enable trt test check and fix trt ut error（3/3） (#36581)

paddle/fluid/framework/ir/graph_viz_pass.cc

@@ -62,10 +62,14 @@ void GraphVizPass::ApplyImpl(ir::Graph* graph) const {
         }
       }
     }
+    const std::string& optim_cache_dir = Get<std::string>("optim_cache_dir");
     std::string program_bytes = program_desc.Proto()->SerializeAsString();
     // rename from "17_ir_fc_fuse_pass.dot" to "fc_fuse_pass.pdmodel"
     program_path =
         graph_viz_path.substr(found1 + 4, found2 - found1 - 4) + ".pdmodel";
+    if (!optim_cache_dir.empty()) {
+      program_path = optim_cache_dir + "/" + program_path;
+    }
     std::ofstream file(program_path.c_str(), std::ios::binary);
     file.write(program_bytes.c_str(), program_bytes.size());
     file.close();

paddle/fluid/inference/analysis/ir_pass_manager.cc

@@ -56,10 +56,18 @@ void IRPassManager::CreatePasses(Argument *argument,
     auto pass = framework::ir::PassRegistry::Instance().Get(pass_name);
 
     if (pass_name == "graph_viz_pass") {
-      std::string dot_file_path = std::to_string(pass_num) + "_ir_" +
-                                  (pre_pass.empty() ? "origin" : pre_pass) +
+      std::string optim_cache_dir = argument->optim_cache_dir();
+      std::string dot_file_path;
+      if (optim_cache_dir.empty()) {
+        dot_file_path = std::to_string(pass_num) + "_ir_" +
+                        (pre_pass.empty() ? "origin" : pre_pass) + ".dot";
+      } else {
+        dot_file_path = optim_cache_dir + "/" + std::to_string(pass_num) +
+                        "_ir_" + (pre_pass.empty() ? "origin" : pre_pass) +
                         ".dot";
+      }
       pass->Set("graph_viz_path", new std::string(std::move(dot_file_path)));
+      pass->Set("optim_cache_dir", new std::string(std::move(optim_cache_dir)));
       pass_num++;
     } else if (pass_name == "mkldnn_placement_pass") {
       pass->Set("mkldnn_enabled_op_types",

paddle/fluid/inference/api/analysis_config.cc

@@ -12,7 +12,9 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
+#include <sstream>
 #include <string>
+#include <tuple>
 #include "paddle/fluid/inference/api/paddle_analysis_config.h"
 #include "paddle/fluid/inference/api/paddle_pass_builder.h"
 #include "paddle/fluid/inference/utils/table_printer.h"
@@ -20,6 +22,10 @@
 #include "paddle/fluid/platform/enforce.h"
 #include "paddle/fluid/platform/gpu_info.h"
 
+#ifdef PADDLE_WITH_TENSORRT
+#include "paddle/fluid/inference/tensorrt/helper.h"
+#endif
+
 #if defined(PADDLE_WITH_CUDA) || defined(PADDLE_WITH_HIP)
 DECLARE_uint64(initial_gpu_memory_in_mb);
 #endif
@@ -758,6 +764,18 @@ std::string AnalysisConfig::Summary() {
       {"mkldnn_cache_capacity", std::to_string(mkldnn_cache_capacity_)});
   os.InsetDivider();
 
