From 5bb19d4045e185ad9d0a239a45d41d707df29a96 Mon Sep 17 00:00:00 2001
From: Jean Schmidt <contato@jschmidt.me>
Date: Thu, 25 Jul 2024 19:54:12 +0200
Subject: [PATCH] Replace runners prefix amz2023.

---
 .github/workflows/_linux-test-cpu.yml         |    2 +-
 .github/workflows/build-gcp-docker.yml        |    2 +-
 .github/workflows/build-nightly-docker.yml    |    2 +-
 .github/workflows/clean-nightly-docker.yml    |    2 +-
 .../workflows/userbenchmark-ai-cluster.yml    |    2 +-
 .../workflows/userbenchmark-c5-24xlarge.yml   |    2 +-
 .../pytorch_unet/pytorch_unet/Dockerfile      |   18 +-
 .../yolov3/cfg/yolov3-spp-pan-scale.cfg       | 1876 ++++++++---------
 8 files changed, 953 insertions(+), 953 deletions(-)

diff --git a/.github/workflows/_linux-test-cpu.yml b/.github/workflows/_linux-test-cpu.yml
index 7aa1569797..c3b75cfff1 100644
--- a/.github/workflows/_linux-test-cpu.yml
+++ b/.github/workflows/_linux-test-cpu.yml
@@ -11,7 +11,7 @@ jobs:
   linux-test-cpu:
     # Don't run on forked repos
     if: github.repository_owner == 'pytorch'
-    runs-on: [self-hosted, linux.24xlarge]
+    runs-on: [self-hosted, amz2023.linux.24xlarge]
     timeout-minutes: 240
     environment: docker-s3-upload
     env:
diff --git a/.github/workflows/build-gcp-docker.yml b/.github/workflows/build-gcp-docker.yml
index 645a143de4..5631189db6 100644
--- a/.github/workflows/build-gcp-docker.yml
+++ b/.github/workflows/build-gcp-docker.yml
@@ -11,7 +11,7 @@ env:
 jobs:
   build-push-docker:
     if: ${{ github.repository_owner == 'pytorch' }}
-    runs-on: [self-hosted, linux.4xlarge]
+    runs-on: [self-hosted, amz2023.linux.4xlarge]
     environment: docker-s3-upload
     steps:
       - name: Checkout
diff --git a/.github/workflows/build-nightly-docker.yml b/.github/workflows/build-nightly-docker.yml
index 6af59f58c4..9d6c1b893b 100644
--- a/.github/workflows/build-nightly-docker.yml
+++ b/.github/workflows/build-nightly-docker.yml
@@ -18,7 +18,7 @@ env:
 jobs:
   build-push-docker:
     if: ${{ github.repository_owner == 'pytorch' }}
-    runs-on: [self-hosted, linux.4xlarge]
+    runs-on: [self-hosted, amz2023.linux.4xlarge]
     environment: docker-s3-upload
     steps:
       - name: Checkout
diff --git a/.github/workflows/clean-nightly-docker.yml b/.github/workflows/clean-nightly-docker.yml
index 3456323d25..c70369ae83 100644
--- a/.github/workflows/clean-nightly-docker.yml
+++ b/.github/workflows/clean-nightly-docker.yml
@@ -8,7 +8,7 @@ on:
 jobs:
   clean-push-docker:
     if: ${{ github.repository_owner == 'pytorch' }}
-    runs-on: [self-hosted, linux.2xlarge]
+    runs-on: [self-hosted, amz2023.linux.2xlarge]
     environment: docker-s3-upload
     steps:
       - uses: actions/delete-package-versions@v4
diff --git a/.github/workflows/userbenchmark-ai-cluster.yml b/.github/workflows/userbenchmark-ai-cluster.yml
index 0991c40f72..3578356560 100644
--- a/.github/workflows/userbenchmark-ai-cluster.yml
+++ b/.github/workflows/userbenchmark-ai-cluster.yml
@@ -7,7 +7,7 @@ on:
 
 jobs:
   collect-userbenchmark-result:
-    runs-on: [linux.2xlarge] # a small instance is sufficient
+    runs-on: [amz2023.linux.2xlarge] # a small instance is sufficient
     timeout-minutes: 60 # 1 hour
     environment: docker-s3-upload
     env:
diff --git a/.github/workflows/userbenchmark-c5-24xlarge.yml b/.github/workflows/userbenchmark-c5-24xlarge.yml
index 0824197fd9..42c4d6be9f 100644
--- a/.github/workflows/userbenchmark-c5-24xlarge.yml
+++ b/.github/workflows/userbenchmark-c5-24xlarge.yml
@@ -9,7 +9,7 @@ on:
 
 jobs:
   run-userbenchmark:
-    runs-on: [self-hosted, linux.24xlarge]
+    runs-on: [self-hosted, amz2023.linux.24xlarge]
     timeout-minutes: 1440 # 24 hours
     environment: docker-s3-upload
     env:
diff --git a/torchbenchmark/models/pytorch_unet/pytorch_unet/Dockerfile b/torchbenchmark/models/pytorch_unet/pytorch_unet/Dockerfile
index c106cccc56..7e3d6d33f6 100644
--- a/torchbenchmark/models/pytorch_unet/pytorch_unet/Dockerfile
+++ b/torchbenchmark/models/pytorch_unet/pytorch_unet/Dockerfile
@@ -1,9 +1,9 @@
-FROM nvcr.io/nvidia/pytorch:21.06-py3
-
-RUN rm -rf /workspace/*
-WORKDIR /workspace/unet
-
-ADD requirements.txt .
