT' of gitee.com:xiaoan95/mindspore into ipt_ascend
* Add IPT Ascend

model_zoo/research/cv/IPT/eval.py

@@ -23,7 +23,7 @@ from mindspore import context
 import mindspore.dataset as de
 from mindspore.train.serialization import load_checkpoint, load_param_into_net
 
-context.set_context(mode=context.PYNATIVE_MODE, device_target="GPU", device_id=0)
+context.set_context(mode=context.GRAPH_MODE, device_target="ASCEND", device_id=0)
 
 
 def main():
@@ -46,11 +46,12 @@ def main():
     net_m.set_train(False)
     num_imgs = train_de_dataset.get_dataset_size()
     psnrs = np.zeros((num_imgs, 1))
+    inference = ipt.IPT_post(net_m, args)
     for batch_idx, imgs in enumerate(train_loader):
         lr = imgs['LR']
         hr = imgs['HR']
         hr_np = np.float32(hr.asnumpy())
-        pred = net_m.infrc(lr)
+        pred = inference.forward(lr)
         pred_np = np.float32(pred.asnumpy())
         pred_np = quantize(pred_np, 255)
         psnr = calc_psnr(pred_np, hr_np, 4, 255.0, y_only=True)