docker file to train model with desired cuda and cudnn

Dockerfile

@@ -0,0 +1,29 @@
+# Use NVIDIA base image
+FROM nvidia/cuda:11.8.0-cudnn8-devel-ubuntu20.04
+
+# Set the working directory
+WORKDIR /app
+
+
+# Set environment variable for GitPython
+ENV GIT_PYTHON_REFRESH=quiet
+
+# Install Python and pip
+RUN apt-get update && apt-get install -y --fix-broken && \
+    apt-get install -y \
+    python3 \
+    python3-pip \
+    python3-distutils \
+    python3-setuptools \
+    python3-wheel && \
+    rm -rf /var/lib/apt/lists/*
+
+# Copy and install Python dependencies
+COPY requirements.txt .
+RUN pip install --no-cache-dir -r requirements.txt
+
+# Copy the rest of the application
+COPY . .
+
+# Specify the entry point
+CMD ["python3", "train.py", "with", "config_params_docker.json"]

config_params_docker.json

@@ -0,0 +1,54 @@
+{
+    "backbone_type" : "nontransformer",
+    "task": "segmentation",
+    "n_classes" : 3,
+    "n_epochs" : 1,
+    "input_height" : 672,
+    "input_width" : 448,
+    "weight_decay" : 1e-6,
+    "n_batch" : 4,
+    "learning_rate": 1e-4,
+    "patches" : false,
+    "pretraining" : true,
+    "augmentation" : false,
+    "flip_aug" : false,
+    "blur_aug" : true,
+    "scaling" : true,
+    "adding_rgb_background": false,
+    "adding_rgb_foreground": false,
+    "add_red_textlines": false,
+    "channels_shuffling": true,
+    "degrading": true,
+    "brightening": true,
+    "binarization" : false,
+    "scaling_bluring" : false,
+    "scaling_binarization" : false,
+    "scaling_flip" : false,
+    "rotation": false,
+    "rotation_not_90": true,
+    "transformer_num_patches_xy": [14, 21],
+    "transformer_patchsize_x": 1,
+    "transformer_patchsize_y": 1,
+    "transformer_projection_dim": 64,
+    "transformer_mlp_head_units": [128, 64],
+    "transformer_layers": 1,
+    "transformer_num_heads": 1,
+    "transformer_cnn_first": true,
+    "blur_k" : ["blur","gauss","median"],
+    "scales" : [0.6, 0.7, 0.8, 0.9],
+    "brightness" : [1.3, 1.5, 1.7, 2],
+    "degrade_scales" : [0.2, 0.4],
+    "flip_index" : [0, 1, -1],
+    "shuffle_indexes" : [ [0,2,1], [1,2,0], [1,0,2] , [2,1,0]],
+    "thetha" : [5, -5],
+    "number_of_backgrounds_per_image": 2,
+    "continue_training": false,
+    "index_start" : 0,
+    "dir_of_start_model" : " ", 
+    "weighted_loss": false,
+    "is_loss_soft_dice": true,
+    "data_is_provided": false,
+    "dir_train": "/entry_point_dir/train",
+    "dir_eval": "/entry_point_dir/eval",
+    "dir_output": "/entry_point_dir/output"
+}

train.py

@@ -53,7 +53,7 @@ def get_dirs_or_files(input_data):
     return image_input, labels_input
 
 
-ex = Experiment()
+ex = Experiment(save_git_info=False)
 
 
 @ex.config