Add elementwise_add into Paddle-TRT NHWC support (#56795)

* Add elementwise_add support into NHWC IR

paddle/fluid/framework/ir/trt_support_nhwc_pass.cc

@@ -161,7 +161,7 @@ void TrtSupportNHWCPass::ApplyImpl(Graph *graph) const {
       "affine_channel", "softmax", "temporal_shift"};
   // OPs unrelated to layout are consistent according to the layout of input
   // var！
-  std::unordered_set<std::string> any_layout_ops{"relu"};
+  std::unordered_set<std::string> any_layout_ops{"relu", "elementwise_add"};
   //
   //
   // TODO(liuyuanle): Add other op if needed!

test/ir/inference/test_trt_support_nhwc_pass.py

@@ -12,7 +12,9 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 
+import os
 import shutil
+import tempfile
 import unittest
 
 import numpy as np
@@ -53,6 +55,15 @@ class SimpleNet(nn.Layer):
             data_format='NHWC',
         )
         self.relu3 = nn.ReLU()
+        self.conv4 = nn.Conv2D(
+            in_channels=2,
+            out_channels=1,
+            kernel_size=3,
+            stride=2,
+            padding=0,
+            data_format='NHWC',
+        )
+        self.relu4 = nn.ReLU()
         self.flatten = nn.Flatten()
         self.fc = nn.Linear(729, 10)
         self.softmax = nn.Softmax()
@@ -62,8 +73,12 @@ class SimpleNet(nn.Layer):
         x = self.relu1(x)
         x = self.conv2(x)
         x = self.relu2(x)
+        res = x
         x = self.conv3(x)
         x = self.relu3(x)
+        res = self.conv4(res)
+        res = self.relu4(res)
+        x = x + res
         x = self.flatten(x)
         x = self.fc(x)
         x = self.softmax(x)
@@ -73,7 +88,11 @@ class SimpleNet(nn.Layer):
 class TRTNHWCConvertTest(unittest.TestCase):
     def setUp(self):
         self.place = paddle.CUDAPlace(0)
-        self.path = './inference_pass/nhwc_convert/infer_model'
+        self.temp_dir = tempfile.TemporaryDirectory()
+        self.path = os.path.join(
+            self.temp_dir.name, 'inference_pass', 'nhwc_converter', ''
+        )
+        self.model_prefix = self.path + 'infer_model'
 
     def create_model(self):
         image = static.data(
@@ -82,11 +101,13 @@ class TRTNHWCConvertTest(unittest.TestCase):
         predict = SimpleNet()(image)
         exe = paddle.static.Executor(self.place)
         exe.run(paddle.static.default_startup_program())
-        paddle.static.save_inference_model(self.path, [image], [predict], exe)
+        paddle.static.save_inference_model(
+            self.model_prefix, [image], [predict], exe
+        )
 
     def create_predictor(self):
         config = paddle.inference.Config(
-            self.path + '.pdmodel', self.path + '.pdiparams'
+            self.model_prefix + '.pdmodel', self.model_prefix + '.pdiparams'
         )
         config.enable_memory_optim()
         config.enable_use_gpu(100, 0)
@@ -123,7 +144,7 @@ class TRTNHWCConvertTest(unittest.TestCase):
         result = self.infer(predictor, img=[img])
 
     def tearDown(self):
-        shutil.rmtree('./inference_pass/nhwc_convert/')
+        shutil.rmtree(self.path)
 
 
 if __name__ == '__main__':