From 41aa3125301c59da622500fe70d8497158fef00a Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Jo=C3=A3o=20Lucas=20de=20Sousa=20Almeida?= Date: Mon, 1 Jul 2024 14:39:56 -0300 Subject: [PATCH 01/12] Testing all the backbones MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit Signed-off-by: João Lucas de Sousa Almeida Testing to save and load checkpoints Signed-off-by: João Lucas de Sousa Almeida Testing finetuning for Swin Signed-off-by: João Lucas de Sousa Almeida More config files used for executing the manufactured tests Signed-off-by: João Lucas de Sousa Almeida More input/target files to perform the manufactured tests Signed-off-by: João Lucas de Sousa Almeida Automatically testing fine-tuning Signed-off-by: João Lucas de Sousa Almeida --- .../manufactured-finetune_prithvi_swin_B.yaml | 150 +++++++++++++++++ .../manufactured-finetune_prithvi_swin_L.yaml | 150 +++++++++++++++++ ...manufactured-finetune_prithvi_vit_100.yaml | 151 ++++++++++++++++++ ...manufactured-finetune_prithvi_vit_300.yaml | 150 +++++++++++++++++ tests/regression_test_input_1.tif | Bin 0 -> 1232750 bytes tests/regression_test_label_1.tif | Bin 0 -> 9057 bytes tests/test_backbones.py | 20 ++- tests/test_finetune.py | 42 +++++ 8 files changed, 662 insertions(+), 1 deletion(-) create mode 100644 tests/manufactured-finetune_prithvi_swin_B.yaml create mode 100644 tests/manufactured-finetune_prithvi_swin_L.yaml create mode 100644 tests/manufactured-finetune_prithvi_vit_100.yaml create mode 100644 tests/manufactured-finetune_prithvi_vit_300.yaml create mode 100644 tests/regression_test_input_1.tif create mode 100644 tests/regression_test_label_1.tif create mode 100644 tests/test_finetune.py diff --git a/tests/manufactured-finetune_prithvi_swin_B.yaml b/tests/manufactured-finetune_prithvi_swin_B.yaml new file mode 100644 index 00000000..fc94771a --- /dev/null +++ b/tests/manufactured-finetune_prithvi_swin_B.yaml @@ -0,0 +1,150 @@ +# lightning.pytorch==2.1.1 +seed_everything: 42 +trainer: + accelerator: auto + strategy: auto + devices: auto + num_nodes: 1 + # precision: 16-mixed + logger: + class_path: TensorBoardLogger + init_args: + save_dir: /tmp + name: all_ecos_random + callbacks: + - class_path: RichProgressBar + - class_path: LearningRateMonitor + init_args: + logging_interval: epoch + - class_path: EarlyStopping + init_args: + monitor: val/loss + patience: 100 + max_epochs: 5 + check_val_every_n_epoch: 1 + log_every_n_steps: 20 + enable_checkpointing: true + default_root_dir: /tmp +data: + class_path: GenericNonGeoPixelwiseRegressionDataModule + init_args: + batch_size: 2 + num_workers: 8 + train_transform: + - class_path: albumentations.HorizontalFlip + init_args: + p: 0.5 + - class_path: albumentations.Rotate + init_args: + limit: 30 + border_mode: 0 # cv2.BORDER_CONSTANT + value: 0 + # mask_value: 1 + p: 0.5 + - class_path: ToTensorV2 + dataset_bands: + - 0 + - BLUE + - GREEN + - RED + - NIR_NARROW + - SWIR_1 + - SWIR_2 + - 1 + - 2 + - 3 + - 4 + output_bands: + - BLUE + - GREEN + - RED + - NIR_NARROW + - SWIR_1 + - SWIR_2 + rgb_indices: + - 2 + - 1 + - 0 + train_data_root: tests/ + train_label_data_root: tests/ + val_data_root: tests/ + val_label_data_root: tests/ + test_data_root: tests/ + test_label_data_root: tests/ + img_grep: "regression*input*.tif" + label_grep: "regression*label*.tif" + means: + - 547.36707 + - 898.5121 + - 1020.9082 + - 2665.5352 + - 2340.584 + - 1610.1407 + stds: + - 411.4701 + - 558.54065 + - 815.94025 + - 812.4403 + - 1113.7145 + - 1067.641 + no_label_replace: -1 + no_data_replace: 0 + +model: + class_path: terratorch.tasks.PixelwiseRegressionTask + init_args: + model_args: + decoder: UperNetDecoder + pretrained: true + backbone: prithvi_swin_B + backbone_pretrained_cfg_overlay: + file: /tmp/prithvi_swin_B.pt + backbone_drop_path_rate: 0.3 + # backbone_window_size: 8 + decoder_channels: 256 + in_channels: 6 + bands: + - BLUE + - GREEN + - RED + - NIR_NARROW + - SWIR_1 + - SWIR_2 + num_frames: 1 + head_dropout: 0.5708022831486758 + head_final_act: torch.nn.ReLU + head_learned_upscale_layers: 2 + loss: rmse + #aux_heads: + # - name: aux_head + # decoder: IdentityDecoder + # decoder_args: + # decoder_out_index: 2 + # head_dropout: 0,5 + # head_channel_list: + # - 64 + # head_final_act: torch.nn.ReLU + #aux_loss: + # aux_head: 0.4 + ignore_index: -1 + freeze_backbone: false + freeze_decoder: false + model_factory: PrithviModelFactory + + # uncomment this block for tiled inference + # tiled_inference_parameters: + # h_crop: 224 + # h_stride: 192 + # w_crop: 224 + # w_stride: 192 + # average_patches: true +optimizer: + class_path: torch.optim.AdamW + init_args: + lr: 0.00013524680528283027 + weight_decay: 