diff --git a/paddle/fluid/inference/tensorrt/convert/activation_op.cc b/paddle/fluid/inference/tensorrt/convert/activation_op.cc
index 9244b9af0bbd6cfc392b1b940d81c04b0dd0cde9..e6a0ecf4aececcba012923f631b2dcfd8f69743d 100644
--- a/paddle/fluid/inference/tensorrt/convert/activation_op.cc
+++ b/paddle/fluid/inference/tensorrt/convert/activation_op.cc
@@ -52,11 +52,6 @@ class ActivationOpConverter : public OpConverter {
         engine_->GetITensor(op_desc.Input("X")[0]);
 
     auto op_pair = ops.find(op_type_);
-    if (op_pair == ops.end()) {
-      PADDLE_THROW(platform::errors::Fatal(
-          "Wrong activation op type, the trt do not support the %s act type.",
-          op_type_));
-    }
 
     nvinfer1::IActivationLayer* layer = TRT_ENGINE_ADD_LAYER(
         engine_, Activation, *const_cast<nvinfer1::ITensor*>(input_tensor),
diff --git a/paddle/fluid/inference/tensorrt/convert/affine_channel_op.cc b/paddle/fluid/inference/tensorrt/convert/affine_channel_op.cc
index 813342c08483b7e9124929d3f00d8155d337e67e..eba67c3c098ca60b7608ecf6db50b46e233955a5 100644
--- a/paddle/fluid/inference/tensorrt/convert/affine_channel_op.cc
+++ b/paddle/fluid/inference/tensorrt/convert/affine_channel_op.cc
@@ -55,16 +55,6 @@ class AffineChannelOpConverter : public OpConverter {
     auto* bias_t = bias_v->GetMutable<framework::LoDTensor>();
     float* bias_ptr = engine_->GetWeightCPUData(bias_name, bias_t, false);
 
-    auto data_layout = framework::StringToDataLayout(
-        BOOST_GET_CONST(std::string, op_desc.GetAttr("data_layout")));
-
-    PADDLE_ENFORCE_EQ(
-        data_layout, framework::DataLayout::kNCHW,
-        platform::errors::InvalidArgument(
-            "TensorRT affine channel converter can only convert NCHW format. "
-            "Other format should be run in fluid mode. Report a bug on github "
-            "issue if you see this line."));
-
     // tensorrt scalend layer only support spatial dims >= 2,
     // so nhwc is not availabe (spatial dims == 0)
     const int channel_axis = engine_->with_dynamic_shape();
diff --git a/paddle/fluid/inference/tensorrt/convert/elementwise_op.cc b/paddle/fluid/inference/tensorrt/convert/elementwise_op.cc
index 47f5cc97d39cdf785bdbcbc468714f3fe0357209..df2400854414c36f46393e70ec1095c347c05c6c 100644
--- a/paddle/fluid/inference/tensorrt/convert/elementwise_op.cc
+++ b/paddle/fluid/inference/tensorrt/convert/elementwise_op.cc
@@ -25,10 +25,6 @@ static bool CheckDims(const nvinfer1::Dims& dims_x,
     return false;
   }
   for (int i = 0; i < dims_x.nbDims; i++) {
-    // conservative judgment
-    if (dims_x.d[i] == -1 || dims_y.d[i] == -1) {
-      return false;
-    }
     if (dims_x.d[i] != dims_y.d[i]) {
       return false;
     }
diff --git a/paddle/fluid/inference/tensorrt/op_teller.cc b/paddle/fluid/inference/tensorrt/op_teller.cc
index 54fc9492b7193e90245cce23538e34a4857cfe1f..9df3ec0445ad1c6c778f81a5e1489096c850c589 100644
--- a/paddle/fluid/inference/tensorrt/op_teller.cc
+++ b/paddle/fluid/inference/tensorrt/op_teller.cc
@@ -143,6 +143,19 @@ bool OpTeller::Tell(const framework::ir::Node* node, bool use_no_calib_int8,
           BOOST_GET_CONST(std::vector<int>, desc.GetAttr("paddings"));
 
       if (paddings.size() > 2) return false;
+// strides > 1 is only supported by trt7.0 above
+#if !IS_TRT_VERSION_GE(7000)
+      if (desc.HasAttr("strides")) {
+        const std::vector<int> strides =
+            BOOST_GET_CONST(std::vector<int>, desc.GetAttr("strides"));
+        // there is no issue if strides.size() less than 2
+        if (strides.size() > 1) {
+          for (size_t i = 0; i < strides.size(); i++) {
+            if (strides[i] > 1) return false;
+          }
+        }
+      }
+#endif
     }
 
     if (op_type == "pool2d") {
@@ -225,6 +238,20 @@ bool OpTeller::Tell(const framework::ir::Node* node, bool use_no_calib_int8,
                 << desc.Output("Output").size() << " output.";
         return false;
       }
+
+// strides > 1 is only supported by trt7.0 above
+#if !IS_TRT_VERSION_GE(7000)
+      if (desc.HasAttr("strides")) {
+        const std::vector<int> strides =
+            BOOST_GET_CONST(std::vector<int>, desc.GetAttr("strides"));
+        // there is no issue if strides.size() less than 2
+        if (strides.size() > 1) {
+          for (size_t i = 0; i < strides.size(); i++) {
+            if (strides[i] > 1) return false;
+          }
+        }
+      }
+#endif
     }
 
     if (op_type == "matmul") {