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LTA_openwebtext_dualt/mini_owt_logdirichlet/.venv_qwen35_uv/lib/python3.12/site-packages/numpy/typing/tests/data/fail/array_like.pyi

@@ -0,0 +1,16 @@
+import numpy as np
+from numpy._typing import ArrayLike
+
+
+class A:
+    pass
+
+
+x1: ArrayLike = (i for i in range(10))  # E: Incompatible types in assignment
+x2: ArrayLike = A()  # E: Incompatible types in assignment
+x3: ArrayLike = {1: "foo", 2: "bar"}  # E: Incompatible types in assignment
+
+scalar = np.int64(1)
+scalar.__array__(dtype=np.float64)  # E: No overload variant
+array = np.array([1])
+array.__array__(dtype=np.float64)  # E: No overload variant

LTA_openwebtext_dualt/mini_owt_logdirichlet/.venv_qwen35_uv/lib/python3.12/site-packages/numpy/typing/tests/data/fail/arrayprint.pyi

@@ -0,0 +1,14 @@
+from collections.abc import Callable
+from typing import Any
+import numpy as np
+
+AR: np.ndarray
+func1: Callable[[Any], str]
+func2: Callable[[np.integer[Any]], str]
+
+np.array2string(AR, style=None)  # E: Unexpected keyword argument
+np.array2string(AR, legacy="1.14")  # E: incompatible type
+np.array2string(AR, sign="*")  # E: incompatible type
+np.array2string(AR, floatmode="default")  # E: incompatible type
+np.array2string(AR, formatter={"A": func1})  # E: incompatible type
+np.array2string(AR, formatter={"float": func2})  # E: Incompatible types

LTA_openwebtext_dualt/mini_owt_logdirichlet/.venv_qwen35_uv/lib/python3.12/site-packages/numpy/typing/tests/data/fail/char.pyi

@@ -0,0 +1,66 @@
+import numpy as np
+import numpy.typing as npt
+
+AR_U: npt.NDArray[np.str_]
+AR_S: npt.NDArray[np.bytes_]
+
+np.char.equal(AR_U, AR_S)  # E: incompatible type
+
+np.char.not_equal(AR_U, AR_S)  # E: incompatible type
+
+np.char.greater_equal(AR_U, AR_S)  # E: incompatible type
+
+np.char.less_equal(AR_U, AR_S)  # E: incompatible type
+
+np.char.greater(AR_U, AR_S)  # E: incompatible type
+
+np.char.less(AR_U, AR_S)  # E: incompatible type
+
+np.char.encode(AR_S)  # E: incompatible type
+np.char.decode(AR_U)  # E: incompatible type
+
+np.char.join(AR_U, b"_")  # E: incompatible type
+np.char.join(AR_S, "_")  # E: incompatible type
+
+np.char.ljust(AR_U, 5, fillchar=b"a")  # E: incompatible type
+np.char.ljust(AR_S, 5, fillchar="a")  # E: incompatible type
+np.char.rjust(AR_U, 5, fillchar=b"a")  # E: incompatible type
+np.char.rjust(AR_S, 5, fillchar="a")  # E: incompatible type
+
+np.char.lstrip(AR_U, chars=b"a")  # E: incompatible type
+np.char.lstrip(AR_S, chars="a")  # E: incompatible type
+np.char.strip(AR_U, chars=b"a")  # E: incompatible type
+np.char.strip(AR_S, chars="a")  # E: incompatible type
+np.char.rstrip(AR_U, chars=b"a")  # E: incompatible type
+np.char.rstrip(AR_S, chars="a")  # E: incompatible type
+
+np.char.partition(AR_U, b"a")  # E: incompatible type
+np.char.partition(AR_S, "a")  # E: incompatible type
+np.char.rpartition(AR_U, b"a")  # E: incompatible type
+np.char.rpartition(AR_S, "a")  # E: incompatible type
+
+np.char.replace(AR_U, b"_", b"-")  # E: incompatible type
+np.char.replace(AR_S, "_", "-")  # E: incompatible type
+
+np.char.split(AR_U, b"_")  # E: incompatible type
+np.char.split(AR_S, "_")  # E: incompatible type
+np.char.rsplit(AR_U, b"_")  # E: incompatible type
+np.char.rsplit(AR_S, "_")  # E: incompatible type
+
+np.char.count(AR_U, b"a", start=[1, 2, 3])  # E: incompatible type
+np.char.count(AR_S, "a", end=9)  # E: incompatible type
+
+np.char.endswith(AR_U, b"a", start=[1, 2, 3])  # E: incompatible type
+np.char.endswith(AR_S, "a", end=9)  # E: incompatible type
+np.char.startswith(AR_U, b"a", start=[1, 2, 3])  # E: incompatible type
+np.char.startswith(AR_S, "a", end=9)  # E: incompatible type
+
+np.char.find(AR_U, b"a", start=[1, 2, 3])  # E: incompatible type
+np.char.find(AR_S, "a", end=9)  # E: incompatible type
+np.char.rfind(AR_U, b"a", start=[1, 2, 3])  # E: incompatible type
+np.char.rfind(AR_S, "a", end=9)  # E: incompatible type
+
+np.char.index(AR_U, b"a", start=[1, 2, 3])  # E: incompatible type
+np.char.index(AR_S, "a", end=9)  # E: incompatible type
+np.char.rindex(AR_U, b"a", start=[1, 2, 3])  # E: incompatible type
+np.char.rindex(AR_S, "a", end=9)  # E: incompatible type

LTA_openwebtext_dualt/mini_owt_logdirichlet/.venv_qwen35_uv/lib/python3.12/site-packages/numpy/typing/tests/data/fail/chararray.pyi

