diff --git a/syntheticSuccess/c3/tabdiff/tabdiff-c3-20260420_051046/_tabdiff_gen.py b/syntheticSuccess/c3/tabdiff/tabdiff-c3-20260420_051046/_tabdiff_gen.py new file mode 100644 index 0000000000000000000000000000000000000000..eb6c6fb06a7fa15c7bf573d72e3f8fad721da4ef --- /dev/null +++ b/syntheticSuccess/c3/tabdiff/tabdiff-c3-20260420_051046/_tabdiff_gen.py @@ -0,0 +1,36 @@ + +import os, shutil, subprocess, sys +td = r"/workspace/TabDiff" +name = r"pipeline_ds" +src = r"/work/output-SpecializedModels/c3/tabdiff/tabdiff-c3-20260420_051046/tabular_bundle/pipeline_ds" +dst_data = os.path.join(td, "data", name) +dst_syn = os.path.join(td, "synthetic", name) +shutil.rmtree(dst_data, ignore_errors=True) +shutil.copytree(src, dst_data) +os.makedirs(dst_syn, exist_ok=True) +for fn in ("real.csv", "test.csv", "val.csv"): + shutil.copy(os.path.join(src, fn), os.path.join(dst_syn, fn)) +os.chdir(td) +os.environ["PYTHONPATH"] = td + os.pathsep + os.environ.get("PYTHONPATH", "") +subprocess.check_call([ + sys.executable, "-m", "tabdiff.main", + "--dataname", name, "--mode", "test", "--gpu", "0", + "--no_wandb", "--exp_name", r"adapter_learnable", + "--ckpt_path", r"/workspace/TabDiff/tabdiff/ckpt/pipeline_ds/adapter_learnable/model_500.pt", + "--num_samples_to_generate", str(int(2551)), +]) +# test() 写入 tabdiff/result////samples.csv +import glob as g +base = os.path.join(td, "tabdiff", "result", name, r"adapter_learnable") +best = None +best_t = -1.0 +for root, _, files in os.walk(base): + if "samples.csv" in files: + p = os.path.join(root, "samples.csv") + t = os.path.getmtime(p) + if t > best_t: + best_t = t + best = p +if not best: + raise SystemExit("tabdiff: no samples.csv under " + base) +shutil.copy(best, r"/work/output-SpecializedModels/c3/tabdiff/tabdiff-c3-20260420_051046/tabdiff-c3-2551-20260420_051812.csv") diff --git a/syntheticSuccess/c3/tabdiff/tabdiff-c3-20260420_051046/_tabdiff_train.py b/syntheticSuccess/c3/tabdiff/tabdiff-c3-20260420_051046/_tabdiff_train.py new file mode 100644 index 0000000000000000000000000000000000000000..e608fdea30b76ca5914ac6c5c47e2663f0a1cb19 --- /dev/null +++ b/syntheticSuccess/c3/tabdiff/tabdiff-c3-20260420_051046/_tabdiff_train.py @@ -0,0 +1,21 @@ + +import os, shutil, subprocess, sys +td = r"/workspace/TabDiff" +name = r"pipeline_ds" +src = r"/work/output-SpecializedModels/c3/tabdiff/tabdiff-c3-20260420_051046/tabular_bundle/pipeline_ds" +dst_data = os.path.join(td, "data", name) +dst_syn = os.path.join(td, "synthetic", name) +shutil.rmtree(dst_data, ignore_errors=True) +shutil.copytree(src, dst_data) +os.makedirs(dst_syn, exist_ok=True) +for fn in ("real.csv", "test.csv", "val.csv"): + shutil.copy(os.path.join(src, fn), os.path.join(dst_syn, fn)) +os.chdir(td) +os.environ["PYTHONPATH"] = td + os.pathsep + os.environ.get("PYTHONPATH", "") +os.environ["TABDIFF_SMOKE_STEPS"] = "500" +os.environ["TABDIFF_ADAPTER_TRAIN"] = "1" 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b/syntheticSuccess/c3/tabdiff/tabdiff-c3-20260420_051046/train_20260420_051046.log @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:e9b6610f8985a22cce7fb82ccdeabf406381e1b823a088057b5fa10886315b49 +size 293660 diff --git a/syntheticSuccess/c4/tabbyflow/tabbyflow-c4-20260420_054557/_tabbyflow_gen.py b/syntheticSuccess/c4/tabbyflow/tabbyflow-c4-20260420_054557/_tabbyflow_gen.py new