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32
Makefile
32
Makefile
@@ -1,3 +1,17 @@
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# Copyright 2024 The HuggingFace Inc. team. All rights reserved.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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.PHONY: tests
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PYTHON_PATH := $(shell which python)
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@@ -33,6 +47,7 @@ test-act-ete-train:
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--policy.dim_model=64 \
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--policy.n_action_steps=20 \
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--policy.chunk_size=20 \
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--policy.device=$(DEVICE) \
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--env.type=aloha \
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--env.episode_length=5 \
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--dataset.repo_id=lerobot/aloha_sim_transfer_cube_human \
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@@ -47,7 +62,6 @@ test-act-ete-train:
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--save_checkpoint=true \
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--log_freq=1 \
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--wandb.enable=false \
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--device=$(DEVICE) \
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--output_dir=tests/outputs/act/
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test-act-ete-train-resume:
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@@ -58,11 +72,11 @@ test-act-ete-train-resume:
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test-act-ete-eval:
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python lerobot/scripts/eval.py \
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--policy.path=tests/outputs/act/checkpoints/000004/pretrained_model \
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--policy.device=$(DEVICE) \
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--env.type=aloha \
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--env.episode_length=5 \
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--eval.n_episodes=1 \
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--eval.batch_size=1 \
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--device=$(DEVICE)
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--eval.batch_size=1
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test-diffusion-ete-train:
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python lerobot/scripts/train.py \
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@@ -70,6 +84,7 @@ test-diffusion-ete-train:
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--policy.down_dims='[64,128,256]' \
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--policy.diffusion_step_embed_dim=32 \
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--policy.num_inference_steps=10 \
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--policy.device=$(DEVICE) \
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--env.type=pusht \
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--env.episode_length=5 \
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--dataset.repo_id=lerobot/pusht \
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@@ -84,21 +99,21 @@ test-diffusion-ete-train:
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--save_freq=2 \
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--log_freq=1 \
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--wandb.enable=false \
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--device=$(DEVICE) \
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--output_dir=tests/outputs/diffusion/
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test-diffusion-ete-eval:
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python lerobot/scripts/eval.py \
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--policy.path=tests/outputs/diffusion/checkpoints/000002/pretrained_model \
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--policy.device=$(DEVICE) \
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--env.type=pusht \
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--env.episode_length=5 \
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--eval.n_episodes=1 \
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--eval.batch_size=1 \
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--device=$(DEVICE)
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--eval.batch_size=1
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test-tdmpc-ete-train:
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python lerobot/scripts/train.py \
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--policy.type=tdmpc \
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--policy.device=$(DEVICE) \
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--env.type=xarm \
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--env.task=XarmLift-v0 \
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--env.episode_length=5 \
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@@ -114,15 +129,14 @@ test-tdmpc-ete-train:
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--save_freq=2 \
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--log_freq=1 \
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--wandb.enable=false \
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--device=$(DEVICE) \
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--output_dir=tests/outputs/tdmpc/
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test-tdmpc-ete-eval:
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python lerobot/scripts/eval.py \
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--policy.path=tests/outputs/tdmpc/checkpoints/000002/pretrained_model \
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--policy.device=$(DEVICE) \
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--env.type=xarm \
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--env.episode_length=5 \
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--env.task=XarmLift-v0 \
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--eval.n_episodes=1 \
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--eval.batch_size=1 \
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--device=$(DEVICE)
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--eval.batch_size=1
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