Delete inference time

open-mmlab · Jul 1, 2021 · f9f8aae · f9f8aae
1 parent 6c7c6fc
commit f9f8aae
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diff --git a/configs/inpainting/global_local/metafile.yml b/configs/inpainting/global_local/metafile.yml
@@ -16,18 +16,6 @@ Models:
     Config: configs/inpainting/global_local/gl_256x256_8x12_celeba.py
     Metadata:
       inference time (ms/im):
-        - value: 0.15
-          hardware: TITAN Xp
-          backend: PyTorch
-          batch size: 128
-          mode: FP32/FP16/INT8
-          resolution: (256, 256)
-        - value: 0.15
-          hardware: TITAN Xp
-          backend: PyTorch
-          batch size: 128
-          mode: FP16
-          resolution: (256, 256)
       train time (s/iter): 0.322
       Training Memory (GB): 3.24
     Results:

diff --git a/configs/restorers/edsr/metafile.yml b/configs/restorers/edsr/metafile.yml
@@ -16,18 +16,6 @@ Models:
     Config: configs/restorers/edsr/edsr_x2c64b16_g1_300k_div2k.py
     Metadata:
       inference time (ms/im):
-        - value: 0.66
-          hardware: TITAN Xp
-          backend: PyTorch
-          batch size: 1
-          mode: FP32/FP16/INT8
-          resolution: (1020, 678)
-        - value: 0.66
-          hardware: TITAN Xp
-          backend: PyTorch
-          batch size: 1
-          mode: FP16
-          resolution: (1020, 678)
       train time (s/iter): 0.060
       Training Memory (GB): 0.47
     Results:
@@ -52,19 +40,6 @@ Models:
     In Collection: EDSR
     Config: configs/restorers/edsr/edsr_x3c64b16_g1_300k_div2k.py
     Metadata:
-      inference time (ms/im):
-        - value: 1.43
-          hardware: TITAN Xp
-          backend: PyTorch
-          batch size: 1
-          mode: FP32/FP16/INT8
-          resolution: (680, 452)
-        - value: 1.43
-          hardware: TITAN Xp
-          backend: PyTorch
-          batch size: 1
-          mode: FP16
-          resolution: (680, 452)
       train time (s/iter): 0.052
       Training Memory (GB): 0.63
     Results:
@@ -89,19 +64,6 @@ Models:
     In Collection: EDSR
     Config: configs/restorers/edsr/edsr_x4c64b16_g1_300k_div2k.py
     Metadata:
-      inference time (ms/im):
-        - value: 1.43
-          hardware: TITAN Xp
-          backend: PyTorch
-          batch size: 1
-          mode: FP32/FP16/INT8
-          resolution: (510, 339)
-        - value: 1.43
-          hardware: TITAN Xp
-          backend: PyTorch
-          batch size: 1
-          mode: FP16
-          resolution: (510, 339)
       train time (s/iter): 0.076
       Training Memory (GB): 1.0
     Results: