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[TSL] Bump ml_dtypes. Add float8_e4m3, float8_e3m4
ml_dtypes Updates: Add float8_e4m3 and float8_e3m4 types support Fix float divmod with zero denominator Add int2 and uint2 types ml_dtypes/commits Related PRs ml_dtypes PR Add float8_e4m3 jax-ml/ml_dtypes#161 Add float8_e4m3 (Merged) XLA PR Add support for float8_e4m3 #16585 (In Review) This closes openxla/xla#17075 PiperOrigin-RevId: 674396944
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third_party/py/ml_dtypes/ml_dtypes.BUILD

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@@ -38,7 +38,7 @@ pybind_extension(
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"_src/common.h",
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"_src/custom_float.h",
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"_src/dtypes.cc",
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"_src/int4_numpy.h",
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"_src/intn_numpy.h",
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"_src/numpy.cc",
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"_src/numpy.h",
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"_src/ufuncs.h",

third_party/py/ml_dtypes/workspace.bzl

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@@ -7,8 +7,8 @@ float8 varieties, and int4.
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load("//third_party:repo.bzl", "tf_http_archive", "tf_mirror_urls")
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def repo():
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ML_DTYPES_COMMIT = "24084d9ed2c3d45bf83b7a9bff833aa185bf9172"
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ML_DTYPES_SHA256 = "c916a3e6b3d9bdcb476f506fdbbecb6d5e9f21f82f221dfcb42b320b4e85e55a"
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ML_DTYPES_COMMIT = "6f02f77c4fa624d8b467c36d1d959a9b49b07900"
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ML_DTYPES_SHA256 = "c5b421a3b8549c020582b9be5e9edf8bb6e9d4284cbd44b0babe6640b4af18da"
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tf_http_archive(
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name = "ml_dtypes",
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build_file = "//third_party/py/ml_dtypes:ml_dtypes.BUILD",

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