file mode 100644 index 0000000000000000000000000000000000000000..ed42ae57309dd145cd095c310db8a94efb551cb0 --- /dev/null +++ b/syntheticSuccess/c4/tabbyflow/tabbyflow-c4-20260420_054557/_tabbyflow_gen.py @@ -0,0 +1,33 @@ + +import os, shutil, subprocess, sys +root = r"/workspace/ef-vfm" +name = r"pipeline_ds" +src = r"/work/output-SpecializedModels/c4/tabbyflow/tabbyflow-c4-20260420_054557/tabular_bundle/pipeline_ds" +dst_data = os.path.join(root, "data", name) +shutil.rmtree(dst_data, ignore_errors=True) +shutil.copytree(src, dst_data) +dst_syn = os.path.join(root, "synthetic", name) +os.makedirs(dst_syn, exist_ok=True) +for fn in ("real.csv", "test.csv", "val.csv"): + shutil.copy(os.path.join(src, fn), os.path.join(dst_syn, fn)) +os.chdir(root) +os.environ["PYTHONPATH"] = root + os.pathsep + os.environ.get("PYTHONPATH", "") +subprocess.check_call([ + sys.executable, "main.py", + "--dataname", name, "--mode", "test", "--gpu", "0", + "--no_wandb", "--exp_name", r"adapter_efvfm", + "--ckpt_path", r"/workspace/ef-vfm/ef_vfm/ckpt/pipeline_ds/adapter_efvfm/model_500.pt", + "--num_samples_to_generate", str(int(2557)), +]) +base = os.path.join(root, "ef_vfm", "result", name, r"adapter_efvfm") +best = None +best_t = -1.0 +for r, _, files in os.walk(base): + if "samples.csv" in files: + p = os.path.join(r, "samples.csv") + t = os.path.getmtime(p) + if t > best_t: + best_t, best = t, p +if not best: + raise SystemExit("tabbyflow: no samples.csv in " + base) +shutil.copy(best, r"/work/output-SpecializedModels/c4/tabbyflow/tabbyflow-c4-20260420_054557/tabbyflow-c4-2557-20260420_055317.csv") diff --git a/syntheticSuccess/c4/tabbyflow/tabbyflow-c4-20260420_054557/_tabbyflow_train.py b/syntheticSuccess/c4/tabbyflow/tabbyflow-c4-20260420_054557/_tabbyflow_train.py new file mode 100644 index 0000000000000000000000000000000000000000..cae6f749d159e2fdf1bb39b7bdbdebc456cb19fb --- /dev/null +++ b/syntheticSuccess/c4/tabbyflow/tabbyflow-c4-20260420_054557/_tabbyflow_train.py @@ -0,0 +1,22 @@ + +import os, shutil, subprocess, sys +root = r"/workspace/ef-vfm" +name = r"pipeline_ds" +src = r"/work/output-SpecializedModels/c4/tabbyflow/tabbyflow-c4-20260420_054557/tabular_bundle/pipeline_ds" +os.makedirs(os.path.join(root, "data", name), exist_ok=True) +dst_data = os.path.join(root, "data", name) +dst_syn = os.path.join(root, "synthetic", name) +shutil.rmtree(dst_data, ignore_errors=True) +shutil.copytree(src, dst_data) +os.makedirs(dst_syn, exist_ok=True) +for fn in ("real.csv", "test.csv", "val.csv"): + shutil.copy(os.path.join(src, fn), os.path.join(dst_syn, fn)) +os.chdir(root) +os.environ["PYTHONPATH"] = root + os.pathsep + os.environ.get("PYTHONPATH", "") +os.environ["EFVFM_SMOKE_STEPS"] = "500" +os.environ["EFVFM_ADAPTER_TRAIN"] = "1" +subprocess.check_call([ + sys.executable, "main.py", + "--dataname", name, "--mode", "train", "--gpu", "0", + "--no_wandb", "--exp_name", r"adapter_efvfm", +]) diff --git a/syntheticSuccess/c4/tabbyflow/tabbyflow-c4-20260420_054557/input_snapshot.json b/syntheticSuccess/c4/tabbyflow/tabbyflow-c4-20260420_054557/input_snapshot.json new file mode 100644 index 0000000000000000000000000000000000000000..9fa53f05d5ffbdfa9015fbbdae267c35704713d7 --- /dev/null +++ b/syntheticSuccess/c4/tabbyflow/tabbyflow-c4-20260420_054557/input_snapshot.json @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:1baaa7f7f9c555a1814f439461ad764851a9f76ad9d097a12ab1b195df7e9dca +size 1350 diff --git 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+1,36 @@ + +import os, shutil, subprocess, sys +td = r"/workspace/TabDiff" +name = r"pipeline_ds" +src = r"/work/output-SpecializedModels/c4/tabdiff/tabdiff-c4-20260420_053641/tabular_bundle/pipeline_ds" +dst_data = os.path.join(td, "data", name) +dst_syn = os.path.join(td, "synthetic", name) +shutil.rmtree(dst_data, ignore_errors=True) +shutil.copytree(src, dst_data) +os.makedirs(dst_syn, exist_ok=True) +for fn in ("real.csv", "test.csv", "val.csv"): + shutil.copy(os.path.join(src, fn), os.path.join(dst_syn, fn)) +os.chdir(td) +os.environ["PYTHONPATH"] = td + os.pathsep + os.environ.get("PYTHONPATH", "") +subprocess.check_call([ + sys.executable, "-m", "tabdiff.main", + "--dataname", name, "--mode", "test", "--gpu", "0", + "--no_wandb", "--exp_name", r"adapter_learnable", + "--ckpt_path", r"/workspace/TabDiff/tabdiff/ckpt/pipeline_ds/adapter_learnable/model_500.pt", + "--num_samples_to_generate", str(int(2557)), +]) +# test() 写入 tabdiff/result////samples.csv +import glob as g +base = os.path.join(td, "tabdiff", "result", name, r"adapter_learnable") +best = None +best_t = -1.0 +for root, _, files in os.walk(base): + if "samples.csv" in files: + p = os.path.join(root, "samples.csv") + t = os.path.getmtime(p) + if t > best_t: + best_t = t + best = p +if not best: + raise SystemExit("tabdiff: no samples.csv under " + base) +shutil.copy(best, r"/work/output-SpecializedModels/c4/tabdiff/tabdiff-c4-20260420_053641/tabdiff-c4-2557-20260420_054543.csv") diff --git a/syntheticSuccess/c4/tabdiff/tabdiff-c4-20260420_053641/_tabdiff_train.py b/syntheticSuccess/c4/tabdiff/tabdiff-c4-20260420_053641/_tabdiff_train.py new file mode 100644 index 0000000000000000000000000000000000000000..39aa30ad3fb385711aa8ecf2277974721642196d --- /dev/null +++ b/syntheticSuccess/c4/tabdiff/tabdiff-c4-20260420_053641/_tabdiff_train.py @@ -0,0 +1,21 @@ + +import os, shutil, subprocess, sys +td = r"/workspace/TabDiff" +name = r"pipeline_ds" +src = r"/work/output-SpecializedModels/c4/tabdiff/tabdiff-c4-20260420_053641/tabular_bundle/pipeline_ds" +dst_data = os.path.join(td, "data", name) +dst_syn = os.path.join(td, "synthetic", name) +shutil.rmtree(dst_data, ignore_errors=True) +shutil.copytree(src, dst_data) +os.makedirs(dst_syn, exist_ok=True) +for fn in ("real.csv", "test.csv", "val.csv"): + shutil.copy(os.path.join(src, fn), os.path.join(dst_syn, fn)) +os.chdir(td) +os.environ["PYTHONPATH"] = td + os.pathsep + os.environ.get("PYTHONPATH", "") +os.environ["TABDIFF_SMOKE_STEPS"] = "500" +os.environ["TABDIFF_ADAPTER_TRAIN"] = "1" +subprocess.check_call([ + sys.executable, "-m", "tabdiff.main", + "--dataname", name, "--mode", "train", "--gpu", "0", + "--no_wandb", "--exp_name", r"adapter_learnable", +]) diff --git a/syntheticSuccess/c4/tabdiff/tabdiff-c4-20260420_053641/input_snapshot.json b/syntheticSuccess/c4/tabdiff/tabdiff-c4-20260420_053641/input_snapshot.json new file mode 100644 index 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0000000000000000000000000000000000000000..fea7e37c9c5342e5047b8a793581daa9348640fe --- /dev/null +++ b/syntheticSuccess/c5/tabbyflow/tabbyflow-c5-20260420_060659/_tabbyflow_gen.py @@ -0,0 +1,33 @@ + +import os, shutil, subprocess, sys +root = r"/workspace/ef-vfm" +name = r"pipeline_ds" +src = r"/work/output-SpecializedModels/c5/tabbyflow/tabbyflow-c5-20260420_060659/tabular_bundle/pipeline_ds" +dst_data = os.path.join(root, "data", name) +shutil.rmtree(dst_data, ignore_errors=True) +shutil.copytree(src, dst_data) +dst_syn = os.path.join(root, "synthetic", name) +os.makedirs(dst_syn, exist_ok=True) +for fn in ("real.csv", "test.csv", "val.csv"): + shutil.copy(os.path.join(src, fn), os.path.join(dst_syn, fn)) +os.chdir(root) +os.environ["PYTHONPATH"] = root + os.pathsep + os.environ.get("PYTHONPATH", "") +subprocess.check_call([ + sys.executable, "main.py", + "--dataname", name, "--mode", "test", "--gpu", "0", + "--no_wandb", "--exp_name", r"adapter_efvfm", + "--ckpt_path", r"/workspace/ef-vfm/ef_vfm/ckpt/pipeline_ds/adapter_efvfm/model_500.pt", + "--num_samples_to_generate", str(int(6732)), +]) +base = os.path.join(root, "ef_vfm", "result", name, r"adapter_efvfm") +best = None +best_t = -1.0 +for r, _, files in os.walk(base): + if "samples.csv" in files: + p = os.path.join(r, "samples.csv") + t = os.path.getmtime(p) + if t > best_t: + best_t, best = t, p +if not best: + raise SystemExit("tabbyflow: no samples.csv in " + base) +shutil.copy(best, r"/work/output-SpecializedModels/c5/tabbyflow/tabbyflow-c5-20260420_060659/tabbyflow-c5-6732-20260420_061354.csv") diff --git a/syntheticSuccess/c5/tabbyflow/tabbyflow-c5-20260420_060659/_tabbyflow_train.py b/syntheticSuccess/c5/tabbyflow/tabbyflow-c5-20260420_060659/_tabbyflow_train.py new file mode 100644 index 0000000000000000000000000000000000000000..2f55232e96e11f3ce9807680f7cb6e5f4f498e5d --- /dev/null +++ b/syntheticSuccess/c5/tabbyflow/tabbyflow-c5-20260420_060659/_tabbyflow_train.py @@ -0,0 +1,22 @@ + +import os, shutil, subprocess, sys +root = r"/workspace/ef-vfm" +name = r"pipeline_ds" +src = r"/work/output-SpecializedModels/c5/tabbyflow/tabbyflow-c5-20260420_060659/tabular_bundle/pipeline_ds" +os.makedirs(os.path.join(root, "data", name), exist_ok=True) +dst_data = os.path.join(root, "data", name) +dst_syn = os.path.join(root, "synthetic", name) +shutil.rmtree(dst_data, ignore_errors=True) +shutil.copytree(src, dst_data) +os.makedirs(dst_syn, exist_ok=True) +for fn in ("real.csv", "test.csv", "val.csv"): + shutil.copy(os.path.join(src, fn), os.path.join(dst_syn, fn)) +os.chdir(root) +os.environ["PYTHONPATH"] = root + os.pathsep + os.environ.get("PYTHONPATH", "") +os.environ["EFVFM_SMOKE_STEPS"] = "500" +os.environ["EFVFM_ADAPTER_TRAIN"] = "1" +subprocess.check_call([ + sys.executable, "main.py", + "--dataname", name, "--mode", "train", "--gpu", "0", + "--no_wandb", "--exp_name", r"adapter_efvfm", +]) diff --git 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https://git-lfs.github.com/spec/v1 +oid sha256:3580b26b5ad937bbc0c20212b73241f6ff662e55d244763bf2a59e7836851bbe +size 356789 diff --git a/syntheticSuccess/c5/tabdiff/tabdiff-c5-20260420_055925/_tabdiff_gen.py b/syntheticSuccess/c5/tabdiff/tabdiff-c5-20260420_055925/_tabdiff_gen.py new file mode 100644 index 0000000000000000000000000000000000000000..d46c65f756f81dc8f4633c2855ef2b0a3a70caab --- /dev/null +++ b/syntheticSuccess/c5/tabdiff/tabdiff-c5-20260420_055925/_tabdiff_gen.py @@ -0,0 +1,36 @@ + +import os, shutil, subprocess, sys +td = r"/workspace/TabDiff" +name = r"pipeline_ds" +src = r"/work/output-SpecializedModels/c5/tabdiff/tabdiff-c5-20260420_055925/tabular_bundle/pipeline_ds" +dst_data = os.path.join(td, "data", name) +dst_syn = os.path.join(td, "synthetic", name) +shutil.rmtree(dst_data, ignore_errors=True) +shutil.copytree(src, dst_data) +os.makedirs(dst_syn, exist_ok=True) +for fn in ("real.csv", "test.csv", "val.csv"): + shutil.copy(os.path.join(src, fn), os.path.join(dst_syn, fn)) +os.chdir(td) +os.environ["PYTHONPATH"] = td + os.pathsep + os.environ.get("PYTHONPATH", "") +subprocess.check_call([ + sys.executable, "-m", "tabdiff.main", + "--dataname", name, "--mode", "test", "--gpu", "0", + "--no_wandb", "--exp_name", r"adapter_learnable", + "--ckpt_path", r"/workspace/TabDiff/tabdiff/ckpt/pipeline_ds/adapter_learnable/model_500.pt", + "--num_samples_to_generate", str(int(6732)), +]) +# test() 写入 tabdiff/result////samples.csv +import glob as g +base = os.path.join(td, "tabdiff", "result", name, r"adapter_learnable") +best = None +best_t = -1.0 +for root, _, files in os.walk(base): + if "samples.csv" in files: + p = os.path.join(root, "samples.csv") + t = os.path.getmtime(p) + if t > best_t: + best_t = t + best = p +if not best: + raise SystemExit("tabdiff: no samples.csv under " + base) +shutil.copy(best, r"/work/output-SpecializedModels/c5/tabdiff/tabdiff-c5-20260420_055925/tabdiff-c5-6732-20260420_060648.csv") diff --git a/syntheticSuccess/c5/tabdiff/tabdiff-c5-20260420_055925/_tabdiff_train.py b/syntheticSuccess/c5/tabdiff/tabdiff-c5-20260420_055925/_tabdiff_train.py new file mode 100644 index 0000000000000000000000000000000000000000..5ad094b099a852dc511cf98376c58ac32e8340f9 --- /dev/null +++ b/syntheticSuccess/c5/tabdiff/tabdiff-c5-20260420_055925/_tabdiff_train.py @@ -0,0 +1,21 @@ + +import os, shutil, subprocess, sys +td = r"/workspace/TabDiff" +name = r"pipeline_ds" +src = r"/work/output-SpecializedModels/c5/tabdiff/tabdiff-c5-20260420_055925/tabular_bundle/pipeline_ds" +dst_data = os.path.join(td, "data", name) +dst_syn = os.path.join(td, "synthetic", name) +shutil.rmtree(dst_data, ignore_errors=True) +shutil.copytree(src, dst_data) +os.makedirs(dst_syn, exist_ok=True) +for fn in ("real.csv", "test.csv", "val.csv"): + shutil.copy(os.path.join(src, fn), os.path.join(dst_syn, fn)) +os.chdir(td) +os.environ["PYTHONPATH"] = td + os.pathsep + os.environ.get("PYTHONPATH", "") +os.environ["TABDIFF_SMOKE_STEPS"] = "500" +os.environ["TABDIFF_ADAPTER_TRAIN"] = "1" +subprocess.check_call([ + sys.executable, "-m", "tabdiff.main", + "--dataname", name, "--mode", "train", "--gpu", "0", + "--no_wandb", "--exp_name", r"adapter_learnable", +]) diff --git a/syntheticSuccess/c5/tabdiff/tabdiff-c5-20260420_055925/input_snapshot.json b/syntheticSuccess/c5/tabdiff/tabdiff-c5-20260420_055925/input_snapshot.json new file mode 100644 index 0000000000000000000000000000000000000000..c380c873407ba5894e4a9d702ca862e198017c19 --- /dev/null +++ b/syntheticSuccess/c5/tabdiff/tabdiff-c5-20260420_055925/input_snapshot.json @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:bd9636cfcd1f978198a1fe48a6e3bf827037e4d30e83bbecdd576cb17c04be1a +size 1350 diff --git a/syntheticSuccess/c5/tabdiff/tabdiff-c5-20260420_055925/models_tabdiff/trained.pt b/syntheticSuccess/c5/tabdiff/tabdiff-c5-20260420_055925/models_tabdiff/trained.pt new file mode 100644 index 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