0.047782217873995426 +lr_scheduler: + class_path: ReduceLROnPlateau + init_args: + monitor: val/loss + diff --git a/tests/manufactured-finetune_prithvi_swin_L.yaml b/tests/manufactured-finetune_prithvi_swin_L.yaml new file mode 100644 index 00000000..89703f73 --- /dev/null +++ b/tests/manufactured-finetune_prithvi_swin_L.yaml @@ -0,0 +1,150 @@ +# lightning.pytorch==2.1.1 +seed_everything: 42 +trainer: + accelerator: auto + strategy: auto + devices: auto + num_nodes: 1 + # precision: 16-mixed + logger: + class_path: TensorBoardLogger + init_args: + save_dir: /tmp + name: all_ecos_random + callbacks: + - class_path: RichProgressBar + - class_path: LearningRateMonitor + init_args: + logging_interval: epoch + - class_path: EarlyStopping + init_args: + monitor: val/loss + patience: 100 + max_epochs: 5 + check_val_every_n_epoch: 1 + log_every_n_steps: 20 + enable_checkpointing: true + default_root_dir: /tmp +data: + class_path: GenericNonGeoPixelwiseRegressionDataModule + init_args: + batch_size: 2 + num_workers: 8 + train_transform: + - class_path: albumentations.HorizontalFlip + init_args: + p: 0.5 + - class_path: albumentations.Rotate + init_args: + limit: 30 + border_mode: 0 # cv2.BORDER_CONSTANT + value: 0 + # mask_value: 1 + p: 0.5 + - class_path: ToTensorV2 + dataset_bands: + - 0 + - BLUE + - GREEN + - RED + - NIR_NARROW + - SWIR_1 + - SWIR_2 + - 1 + - 2 + - 3 + - 4 + output_bands: + - BLUE + - GREEN + - RED + - NIR_NARROW + - SWIR_1 + - SWIR_2 + rgb_indices: + - 2 + - 1 + - 0 + train_data_root: tests/ + train_label_data_root: tests/ + val_data_root: tests/ + val_label_data_root: tests/ + test_data_root: tests/ + test_label_data_root: tests/ + img_grep: "regression*input*.tif" + label_grep: "regression*label*.tif" + means: + - 547.36707 + - 898.5121 + - 1020.9082 + - 2665.5352 + - 2340.584 + - 1610.1407 + stds: + - 411.4701 + - 558.54065 + - 815.94025 + - 812.4403 + - 1113.7145 + - 1067.641 + no_label_replace: -1 + no_data_replace: 0 + +model: + class_path: terratorch.tasks.PixelwiseRegressionTask + init_args: + model_args: + decoder: UperNetDecoder + pretrained: true + backbone: prithvi_swin_L + backbone_pretrained_cfg_overlay: + file: /tmp/prithvi_swin_L.pt + backbone_drop_path_rate: 0.3 + # backbone_window_size: 8 + decoder_channels: 64 + in_channels: 6 + bands: + - BLUE + - GREEN + - RED + - NIR_NARROW + - SWIR_1 + - SWIR_2 + num_frames: 1 + head_dropout: 0.5708022831486758 + head_final_act: torch.nn.ReLU + head_learned_upscale_layers: 2 + loss: rmse + #aux_heads: + # - name: aux_head + # decoder: IdentityDecoder + # decoder_args: + # decoder_out_index: 2 + # head_dropout: 0,5 + # head_channel_list: + # - 64 + # head_final_act: torch.nn.ReLU + #aux_loss: + # aux_head: 0.4 + ignore_index: -1 + freeze_backbone: false + freeze_decoder: false + model_factory: PrithviModelFactory + + # uncomment this block for tiled inference + # tiled_inference_parameters: + # h_crop: 224 + # h_stride: 192 + # w_crop: 224 + # w_stride: 192 + # average_patches: true +optimizer: + class_path: torch.optim.AdamW + init_args: + lr: 0.00013524680528283027 + weight_decay: 0.047782217873995426 +lr_scheduler: + class_path: ReduceLROnPlateau + init_args: + monitor: val/loss + diff --git a/tests/manufactured-finetune_prithvi_vit_100.yaml b/tests/manufactured-finetune_prithvi_vit_100.yaml new file mode 100644 index 00000000..73543457 --- /dev/null +++ b/tests/manufactured-finetune_prithvi_vit_100.yaml @@ -0,0 +1,151 @@ +# lightning.pytorch==2.1.1 +seed_everything: 42 +trainer: + accelerator: auto + strategy: auto + devices: auto + num_nodes: 1 + # precision: 16-mixed + logger: + class_path: TensorBoardLogger + init_args: + save_dir: /tmp + name: all_ecos_random + callbacks: + - class_path: RichProgressBar + - class_path: LearningRateMonitor + init_args: + logging_interval: epoch + - class_path: EarlyStopping + init_args: + monitor: val/loss + patience: 100 + max_epochs: 5 + check_val_every_n_epoch: 1 + log_every_n_steps: 20 + enable_checkpointing: true + default_root_dir: /tmp +data: + class_path: GenericNonGeoPixelwiseRegressionDataModule + init_args: + batch_size: 2 + num_workers: 8 + train_transform: + - class_path: albumentations.HorizontalFlip + init_args: + p: 0.5 + - class_path: albumentations.Rotate + init_args: + limit: 30 + border_mode: 0 # cv2.BORDER_CONSTANT + value: 0 + # mask_value: 1 + p: 0.5 + - class_path: ToTensorV2 + dataset_bands: + - 0 + - BLUE + - GREEN + - RED + - NIR_NARROW + - SWIR_1 + - SWIR_2 + - 1 + - 2 + - 3 + - 4 + output_bands: + - BLUE + - GREEN + - RED + - NIR_NARROW + - SWIR_1 + - SWIR_2 + rgb_indices: + - 2 + - 1 + - 0 + train_data_root: tests/ + train_label_data_root: tests/ + val_data_root: tests/ + val_label_data_root: tests/ + test_data_root: tests/ + test_label_data_root: tests/ + img_grep: "regression*input*.tif" + label_grep: "regression*label*.tif" + means: + - 547.36707 + - 898.5121 + - 1020.9082 + - 2665.5352 + - 2340.584 + - 1610.1407 + stds: + - 411.4701 + - 558.54065 + - 815.94025 + - 812.4403 + - 1113.7145 + - 1067.641 + no_label_replace: -1 + no_data_replace: 0 + +model: + class_path: terratorch.tasks.PixelwiseRegressionTask + init_args: + model_args: + decoder: UperNetDecoder + pretrained: true + backbone: prithvi_vit_100 + backbone_pretrained_cfg_overlay: + file: /tmp/prithvi_vit_100.pt + backbone_drop_path_rate: 0.3 + num_frames: 1 + # backbone_window_size: 8 + decoder_channels: 64 + in_channels: 6 + bands: + - BLUE + - GREEN + - RED + - NIR_NARROW + - SWIR_1 + - SWIR_2 + num_frames: 1 + head_dropout: 0.5708022831486758 + head_final_act: torch.nn.ReLU + head_learned_upscale_layers: 2 + loss: rmse + #aux_heads: + # - name: aux_head + # decoder: IdentityDecoder + # decoder_args: + # decoder_out_index: 2 + # head_dropout: 0,5 + # head_channel_list: + # - 64 + # head_final_act: torch.nn.ReLU + #aux_loss: + # aux_head: 0.4 + ignore_index: -1 + freeze_backbone: false + freeze_decoder: false + model_factory: PrithviModelFactory + + # uncomment this block for tiled inference + # tiled_inference_parameters: + # h_crop: 224 + # h_stride: 192 + # w_crop: 224 + # w_stride: 192 + # average_patches: true +optimizer: + class_path: torch.optim.AdamW + init_args: + lr: 0.00013524680528283027 + weight_decay: 0.047782217873995426 +lr_scheduler: + class_path: ReduceLROnPlateau + init_args: + monitor: val/loss + diff --git a/tests/manufactured-finetune_prithvi_vit_300.yaml b/tests/manufactured-finetune_prithvi_vit_300.yaml new file mode 100644 index 00000000..79098c33 --- /dev/null +++ b/tests/manufactured-finetune_prithvi_vit_300.yaml @@ -0,0 +1,150 @@ +# lightning.pytorch==2.1.1 +seed_everything: 42 +trainer: + accelerator: auto + strategy: auto + devices: auto + num_nodes: 1 + # precision: 16-mixed + logger: + class_path: TensorBoardLogger + init_args: + save_dir: /tmp + name: all_ecos_random + callbacks: + - class_path: RichProgressBar + - class_path: LearningRateMonitor + init_args: + logging_interval: epoch + - class_path: EarlyStopping + init_args: + monitor: val/loss + patience: 100 + max_epochs: 5 + check_val_every_n_epoch: 1 + log_every_n_steps: 20 + enable_checkpointing: true + default_root_dir: /tmp +data: + class_path: GenericNonGeoPixelwiseRegressionDataModule + init_args: + batch_size: 2 + num_workers: 8 + train_transform: + - class_path: albumentations.HorizontalFlip + init_args: + p: 0.5 + - class_path: albumentations.Rotate + init_args: + limit: 30 + border_mode: 0 # cv2.BORDER_CONSTANT + value: 0 + # mask_value: 1 + p: 0.5 + - class_path: ToTensorV2 + dataset_bands: + - 0 + - BLUE + - GREEN + - RED + - NIR_NARROW + - SWIR_1 + - SWIR_2 + - 1 + - 2 + - 3 + - 4 + output_bands: + - BLUE + - GREEN + - RED + - NIR_NARROW + - SWIR_1 + - SWIR_2 + rgb_indices: + - 2 + - 1 + - 0 + train_data_root: tests/ + train_label_data_root: tests/ + val_data_root: tests/ + val_label_data_root: tests/ + test_data_root: tests/ + test_label_data_root: tests/ + img_grep: "regression*input*.tif" + label_grep: "regression*label*.tif" + means: + - 547.36707 + - 898.5121 + - 1020.9082 + - 2665.5352 + - 2340.584 + - 1610.1407 + stds: + - 411.4701 + - 558.54065 + - 815.94025 + - 812.4403 + - 1113.7145 + - 1067.641 + no_label_replace: -1 + no_data_replace: 0 + +model: + class_path: terratorch.tasks.PixelwiseRegressionTask + init_args: + model_args: + decoder: UperNetDecoder + pretrained: true + backbone: prithvi_vit_300 + backbone_pretrained_cfg_overlay: + file: /tmp/prithvi_vit_300.pt + backbone_drop_path_rate: 0.3 + # backbone_window_size: 8 + decoder_channels: 64 + in_channels: 6 + bands: + - BLUE + - GREEN + - RED + - NIR_NARROW + - SWIR_1 + - SWIR_2 + num_frames: 1 + head_dropout: 0.5708022831486758 + head_final_act: torch.nn.ReLU + head_learned_upscale_layers: 2 + loss: rmse + #aux_heads: + # - name: aux_head + # decoder: IdentityDecoder + # decoder_args: + # decoder_out_index: 2 + # head_dropout: 0,5 + # head_channel_list: + # - 64 + # head_final_act: torch.nn.ReLU + #aux_loss: + # aux_head: 0.4 + ignore_index: -1 + freeze_backbone: false + freeze_decoder: false + model_factory: PrithviModelFactory + + # uncomment this block for tiled inference + # tiled_inference_parameters: + # h_crop: 224 + # h_stride: 192 + # w_crop: 224 + # w_stride: 192 + # average_patches: true +optimizer: + class_path: torch.optim.AdamW + init_args: + lr: 0.00013524680528283027 + weight_decay: 0.047782217873995426 +lr_scheduler: + class_path: ReduceLROnPlateau + init_args: + monitor: val/loss + diff --git a/tests/regression_test_input_1.tif b/tests/regression_test_input_1.tif new file mode 100644 index 0000000000000000000000000000000000000000..5db7593c493ad2b52825e397f45f4d06e7217fdf GIT binary patch literal 1232750 zcmZs?30M=y|M)+<*@Pr)l1+#Z0^%kF2!