-RUN pip install --no-cache-dir --upgrade --pre pip
-RUN pip install --no-cache-dir -r requirements.txt
-ADD . .
+FROM nvcr.io/nvidia/pytorch:21.06-py3
+
+RUN rm -rf /workspace/*
+WORKDIR /workspace/unet
+
+ADD requirements.txt .
+RUN pip install --no-cache-dir --upgrade --pre pip
+RUN pip install --no-cache-dir -r requirements.txt
+ADD . .
diff --git a/torchbenchmark/models/yolov3/cfg/yolov3-spp-pan-scale.cfg b/torchbenchmark/models/yolov3/cfg/yolov3-spp-pan-scale.cfg
index d95bd52b24..99a84920f0 100644
--- a/torchbenchmark/models/yolov3/cfg/yolov3-spp-pan-scale.cfg
+++ b/torchbenchmark/models/yolov3/cfg/yolov3-spp-pan-scale.cfg
@@ -1,938 +1,938 @@
-[net]
-# Testing
-#batch=1
-#subdivisions=1
-# Training
-batch=64
-subdivisions=32
-width=544
-height=544
-channels=3
-momentum=0.9
-decay=0.0005
-angle=0
-saturation = 1.5
-exposure = 1.5
-hue=.1
-
-
-learning_rate=0.001
-burn_in=1000
-max_batches = 10000
-
-policy=steps
-steps=8000,9000
-scales=.1,.1
-
-#policy=sgdr
-#sgdr_cycle=1000
-#sgdr_mult=2
-#steps=4000,6000,8000,9000
-#scales=1, 1, 0.1, 0.1
-
-[convolutional]
-batch_normalize=1
-filters=32
-size=3
-stride=1
-pad=1
-activation=leaky
-
-# Downsample
-
-[convolutional]
-batch_normalize=1
-filters=64
-size=3
-stride=2
-pad=1
-activation=leaky
-
-[convolutional]
-batch_normalize=1
-filters=32
-size=1
-stride=1
-pad=1
-activation=leaky
-
-[convolutional]
-batch_normalize=1
-filters=64
-size=3
-stride=1
-pad=1
-activation=leaky
-
-[shortcut]
-from=-3
-activation=linear
-
-# Downsample
-
-[convolutional]
-batch_normalize=1
-filters=128
-size=3
-stride=2
-pad=1
-activation=leaky
-
-[convolutional]
-batch_normalize=1
-filters=64
-size=1
-stride=1
-pad=1
-activation=leaky
-
-[convolutional]
-batch_normalize=1
-filters=128
-size=3
-stride=1
-pad=1
-activation=leaky
-
-[shortcut]
-from=-3
-activation=linear
-
-[convolutional]
-batch_normalize=1
-filters=64
-size=1
-stride=1
-pad=1
-activation=leaky
-
-[convolutional]
-batch_normalize=1
-filters=128
-size=3
-stride=1
-pad=1
-activation=leaky
-
-[shortcut]
-from=-3
-activation=linear
-
-# Downsample
-
-[convolutional]
-batch_normalize=1
-filters=256
-size=3
-stride=2
-pad=1
-activation=leaky
-
-[convolutional]
-batch_normalize=1
-filters=128
-size=1
-stride=1
-pad=1
-activation=leaky
-
-[convolutional]
-batch_normalize=1
-filters=256
-size=3
-stride=1
-pad=1
-activation=leaky
-
-[shortcut]
-from=-3
-activation=linear
-
-[convolutional]
-batch_normalize=1
-filters=128
-size=1
-stride=1
-pad=1
-activation=leaky
-
-[convolutional]
-batch_normalize=1
-filters=256
-size=3
-stride=1
-pad=1
-activation=leaky
-
-[shortcut]
-from=-3
-activation=linear
-
-[convolutional]
-batch_normalize=1
-filters=128
-size=1
-stride=1
-pad=1
-activation=leaky
-
-[convolutional]
-batch_normalize=1
-filters=256
-size=3
-stride=1
-pad=1
-activation=leaky
-
-[shortcut]
-from=-3
-activation=linear
-
-[convolutional]
-batch_normalize=1
-filters=128
-size=1
-stride=1
-pad=1
-activation=leaky
-
-[convolutional]
-batch_normalize=1
-filters=256
-size=3
-stride=1
-pad=1
-activation=leaky
-
-[shortcut]
-from=-3
-activation=linear
-
-
-[convolutional]
