add config module

configs/mmdet/detection/detection_tensorrt-fp16_dynamic-64x64-800x800.py

+_base_ = [
+    '../_base_/base_dynamic.py', '../../_base_/backends/tensorrt-fp16.py'
+]
+
+backend_config = dict(
+    common_config=dict(max_workspace_size=1 << 30),
+    model_inputs=[
+        dict(
+            input_shapes=dict(
+                input=dict(
+                    min_shape=[1, 3, 64, 64],
+                    opt_shape=[1, 3, 800, 800],
+                    max_shape=[1, 3, 800, 800])))
+    ])

configs/mmdet/detection/detection_tensorrt-fp16_static-320x320.py

+_base_ = ['../_base_/base_static.py', '../../_base_/backends/tensorrt-fp16.py']
+
+onnx_config = dict(input_shape=(320, 320))
+
+backend_config = dict(
+    common_config=dict(max_workspace_size=1 << 30),
+    model_inputs=[
+        dict(
+            input_shapes=dict(
+                input=dict(
+                    min_shape=[1, 3, 320, 320],
+                    opt_shape=[1, 3, 320, 320],
+                    max_shape=[1, 3, 320, 320])))
+    ])

configs/mmdet/detection/detection_tensorrt-fp16_static-800x1344.py

+_base_ = ['../_base_/base_tensorrt-fp16_static-800x1344.py']

configs/mmdet/detection/detection_tensorrt-int8_dynamic-300x300-512x512.py

+_base_ = ['../_base_/base_tensorrt-int8_dynamic-300x300-512x512.py']

configs/mmdet/detection/detection_tensorrt-int8_dynamic-320x320-1344x1344.py

+_base_ = ['../_base_/base_tensorrt-int8_dynamic-320x320-1344x1344.py']

configs/mmdet/detection/detection_tensorrt-int8_dynamic-64x64-608x608.py

+_base_ = [
+    '../_base_/base_dynamic.py', '../../_base_/backends/tensorrt-int8.py'
+]
+
+backend_config = dict(
+    common_config=dict(max_workspace_size=1 << 30),
+    model_inputs=[
+        dict(
+            input_shapes=dict(
+                input=dict(
+                    min_shape=[1, 3, 64, 64],
+                    opt_shape=[1, 3, 608, 608],
+                    max_shape=[1, 3, 608, 608])))
+    ])

configs/mmdet/detection/detection_tensorrt-int8_dynamic-64x64-800x800.py

+_base_ = [
+    '../_base_/base_dynamic.py', '../../_base_/backends/tensorrt-int8.py'
+]
+
+backend_config = dict(
+    common_config=dict(max_workspace_size=1 << 30),
+    model_inputs=[
+        dict(
+            input_shapes=dict(
+                input=dict(
+                    min_shape=[1, 3, 64, 64],
+                    opt_shape=[1, 3, 800, 800],
+                    max_shape=[1, 3, 800, 800])))
+    ])

configs/mmdet/detection/detection_tensorrt-int8_static-320x320.py

+_base_ = ['../_base_/base_static.py', '../../_base_/backends/tensorrt-int8.py']
+
+onnx_config = dict(input_shape=(320, 320))
+
+backend_config = dict(
+    common_config=dict(max_workspace_size=1 << 30),
+    model_inputs=[
+        dict(
+            input_shapes=dict(
+                input=dict(
+                    min_shape=[1, 3, 320, 320],
+                    opt_shape=[1, 3, 320, 320],
+                    max_shape=[1, 3, 320, 320])))
+    ])

configs/mmdet/detection/detection_tensorrt-int8_static-800x1344.py

+_base_ = ['../_base_/base_tensorrt-int8_static-800x1344.py']

configs/mmdet/detection/detection_tensorrt_dynamic-300x300-512x512.py

+_base_ = ['../_base_/base_tensorrt_dynamic-300x300-512x512.py']

configs/mmdet/detection/detection_tensorrt_dynamic-320x320-1344x1344.py

+_base_ = ['../_base_/base_tensorrt_dynamic-320x320-1344x1344.py']