{{>5fO0{u7C)L7oJTxETSS%Y7wp71jLAl zfQX1kLqx5CBH}S3exb@qdJI z`fr#|l-~7!=qLUUIfas0)b&qx08FFg;WSXHc-&$X&?p(FWPJ$=7?d1J$%og{08YtS zlze0@4BRNWnUZyl@PERbqvYWq{{Q%gjiB`w=Tan7xKQ|01X8S`i2pCMDL0B@ zIBXn65XEqLnkc@fXrve}<0gvXu)}!_r>~_Lu8W3ZIPYAF;dC$xFN*O0`iJW{nL031I4gDkHSLn6UA^^!|4piw{ryG4CU5QG*h%vm?<_>9H1~#9HQ7qF`U;i zisAfrQ5>e&OEKI&wG=xkhWl{XzmlSuVz~bnQ2aSQ9v;q?l{Hp*cjFikAsg?`YOsD9#hjOA}PWthTC+w z&4%+_N-O57ZxqGwm>aJ9*A&C?hVvx<>mSbd5_NAfs2g^65Y?w@s(kfS0O|(-Tz^ZIfdzqwZV*@;41o`E5Gec#0&fZ+;9CX(-H#Ah 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test_vit_models_accept_multitemporal(model_name, input_224_multitemporal): backbone = timm.create_model(model_name, pretrained=False, num_frames=NUM_FRAMES) backbone(input_224_multitemporal) +@pytest.mark.parametrize("model_name", ["prithvi_swin_B", "prithvi_swin_L", "prithvi_vit_100", "prithvi_vit_300", "prithvi_vit_tiny"]) +def test_all_backbone_instantiation(model_name): + + if "vit" in model_name : + module_str = "terratorch.models.backbones.prithvi_vit" + elif "swin" in model_name: + module_str = "terratorch.models.backbones.prithvi_swin" + + module_instance = importlib.import_module(module_str) + + model_template = getattr(module_instance, model_name) + + model_instance = model_template() + + torch.save(model_instance.state_dict(), os.path.join("/tmp", str(id(model_instance)) + ".pth")) + + model_restored = torch.load(os.path.join("/tmp", str(id(model_instance)) + ".pth")) #def test_swin_models_accept_non_divisible_by_patch_size(input_386): # backbone = timm.create_model("prithvi_swin_90_us", pretrained=False, num_frames=NUM_FRAMES) diff --git a/tests/test_finetune.py b/tests/test_finetune.py new file mode 100644 index 00000000..6c1ac224 --- /dev/null +++ b/tests/test_finetune.py @@ -0,0 +1,42 @@ +import pytest +import timm +import torch +import importlib +import terratorch +import subprocess +import os + +from terratorch.models.backbones.prithvi_vit import checkpoint_filter_fn as checkpoint_filter_fn_vit +from terratorch.models.backbones.prithvi_swin import checkpoint_filter_fn as checkpoint_filter_fn_swin + +@pytest.mark.parametrize("model_name", ["prithvi_swin_B", "prithvi_swin_L", "prithvi_vit_100", "prithvi_vit_300"]) +def test_finetune_multiple_backbones(model_name): + + # Instantiating and creating a manufactured + # checkpoint just to test the finetuning pipeline + if "vit" in model_name : + module_str = "terratorch.models.backbones.prithvi_vit" + ckpt_filter = checkpoint_filter_fn_vit + elif "swin" in model_name: + module_str = "terratorch.models.backbones.prithvi_swin" + ckpt_filter = checkpoint_filter_fn_swin + + module_instance = importlib.import_module(module_str) + + model_template = getattr(module_instance, model_name) + + model_instance = model_template() + + pretrained_bands = [0, 1, 2, 3, 4, 5] + model_bands = [0, 1, 2, 3, 4, 5] + + filtered_state_dict = ckpt_filter(model_instance.state_dict(), model_instance, pretrained_bands, model_bands) + + torch.save(filtered_state_dict, os.path.join("/tmp", model_name + ".pt")) + + # Running the terratorch CLI + command_str = f"terratorch fit -c tests/manufactured-finetune_{model_name}.yaml" + + subprocess.run(command_str, shell=True) + + From 148432073b17c8266e8b2fcf2cc5abc4dc24b0e7 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Jo=C3=A3o=20Lucas=20de=20Sousa=20Almeida?= Date: Mon, 1 Jul 2024 18:05:31 -0300 Subject: [PATCH 02/12] Guaranteeing an exception when the CLI tests don't work MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit Signed-off-by: João Lucas de Sousa Almeida --- tests/test_finetune.py | 9 ++++++--- 1 file changed, 6 insertions(+), 3 deletions(-) diff --git a/tests/test_finetune.py b/tests/test_finetune.py index 6c1ac224..5355151d 100644 --- a/tests/test_finetune.py +++ b/tests/test_finetune.py @@ -34,9 +34,12 @@ def test_finetune_multiple_backbones(model_name): torch.save(filtered_state_dict, os.path.join("/tmp", model_name + ".pt")) - # Running the terratorch CLI - command_str = f"terratorch fit -c tests/manufactured-finetune_{model_name}.yaml" + try: + # Running the terratorch CLI + command_str = f"terratorch fit -c tests/manufactured-finetune_{model_name}.yaml" - subprocess.run(command_str, shell=True) + subprocess.run(command_str, shell=True) + except: + Exception("Fine-tuning cannot be executed.") From 7de9aee2a0da4a25bb7b8d6ce35a29af8bc36285 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Jo=C3=A3o=20Lucas=20de=20Sousa=20Almeida?