@@ -0,0 +1,62 @@
+import numpy as np
+from typing import Any
+
+AR_U: np.chararray[Any, np.dtype[np.str_]]
+AR_S: np.chararray[Any, np.dtype[np.bytes_]]
+
+AR_S.encode()  # E: Invalid self argument
+AR_U.decode()  # E: Invalid self argument
+
+AR_U.join(b"_")  # E: incompatible type
+AR_S.join("_")  # E: incompatible type
+
+AR_U.ljust(5, fillchar=b"a")  # E: incompatible type
+AR_S.ljust(5, fillchar="a")  # E: incompatible type
+AR_U.rjust(5, fillchar=b"a")  # E: incompatible type
+AR_S.rjust(5, fillchar="a")  # E: incompatible type
+
+AR_U.lstrip(chars=b"a")  # E: incompatible type
+AR_S.lstrip(chars="a")  # E: incompatible type
+AR_U.strip(chars=b"a")  # E: incompatible type
+AR_S.strip(chars="a")  # E: incompatible type
+AR_U.rstrip(chars=b"a")  # E: incompatible type
+AR_S.rstrip(chars="a")  # E: incompatible type
+
+AR_U.partition(b"a")  # E: incompatible type
+AR_S.partition("a")  # E: incompatible type
+AR_U.rpartition(b"a")  # E: incompatible type
+AR_S.rpartition("a")  # E: incompatible type
+
+AR_U.replace(b"_", b"-")  # E: incompatible type
+AR_S.replace("_", "-")  # E: incompatible type
+
+AR_U.split(b"_")  # E: incompatible type
+AR_S.split("_")  # E: incompatible type
+AR_S.split(1)  # E: incompatible type
+AR_U.rsplit(b"_")  # E: incompatible type
+AR_S.rsplit("_")  # E: incompatible type
+
+AR_U.count(b"a", start=[1, 2, 3])  # E: incompatible type
+AR_S.count("a", end=9)  # E: incompatible type
+
+AR_U.endswith(b"a", start=[1, 2, 3])  # E: incompatible type
+AR_S.endswith("a", end=9)  # E: incompatible type
+AR_U.startswith(b"a", start=[1, 2, 3])  # E: incompatible type
+AR_S.startswith("a", end=9)  # E: incompatible type
+
+AR_U.find(b"a", start=[1, 2, 3])  # E: incompatible type
+AR_S.find("a", end=9)  # E: incompatible type
+AR_U.rfind(b"a", start=[1, 2, 3])  # E: incompatible type
+AR_S.rfind("a", end=9)  # E: incompatible type
+
+AR_U.index(b"a", start=[1, 2, 3])  # E: incompatible type
+AR_S.index("a", end=9)  # E: incompatible type
+AR_U.rindex(b"a", start=[1, 2, 3])  # E: incompatible type
+AR_S.rindex("a", end=9)  # E: incompatible type
+
+AR_U == AR_S  # E: Unsupported operand types
+AR_U != AR_S  # E: Unsupported operand types
+AR_U >= AR_S  # E: Unsupported operand types
+AR_U <= AR_S  # E: Unsupported operand types
+AR_U > AR_S  # E: Unsupported operand types
+AR_U < AR_S  # E: Unsupported operand types

LTA_openwebtext_dualt/mini_owt_logdirichlet/.venv_qwen35_uv/lib/python3.12/site-packages/numpy/typing/tests/data/fail/constants.pyi

@@ -0,0 +1,7 @@
+import numpy as np
+
+np.Inf = np.Inf  # E: Cannot assign to final
+np.ALLOW_THREADS = np.ALLOW_THREADS  # E: Cannot assign to final
+np.little_endian = np.little_endian  # E: Cannot assign to final
+np.UFUNC_PYVALS_NAME = "bob"  # E: Incompatible types
+np.CLIP = 2  # E: Incompatible types

LTA_openwebtext_dualt/mini_owt_logdirichlet/.venv_qwen35_uv/lib/python3.12/site-packages/numpy/typing/tests/data/fail/flatiter.pyi

@@ -0,0 +1,25 @@
+from typing import Any
+
+import numpy as np
+from numpy._typing import _SupportsArray
+
+
+class Index:
+    def __index__(self) -> int:
+        ...
+
+
+a: "np.flatiter[np.ndarray]"
+supports_array: _SupportsArray
+
+a.base = Any  # E: Property "base" defined in "flatiter" is read-only
+a.coords = Any  # E: Property "coords" defined in "flatiter" is read-only
+a.index = Any  # E: Property "index" defined in "flatiter" is read-only
+a.copy(order='C')  # E: Unexpected keyword argument
+
+# NOTE: Contrary to `ndarray.__getitem__` its counterpart in `flatiter`
+# does not accept objects with the `__array__` or `__index__` protocols;
+# boolean indexing is just plain broken (gh-17175)
+a[np.bool_()]  # E: No overload variant of "__getitem__"
+a[Index()]  # E: No overload variant of "__getitem__"
+a[supports_array]  # E: No overload variant of "__getitem__"

LTA_openwebtext_dualt/mini_owt_logdirichlet/.venv_qwen35_uv/lib/python3.12/site-packages/numpy/typing/tests/data/fail/index_tricks.pyi

@@ -0,0 +1,14 @@
+import numpy as np
+
+AR_LIKE_i: list[int]
+AR_LIKE_f: list[float]
+
+np.ndindex([1, 2, 3])  # E: No overload variant
+np.unravel_index(AR_LIKE_f, (1, 2, 3))  # E: incompatible type
+np.ravel_multi_index(AR_LIKE_i, (1, 2, 3), mode="bob")  # E: No overload variant
+np.mgrid[1]  # E: Invalid index type
+np.mgrid[...]  # E: Invalid index type
+np.ogrid[1]  # E: Invalid index type
+np.ogrid[...]  # E: Invalid index type
+np.fill_diagonal(AR_LIKE_f, 2)  # E: incompatible type
+np.diag_indices(1.0)  # E: incompatible type

LTA_openwebtext_dualt/mini_owt_logdirichlet/.venv_qwen35_uv/lib/python3.12/site-packages/numpy/typing/tests/data/fail/lib_version.pyi

@@ -0,0 +1,6 @@
+from numpy.lib import NumpyVersion
+
+version: NumpyVersion
+
+NumpyVersion(b"1.8.0")  # E: incompatible type
+version >= b"1.8.0"  # E: Unsupported operand types

LTA_openwebtext_dualt/mini_owt_logdirichlet/.venv_qwen35_uv/lib/python3.12/site-packages/numpy/typing/tests/data/fail/multiarray.pyi

@@ -0,0 +1,55 @@
+import numpy as np
+import numpy.typing as npt
+
+i8: np.int64
+
+AR_b: npt.NDArray[np.bool_]
+AR_u1: npt.NDArray[np.uint8]
+AR_i8: npt.NDArray[np.int64]
+AR_f8: npt.NDArray[np.float64]
+AR_M: npt.NDArray[np.datetime64]
+
+M: np.datetime64
+
+AR_LIKE_f: list[float]
+
+def func(a: int) -> None: ...
+
+np.where(AR_b, 1)  # E: No overload variant
+
+np.can_cast(AR_f8, 1)  # E: incompatible type
+
+np.vdot(AR_M, AR_M)  # E: incompatible type
+
+np.copyto(AR_LIKE_f, AR_f8)  # E: incompatible type
+
+np.putmask(AR_LIKE_f, [True, True, False], 1.5)  # E: incompatible type
+
+np.packbits(AR_f8)  # E: incompatible type
+np.packbits(AR_u1, bitorder=">")  # E: incompatible type
+
+np.unpackbits(AR_i8)  # E: incompatible type
+np.unpackbits(AR_u1, bitorder=">")  # E: incompatible type
+
+np.shares_memory(1, 1, max_work=i8)  # E: incompatible type
+np.may_share_memory(1, 1, max_work=i8)  # E: incompatible type
+
+np.arange(M)  # E: No overload variant
+np.arange(stop=10)  # E: No overload variant
+
+np.datetime_data(int)  # E: incompatible type
+
+np.busday_offset("2012", 10)  # E: No overload variant
+
+np.datetime_as_string("2012")  # E: No overload variant
+
+np.compare_chararrays("a", b"a", "==", False)  # E: No overload variant
+
+np.add_docstring(func, None)  # E: incompatible type
+
+np.nested_iters([AR_i8, AR_i8])  # E: Missing positional argument
+np.nested_iters([AR_i8, AR_i8], 0)  # E: incompatible type
+np.nested_iters([AR_i8, AR_i8], [0])  # E: incompatible type
+np.nested_iters([AR_i8, AR_i8], [[0], [1]], flags=["test"])  # E: incompatible type
+np.nested_iters([AR_i8, AR_i8], [[0], [1]], op_flags=[["test"]])  # E: incompatible type
+np.nested_iters([AR_i8, AR_i8], [[0], [1]], buffersize=1.0)  # E: incompatible type

