add config module

configs/mmaction/video-recognition/video-recognition_3d_tensorrt_static-256x256.py

+_base_ = ['./video-recognition_static.py', '../../_base_/backends/tensorrt.py']
+
+onnx_config = dict(input_shape=[256, 256])
+
+backend_config = dict(
+    common_config=dict(max_workspace_size=1 << 30),
+    model_inputs=[
+        dict(
+            input_shapes=dict(
+                input=dict(
+                    min_shape=[1, 30, 3, 32, 256, 256],
+                    opt_shape=[1, 30, 3, 32, 256, 256],
+                    max_shape=[1, 30, 3, 32, 256, 256])))
+    ])

configs/mmaction/video-recognition/video-recognition_onnxruntime-fp16_static.py

+_base_ = [
+    './video-recognition_static.py',
+    '../../_base_/backends/onnxruntime-fp16.py'
+]
+
+onnx_config = dict(input_shape=None)

configs/mmaction/video-recognition/video-recognition_onnxruntime_static.py

+_base_ = [
+    './video-recognition_static.py', '../../_base_/backends/onnxruntime.py'
+]
+
+onnx_config = dict(input_shape=None)

configs/mmaction/video-recognition/video-recognition_static.py

+_base_ = ['../../_base_/onnx_config.py']
+
+codebase_config = dict(type='mmaction', task='VideoRecognition')

configs/mmaction/video-recognition/video-recognition_torchscript.py

+_base_ = [
+    '../../_base_/torchscript_config.py',
+    '../../_base_/backends/torchscript.py'
+]
+
+ir_config = dict(input_shape=None)
+codebase_config = dict(type='mmaction', task='VideoRecognition')

configs/mmagic/super-resolution/super-resolution_dynamic.py

+_base_ = ['./super-resolution_static.py']
+onnx_config = dict(
+    dynamic_axes={
+        'input': {
+            0: 'batch',
+            2: 'height',
+            3: 'width'
+        },
+        'output': {
+            0: 'batch',
+            2: 'height',
+            3: 'width'
+        }
+    },
+    input_shape=None)

configs/mmagic/super-resolution/super-resolution_ncnn_dynamic.py

+_base_ = ['./super-resolution_dynamic.py', '../../_base_/backends/ncnn.py']

configs/mmagic/super-resolution/super-resolution_onnxruntime-fp16_dynamic.py

+_base_ = [
+    './super-resolution_dynamic.py',
+    '../../_base_/backends/onnxruntime-fp16.py'
+]

configs/mmagic/super-resolution/super-resolution_onnxruntime_dynamic.py

+_base_ = [
+    './super-resolution_dynamic.py', '../../_base_/backends/onnxruntime.py'
+]

configs/mmagic/super-resolution/super-resolution_onnxruntime_static.py

+_base_ = [
+    './super-resolution_static.py', '../../_base_/backends/onnxruntime.py'
+]
+
+onnx_config = dict(input_shape=None)

configs/mmagic/super-resolution/super-resolution_openvino_dynamic-256x256.py

+_base_ = ['./super-resolution_dynamic.py', '../../_base_/backends/openvino.py']
+
+backend_config = dict(
+    model_inputs=[dict(opt_shapes=dict(input=[1, 3, 256, 256]))])

configs/mmagic/super-resolution/super-resolution_pplnn_dynamic-32x32.py

+_base_ = ['./super-resolution_dynamic.py', '../../_base_/backends/pplnn.py']
+
+onnx_config = dict(input_shape=None)
+
+backend_config = dict(model_inputs=dict(opt_shape=[1, 3, 32, 32]))

configs/mmagic/super-resolution/super-resolution_sdk_dynamic.py

+_base_ = ['./super-resolution_dynamic.py', '../../_base_/backends/sdk.py']
+
+codebase_config = dict(model_type='sdk')

configs/mmagic/super-resolution/super-resolution_snpe_static-256x256.py

+_base_ = ['./super-resolution_static.py', '../../_base_/backends/snpe.py']
+onnx_config = dict(input_shape=[256, 256])

configs/mmagic/super-resolution/super-resolution_static.py

+_base_ = ['../../_base_/onnx_config.py']
+codebase_config = dict(type='mmagic', task='SuperResolution')

configs/mmagic/super-resolution/super-resolution_tensorrt-fp16_dynamic-32x32-512x512.py

+_base_ = [
+    './super-resolution_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, 32, 32],
+                    opt_shape=[1, 3, 256, 256],
+                    max_shape=[1, 3, 512, 512])))
+    ])

configs/mmagic/super-resolution/super-resolution_tensorrt-fp16_static-256x256.py

+_base_ = [
+    './super-resolution_static.py', '../../_base_/backends/tensorrt-fp16.py'
+]
+onnx_config = dict(input_shape=[256, 256])
+backend_config = dict(
+    common_config=dict(max_workspace_size=1 << 30),
+    model_inputs=[
+        dict(
+            input_shapes=dict(
+                input=dict(
+                    min_shape=[1, 3, 256, 256],
+                    opt_shape=[1, 3, 256, 256],
+                    max_shape=[1, 3, 256, 256])))
+    ])

configs/mmagic/super-resolution/super-resolution_tensorrt-int8_dynamic-32x32-512x512.py

+_base_ = [
+    './super-resolution_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, 32, 32],
+                    opt_shape=[1, 3, 256, 256],
+                    max_shape=[1, 3, 512, 512])))
+    ])

configs/mmagic/super-resolution/super-resolution_tensorrt-int8_static-256x256.py

+_base_ = [
+    './super-resolution_static.py', '../../_base_/backends/tensorrt-int8.py'
+]
+onnx_config = dict(input_shape=[256, 256])
+backend_config = dict(
+    common_config=dict(max_workspace_size=1 << 30),
+    model_inputs=[
+        dict(
+            input_shapes=dict(
+                input=dict(
+                    min_shape=[1, 3, 256, 256],
+                    opt_shape=[1, 3, 256, 256],
+                    max_shape=[1, 3, 256, 256])))
+    ])

configs/mmagic/super-resolution/super-resolution_tensorrt_dynamic-32x32-512x512.py

+_base_ = ['./super-resolution_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, 32, 32],
+                    opt_shape=[1, 3, 256, 256],
+                    max_shape=[1, 3, 512, 512])))
+    ])