= Date: Mon, 1 Jul 2024 18:24:42 -0300 Subject: [PATCH 03/12] Changing workdir MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit Signed-off-by: João Lucas de Sousa Almeida --- tests/test_backbones.py | 4 ++-- tests/test_finetune.py | 4 ++-- 2 files changed, 4 insertions(+), 4 deletions(-) diff --git a/tests/test_backbones.py b/tests/test_backbones.py index b38e2b77..1e320dd3 100644 --- a/tests/test_backbones.py +++ b/tests/test_backbones.py @@ -64,9 +64,9 @@ def test_all_backbone_instantiation(model_name): model_instance = model_template() - torch.save(model_instance.state_dict(), os.path.join("/tmp", str(id(model_instance)) + ".pth")) + torch.save(model_instance.state_dict(), os.path.join("tests/", str(id(model_instance)) + ".pth")) - model_restored = torch.load(os.path.join("/tmp", str(id(model_instance)) + ".pth")) + model_restored = torch.load(os.path.join("tests/", str(id(model_instance)) + ".pth")) #def test_swin_models_accept_non_divisible_by_patch_size(input_386): # backbone = timm.create_model("prithvi_swin_90_us", pretrained=False, num_frames=NUM_FRAMES) diff --git a/tests/test_finetune.py b/tests/test_finetune.py index 5355151d..65121435 100644 --- a/tests/test_finetune.py +++ b/tests/test_finetune.py @@ -32,7 +32,7 @@ def test_finetune_multiple_backbones(model_name): filtered_state_dict = ckpt_filter(model_instance.state_dict(), model_instance, pretrained_bands, model_bands) - torch.save(filtered_state_dict, os.path.join("/tmp", model_name + ".pt")) + torch.save(filtered_state_dict, os.path.join("tests/", model_name + ".pt")) try: # Running the terratorch CLI @@ -42,4 +42,4 @@ def test_finetune_multiple_backbones(model_name): except: Exception("Fine-tuning cannot be executed.") - + From e2cebea6141ad417c877bedf0557afcb30d987d6 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Jo=C3=A3o=20Lucas=20de=20Sousa=20Almeida?= Date: Tue, 2 Jul 2024 08:54:51 -0300 Subject: [PATCH 04/12] This test is not necessary MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit Signed-off-by: João Lucas de Sousa Almeida --- tests/test_backbones.py | 18 ------------------ 1 file changed, 18 deletions(-) diff --git a/tests/test_backbones.py b/tests/test_backbones.py index 1e320dd3..57d42f01 100644 --- a/tests/test_backbones.py +++ b/tests/test_backbones.py @@ -50,24 +50,6 @@ def test_vit_models_accept_multitemporal(model_name, input_224_multitemporal): backbone = timm.create_model(model_name, pretrained=False, num_frames=NUM_FRAMES) backbone(input_224_multitemporal) -@pytest.mark.parametrize("model_name", ["prithvi_swin_B", "prithvi_swin_L", "prithvi_vit_100", "prithvi_vit_300", "prithvi_vit_tiny"]) -def test_all_backbone_instantiation(model_name): - - if "vit" in model_name : - module_str = "terratorch.models.backbones.prithvi_vit" - elif "swin" in model_name: - module_str = "terratorch.models.backbones.prithvi_swin" - - module_instance = importlib.import_module(module_str) - - model_template = getattr(module_instance, model_name) - - model_instance = model_template() - - torch.save(model_instance.state_dict(), os.path.join("tests/", str(id(model_instance)) + ".pth")) - - model_restored = torch.load(os.path.join("tests/", str(id(model_instance)) + ".pth")) - #def test_swin_models_accept_non_divisible_by_patch_size(input_386): # backbone = timm.create_model("prithvi_swin_90_us", pretrained=False, num_frames=NUM_FRAMES) # backbone(input_386) From 772497279ab7e303de795b3d736832db6b8bf45f Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Jo=C3=A3o=20Lucas=20de=20Sousa=20Almeida?= Date: Tue, 2 Jul 2024 09:43:21 -0300 Subject: [PATCH 05/12] Checking if the fine-tune command returned 0 MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit Signed-off-by: João Lucas de Sousa Almeida --- tests/manufactured-finetune_prithvi_swin_B.yaml | 2 +- tests/manufactured-finetune_prithvi_swin_L.yaml | 2 +- tests/manufactured-finetune_prithvi_vit_100.yaml | 2 +- tests/manufactured-finetune_prithvi_vit_300.yaml | 2 +- tests/test_finetune.py | 12 ++++++------ 5 files changed, 10 insertions(+), 10 deletions(-) diff --git a/tests/manufactured-finetune_prithvi_swin_B.yaml b/tests/manufactured-finetune_prithvi_swin_B.yaml index fc94771a..54e2bf9d 100644 --- a/tests/manufactured-finetune_prithvi_swin_B.yaml +++ b/tests/manufactured-finetune_prithvi_swin_B.yaml @@ -98,7 +98,7 @@ model: pretrained: true backbone: prithvi_swin_B backbone_pretrained_cfg_overlay: - file: /tmp/prithvi_swin_B.pt + file: tests/prithvi_swin_B.pt backbone_drop_path_rate: 0.3 # backbone_window_size: 8 decoder_channels: 256 diff --git a/tests/manufactured-finetune_prithvi_swin_L.yaml b/tests/manufactured-finetune_prithvi_swin_L.yaml