LTA_openwebtext_dualt/mini_owt_logdirichlet/.venv_qwen35_uv/lib/python3.12/site-packages/numpy/typing/tests/data/fail/ndarray_misc.pyi

@@ -0,0 +1,43 @@
+"""
+Tests for miscellaneous (non-magic) ``np.ndarray``/``np.generic`` methods.
+
+More extensive tests are performed for the methods'
+function-based counterpart in `../from_numeric.py`.
+
+"""
+
+from typing import Any
+import numpy as np
+
+f8: np.float64
+AR_f8: np.ndarray[Any, np.dtype[np.float64]]
+AR_M: np.ndarray[Any, np.dtype[np.datetime64]]
+AR_b: np.ndarray[Any, np.dtype[np.bool_]]
+
+ctypes_obj = AR_f8.ctypes
+
+reveal_type(ctypes_obj.get_data())  # E: has no attribute
+reveal_type(ctypes_obj.get_shape())  # E: has no attribute
+reveal_type(ctypes_obj.get_strides())  # E: has no attribute
+reveal_type(ctypes_obj.get_as_parameter())  # E: has no attribute
+
+f8.argpartition(0)  # E: has no attribute
+f8.diagonal()  # E: has no attribute
+f8.dot(1)  # E: has no attribute
+f8.nonzero()  # E: has no attribute
+f8.partition(0)  # E: has no attribute
+f8.put(0, 2)  # E: has no attribute
+f8.setfield(2, np.float64)  # E: has no attribute
+f8.sort()  # E: has no attribute
+f8.trace()  # E: has no attribute
+
+AR_M.__int__()  # E: Invalid self argument
+AR_M.__float__()  # E: Invalid self argument
+AR_M.__complex__()  # E: Invalid self argument
+AR_b.__index__()  # E: Invalid self argument
+
+AR_f8[1.5]  # E: No overload variant
+AR_f8["field_a"]  # E: No overload variant
+AR_f8[["field_a", "field_b"]]  # E: Invalid index type
+
+AR_f8.__array_finalize__(object())  # E: incompatible type

LTA_openwebtext_dualt/mini_owt_logdirichlet/.venv_qwen35_uv/lib/python3.12/site-packages/numpy/typing/tests/data/fail/nested_sequence.pyi

@@ -0,0 +1,17 @@
+from collections.abc import Sequence
+from numpy._typing import _NestedSequence
+
+a: Sequence[float]
+b: list[complex]
+c: tuple[str, ...]
+d: int
+e: str
+
+def func(a: _NestedSequence[int]) -> None:
+    ...
+
+reveal_type(func(a))  # E: incompatible type
+reveal_type(func(b))  # E: incompatible type
+reveal_type(func(c))  # E: incompatible type
+reveal_type(func(d))  # E: incompatible type
+reveal_type(func(e))  # E: incompatible type

LTA_openwebtext_dualt/mini_owt_logdirichlet/.venv_qwen35_uv/lib/python3.12/site-packages/numpy/typing/tests/data/fail/rec.pyi

@@ -0,0 +1,17 @@
+import numpy as np
+import numpy.typing as npt
+
+AR_i8: npt.NDArray[np.int64]
+
+np.rec.fromarrays(1)  # E: No overload variant
+np.rec.fromarrays([1, 2, 3], dtype=[("f8", "f8")], formats=["f8", "f8"])  # E: No overload variant
+
+np.rec.fromrecords(AR_i8)  # E: incompatible type
+np.rec.fromrecords([(1.5,)], dtype=[("f8", "f8")], formats=["f8", "f8"])  # E: No overload variant
+
+np.rec.fromstring("string", dtype=[("f8", "f8")])  # E: No overload variant
+np.rec.fromstring(b"bytes")  # E: No overload variant
+np.rec.fromstring(b"(1.5,)", dtype=[("f8", "f8")], formats=["f8", "f8"])  # E: No overload variant
+
+with open("test", "r") as f:
+    np.rec.fromfile(f, dtype=[("f8", "f8")])  # E: No overload variant

LTA_openwebtext_dualt/mini_owt_logdirichlet/.venv_qwen35_uv/lib/python3.12/site-packages/numpy/typing/tests/data/fail/scalars.pyi

@@ -0,0 +1,92 @@
+import sys
+import numpy as np
+
+f2: np.float16
+f8: np.float64
+c8: np.complex64
+
+# Construction
+
+np.float32(3j)  # E: incompatible type
+
+# Technically the following examples are valid NumPy code. But they
+# are not considered a best practice, and people who wish to use the
+# stubs should instead do
+#
+# np.array([1.0, 0.0, 0.0], dtype=np.float32)
+# np.array([], dtype=np.complex64)
+#
+# See e.g. the discussion on the mailing list
+#
+# https://mail.python.org/pipermail/numpy-discussion/2020-April/080566.html
+#
+# and the issue
+#
+# https://github.com/numpy/numpy-stubs/issues/41
+#
+# for more context.
+np.float32([1.0, 0.0, 0.0])  # E: incompatible type
+np.complex64([])  # E: incompatible type
+
+np.complex64(1, 2)  # E: Too many arguments
+# TODO: protocols (can't check for non-existent protocols w/ __getattr__)
+
+np.datetime64(0)  # E: No overload variant
+
+class A:
+    def __float__(self):
+        return 1.0
+
+
+np.int8(A())  # E: incompatible type
+np.int16(A())  # E: incompatible type
+np.int32(A())  # E: incompatible type
+np.int64(A())  # E: incompatible type
+np.uint8(A())  # E: incompatible type
+np.uint16(A())  # E: incompatible type
+np.uint32(A())  # E: incompatible type
+np.uint64(A())  # E: incompatible type
+
+np.void("test")  # E: No overload variant
+np.void("test", dtype=None)  # E: No overload variant
+
+np.generic(1)  # E: Cannot instantiate abstract class
+np.number(1)  # E: Cannot instantiate abstract class
+np.integer(1)  # E: Cannot instantiate abstract class
+np.inexact(1)  # E: Cannot instantiate abstract class
+np.character("test")  # E: Cannot instantiate abstract class
+np.flexible(b"test")  # E: Cannot instantiate abstract class
+
+np.float64(value=0.0)  # E: Unexpected keyword argument
+np.int64(value=0)  # E: Unexpected keyword argument
+np.uint64(value=0)  # E: Unexpected keyword argument
+np.complex128(value=0.0j)  # E: Unexpected keyword argument
+np.str_(value='bob')  # E: No overload variant
+np.bytes_(value=b'test')  # E: No overload variant
+np.void(value=b'test')  # E: No overload variant
+np.bool_(value=True)  # E: Unexpected keyword argument
+np.datetime64(value="2019")  # E: No overload variant
+np.timedelta64(value=0)  # E: Unexpected keyword argument
+
+np.bytes_(b"hello", encoding='utf-8')  # E: No overload variant
+np.str_("hello", encoding='utf-8')  # E: No overload variant
+
+f8.item(1)  # E: incompatible type
+f8.item((0, 1))  # E: incompatible type
+f8.squeeze(axis=1)  # E: incompatible type
+f8.squeeze(axis=(0, 1))  # E: incompatible type
+f8.transpose(1)  # E: incompatible type
+
+def func(a: np.float32) -> None: ...
+
+func(f2)  # E: incompatible type
+func(f8)  # E: incompatible type
+
+round(c8)  # E: No overload variant
+
+c8.__getnewargs__()  # E: Invalid self argument
+f2.__getnewargs__()  # E: Invalid self argument
+f2.hex()  # E: Invalid self argument
+np.float16.fromhex("0x0.0p+0")  # E: Invalid self argument
+f2.__trunc__()  # E: Invalid self argument
+f2.__getformat__("float")  # E: Invalid self argument