-batch_normalize=1
-filters=128
-size=1
-stride=1
-pad=1
-activation=leaky
-
-[convolutional]
-batch_normalize=1
-filters=256
-size=3
-stride=1
-pad=1
-activation=leaky
-
-[shortcut]
-from=-3
-activation=linear
-
-[convolutional]
-batch_normalize=1
-filters=128
-size=1
-stride=1
-pad=1
-activation=leaky
-
-[convolutional]
-batch_normalize=1
-filters=256
-size=3
-stride=1
-pad=1
-activation=leaky
-
-[shortcut]
-from=-3
-activation=linear
-
-[convolutional]
-batch_normalize=1
-filters=128
-size=1
-stride=1
-pad=1
-activation=leaky
-
-[convolutional]
-batch_normalize=1
-filters=256
-size=3
-stride=1
-pad=1
-activation=leaky
-
-[shortcut]
-from=-3
-activation=linear
-
-[convolutional]
-batch_normalize=1
-filters=128
-size=1
-stride=1
-pad=1
-activation=leaky
-
-[convolutional]
-batch_normalize=1
-filters=256
-size=3
-stride=1
-pad=1
-activation=leaky
-
-[shortcut]
-from=-3
-activation=linear
-
-# Downsample
-
-[convolutional]
-batch_normalize=1
-filters=512
-size=3
-stride=2
-pad=1
-activation=leaky
-
-[convolutional]
-batch_normalize=1
-filters=256
-size=1
-stride=1
-pad=1
-activation=leaky
-
-[convolutional]
-batch_normalize=1
-filters=512
-size=3
-stride=1
-pad=1
-activation=leaky
-
-[shortcut]
-from=-3
-activation=linear
-
-
-[convolutional]
-batch_normalize=1
-filters=256
-size=1
-stride=1
-pad=1
-activation=leaky
-
-[convolutional]
-batch_normalize=1
-filters=512
-size=3
-stride=1
-pad=1
-activation=leaky
-
-[shortcut]
-from=-3
-activation=linear
-
-
-[convolutional]
-batch_normalize=1
-filters=256
-size=1
-stride=1
-pad=1
-activation=leaky
-
-[convolutional]
-batch_normalize=1
-filters=512
-size=3
-stride=1
-pad=1
-activation=leaky
-
-[shortcut]
-from=-3
-activation=linear
-
-
-[convolutional]
-batch_normalize=1
-filters=256
-size=1
-stride=1
-pad=1
-activation=leaky
-
-[convolutional]
-batch_normalize=1
-filters=512
-size=3
-stride=1
-pad=1
-activation=leaky
-
-[shortcut]
-from=-3
-activation=linear
-
-[convolutional]
-batch_normalize=1
-filters=256
-size=1
-stride=1
-pad=1
-activation=leaky
-
-[convolutional]
-batch_normalize=1
-filters=512
-size=3
-stride=1
-pad=1
-activation=leaky
-
-[shortcut]
-from=-3
-activation=linear
-
-
-[convolutional]
-batch_normalize=1
-filters=256
-size=1
-stride=1
-pad=1
-activation=leaky
-
-[convolutional]
-batch_normalize=1
-filters=512
-size=3
-stride=1
-pad=1
-activation=leaky
-
-[shortcut]
-from=-3
-activation=linear
-
-
-[convolutional]
-batch_normalize=1
-filters=256
-size=1
-stride=1
-pad=1
-activation=leaky
-
-[convolutional]
-batch_normalize=1
-filters=512
-size=3
-stride=1
-pad=1
-activation=leaky
-
-[shortcut]
-from=-3
-activation=linear
-
-[convolutional]
-batch_normalize=1
-filters=256
-size=1
-stride=1
-pad=1
-activation=leaky
-
-[convolutional]
-batch_normalize=1
-filters=512
-size=3
-stride=1
-pad=1
-activation=leaky
-
-[shortcut]
-from=-3
-activation=linear
-
-# Downsample
-
-[convolutional]
-batch_normalize=1
-filters=1024
-size=3
-stride=2
-pad=1
-activation=leaky
-
-[convolutional]
-batch_normalize=1
-filters=512
-size=1
-stride=1
-pad=1
-activation=leaky
-
-[convolutional]
-batch_normalize=1
