diff --git a/paddle/fluid/inference/tensorrt/op_teller.cc b/paddle/fluid/inference/tensorrt/op_teller.cc
index 72f20790f3524..4b2d1937db269 100644
--- a/paddle/fluid/inference/tensorrt/op_teller.cc
+++ b/paddle/fluid/inference/tensorrt/op_teller.cc
@@ -532,6 +532,15 @@ bool OpTeller::Tell(const framework::ir::Node* node, bool use_no_calib_int8,
               return false;
             }
           }
+        } else {
+          for (size_t i = 0; i < axes.size(); i++) {
+            if (starts[i] < 0 || ends[i] < 0) {
+              VLOG(3) << "Invalid slice attribute 'starts' or 'ends'. "
+                         "Negative starts or ends not supported in TensorRT "
+                         "when running in dynamic shape mode.";
+              return false;
+            }
+          }
         }
       }
     }
diff --git a/paddle/fluid/inference/tensorrt/plugin/slice_op_plugin.cu b/paddle/fluid/inference/tensorrt/plugin/slice_op_plugin.cu
index 6d367712eabc5..cbd6e3a2e4ffe 100644
--- a/paddle/fluid/inference/tensorrt/plugin/slice_op_plugin.cu
+++ b/paddle/fluid/inference/tensorrt/plugin/slice_op_plugin.cu
@@ -253,7 +253,16 @@ nvinfer1::DimsExprs SlicePluginDynamic::getOutputDimensions(
   for (size_t i = 0; i < axes_.size(); i++) {
     int start = starts_[i];
     int end = ends_[i];
+#if IS_TRT_VERSION_GE(7200)
+    ret.d[axes_[i]] = expr_builder.operation(
+        nvinfer1::DimensionOperation::kSUB,
+        *expr_builder.operation(nvinfer1::DimensionOperation::kMIN,
+                                *expr_builder.constant(ends_[i]),
+                                *in_dims.d[axes_[i]]),
+        *expr_builder.constant(start));
+#else
     ret.d[axes_[i]] = expr_builder.constant(end - start);
+#endif
   }
   return ret;
 }
diff --git a/python/paddle/fluid/tests/unittests/ir/inference/CMakeLists.txt b/python/paddle/fluid/tests/unittests/ir/inference/CMakeLists.txt
index 8b4a0ee98fa54..92a0aedf7a1c7 100644
--- a/python/paddle/fluid/tests/unittests/ir/inference/CMakeLists.txt
+++ b/python/paddle/fluid/tests/unittests/ir/inference/CMakeLists.txt
@@ -19,7 +19,14 @@ if(WITH_GPU AND TENSORRT_FOUND)
   endforeach()
 
   foreach(target ${TEST_TRT_IR_PASSES})
-    py_test_modules(${target} MODULES ${target})
+    if(${target} STREQUAL "test_trt_slice_dynamic_plugin")
+      if("${TENSORRT_MAJOR_VERSION}.${TENSORRT_MINOR_VERSION}" VERSION_GREATER "7.1")
+        py_test_modules(${target} MODULES ${target})
+        set_tests_properties(${target} PROPERTIES TIMEOUT 60)
+      endif()
+    else()
+      py_test_modules(${target} MODULES ${target})
+    endif()
   endforeach()
 
   foreach(target ${TEST_TRT_CONVERTER})
diff --git a/python/paddle/fluid/tests/unittests/ir/inference/test_trt_slice_dynamic_plugin.py b/python/paddle/fluid/tests/unittests/ir/inference/test_trt_slice_dynamic_plugin.py
new file mode 100644
index 0000000000000..7b4b84724e8b3
--- /dev/null
+++ b/python/paddle/fluid/tests/unittests/ir/inference/test_trt_slice_dynamic_plugin.py
@@ -0,0 +1,101 @@
+# Copyright (c) 2020 PaddlePaddle Authors. All Rights Reserved.
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
+from __future__ import print_function
+
+import unittest
+import numpy as np
+from inference_pass_test import InferencePassTest
+import paddle.fluid as fluid
+import paddle.fluid.core as core
+from paddle.fluid.core import AnalysisConfig
+
+
+#normal starts && ends
+class SlicePluginTRTDynamicTest(InferencePassTest):
+    def setUpSliceParams(self):
+        self.params_axes = [1, 3]
+        self.params_starts = [0, 1]
+        self.params_ends = [2, 3]
+
+    def setUpTensorRTParams(self):
+        self.trt_parameters = SlicePluginTRTDynamicTest.TensorRTParam(
+            1 << 30, 32, 1, AnalysisConfig.Precision.Float32, False, False)
+        self.enable_trt = True
+        self.dynamic_shape_params = SlicePluginTRTDynamicTest.DynamicShapeParam(
+            {
+                'data': [1, 1, 1, 1]
+            }, {'data': [8, 8, 8, 8]}, {'data': [8, 8, 8, 8]}, False)
+
+    def setUp(self):
+        self.setUpSliceParams()
+        self.setUpTensorRTParams()
+        with fluid.program_guard(self.main_program, self.startup_program):
+            data = fluid.data(name="data", shape=[3, 3, 3, 3], dtype="float32")
+            axes = self.params_axes
+            starts = self.params_starts
+            ends = self.params_ends
+            slice_out = fluid.layers.slice(
+                data, axes=axes, starts=starts, ends=ends)
+
+        self.feeds = {
+            "data": np.random.random((3, 3, 3, 3)).astype("float32"),
+        }
+        self.fetch_list = [slice_out]
+
+    def test_check_output(self):
+        use_gpu = [False]
+        if core.is_compiled_with_cuda():
+            use_gpu.append(True)
+        for i in range(len(use_gpu)):
+            atol = 1e-5
+            if self.trt_parameters.precision == AnalysisConfig.Precision.Half:
+                atol = 1e-3
+            self.check_output_with_option(use_gpu[i], atol)
+
+
+class SlicePluginTRTDynamicBoundTest(SlicePluginTRTDynamicTest):
+    def setUpSliceParams(self):
+        self.params_axes = [1, 3]
+        self.params_starts = [0, 1]
+        self.params_ends = [2, 1000]
+
+    def setUpTensorRTParams(self):
+        self.trt_parameters = SlicePluginTRTDynamicBoundTest.TensorRTParam(
+            1 << 30, 32, 1, AnalysisConfig.Precision.Half, False, False)
+        self.enable_trt = True
+        self.dynamic_shape_params = SlicePluginTRTDynamicBoundTest.DynamicShapeParam(
+            {
+                'data': [1, 1, 1, 1]
+            }, {'data': [8, 8, 8, 8]}, {'data': [8, 8, 8, 8]}, False)
+
+
+class SlicePluginTRTDynamicNegativeBoundTest(SlicePluginTRTDynamicTest):
+    def setUpSliceParams(self):
+        self.params_axes = [1, 3]
+        self.params_starts = [-5, 1]
+        self.params_ends = [2, 1000]
+
+    def setUpTensorRTParams(self):
+        self.trt_parameters = SlicePluginTRTDynamicNegativeBoundTest.TensorRTParam(
+            1 << 30, 32, 1, AnalysisConfig.Precision.Half, False, False)
+        self.enable_trt = True
+        self.dynamic_shape_params = SlicePluginTRTDynamicNegativeBoundTest.DynamicShapeParam(
+            {
+                'data': [1, 1, 1, 1]
+            }, {'data': [8, 8, 8, 8]}, {'data': [8, 8, 8, 8]}, False)
+
+
+if __name__ == "__main__":
+    unittest.main()