index 89703f73..3b8f557f 100644 --- a/tests/manufactured-finetune_prithvi_swin_L.yaml +++ b/tests/manufactured-finetune_prithvi_swin_L.yaml @@ -98,7 +98,7 @@ model: pretrained: true backbone: prithvi_swin_L backbone_pretrained_cfg_overlay: - file: /tmp/prithvi_swin_L.pt + file: tests/prithvi_swin_L.pt backbone_drop_path_rate: 0.3 # backbone_window_size: 8 decoder_channels: 64 diff --git a/tests/manufactured-finetune_prithvi_vit_100.yaml b/tests/manufactured-finetune_prithvi_vit_100.yaml index 73543457..6a2a3eff 100644 --- a/tests/manufactured-finetune_prithvi_vit_100.yaml +++ b/tests/manufactured-finetune_prithvi_vit_100.yaml @@ -98,7 +98,7 @@ model: pretrained: true backbone: prithvi_vit_100 backbone_pretrained_cfg_overlay: - file: /tmp/prithvi_vit_100.pt + file: tests/prithvi_vit_100.pt backbone_drop_path_rate: 0.3 num_frames: 1 # backbone_window_size: 8 diff --git a/tests/manufactured-finetune_prithvi_vit_300.yaml b/tests/manufactured-finetune_prithvi_vit_300.yaml index 79098c33..5ed237c3 100644 --- a/tests/manufactured-finetune_prithvi_vit_300.yaml +++ b/tests/manufactured-finetune_prithvi_vit_300.yaml @@ -98,7 +98,7 @@ model: pretrained: true backbone: prithvi_vit_300 backbone_pretrained_cfg_overlay: - file: /tmp/prithvi_vit_300.pt + file: tests/prithvi_vit_300.pt backbone_drop_path_rate: 0.3 # backbone_window_size: 8 decoder_channels: 64 diff --git a/tests/test_finetune.py b/tests/test_finetune.py index 65121435..d0d67848 100644 --- a/tests/test_finetune.py +++ b/tests/test_finetune.py @@ -34,12 +34,12 @@ def test_finetune_multiple_backbones(model_name): torch.save(filtered_state_dict, os.path.join("tests/", model_name + ".pt")) - try: - # Running the terratorch CLI - command_str = f"terratorch fit -c tests/manufactured-finetune_{model_name}.yaml" + # Running the terratorch CLI + command_str = f"terratorch fit -c tests/manufactured-finetune_{model_name}.yaml" + + command_out = subprocess.run(command_str, shell=True) + + assert not command_out.returncode - subprocess.run(command_str, shell=True) - except: - Exception("Fine-tuning cannot be executed.") From 6b2f76a07f2920a1ca2aeb782466ac6f716e55ed Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Jo=C3=A3o=20Lucas=20de=20Sousa=20Almeida?= Date: Tue, 2 Jul 2024 09:43:47 -0300 Subject: [PATCH 06/12] Ignoring locally created checkpoints MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit Signed-off-by: João Lucas de Sousa Almeida --- .gitignore | 4 +++- 1 file changed, 3 insertions(+), 1 deletion(-) diff --git a/.gitignore b/.gitignore index b2e2d4d6..f85d05b3 100644 --- a/.gitignore +++ b/.gitignore @@ -3,4 +3,6 @@ site/* build/* dist/* *.egg-info -*.ipynb_checkpoints \ No newline at end of file +*.ipynb_checkpoints +**/*pt +**/*pth From c51b380a51afca7e916d7a6bbc971d541eff9425 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Jo=C3=A3o=20Lucas=20de=20Sousa=20Almeida?= Date: Tue, 2 Jul 2024 10:23:22 -0300 Subject: [PATCH 07/12] Minor adjusts MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit Signed-off-by: João Lucas de Sousa Almeida --- tests/manufactured-finetune_prithvi_vit_300.yaml | 1 + 1 file changed, 1 insertion(+) diff --git a/tests/manufactured-finetune_prithvi_vit_300.yaml b/tests/manufactured-finetune_prithvi_vit_300.yaml index 5ed237c3..1012567b 100644 --- a/tests/manufactured-finetune_prithvi_vit_300.yaml +++ b/tests/manufactured-finetune_prithvi_vit_300.yaml @@ -102,6 +102,7 @@ model: backbone_drop_path_rate: 0.3 # backbone_window_size: 8 decoder_channels: 64 + num_frames: 1 in_channels: 6 bands: - BLUE From efb3e4d3b8484699524cf50656c203c44e8c6687 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Jo=C3=A3o=20Lucas=20de=20Sousa=20Almeida?= Date: Tue, 2 Jul 2024 11:07:39 -0300 Subject: [PATCH 08/12] Minor adjusts MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit Signed-off-by: João Lucas de Sousa Almeida --- tests/manufactured-finetune_prithvi_swin_B.yaml | 4 ++-- tests/manufactured-finetune_prithvi_swin_L.yaml | 4 ++-- tests/manufactured-finetune_prithvi_vit_100.yaml | 4 ++-- tests/manufactured-finetune_prithvi_vit_300.yaml | 4 ++-- 4 files changed, 8 insertions(+), 8 deletions(-) diff --git a/tests/manufactured-finetune_prithvi_swin_B.yaml b/tests/manufactured-finetune_prithvi_swin_B.yaml index 54e2bf9d..29de190a 100644 --- a/tests/manufactured-finetune_prithvi_swin_B.yaml +++ b/tests/manufactured-finetune_prithvi_swin_B.yaml @@ -9,7 +9,7 @@ trainer: logger: class_path: TensorBoardLogger init_args: - save_dir: /tmp + save_dir: tests/ name: all_ecos_random callbacks: - class_path: RichProgressBar @@ -24,7 +24,7 @@ trainer: check_val_every_n_epoch: 1 log_every_n_steps: 20 enable_checkpointing: true - default_root_dir: /tmp + default_root_dir: tests/ data: class_path: GenericNonGeoPixelwiseRegressionDataModule init_args: diff --git a/tests/manufactured-finetune_prithvi_swin_L.yaml b/tests/manufactured-finetune_prithvi_swin_L.yaml index 3b8f557f..1001c625 100644 --- a/tests/manufactured-finetune_prithvi_swin_L.yaml +++ b/tests/manufactured-finetune_prithvi_swin_L.yaml @@ -9,7 +9,7 @@ trainer: logger: class_path: TensorBoardLogger init_args: - save_dir: /tmp + save_dir: tests/ name: all_ecos_random callbacks: - class_path: RichProgressBar @@ -24,7 +24,7 @@ trainer: check_val_every_n_epoch: 1 log_every_n_steps: 20 enable_checkpointing: true - default_root_dir: /tmp + default_root_dir: tests/ data: class_path: GenericNonGeoPixelwiseRegressionDataModule init_args: diff --git a/tests/manufactured-finetune_prithvi_vit_100.yaml b/tests/manufactured-finetune_prithvi_vit_100.yaml index 6a2a3eff..a61542b6 100644 --- a/tests/manufactured-finetune_prithvi_vit_100.yaml +++ b/tests/manufactured-finetune_prithvi_vit_100.yaml @@ -9,7 +9,7 @@ trainer: logger: class_path: TensorBoardLogger init_args: - save_dir: /tmp + save_dir: tests/ name: all_ecos_random callbacks: - class_path: RichProgressBar @@ -24,7 +24,7 @@ trainer: check_val_every_n_epoch: 1 log_every_n_steps: 20 enable_checkpointing: true - default_root_dir: /tmp + default_root_dir: tests/ data: class_path: GenericNonGeoPixelwiseRegressionDataModule init_args: diff --git a/tests/manufactured-finetune_prithvi_vit_300.yaml b/tests/manufactured-finetune_prithvi_vit_300.yaml index 1012567b..f756d51f 100644 --- a/tests/manufactured-finetune_prithvi_vit_300.yaml +++ b/tests/manufactured-finetune_prithvi_vit_300.yaml @@ -9,7 +9,7 @@ trainer: logger: class_path: TensorBoardLogger init_args: - save_dir: /tmp + save_dir: tests/ name: all_ecos_random callbacks: - class_path: RichProgressBar @@ -24,7 +24,7 @@ trainer: check_val_every_n_epoch: 1 log_every_n_steps: 20 enable_checkpointing: true - default_root_dir: /tmp + default_root_dir: tests/ data: class_path: GenericNonGeoPixelwiseRegressionDataModule init_args: From 4d18145a1093c01161eda8ba714f1e180cb09572 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Jo=C3=A3o=20Lucas=20de=20Sousa=20Almeida?= Date: Tue, 2 Jul 2024 11:24:28 -0300 Subject: [PATCH 09/12] More detailed info about the tests MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit Signed-off-by: João Lucas de Sousa Almeida --- .github/workflows/test.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/.github/workflows/test.yaml b/.github/workflows/test.yaml index aea5bf99..6ddea9cc 100644 --- a/.github/workflows/test.yaml +++ b/.github/workflows/test.yaml @@ -24,4 +24,4 @@ jobs: pip install -e . - name: Test with pytest run: | - pytest tests + pytest -s tests From f08c2ebbc14cebe439d572b9ad37f47fc71140af Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Jo=C3=A3o=20Lucas=20de=20Sousa=20Almeida?= Date: Tue, 2 Jul 2024 11:37:50 -0300 Subject: [PATCH 10/12] Less workers MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit Signed-off-by: João Lucas de Sousa Almeida --- tests/manufactured-finetune_prithvi_swin_B.yaml | 2 +- tests/manufactured-finetune_prithvi_swin_L.yaml | 2 +- tests/manufactured-finetune_prithvi_vit_100.yaml | 2 +- tests/manufactured-finetune_prithvi_vit_300.yaml | 2 +- 4 files changed, 4 insertions(+), 4 deletions(-) diff --git a/tests/manufactured-finetune_prithvi_swin_B.yaml b/tests/manufactured-finetune_prithvi_swin_B.yaml index 29de190a..73bea24c 100644 --- a/tests/manufactured-finetune_prithvi_swin_B.yaml +++ b/tests/manufactured-finetune_prithvi_swin_B.yaml @@ -29,7 +29,7 @@ data: class_path: GenericNonGeoPixelwiseRegressionDataModule init_args: batch_size: 2 - num_workers: 8 + num_workers: 4 train_transform: - class_path: albumentations.HorizontalFlip init_args: diff --git a/tests/manufactured-finetune_prithvi_swin_L.yaml b/tests/manufactured-finetune_prithvi_swin_L.yaml index 1001c625..82cc506a 100644 --- a/tests/manufactured-finetune_prithvi_swin_L.yaml +++ b/tests/manufactured-finetune_prithvi_swin_L.yaml @@ -29,7 +29,7 @@ data: class_path: GenericNonGeoPixelwiseRegressionDataModule init_args: batch_size: 2 - num_workers: 8 + num_workers: 4 train_transform: - class_path: albumentations.HorizontalFlip init_args: diff --git a/tests/manufactured-finetune_prithvi_vit_100.yaml b/tests/manufactured-finetune_prithvi_vit_100.yaml index a61542b6..4fbfd410 100644 --- a/tests/manufactured-finetune_prithvi_vit_100.yaml +++ b/tests/manufactured-finetune_prithvi_vit_100.yaml @@ -29,7 +29,7 @@ data: class_path: GenericNonGeoPixelwiseRegressionDataModule init_args: batch_size: 2 - num_workers: 8 + num_workers: 4 train_transform: - class_path: albumentations.HorizontalFlip init_args: diff --git a/tests/manufactured-finetune_prithvi_vit_300.yaml b/tests/manufactured-finetune_prithvi_vit_300.yaml index f756d51f..aac4ae73 100644 --- a/tests/manufactured-finetune_prithvi_vit_300.yaml +++ b/tests/manufactured-finetune_prithvi_vit_300.yaml @@ -29,7 +29,7 @@ data: class_path: GenericNonGeoPixelwiseRegressionDataModule init_args: batch_size: 2 - num_workers: 8 + num_workers: 4 train_transform: - class_path: albumentations.HorizontalFlip init_args: From 52e15f86b78ecbf22da3ec56da5fb46b35601c3c Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Jo=C3=A3o=20Lucas=20de=20Sousa=20Almeida?