LTA_openwebtext_dualt/mini_owt_logdirichlet/.venv_qwen35_uv/lib/python3.12/site-packages/numpy/typing/tests/data/fail/shape_base.pyi

@@ -0,0 +1,8 @@
+import numpy as np
+
+class DTypeLike:
+    dtype: np.dtype[np.int_]
+
+dtype_like: DTypeLike
+
+np.expand_dims(dtype_like, (5, 10))  # E: No overload variant

LTA_openwebtext_dualt/mini_owt_logdirichlet/.venv_qwen35_uv/lib/python3.12/site-packages/numpy/typing/tests/data/fail/twodim_base.pyi

@@ -0,0 +1,37 @@
+from typing import Any, TypeVar
+
+import numpy as np
+import numpy.typing as npt
+
+
+def func1(ar: npt.NDArray[Any], a: int) -> npt.NDArray[np.str_]:
+    pass
+
+
+def func2(ar: npt.NDArray[Any], a: float) -> float:
+    pass
+
+
+AR_b: npt.NDArray[np.bool_]
+AR_m: npt.NDArray[np.timedelta64]
+
+AR_LIKE_b: list[bool]
+
+np.eye(10, M=20.0)  # E: No overload variant
+np.eye(10, k=2.5, dtype=int)  # E: No overload variant
+
+np.diag(AR_b, k=0.5)  # E: No overload variant
+np.diagflat(AR_b, k=0.5)  # E: No overload variant
+
+np.tri(10, M=20.0)  # E: No overload variant
+np.tri(10, k=2.5, dtype=int)  # E: No overload variant
+
+np.tril(AR_b, k=0.5)  # E: No overload variant
+np.triu(AR_b, k=0.5)  # E: No overload variant
+
+np.vander(AR_m)  # E: incompatible type
+
+np.histogram2d(AR_m)  # E: No overload variant
+
+np.mask_indices(10, func1)  # E: incompatible type
+np.mask_indices(10, func2, 10.5)  # E: incompatible type

LTA_openwebtext_dualt/mini_owt_logdirichlet/logs/decode64_uniform_20260610/mn0p8.log

@@ -0,0 +1,13 @@
+checkpoint=runs/owt_t5_elftokenized_full_len1024_C1_to_1024_pow1_d768_l12_h12_gbs512_8gpu_50ep_lr3e4_elfopt_t5embed_unfixed_norm_stateprobadd_selfcond_ce_fast_trainlogit_mn0p8_s1p0_20260604_231446/step_144000.pt
+use_ema=0
+step=144000
+decode_steps=64
+n=64 chunk_n=8 gpu=0
+out_base=/e2e-data/evad-tech-vla/wanghan58/workspace/LTA_openwebtext_dualt/docs/lta_samples/metrics_20260610
+[2026-06-09T22:34:10+00:00] infer step=144000 decode=64 -> /e2e-data/evad-tech-vla/wanghan58/workspace/LTA_openwebtext_dualt/docs/lta_samples/metrics_20260610/owt_t5_elftokenized_full_pow1_unfixed_norm_stateprobadd_selfcond_ce_fast_lr3e4_trainlogit_mn0p8_s1p0_uniform_step144000_sc1p0_decode64_n64
+[2026-06-09T22:34:10+00:00] run decode=64 chunk=0 n=8 seed=123
+[2026-06-09T22:34:20+00:00] done decode=64 chunk=0
+[2026-06-09T22:34:20+00:00] run decode=64 chunk=1 n=8 seed=124
+[2026-06-09T22:34:30+00:00] done decode=64 chunk=1
+[2026-06-09T22:34:30+00:00] run decode=64 chunk=2 n=8 seed=125
+Terminated

LTA_openwebtext_dualt/mini_owt_logdirichlet/logs/infer_not5_bottleneck128_100k_decode64_ema_20260611/run.log