-filters=1024
-size=3
-stride=1
-pad=1
-activation=leaky
-
-[shortcut]
-from=-3
-activation=linear
-
-[convolutional]
-batch_normalize=1
-filters=512
-size=1
-stride=1
-pad=1
-activation=leaky
-
-[convolutional]
-batch_normalize=1
-filters=1024
-size=3
-stride=1
-pad=1
-activation=leaky
-
-[shortcut]
-from=-3
-activation=linear
-
-[convolutional]
-batch_normalize=1
-filters=512
-size=1
-stride=1
-pad=1
-activation=leaky
-
-[convolutional]
-batch_normalize=1
-filters=1024
-size=3
-stride=1
-pad=1
-activation=leaky
-
-[shortcut]
-from=-3
-activation=linear
-
-[convolutional]
-batch_normalize=1
-filters=512
-size=1
-stride=1
-pad=1
-activation=leaky
-
-[convolutional]
-batch_normalize=1
-filters=1024
-size=3
-stride=1
-pad=1
-activation=leaky
-
-[shortcut]
-from=-3
-activation=linear
-
-######################
-
-[convolutional]
-batch_normalize=1
-filters=512
-size=1
-stride=1
-pad=1
-activation=leaky
-
-[convolutional]
-batch_normalize=1
-size=3
-stride=1
-pad=1
-filters=1024
-activation=leaky
-
-[convolutional]
-batch_normalize=1
-filters=512
-size=1
-stride=1
-pad=1
-activation=leaky
-
-### SPP ###
-[maxpool]
-stride=1
-size=5
-
-[route]
-layers=-2
-
-[maxpool]
-stride=1
-size=9
-
-[route]
-layers=-4
-
-[maxpool]
-stride=1
-size=13
-
-[route]
-layers=-1,-3,-5,-6
-
-### End SPP ###
-
-[convolutional]
-batch_normalize=1
-filters=512
-size=1
-stride=1
-pad=1
-activation=leaky
-
-
-[convolutional]
-batch_normalize=1
-size=3
-stride=1
-pad=1
-filters=1024
-activation=leaky
-
-[convolutional]
-batch_normalize=1
-filters=512
-size=1
-stride=1
-pad=1
-activation=leaky
-
-
-
-########### to [yolo-3]
-
-
-
-[route]
-layers = -4
-
-[convolutional]
-batch_normalize=1
-filters=256
-size=1
-stride=1
-pad=1
-activation=leaky
-
-[upsample]
-stride=2
-
-[route]
-layers = -1, 61
-
-
-
-[convolutional]
-batch_normalize=1
-filters=256
-size=1
-stride=1
-pad=1
-activation=leaky
-
-[convolutional]
-batch_normalize=1
-size=3
-stride=1
-pad=1
-filters=512
-activation=leaky
-
-[convolutional]
-batch_normalize=1
-filters=256
-size=1
-stride=1
-pad=1
-activation=leaky
-
-[convolutional]
-batch_normalize=1
-size=3
-stride=1
-pad=1
-filters=512
-activation=leaky
-
-[convolutional]
-batch_normalize=1
-filters=256
-size=1
-stride=1
-pad=1
-activation=leaky
-
-
-########### to [yolo-2]
-
-
-
-
-[route]
-layers = -4
-
-[convolutional]
-batch_normalize=1
-filters=128
-size=1
-stride=1
-pad=1
-activation=leaky
-
-[upsample]
-stride=2
-
-[route]
-layers = -1, 36
-
-
-
-[convolutional]
-batch_normalize=1
-filters=128
-size=1
-stride=1
-pad=1
-activation=leaky
-
-[convolutional]
-batch_normalize=1
-size=3
-stride=1
-pad=1
-filters=256
-activation=leaky
-
-[convolutional]
-batch_normalize=1
-filters=128
-size=1
-stride=1
-pad=1
-activation=leaky
-
-[convolutional]
-batch_normalize=1
-size=3
-stride=1
-pad=1
-filters=256
-activation=leaky
-
-[convolutional]
-batch_normalize=1
-filters=128
-size=1
-stride=1
-pad=1
-activation=leaky
-
-
-
-########### to [yolo-1]
-
-
-########### features of different layers
-
-
-[route]
-layers=1
-
-[reorg3d]
-stride=2
-
-[route]
-layers=5,-1
-