= Date: Tue, 2 Jul 2024 11:49:14 -0300 Subject: [PATCH 11/12] Freeze encoder MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit Signed-off-by: João Lucas de Sousa Almeida --- tests/manufactured-finetune_prithvi_swin_B.yaml | 2 +- tests/manufactured-finetune_prithvi_swin_L.yaml | 2 +- tests/manufactured-finetune_prithvi_vit_100.yaml | 2 +- tests/manufactured-finetune_prithvi_vit_300.yaml | 2 +- 4 files changed, 4 insertions(+), 4 deletions(-) diff --git a/tests/manufactured-finetune_prithvi_swin_B.yaml b/tests/manufactured-finetune_prithvi_swin_B.yaml index 73bea24c..b7498d1b 100644 --- a/tests/manufactured-finetune_prithvi_swin_B.yaml +++ b/tests/manufactured-finetune_prithvi_swin_B.yaml @@ -127,7 +127,7 @@ model: #aux_loss: # aux_head: 0.4 ignore_index: -1 - freeze_backbone: false + freeze_backbone: true freeze_decoder: false model_factory: PrithviModelFactory diff --git a/tests/manufactured-finetune_prithvi_swin_L.yaml b/tests/manufactured-finetune_prithvi_swin_L.yaml index 82cc506a..8619ffbf 100644 --- a/tests/manufactured-finetune_prithvi_swin_L.yaml +++ b/tests/manufactured-finetune_prithvi_swin_L.yaml @@ -127,7 +127,7 @@ model: #aux_loss: # aux_head: 0.4 ignore_index: -1 - freeze_backbone: false + freeze_backbone: true freeze_decoder: false model_factory: PrithviModelFactory diff --git a/tests/manufactured-finetune_prithvi_vit_100.yaml b/tests/manufactured-finetune_prithvi_vit_100.yaml index 4fbfd410..8ee70a9c 100644 --- a/tests/manufactured-finetune_prithvi_vit_100.yaml +++ b/tests/manufactured-finetune_prithvi_vit_100.yaml @@ -128,7 +128,7 @@ model: #aux_loss: # aux_head: 0.4 ignore_index: -1 - freeze_backbone: false + freeze_backbone: true freeze_decoder: false model_factory: PrithviModelFactory diff --git a/tests/manufactured-finetune_prithvi_vit_300.yaml b/tests/manufactured-finetune_prithvi_vit_300.yaml index aac4ae73..1994f0d1 100644 --- a/tests/manufactured-finetune_prithvi_vit_300.yaml +++ b/tests/manufactured-finetune_prithvi_vit_300.yaml @@ -128,7 +128,7 @@ model: #aux_loss: # aux_head: 0.4 ignore_index: -1 - freeze_backbone: false + freeze_backbone: true freeze_decoder: false model_factory: PrithviModelFactory From 8b9111c7b22803f06f67c40c3f43c8cfe8bc76ff Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Jo=C3=A3o=20Lucas=20de=20Sousa=20Almeida?= Date: Wed, 3 Jul 2024 09:59:09 -0300 Subject: [PATCH 12/12] The backbone instantiation can be simplified with timm MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit Signed-off-by: João Lucas de Sousa Almeida --- tests/test_finetune.py | 20 +++----------------- 1 file changed, 3 insertions(+), 17 deletions(-) diff --git a/tests/test_finetune.py b/tests/test_finetune.py index d0d67848..4812d5f3 100644 --- a/tests/test_finetune.py +++ b/tests/test_finetune.py @@ -12,27 +12,13 @@ @pytest.mark.parametrize("model_name", ["prithvi_swin_B", "prithvi_swin_L", "prithvi_vit_100", "prithvi_vit_300"]) def test_finetune_multiple_backbones(model_name): - # Instantiating and creating a manufactured - # checkpoint just to test the finetuning pipeline - if "vit" in model_name : - module_str = "terratorch.models.backbones.prithvi_vit" - ckpt_filter = checkpoint_filter_fn_vit - elif "swin" in model_name: - module_str = "terratorch.models.backbones.prithvi_swin" - ckpt_filter = checkpoint_filter_fn_swin - - module_instance = importlib.import_module(module_str) - - model_template = getattr(module_instance, model_name) - - model_instance = model_template() - + model_instance = timm.create_model(model_name) pretrained_bands = [0, 1, 2, 3, 4, 5] model_bands = [0, 1, 2, 3, 4, 5] - filtered_state_dict = ckpt_filter(model_instance.state_dict(), model_instance, pretrained_bands, model_bands) + state_dict = model_instance.state_dict() - torch.save(filtered_state_dict, os.path.join("tests/", model_name + ".pt")) + torch.save(state_dict, os.path.join("tests/", model_name + ".pt")) # Running the terratorch CLI command_str = f"terratorch fit -c tests/manufactured-finetune_{model_name}.yaml"

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