@@ -0,0 +1,122 @@
+[start] 2026-06-11T20:32:02+00:00
+===== infer lr1e3 step100000 ema decode64 =====
+checkpoint=runs/owt_t5_elftokenized_full_len1024_C1_to_1024_pow1_d768_l12_h12_gbs512_2x8gpu_50ep_lr1e3_ema0p9999_elfopt_not5_bottleneck128_unfixed_norm_stateprobadd_selfcond_ce_fast_20260609_155046/step_100000.pt
+use_ema=1
+step=100000
+decode_steps=64
+n=64 chunk_n=8 gpu=0
+out_base=/e2e-data/evad-tech-vla/wanghan58/workspace/LTA_openwebtext_dualt/docs/lta_samples/metrics_20260611
+[2026-06-11T20:32:02+00:00] infer step=100000 decode=64 -> /e2e-data/evad-tech-vla/wanghan58/workspace/LTA_openwebtext_dualt/docs/lta_samples/metrics_20260611/owt_t5_not5_bottleneck128_norm_stateprobadd_selfcond_ce_fast_lr1e3_ema0p9999_step100000_ema_sc1p0_decode64_n64
+[2026-06-11T20:32:02+00:00] run decode=64 chunk=0 n=8 seed=123
+[2026-06-11T20:32:12+00:00] done decode=64 chunk=0
+[2026-06-11T20:32:12+00:00] run decode=64 chunk=1 n=8 seed=124
+[2026-06-11T20:32:21+00:00] done decode=64 chunk=1
+[2026-06-11T20:32:21+00:00] run decode=64 chunk=2 n=8 seed=125
+[2026-06-11T20:32:30+00:00] done decode=64 chunk=2
+[2026-06-11T20:32:30+00:00] run decode=64 chunk=3 n=8 seed=126
+[2026-06-11T20:32:40+00:00] done decode=64 chunk=3
+[2026-06-11T20:32:40+00:00] run decode=64 chunk=4 n=8 seed=127
+[2026-06-11T20:32:49+00:00] done decode=64 chunk=4
+[2026-06-11T20:32:49+00:00] run decode=64 chunk=5 n=8 seed=128
+[2026-06-11T20:32:58+00:00] done decode=64 chunk=5
+[2026-06-11T20:32:58+00:00] run decode=64 chunk=6 n=8 seed=129
+[2026-06-11T20:33:07+00:00] done decode=64 chunk=6
+[2026-06-11T20:33:07+00:00] run decode=64 chunk=7 n=8 seed=130
+[2026-06-11T20:33:17+00:00] done decode=64 chunk=7
+merged 64 samples -> /e2e-data/evad-tech-vla/wanghan58/workspace/LTA_openwebtext_dualt/docs/lta_samples/metrics_20260611/owt_t5_not5_bottleneck128_norm_stateprobadd_selfcond_ce_fast_lr1e3_ema0p9999_step100000_ema_sc1p0_decode64_n64/sc1p0/samples64.txt
+loading scorer /e2e-data/evad-tech-vla/wanghan58/models/flowtext_scorers/gpt2-large-standard dtype=fp32 device=cuda
+run	kind	ppl	mean_entropy	distinct_1	distinct_2	top_token_mass	eos_rows	eos_total	ppl_tokens	t5_tokens	path
+sc1p0	raw_full	12.880030884869694	4.81179280730984	0.042402125450436694	0.30940129178055	0.028766872289745313	60	60	63882	65492	/e2e-data/evad-tech-vla/wanghan58/workspace/LTA_openwebtext_dualt/docs/lta_samples/metrics_20260611/owt_t5_not5_bottleneck128_norm_stateprobadd_selfcond_ce_fast_lr1e3_ema0p9999_step100000_ema_sc1p0_decode64_n64/sc1p0
+sc1p0	pre_eos	13.858185752202955	4.825600567199701	0.043443559367126246	0.3170521769069454	0.029484029484029485	0	0	60663	63899	/e2e-data/evad-tech-vla/wanghan58/workspace/LTA_openwebtext_dualt/docs/lta_samples/metrics_20260611/owt_t5_not5_bottleneck128_norm_stateprobadd_selfcond_ce_fast_lr1e3_ema0p9999_step100000_ema_sc1p0_decode64_n64/sc1p0
+[2026-06-11T20:33:34+00:00] done
+===== infer lr2e3 step100000 ema decode64 =====
+checkpoint=runs/owt_t5_elftokenized_full_len1024_C1_to_1024_pow1_d768_l12_h12_gbs512_2x8gpu_50ep_lr2e3_ema0p9999_elfopt_not5_bottleneck128_unfixed_norm_stateprobadd_selfcond_ce_fast_20260609_150828/step_100000.pt
+use_ema=1
+step=100000
+decode_steps=64
+n=64 chunk_n=8 gpu=0
+out_base=/e2e-data/evad-tech-vla/wanghan58/workspace/LTA_openwebtext_dualt/docs/lta_samples/metrics_20260611
+[2026-06-11T20:33:34+00:00] infer step=100000 decode=64 -> /e2e-data/evad-tech-vla/wanghan58/workspace/LTA_openwebtext_dualt/docs/lta_samples/metrics_20260611/owt_t5_not5_bottleneck128_norm_stateprobadd_selfcond_ce_fast_lr2e3_ema0p9999_step100000_ema_sc1p0_decode64_n64
+[2026-06-11T20:33:34+00:00] run decode=64 chunk=0 n=8 seed=123
+[2026-06-11T20:33:44+00:00] done decode=64 chunk=0
+[2026-06-11T20:33:44+00:00] run decode=64 chunk=1 n=8 seed=124
+[2026-06-11T20:33:53+00:00] done decode=64 chunk=1
+[2026-06-11T20:33:53+00:00] run decode=64 chunk=2 n=8 seed=125
+[2026-06-11T20:34:02+00:00] done decode=64 chunk=2
+[2026-06-11T20:34:02+00:00] run decode=64 chunk=3 n=8 seed=126
+[2026-06-11T20:34:12+00:00] done decode=64 chunk=3
+[2026-06-11T20:34:12+00:00] run decode=64 chunk=4 n=8 seed=127
+[2026-06-11T20:34:21+00:00] done decode=64 chunk=4
+[2026-06-11T20:34:21+00:00] run decode=64 chunk=5 n=8 seed=128
+[2026-06-11T20:34:30+00:00] done decode=64 chunk=5
+[2026-06-11T20:34:30+00:00] run decode=64 chunk=6 n=8 seed=129
+[2026-06-11T20:34:39+00:00] done decode=64 chunk=6
+[2026-06-11T20:34:39+00:00] run decode=64 chunk=7 n=8 seed=130
+[2026-06-11T20:34:49+00:00] done decode=64 chunk=7
+merged 64 samples -> /e2e-data/evad-tech-vla/wanghan58/workspace/LTA_openwebtext_dualt/docs/lta_samples/metrics_20260611/owt_t5_not5_bottleneck128_norm_stateprobadd_selfcond_ce_fast_lr2e3_ema0p9999_step100000_ema_sc1p0_decode64_n64/sc1p0/samples64.txt
+loading scorer /e2e-data/evad-tech-vla/wanghan58/models/flowtext_scorers/gpt2-large-standard dtype=fp32 device=cuda
+run	kind	ppl	mean_entropy	distinct_1	distinct_2	top_token_mass	eos_rows	eos_total	ppl_tokens	t5_tokens	path
+sc1p0	raw_full	15.020966667526707	4.930005594545835	0.05101884947911893	0.34946918200565186	0.029419851525982952	62	62	63244	65466	/e2e-data/evad-tech-vla/wanghan58/workspace/LTA_openwebtext_dualt/docs/lta_samples/metrics_20260611/owt_t5_not5_bottleneck128_norm_stateprobadd_selfcond_ce_fast_lr2e3_ema0p9999_step100000_ema_sc1p0_decode64_n64/sc1p0
+sc1p0	pre_eos	15.804223345637824	4.936913014643486	0.05194057711752353	0.35582726650488455	0.029960332892587694	0	0	60851	64285	/e2e-data/evad-tech-vla/wanghan58/workspace/LTA_openwebtext_dualt/docs/lta_samples/metrics_20260611/owt_t5_not5_bottleneck128_norm_stateprobadd_selfcond_ce_fast_lr2e3_ema0p9999_step100000_ema_sc1p0_decode64_n64/sc1p0
+[2026-06-11T20:35:02+00:00] done