+  // gpu info
+  os.InsertRow({"use_gpu", use_gpu_ ? "true" : "false"});
+  if (use_gpu_) {
+    os.InsertRow({"gpu_device_id", std::to_string(gpu_device_id_)});
+    os.InsertRow({"memory_pool_init_size",
+                  std::to_string(memory_pool_init_size_mb_) + "MB"});
+    os.InsertRow(
+        {"thread_local_stream", thread_local_stream_ ? "true" : "false"});
+
+    os.InsertRow({"use_tensorrt", use_tensorrt_ ? "true" : "false"});
+    if (use_tensorrt_) {
+#ifdef PADDLE_WITH_TENSORRT
       auto Precision2String =
           [](paddle::AnalysisConfig::Precision prec) -> std::string {
         if (prec == Precision::kFloat32)
@@ -769,17 +787,21 @@ std::string AnalysisConfig::Summary() {
         else
           return "None";
       };
-  // gpu info
-  os.InsertRow({"use_gpu", use_gpu_ ? "true" : "false"});
-  if (use_gpu_) {
-    os.InsertRow({"gpu_device_id", std::to_string(gpu_device_id_)});
-    os.InsertRow({"memory_pool_init_size",
-                  std::to_string(memory_pool_init_size_mb_) + "MB"});
+      auto version2string =
+          [](const std::tuple<int, int, int> &ver) -> std::string {
+        std::ostringstream os;
+        int major = std::get<0>(ver);
+        int minor = std::get<1>(ver);
+        int patch = std::get<2>(ver);
+        os << major << "." << minor << "." << patch;
+        return os.str();
+      };
       os.InsertRow(
-        {"thread_local_stream", thread_local_stream_ ? "true" : "false"});
-
-    os.InsertRow({"use_tensorrt", use_tensorrt_ ? "true" : "false"});
-    if (use_tensorrt_) {
+          {"trt_compile_version",
+           version2string(inference::tensorrt::GetTrtCompileVersion())});
+      os.InsertRow(
+          {"trt_runtime_version",
+           version2string(inference::tensorrt::GetTrtRuntimeVersion())});
       os.InsertRow({"tensorrt_precision_mode",
                     Precision2String(tensorrt_precision_mode_)});
       os.InsertRow({"tensorrt_workspace_size",
@@ -805,6 +827,7 @@ std::string AnalysisConfig::Summary() {
       if (trt_use_dla_) {
         os.InsertRow({"tensorrt_dla_core", std::to_string(trt_dla_core_)});
       }
+#endif
     }
   }
   os.InsetDivider();

paddle/scripts/paddle_build.sh

@@ -2388,6 +2388,25 @@ function find_temporary_files() {
     fi
 }
 
+function trt_convert_test() {
+    set +e
+    cd ${PADDLE_ROOT}
+    result_num=0
+    export PYTHONPATH=$PYTHONPATH:${PADDLE_ROOT}/build/python
+    for file_name in `find python/ -name 'test_trt_convert*'`;do
+        echo "----- test trt ut: $file_name -----"
+        python $file_name
+        res=$?
+        if [ "$res" != "0" ];then
+            echo "$file_name convert test failed " >&2
+            result_num=11
+        fi
+    done
+    if [ "$result_num" != "0" ];then
+        exit 11
+    fi
+}
+
 function build_pr_and_develop() {
     cmake_gen_and_build ${PYTHON_ABI:-""} ${parallel_number}
     mkdir ${PADDLE_ROOT}/build/pr_whl && cp ${PADDLE_ROOT}/build/python/dist/*.whl ${PADDLE_ROOT}/build/pr_whl
@@ -2656,6 +2675,10 @@ function main() {
       test_model_benchmark)
         test_model_benchmark
         ;;
+      trt_convert_test)
+        # only test trt convert.
+        trt_convert_test
+        ;;
       *)
         print_usage
         exit 1

python/paddle/fluid/tests/unittests/ir/inference/test_trt_convert_conv2d.py

@@ -15,6 +15,7 @@
 from trt_layer_auto_scan_test import TrtLayerAutoScanTest, SkipReasons
 from program_config import TensorConfig, ProgramConfig
 import numpy as np
+import unittest
 import paddle.inference as paddle_infer
 from functools import partial
 from typing import Optional, List, Callable, Dict, Any, Set

python/paddle/fluid/tests/unittests/ir/inference/test_trt_convert_conv2d_fusion.py

@@ -18,6 +18,7 @@ import numpy as np
 import paddle.inference as paddle_infer
 from functools import partial
 from typing import Optional, List, Callable, Dict, Any, Set
+import unittest
 
 
 class TrtConvertConv2dFusionTest(TrtLayerAutoScanTest):

python/paddle/fluid/tests/unittests/ir/inference/test_trt_convert_conv2d_transpose.py

@@ -15,6 +15,7 @@
 from trt_layer_auto_scan_test import TrtLayerAutoScanTest, SkipReasons
 from program_config import TensorConfig, ProgramConfig
 import numpy as np
+import unittest
 import paddle.inference as paddle_infer
 from functools import partial
 from typing import Optional, List, Callable, Dict, Any, Set

python/paddle/fluid/tests/unittests/ir/inference/test_trt_convert_depthwise_conv2d.py