configs/mmdet/detection/detection_tensorrt_dynamic-64x64-608x608.py

+_base_ = ['../_base_/base_dynamic.py', '../../_base_/backends/tensorrt.py']
+
+backend_config = dict(
+    common_config=dict(max_workspace_size=1 << 30),
+    model_inputs=[
+        dict(
+            input_shapes=dict(
+                input=dict(
+                    min_shape=[1, 3, 64, 64],
+                    opt_shape=[1, 3, 608, 608],
+                    max_shape=[1, 3, 608, 608])))
+    ])

configs/mmdet/detection/detection_tensorrt_dynamic-64x64-800x800.py

+_base_ = ['../_base_/base_dynamic.py', '../../_base_/backends/tensorrt.py']
+
+backend_config = dict(
+    common_config=dict(max_workspace_size=1 << 30),
+    model_inputs=[
+        dict(
+            input_shapes=dict(
+                input=dict(
+                    min_shape=[1, 3, 64, 64],
+                    opt_shape=[1, 3, 800, 800],
+                    max_shape=[1, 3, 800, 800])))
+    ])

configs/mmdet/detection/detection_tensorrt_static-300x300.py

+_base_ = ['../_base_/base_tensorrt_static-300x300.py']

configs/mmdet/detection/detection_tensorrt_static-320x320.py

+_base_ = ['../_base_/base_static.py', '../../_base_/backends/tensorrt.py']
+
+onnx_config = dict(input_shape=(320, 320))
+
+backend_config = dict(
+    common_config=dict(max_workspace_size=1 << 30),
+    model_inputs=[
+        dict(
+            input_shapes=dict(
+                input=dict(
+                    min_shape=[1, 3, 320, 320],
+                    opt_shape=[1, 3, 320, 320],
+                    max_shape=[1, 3, 320, 320])))
+    ])

configs/mmdet/detection/detection_tensorrt_static-640x640.py

+_base_ = ['../_base_/base_tensorrt_static-300x300.py']
+
+onnx_config = dict(input_shape=(640, 640))
+
+backend_config = dict(
+    common_config=dict(max_workspace_size=1 << 30),
+    model_inputs=[
+        dict(
+            input_shapes=dict(
+                input=dict(
+                    min_shape=[1, 3, 640, 640],
+                    opt_shape=[1, 3, 640, 640],
+                    max_shape=[1, 3, 640, 640])))
+    ])

configs/mmdet/detection/detection_tensorrt_static-800x1344.py

+_base_ = ['../_base_/base_tensorrt_static-800x1344.py']

configs/mmdet/detection/detection_torchscript.py

+_base_ = [
+    '../_base_/base_torchscript.py', '../../_base_/backends/torchscript.py'
+]

configs/mmdet/detection/detection_tvm-ansor_static-800x1344.py

+_base_ = ['../_base_/base_static.py', '../../_base_/backends/tvm.py']
+
+onnx_config = dict(input_shape=[1344, 800])
+backend_config = dict(model_inputs=[
+    dict(
+        use_vm=True,
+        shape=dict(input=[1, 3, 800, 1344]),
+        dtype=dict(input='float32'),
+        tuner=dict(
+            type='AutoScheduleTuner',
+            log_file='tvm_tune_log.log',
+            num_measure_trials=2000))
+])

configs/mmdet/detection/detection_tvm-autotvm_static-300x300.py

+_base_ = ['../_base_/base_static.py', '../../_base_/backends/tvm.py']
+
+onnx_config = dict(input_shape=[300, 300])
+backend_config = dict(model_inputs=[
+    dict(
+        use_vm=True,
+        shape=dict(input=[1, 3, 300, 300]),
+        dtype=dict(input='float32'),
+        tuner=dict(
+            type='AutoTVMTuner',
+            log_file='tvm_tune_log.log',
+            n_trial=1000,
+            tuner=dict(type='XGBTuner'),
+        ))
+])