+===== infer lr3e3 step100000 ema decode64 =====
+checkpoint=runs/owt_t5_elftokenized_full_len1024_C1_to_1024_pow1_d768_l12_h12_gbs512_2x8gpu_50ep_lr3e3_ema0p9999_elfopt_not5_bottleneck128_unfixed_norm_stateprobadd_selfcond_ce_fast_20260609_230847/step_100000.pt
+use_ema=1
+step=100000
+decode_steps=64
+n=64 chunk_n=8 gpu=0
+out_base=/e2e-data/evad-tech-vla/wanghan58/workspace/LTA_openwebtext_dualt/docs/lta_samples/metrics_20260611
+[2026-06-11T20:35:02+00:00] infer step=100000 decode=64 -> /e2e-data/evad-tech-vla/wanghan58/workspace/LTA_openwebtext_dualt/docs/lta_samples/metrics_20260611/owt_t5_not5_bottleneck128_norm_stateprobadd_selfcond_ce_fast_lr3e3_ema0p9999_step100000_ema_sc1p0_decode64_n64
+[2026-06-11T20:35:02+00:00] run decode=64 chunk=0 n=8 seed=123
+[2026-06-11T20:35:11+00:00] done decode=64 chunk=0
+[2026-06-11T20:35:11+00:00] run decode=64 chunk=1 n=8 seed=124
+[2026-06-11T20:35:21+00:00] done decode=64 chunk=1
+[2026-06-11T20:35:21+00:00] run decode=64 chunk=2 n=8 seed=125
+[2026-06-11T20:35:30+00:00] done decode=64 chunk=2
+[2026-06-11T20:35:30+00:00] run decode=64 chunk=3 n=8 seed=126
+[2026-06-11T20:35:39+00:00] done decode=64 chunk=3
+[2026-06-11T20:35:39+00:00] run decode=64 chunk=4 n=8 seed=127
+[2026-06-11T20:35:49+00:00] done decode=64 chunk=4
+[2026-06-11T20:35:49+00:00] run decode=64 chunk=5 n=8 seed=128
+[2026-06-11T20:35:58+00:00] done decode=64 chunk=5
+[2026-06-11T20:35:58+00:00] run decode=64 chunk=6 n=8 seed=129
+[2026-06-11T20:36:07+00:00] done decode=64 chunk=6
+[2026-06-11T20:36:07+00:00] run decode=64 chunk=7 n=8 seed=130
+[2026-06-11T20:36:17+00:00] done decode=64 chunk=7
+merged 64 samples -> /e2e-data/evad-tech-vla/wanghan58/workspace/LTA_openwebtext_dualt/docs/lta_samples/metrics_20260611/owt_t5_not5_bottleneck128_norm_stateprobadd_selfcond_ce_fast_lr3e3_ema0p9999_step100000_ema_sc1p0_decode64_n64/sc1p0/samples64.txt
+loading scorer /e2e-data/evad-tech-vla/wanghan58/models/flowtext_scorers/gpt2-large-standard dtype=fp32 device=cuda
+run	kind	ppl	mean_entropy	distinct_1	distinct_2	top_token_mass	eos_rows	eos_total	ppl_tokens	t5_tokens	path
+sc1p0	raw_full	14.451369954479457	4.9862577567571655	0.060422683720717005	0.3806503866255081	0.02987515090389523	63	63	62795	65439	/e2e-data/evad-tech-vla/wanghan58/workspace/LTA_openwebtext_dualt/docs/lta_samples/metrics_20260611/owt_t5_not5_bottleneck128_norm_stateprobadd_selfcond_ce_fast_lr3e3_ema0p9999_step100000_ema_sc1p0_decode64_n64/sc1p0
+sc1p0	pre_eos	15.518518583335487	5.002311000448212	0.06179072748303999	0.3893048629890735	0.030559289711445274	0	0	59837	63974	/e2e-data/evad-tech-vla/wanghan58/workspace/LTA_openwebtext_dualt/docs/lta_samples/metrics_20260611/owt_t5_not5_bottleneck128_norm_stateprobadd_selfcond_ce_fast_lr3e3_ema0p9999_step100000_ema_sc1p0_decode64_n64/sc1p0
+[2026-06-11T20:36:30+00:00] done
+===== infer lr4e3 step100000 ema decode64 =====
+checkpoint=runs/owt_t5_elftokenized_full_len1024_C1_to_1024_pow1_d768_l12_h12_gbs512_2x8gpu_50ep_lr4e3_ema0p9999_elfopt_not5_bottleneck128_unfixed_norm_stateprobadd_selfcond_ce_fast_20260610_020108/step_100000.pt
+use_ema=1
+step=100000
+decode_steps=64
+n=64 chunk_n=8 gpu=0
+out_base=/e2e-data/evad-tech-vla/wanghan58/workspace/LTA_openwebtext_dualt/docs/lta_samples/metrics_20260611
+[2026-06-11T20:36:30+00:00] infer step=100000 decode=64 -> /e2e-data/evad-tech-vla/wanghan58/workspace/LTA_openwebtext_dualt/docs/lta_samples/metrics_20260611/owt_t5_not5_bottleneck128_norm_stateprobadd_selfcond_ce_fast_lr4e3_ema0p9999_step100000_ema_sc1p0_decode64_n64
+[2026-06-11T20:36:30+00:00] run decode=64 chunk=0 n=8 seed=123
+[2026-06-11T20:36:40+00:00] done decode=64 chunk=0
+[2026-06-11T20:36:40+00:00] run decode=64 chunk=1 n=8 seed=124
+[2026-06-11T20:36:49+00:00] done decode=64 chunk=1
+[2026-06-11T20:36:49+00:00] run decode=64 chunk=2 n=8 seed=125
+[2026-06-11T20:36:58+00:00] done decode=64 chunk=2
+[2026-06-11T20:36:58+00:00] run decode=64 chunk=3 n=8 seed=126
+[2026-06-11T20:37:07+00:00] done decode=64 chunk=3
+[2026-06-11T20:37:07+00:00] run decode=64 chunk=4 n=8 seed=127
+[2026-06-11T20:37:17+00:00] done decode=64 chunk=4
+[2026-06-11T20:37:17+00:00] run decode=64 chunk=5 n=8 seed=128
+[2026-06-11T20:37:27+00:00] done decode=64 chunk=5
+[2026-06-11T20:37:27+00:00] run decode=64 chunk=6 n=8 seed=129
+[2026-06-11T20:37:36+00:00] done decode=64 chunk=6
+[2026-06-11T20:37:36+00:00] run decode=64 chunk=7 n=8 seed=130
+[2026-06-11T20:37:45+00:00] done decode=64 chunk=7
+merged 64 samples -> /e2e-data/evad-tech-vla/wanghan58/workspace/LTA_openwebtext_dualt/docs/lta_samples/metrics_20260611/owt_t5_not5_bottleneck128_norm_stateprobadd_selfcond_ce_fast_lr4e3_ema0p9999_step100000_ema_sc1p0_decode64_n64/sc1p0/samples64.txt
+loading scorer /e2e-data/evad-tech-vla/wanghan58/models/flowtext_scorers/gpt2-large-standard dtype=fp32 device=cuda
+run	kind	ppl	mean_entropy	distinct_1	distinct_2	top_token_mass	eos_rows	eos_total	ppl_tokens	t5_tokens	path
+sc1p0	raw_full	15.027804597572617	4.997110153704982	0.053348588863463005	0.3750934415475446	0.030022883295194508	62	62	63738	65550	/e2e-data/evad-tech-vla/wanghan58/workspace/LTA_openwebtext_dualt/docs/lta_samples/metrics_20260611/owt_t5_not5_bottleneck128_norm_stateprobadd_selfcond_ce_fast_lr4e3_ema0p9999_step100000_ema_sc1p0_decode64_n64/sc1p0
+sc1p0	pre_eos	16.51869751559537	5.017773161545052	0.05477992447390276	0.38520480115327965	0.0308372114887416	0	0	60243	63819	/e2e-data/evad-tech-vla/wanghan58/workspace/LTA_openwebtext_dualt/docs/lta_samples/metrics_20260611/owt_t5_not5_bottleneck128_norm_stateprobadd_selfcond_ce_fast_lr4e3_ema0p9999_step100000_ema_sc1p0_decode64_n64/sc1p0
+[2026-06-11T20:37:58+00:00] done
+[done] 2026-06-11T20:37:58+00:00