-[reorg3d]
-stride=2
-
-[route]
-layers=12,-1
-
-[reorg3d]
-stride=2
-
-[route]
-layers=37,-1
-
-[reorg3d]
-stride=2
-
-[route]
-layers=62,-1
-
-
-
-########### [yolo-1]
-
-[convolutional]
-batch_normalize=1
-filters=128
-size=1
-stride=1
-pad=1
-activation=leaky
-
-[upsample]
-stride=4
-
-[route]
-layers = -1,-12
-
-
-[convolutional]
-batch_normalize=1
-size=3
-stride=1
-pad=1
-filters=256
-activation=leaky
-
-[convolutional]
-size=1
-stride=1
-pad=1
-filters=340
-activation=linear
-
-
-[yolo]
-mask = 0,1,2,3
-anchors = 8,8, 10,13, 16,30, 33,23,  32,32, 30,61, 62,45, 64,64,  59,119, 116,90, 156,198, 373,326
-classes=80
-num=12
-jitter=.3
-ignore_thresh = .7
-truth_thresh = 1
-scale_x_y = 1.05
-random=0
-
-
-
-
-########### [yolo-2]
-
-
-[route]
-layers = -7
-
-[convolutional]
-batch_normalize=1
-filters=256
-size=1
-stride=1
-pad=1
-activation=leaky
-
-[upsample]
-stride=2
-
-[route]
-layers = -1,-28
-
-
-[convolutional]
-batch_normalize=1
-size=3
-stride=1
-pad=1
-filters=512
-activation=leaky
-
-[convolutional]
-size=1
-stride=1
-pad=1
-filters=340
-activation=linear
-
-
-[yolo]
-mask = 4,5,6,7
-anchors = 8,8, 10,13, 16,30, 33,23,  32,32, 30,61, 62,45, 64,64,  59,119, 116,90, 156,198, 373,326
-classes=80
-num=12
-jitter=.3
-ignore_thresh = .7
-truth_thresh = 1
-scale_x_y = 1.1
-random=0
-
-
-
-########### [yolo-3]
-
-[route]
-layers = -14
-
-[convolutional]
-batch_normalize=1
-filters=512
-size=1
-stride=1
-pad=1
-activation=leaky
-
-[route]
-layers = -1,-43
-
-[convolutional]
-batch_normalize=1
-size=3
-stride=1
-pad=1
-filters=1024
-activation=leaky
-
-
-[convolutional]
-size=1
-stride=1
-pad=1
-filters=340
-activation=linear
-
-
-[yolo]
-mask = 8,9,10,11
-anchors = 8,8, 10,13, 16,30, 33,23,  32,32, 30,61, 62,45, 59,119,   80,80, 116,90, 156,198, 373,326
-classes=80
-num=12
-jitter=.3
-ignore_thresh = .7
-truth_thresh = 1
-scale_x_y = 1.2
-random=0
+[net]
+# Testing
+#batch=1
+#subdivisions=1
+# Training
+batch=64
+subdivisions=32
+width=544
+height=544
+channels=3
+momentum=0.9
+decay=0.0005
+angle=0
+saturation = 1.5
+exposure = 1.5
+hue=.1
+
+
+learning_rate=0.001
+burn_in=1000
+max_batches = 10000
+
+policy=steps
+steps=8000,9000
+scales=.1,.1
+
+#policy=sgdr
+#sgdr_cycle=1000
+#sgdr_mult=2
+#steps=4000,6000,8000,9000
+#scales=1, 1, 0.1, 0.1
+
+[convolutional]
+batch_normalize=1
+filters=32
+size=3
+stride=1
+pad=1
+activation=leaky
+
+# Downsample
+
+[convolutional]
+batch_normalize=1
+filters=64
+size=3
+stride=2
+pad=1
+activation=leaky
+
+[convolutional]
+batch_normalize=1
+filters=32
+size=1
+stride=1
+pad=1
+activation=leaky
+
+[convolutional]
+batch_normalize=1
+filters=64
+size=3
+stride=1
+pad=1
+activation=leaky
+
+[shortcut]
+from=-3
+activation=linear
+
+# Downsample
+
+[convolutional]
+batch_normalize=1
+filters=128
+size=3
+stride=2
+pad=1
+activation=leaky
+
+[convolutional]
+batch_normalize=1
+filters=64
+size=1
+stride=1
+pad=1
+activation=leaky
+
+[convolutional]
+batch_normalize=1
+filters=128
+size=3
+stride=1
+pad=1
+activation=leaky
+
+[shortcut]
+from=-3
+activation=linear
+
+[convolutional]
+batch_normalize=1
+filters=64