@@ -18,6 +18,7 @@ import numpy as np
 import paddle.inference as paddle_infer
 from functools import partial
 from typing import Optional, List, Callable, Dict, Any, Set
+import unittest
 
 
 class TrtConvertDepthwiseConv2dTest(TrtLayerAutoScanTest):

python/paddle/fluid/tests/unittests/ir/inference/test_trt_convert_depthwise_conv2d_transpose.py

@@ -18,6 +18,7 @@ import numpy as np
 import paddle.inference as paddle_infer
 from functools import partial
 from typing import Optional, List, Callable, Dict, Any, Set
+import unittest
 
 
 class TrtConvertDepthwiseConv2dTransposeTest(TrtLayerAutoScanTest):

python/paddle/fluid/tests/unittests/ir/inference/test_trt_convert_nearest_interp_v2.py

@@ -18,6 +18,7 @@ import numpy as np
 import paddle.inference as paddle_infer
 from functools import partial
 from typing import Optional, List, Callable, Dict, Any, Set
+import unittest
 
 
 class TrtConvertNearestInterpV2Test(TrtLayerAutoScanTest):

python/paddle/fluid/tests/unittests/ir/inference/test_trt_convert_reduce_mean.py

@@ -120,7 +120,7 @@ class TrtConvertReduceMeanTest(TrtLayerAutoScanTest):
             attrs, False), 1e-5
         self.trt_param.precision = paddle_infer.PrecisionType.Half
         yield self.create_inference_config(), generate_trt_nodes_num(
-            attrs, False), (1e-5, 1e-5)
+            attrs, False), (1e-4, 1e-4)
 
         # for dynamic_shape
         generate_dynamic_shape(attrs)
@@ -129,7 +129,7 @@ class TrtConvertReduceMeanTest(TrtLayerAutoScanTest):
                                                                      True), 1e-5
         self.trt_param.precision = paddle_infer.PrecisionType.Half
         yield self.create_inference_config(), generate_trt_nodes_num(
-            attrs, True), (1e-5, 1e-5)
+            attrs, True), (1e-4, 1e-4)
 
         pass
 

python/paddle/fluid/tests/unittests/ir/inference/test_trt_convert_reduce_sum.py

@@ -120,7 +120,7 @@ class TrtConvertReduceSumTest(TrtLayerAutoScanTest):
             attrs, False), (1e-5, 1e-5)
         self.trt_param.precision = paddle_infer.PrecisionType.Half
         yield self.create_inference_config(), generate_trt_nodes_num(
-            attrs, False), (1e-5, 1e-5)
+            attrs, False), (1e-4, 1e-4)
 
         # for dynamic_shape
         generate_dynamic_shape(attrs)
@@ -129,7 +129,7 @@ class TrtConvertReduceSumTest(TrtLayerAutoScanTest):
             attrs, True), (1e-5, 1e-5)
         self.trt_param.precision = paddle_infer.PrecisionType.Half
         yield self.create_inference_config(), generate_trt_nodes_num(
-            attrs, True), (1e-5, 1e-5)
+            attrs, True), (1e-4, 1e-4)
 
         pass
 

python/paddle/fluid/tests/unittests/ir/inference/trt_layer_auto_scan_test.py

@@ -122,7 +122,8 @@ class TrtLayerAutoScanTest(AutoScanTest):
                 "Output has diff between GPU and TensorRT. ")
 
     def assert_op_size(self, trt_engine_num, paddle_op_num):
-        last_passed_program = 'transpose_flatten_concat_fuse_pass.pdmodel'
+        last_passed_program = os.path.join(
+            self.trt_cache_dir, 'transpose_flatten_concat_fuse_pass.pdmodel')
         model_bytes = paddle.static.load_from_file(last_passed_program)
         pg = paddle.static.deserialize_program(model_bytes)
         main_block = pg.desc.block(0)
@@ -179,7 +180,8 @@ class TrtLayerAutoScanTest(AutoScanTest):
 
     def run_test(self, quant=False):
         status = True
-        np.random.seed(int(1000 * time.time()) % 2**32)
+        # Choose different tests by week
+        np.random.seed(int(time.strftime("%W")))
         run_flags = []
         for prog_config in self.sample_program_configs():
             # In CI, only run 30% cases
@@ -283,4 +285,4 @@ class TrtLayerAutoScanTest(AutoScanTest):
                 self.success_log('RUN ' + str(prog_config) + ' vs ' +
                                  self.inference_config_str(pred_config))
 
-        # self.assertTrue(status)
+        self.assertTrue(status)