LTA_openwebtext_dualt/mini_owt_logdirichlet/logs/infer_not5_bottleneck128_170k_decode64_ema_20260611/lr2e3.log

@@ -0,0 +1,29 @@
+checkpoint=runs/owt_t5_elftokenized_full_len1024_C1_to_1024_pow1_d768_l12_h12_gbs512_2x8gpu_50ep_lr2e3_ema0p9999_elfopt_not5_bottleneck128_unfixed_norm_stateprobadd_selfcond_ce_fast_20260609_150828/step_170000.pt
+use_ema=1
+step=170000
+decode_steps=64
+n=64 chunk_n=8 gpu=1
+out_base=/e2e-data/evad-tech-vla/wanghan58/workspace/LTA_openwebtext_dualt/docs/lta_samples/metrics_20260611
+[2026-06-11T21:31:28+00:00] infer step=170000 decode=64 -> /e2e-data/evad-tech-vla/wanghan58/workspace/LTA_openwebtext_dualt/docs/lta_samples/metrics_20260611/owt_t5_not5_bottleneck128_norm_stateprobadd_selfcond_ce_fast_lr2e3_ema0p9999_step170000_ema_sc1p0_decode64_n64
+[2026-06-11T21:31:28+00:00] run decode=64 chunk=0 n=8 seed=123
+[2026-06-11T21:31:38+00:00] done decode=64 chunk=0
+[2026-06-11T21:31:38+00:00] run decode=64 chunk=1 n=8 seed=124
+[2026-06-11T21:31:48+00:00] done decode=64 chunk=1
+[2026-06-11T21:31:48+00:00] run decode=64 chunk=2 n=8 seed=125
+[2026-06-11T21:31:57+00:00] done decode=64 chunk=2
+[2026-06-11T21:31:57+00:00] run decode=64 chunk=3 n=8 seed=126
+[2026-06-11T21:32:07+00:00] done decode=64 chunk=3
+[2026-06-11T21:32:07+00:00] run decode=64 chunk=4 n=8 seed=127
+[2026-06-11T21:32:17+00:00] done decode=64 chunk=4
+[2026-06-11T21:32:17+00:00] run decode=64 chunk=5 n=8 seed=128
+[2026-06-11T21:32:27+00:00] done decode=64 chunk=5
+[2026-06-11T21:32:27+00:00] run decode=64 chunk=6 n=8 seed=129
+[2026-06-11T21:32:37+00:00] done decode=64 chunk=6
+[2026-06-11T21:32:37+00:00] run decode=64 chunk=7 n=8 seed=130
+[2026-06-11T21:32:47+00:00] done decode=64 chunk=7
+merged 64 samples -> /e2e-data/evad-tech-vla/wanghan58/workspace/LTA_openwebtext_dualt/docs/lta_samples/metrics_20260611/owt_t5_not5_bottleneck128_norm_stateprobadd_selfcond_ce_fast_lr2e3_ema0p9999_step170000_ema_sc1p0_decode64_n64/sc1p0/samples64.txt
+loading scorer /e2e-data/evad-tech-vla/wanghan58/models/flowtext_scorers/gpt2-large-standard dtype=fp32 device=cuda
+run	kind	ppl	mean_entropy	distinct_1	distinct_2	top_token_mass	eos_rows	eos_total	ppl_tokens	t5_tokens	path
+sc1p0	raw_full	16.107294914622123	5.011115492296599	0.06065968937845177	0.38954916469601036	0.029048301955878316	63	63	63278	65546	/e2e-data/evad-tech-vla/wanghan58/workspace/LTA_openwebtext_dualt/docs/lta_samples/metrics_20260611/owt_t5_not5_bottleneck128_norm_stateprobadd_selfcond_ce_fast_lr2e3_ema0p9999_step170000_ema_sc1p0_decode64_n64/sc1p0
+sc1p0	pre_eos	17.04763156690045	5.02145464509798	0.06182151855423186	0.3970480737826026	0.029612118572894957	0	0	60749	64298	/e2e-data/evad-tech-vla/wanghan58/workspace/LTA_openwebtext_dualt/docs/lta_samples/metrics_20260611/owt_t5_not5_bottleneck128_norm_stateprobadd_selfcond_ce_fast_lr2e3_ema0p9999_step170000_ema_sc1p0_decode64_n64/sc1p0
+[2026-06-11T21:33:18+00:00] done

LTA_openwebtext_dualt/mini_owt_logdirichlet/logs/infer_not5_bottleneck128_170k_decode64_ema_20260611/lr3e3.log