+size=1
+stride=1
+pad=1
+activation=leaky
+
+[convolutional]
+batch_normalize=1
+filters=128
+size=3
+stride=1
+pad=1
+activation=leaky
+
+[shortcut]
+from=-3
+activation=linear
+
+# Downsample
+
+[convolutional]
+batch_normalize=1
+filters=256
+size=3
+stride=2
+pad=1
+activation=leaky
+
+[convolutional]
+batch_normalize=1
+filters=128
+size=1
+stride=1
+pad=1
+activation=leaky
+
+[convolutional]
+batch_normalize=1
+filters=256
+size=3
+stride=1
+pad=1
+activation=leaky
+
+[shortcut]
+from=-3
+activation=linear
+
+[convolutional]
+batch_normalize=1
+filters=128
+size=1
+stride=1
+pad=1
+activation=leaky
+
+[convolutional]
+batch_normalize=1
+filters=256
+size=3
+stride=1
+pad=1
+activation=leaky
+
+[shortcut]
+from=-3
+activation=linear
+
+[convolutional]
+batch_normalize=1
+filters=128
+size=1
+stride=1
+pad=1
+activation=leaky
+
+[convolutional]
+batch_normalize=1
+filters=256
+size=3
+stride=1
+pad=1
+activation=leaky
+
+[shortcut]
+from=-3
+activation=linear
+
+[convolutional]
+batch_normalize=1
+filters=128
+size=1
+stride=1
+pad=1
+activation=leaky
+
+[convolutional]
+batch_normalize=1
+filters=256
+size=3
+stride=1
+pad=1
+activation=leaky
+
+[shortcut]
+from=-3
+activation=linear
+
+
+[convolutional]
+batch_normalize=1
+filters=128
+size=1
+stride=1
+pad=1
+activation=leaky
+
+[convolutional]
+batch_normalize=1
+filters=256
+size=3
+stride=1
+pad=1
+activation=leaky
+
+[shortcut]
+from=-3
+activation=linear
+
+[convolutional]
+batch_normalize=1
+filters=128
+size=1
+stride=1
+pad=1
+activation=leaky
+
+[convolutional]
+batch_normalize=1
+filters=256
+size=3
+stride=1
+pad=1
+activation=leaky
+
+[shortcut]
+from=-3
+activation=linear
+
+[convolutional]
+batch_normalize=1
+filters=128
+size=1
+stride=1
+pad=1
+activation=leaky
+
+[convolutional]
+batch_normalize=1
+filters=256
+size=3
+stride=1
+pad=1
+activation=leaky
+
+[shortcut]
+from=-3
+activation=linear
+
+[convolutional]
+batch_normalize=1
+filters=128
+size=1
+stride=1
+pad=1
+activation=leaky
+
+[convolutional]
+batch_normalize=1
+filters=256
+size=3
+stride=1
+pad=1
+activation=leaky
+
+[shortcut]
+from=-3
+activation=linear
+
+# Downsample
+
+[convolutional]
+batch_normalize=1
+filters=512
+size=3
+stride=2
+pad=1
+activation=leaky
+
+[convolutional]
+batch_normalize=1
+filters=256
+size=1
+stride=1
+pad=1
+activation=leaky
+
+[convolutional]
+batch_normalize=1
+filters=512
+size=3
+stride=1
+pad=1
+activation=leaky
+
+[shortcut]
+from=-3
+activation=linear
+
+
+[convolutional]
+batch_normalize=1
+filters=256
+size=1
+stride=1
+pad=1
+activation=leaky
+
+[convolutional]
+batch_normalize=1
+filters=512
+size=3
+stride=1
+pad=1
+activation=leaky
+
+[shortcut]
+from=-3
+activation=linear
+
+
+[convolutional]
+batch_normalize=1
+filters=256
+size=1
+stride=1
+pad=1
+activation=leaky
+
+[convolutional]
+batch_normalize=1
+filters=512
+size=3
+stride=1
+pad=1
+activation=leaky
+
+[shortcut]
+from=-3
+activation=linear
+
+
+[convolutional]
+batch_normalize=1
+filters=256
+size=1
+stride=1
+pad=1
+activation=leaky
+
+[convolutional]
+batch_normalize=1
+filters=512
+size=3
+stride=1
+pad=1