@@ -0,0 +1,29 @@
+checkpoint=runs/owt_t5_elftokenized_full_len1024_C1_to_1024_pow1_d768_l12_h12_gbs512_2x8gpu_50ep_lr3e3_ema0p9999_elfopt_not5_bottleneck128_unfixed_norm_stateprobadd_selfcond_ce_fast_20260609_230847/step_170000.pt
+use_ema=1
+step=170000
+decode_steps=64
+n=64 chunk_n=8 gpu=2
+out_base=/e2e-data/evad-tech-vla/wanghan58/workspace/LTA_openwebtext_dualt/docs/lta_samples/metrics_20260611
+[2026-06-11T21:31:28+00:00] infer step=170000 decode=64 -> /e2e-data/evad-tech-vla/wanghan58/workspace/LTA_openwebtext_dualt/docs/lta_samples/metrics_20260611/owt_t5_not5_bottleneck128_norm_stateprobadd_selfcond_ce_fast_lr3e3_ema0p9999_step170000_ema_sc1p0_decode64_n64
+[2026-06-11T21:31:28+00:00] run decode=64 chunk=0 n=8 seed=123
+[2026-06-11T21:31:38+00:00] done decode=64 chunk=0
+[2026-06-11T21:31:38+00:00] run decode=64 chunk=1 n=8 seed=124
+[2026-06-11T21:31:48+00:00] done decode=64 chunk=1
+[2026-06-11T21:31:48+00:00] run decode=64 chunk=2 n=8 seed=125
+[2026-06-11T21:31:57+00:00] done decode=64 chunk=2
+[2026-06-11T21:31:57+00:00] run decode=64 chunk=3 n=8 seed=126
+[2026-06-11T21:32:07+00:00] done decode=64 chunk=3
+[2026-06-11T21:32:07+00:00] run decode=64 chunk=4 n=8 seed=127
+[2026-06-11T21:32:17+00:00] done decode=64 chunk=4
+[2026-06-11T21:32:17+00:00] run decode=64 chunk=5 n=8 seed=128
+[2026-06-11T21:32:27+00:00] done decode=64 chunk=5
+[2026-06-11T21:32:27+00:00] run decode=64 chunk=6 n=8 seed=129
+[2026-06-11T21:32:37+00:00] done decode=64 chunk=6
+[2026-06-11T21:32:37+00:00] run decode=64 chunk=7 n=8 seed=130
+[2026-06-11T21:32:47+00:00] done decode=64 chunk=7
+merged 64 samples -> /e2e-data/evad-tech-vla/wanghan58/workspace/LTA_openwebtext_dualt/docs/lta_samples/metrics_20260611/owt_t5_not5_bottleneck128_norm_stateprobadd_selfcond_ce_fast_lr3e3_ema0p9999_step170000_ema_sc1p0_decode64_n64/sc1p0/samples64.txt
+loading scorer /e2e-data/evad-tech-vla/wanghan58/models/flowtext_scorers/gpt2-large-standard dtype=fp32 device=cuda
+run	kind	ppl	mean_entropy	distinct_1	distinct_2	top_token_mass	eos_rows	eos_total	ppl_tokens	t5_tokens	path
+sc1p0	raw_full	14.390963510069904	5.026241094135107	0.0661299685313617	0.3958692962221781	0.03244630472640616	64	64	62702	65462	/e2e-data/evad-tech-vla/wanghan58/workspace/LTA_openwebtext_dualt/docs/lta_samples/metrics_20260611/owt_t5_not5_bottleneck128_norm_stateprobadd_selfcond_ce_fast_lr3e3_ema0p9999_step170000_ema_sc1p0_decode64_n64/sc1p0
+sc1p0	pre_eos	15.472976560288648	5.043509630689692	0.06764719673642915	0.4049829628934946	0.03319839322277622	0	0	59711	63979	/e2e-data/evad-tech-vla/wanghan58/workspace/LTA_openwebtext_dualt/docs/lta_samples/metrics_20260611/owt_t5_not5_bottleneck128_norm_stateprobadd_selfcond_ce_fast_lr3e3_ema0p9999_step170000_ema_sc1p0_decode64_n64/sc1p0
+[2026-06-11T21:33:18+00:00] done

LTA_openwebtext_dualt/mini_owt_logdirichlet/logs/infer_not5_bottleneck128_170k_decode64_ema_20260611/lr4e3.log

@@ -0,0 +1,29 @@
+checkpoint=runs/owt_t5_elftokenized_full_len1024_C1_to_1024_pow1_d768_l12_h12_gbs512_2x8gpu_50ep_lr4e3_ema0p9999_elfopt_not5_bottleneck128_unfixed_norm_stateprobadd_selfcond_ce_fast_20260610_020108/step_170000.pt
+use_ema=1
+step=170000
+decode_steps=64
+n=64 chunk_n=8 gpu=3
+out_base=/e2e-data/evad-tech-vla/wanghan58/workspace/LTA_openwebtext_dualt/docs/lta_samples/metrics_20260611
+[2026-06-11T21:31:28+00:00] infer step=170000 decode=64 -> /e2e-data/evad-tech-vla/wanghan58/workspace/LTA_openwebtext_dualt/docs/lta_samples/metrics_20260611/owt_t5_not5_bottleneck128_norm_stateprobadd_selfcond_ce_fast_lr4e3_ema0p9999_step170000_ema_sc1p0_decode64_n64
+[2026-06-11T21:31:28+00:00] run decode=64 chunk=0 n=8 seed=123
+[2026-06-11T21:31:38+00:00] done decode=64 chunk=0
+[2026-06-11T21:31:38+00:00] run decode=64 chunk=1 n=8 seed=124
+[2026-06-11T21:31:48+00:00] done decode=64 chunk=1
+[2026-06-11T21:31:48+00:00] run decode=64 chunk=2 n=8 seed=125
+[2026-06-11T21:31:57+00:00] done decode=64 chunk=2
+[2026-06-11T21:31:57+00:00] run decode=64 chunk=3 n=8 seed=126
+[2026-06-11T21:32:07+00:00] done decode=64 chunk=3
+[2026-06-11T21:32:07+00:00] run decode=64 chunk=4 n=8 seed=127
+[2026-06-11T21:32:17+00:00] done decode=64 chunk=4
+[2026-06-11T21:32:17+00:00] run decode=64 chunk=5 n=8 seed=128
+[2026-06-11T21:32:27+00:00] done decode=64 chunk=5
+[2026-06-11T21:32:27+00:00] run decode=64 chunk=6 n=8 seed=129
+[2026-06-11T21:32:37+00:00] done decode=64 chunk=6
+[2026-06-11T21:32:37+00:00] run decode=64 chunk=7 n=8 seed=130
+[2026-06-11T21:32:47+00:00] done decode=64 chunk=7
+merged 64 samples -> /e2e-data/evad-tech-vla/wanghan58/workspace/LTA_openwebtext_dualt/docs/lta_samples/metrics_20260611/owt_t5_not5_bottleneck128_norm_stateprobadd_selfcond_ce_fast_lr4e3_ema0p9999_step170000_ema_sc1p0_decode64_n64/sc1p0/samples64.txt
+loading scorer /e2e-data/evad-tech-vla/wanghan58/models/flowtext_scorers/gpt2-large-standard dtype=fp32 device=cuda
+run	kind	ppl	mean_entropy	distinct_1	distinct_2	top_token_mass	eos_rows	eos_total	ppl_tokens	t5_tokens	path
+sc1p0	raw_full	14.597044361959108	5.002260665586616	0.06066111916940224	0.3883714538736373	0.02978853347583785	62	62	63394	65495	/e2e-data/evad-tech-vla/wanghan58/workspace/LTA_openwebtext_dualt/docs/lta_samples/metrics_20260611/owt_t5_not5_bottleneck128_norm_stateprobadd_selfcond_ce_fast_lr4e3_ema0p9999_step170000_ema_sc1p0_decode64_n64/sc1p0
+sc1p0	pre_eos	16.2067835260949	5.02648341843094	0.062407692549413946	0.39959148401288397	0.03065392954781133	0	0	59667	63646	/e2e-data/evad-tech-vla/wanghan58/workspace/LTA_openwebtext_dualt/docs/lta_samples/metrics_20260611/owt_t5_not5_bottleneck128_norm_stateprobadd_selfcond_ce_fast_lr4e3_ema0p9999_step170000_ema_sc1p0_decode64_n64/sc1p0
+[2026-06-11T21:33:18+00:00] done