+activation=leaky
+
+[shortcut]
+from=-3
+activation=linear
+
+[convolutional]
+batch_normalize=1
+filters=256
+size=1
+stride=1
+pad=1
+activation=leaky
+
+[convolutional]
+batch_normalize=1
+filters=512
+size=3
+stride=1
+pad=1
+activation=leaky
+
+[shortcut]
+from=-3
+activation=linear
+
+
+[convolutional]
+batch_normalize=1
+filters=256
+size=1
+stride=1
+pad=1
+activation=leaky
+
+[convolutional]
+batch_normalize=1
+filters=512
+size=3
+stride=1
+pad=1
+activation=leaky
+
+[shortcut]
+from=-3
+activation=linear
+
+
+[convolutional]
+batch_normalize=1
+filters=256
+size=1
+stride=1
+pad=1
+activation=leaky
+
+[convolutional]
+batch_normalize=1
+filters=512
+size=3
+stride=1
+pad=1
+activation=leaky
+
+[shortcut]
+from=-3
+activation=linear
+
+[convolutional]
+batch_normalize=1
+filters=256
+size=1
+stride=1
+pad=1
+activation=leaky
+
+[convolutional]
+batch_normalize=1
+filters=512
+size=3
+stride=1
+pad=1
+activation=leaky
+
+[shortcut]
+from=-3
+activation=linear
+
+# Downsample
+
+[convolutional]
+batch_normalize=1
+filters=1024
+size=3
+stride=2
+pad=1
+activation=leaky
+
+[convolutional]
+batch_normalize=1
+filters=512
+size=1
+stride=1
+pad=1
+activation=leaky
+
+[convolutional]
+batch_normalize=1
+filters=1024
+size=3
+stride=1
+pad=1
+activation=leaky
+
+[shortcut]
+from=-3
+activation=linear
+
+[convolutional]
+batch_normalize=1
+filters=512
+size=1
+stride=1
+pad=1
+activation=leaky
+
+[convolutional]
+batch_normalize=1
+filters=1024
+size=3
+stride=1
+pad=1
+activation=leaky
+
+[shortcut]
+from=-3
+activation=linear
+
+[convolutional]
+batch_normalize=1
+filters=512
+size=1
+stride=1
+pad=1
+activation=leaky
+
+[convolutional]
+batch_normalize=1
+filters=1024
+size=3
+stride=1
+pad=1
+activation=leaky
+
+[shortcut]
+from=-3
+activation=linear
+
+[convolutional]
+batch_normalize=1
+filters=512
+size=1
+stride=1
+pad=1
+activation=leaky
+
+[convolutional]
+batch_normalize=1
+filters=1024
+size=3
+stride=1
+pad=1
+activation=leaky
+
+[shortcut]
+from=-3
+activation=linear
+
+######################
+
+[convolutional]
+batch_normalize=1
+filters=512
+size=1
+stride=1
+pad=1
+activation=leaky
+
+[convolutional]
+batch_normalize=1
+size=3
+stride=1
+pad=1
+filters=1024
+activation=leaky
+
+[convolutional]
+batch_normalize=1
+filters=512
+size=1
+stride=1
+pad=1
+activation=leaky
+
+### SPP ###
+[maxpool]
+stride=1
+size=5
+
+[route]
+layers=-2
+
+[maxpool]
+stride=1
+size=9
+
+[route]
+layers=-4
+
+[maxpool]
+stride=1
+size=13
+
+[route]
+layers=-1,-3,-5,-6
+
+### End SPP ###
+
+[convolutional]
+batch_normalize=1
+filters=512
+size=1
+stride=1
+pad=1
+activation=leaky
+
+
+[convolutional]
+batch_normalize=1
+size=3
+stride=1
+pad=1
+filters=1024
+activation=leaky
+
+[convolutional]
+batch_normalize=1
+filters=512
+size=1
+stride=1
+pad=1
+activation=leaky
+
+
+
+########### to [yolo-3]
+
+
+
+[route]
+layers = -4
+
+[convolutional]
+batch_normalize=1
+filters=256
+size=1
+stride=1
+pad=1
+activation=leaky
+
+[upsample]
+stride=2
+
+[route]
+layers = -1, 61
+
+
+
+[convolutional]
+batch_normalize=1
+filters=256
+size=1
+stride=1
+pad=1
+activation=leaky
+
+[convolutional]
+batch_normalize=1
+size=3
+stride=1
+pad=1
+filters=512
+activation=leaky
+
+[convolutional]
+batch_normalize=1
+filters=256
+size=1
+stride=1
+pad=1
+activation=leaky
+
+[convolutional]
+batch_normalize=1
+size=3
+stride=1
+pad=1
+filters=512
+activation=leaky
+
+[convolutional]
+batch_normalize=1
+filters=256
+size=1
+stride=1
+pad=1
+activation=leaky
+
+
+########### to [yolo-2]
+
+
+
+
+[route]
+layers = -4
+
+[convolutional]
+batch_normalize=1
+filters=128
+size=1
+stride=1
+pad=1
+activation=leaky
+
+[upsample]
+stride=2
+
+[route]
+layers = -1, 36
+
+
+
+[convolutional]
+batch_normalize=1
+filters=128
+size=1
+stride=1
+pad=1
+activation=leaky
+
+[convolutional]
+batch_normalize=1
+size=3
+stride=1
+pad=1
+filters=256
+activation=leaky
+
+[convolutional]
+batch_normalize=1
+filters=128
+size=1
+stride=1
+pad=1
+activation=leaky
+
+[convolutional]
+batch_normalize=1
+size=3
+stride=1
+pad=1
+filters=256
+activation=leaky
+
+[convolutional]
+batch_normalize=1
+filters=128
+size=1
+stride=1
+pad=1
+activation=leaky
+
+
+
+########### to [yolo-1]
+
+
+########### features of different layers
+
+
+[route]
+layers=1
+
+[reorg3d]
+stride=2
+
+[route]
+layers=5,-1
+
+[reorg3d]
+stride=2
+
+[route]
+layers=12,-1
+
+[reorg3d]
+stride=2
+
+[route]
+layers=37,-1
+
+[reorg3d]
+stride=2
+
+[route]
+layers=62,-1
+
+
+
+########### [yolo-1]
+
+[convolutional]
+batch_normalize=1
+filters=128
+size=1
+stride=1
+pad=1
+activation=leaky
+
+[upsample]
+stride=4
+
+[route]
+layers = -1,-12
+
+
+[convolutional]
+batch_normalize=1
+size=3
+stride=1
+pad=1
+filters=256
+activation=leaky
+
+[convolutional]
+size=1
+stride=1
+pad=1
+filters=340
+activation=linear
+
+
+[yolo]
+mask = 0,1,2,3
+anchors = 8,8, 10,13, 16,30, 33,23,  32,32, 30,61, 62,45, 64,64,  59,119, 116,90, 156,198, 373,326
+classes=80
+num=12
+jitter=.3
+ignore_thresh = .7
+truth_thresh = 1
+scale_x_y = 1.05
+random=0
+
+
+
+
+########### [yolo-2]
+
+
+[route]
+layers = -7
+
+[convolutional]
+batch_normalize=1
+filters=256
+size=1
+stride=1
+pad=1
+activation=leaky
+
+[upsample]
+stride=2
+
+[route]
+layers = -1,-28
+
+
+[convolutional]
+batch_normalize=1
+size=3
+stride=1
+pad=1
+filters=512
+activation=leaky
+
+[convolutional]
+size=1
+stride=1
+pad=1
+filters=340
+activation=linear
+
+
+[yolo]
+mask = 4,5,6,7
+anchors = 8,8, 10,13, 16,30, 33,23,  32,32, 30,61, 62,45, 64,64,  59,119, 116,90, 156,198, 373,326
+classes=80
+num=12
+jitter=.3
+ignore_thresh = .7
+truth_thresh = 1
+scale_x_y = 1.1
+random=0
+
+
+
+########### [yolo-3]
+
+[route]
+layers = -14
+
+[convolutional]
+batch_normalize=1
+filters=512
+size=1
+stride=1
+pad=1
+activation=leaky
+
+[route]
+layers = -1,-43
+
+[convolutional]
+batch_normalize=1
+size=3
+stride=1
+pad=1
+filters=1024
+activation=leaky
+
+
+[convolutional]
+size=1
+stride=1
+pad=1
+filters=340
+activation=linear
+
+
+[yolo]
+mask = 8,9,10,11
+anchors = 8,8, 10,13, 16,30, 33,23,  32,32, 30,61, 62,45, 59,119,   80,80, 116,90, 156,198, 373,326
+classes=80
+num=12
+jitter=.3
+ignore_thresh = .7
+truth_thresh = 1
+scale_x_y = 1.2
+random=0