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Update TensorFlow ml_dtypes dependency to >= 0.3.1 < 0.5.0
PiperOrigin-RevId: 642337465
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@ -13,6 +13,7 @@ gast == 0.4.0
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termcolor == 2.3.0
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wrapt == 1.16.0
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tblib == 2.0.0
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ml_dtypes >= 0.4.0, < 0.5.0
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# Install tensorboard, and keras
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# Note that here we want the latest version that matches TF major.minor version
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@ -346,6 +346,7 @@ ml-dtypes==0.4.0 \
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--hash=sha256:ee9f91d4c4f9959a7e1051c141dc565f39e54435618152219769e24f5e9a4d06 \
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--hash=sha256:f1724ddcdf5edbaf615a62110af47407f1719b8d02e68ccee60683acb5f74da1
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# via
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# -r requirements.in
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# jax
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# keras-nightly
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namex==0.0.8 \
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@ -346,6 +346,7 @@ ml-dtypes==0.4.0 \
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--hash=sha256:ee9f91d4c4f9959a7e1051c141dc565f39e54435618152219769e24f5e9a4d06 \
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--hash=sha256:f1724ddcdf5edbaf615a62110af47407f1719b8d02e68ccee60683acb5f74da1
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# via
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# -r requirements.in
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# jax
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# keras-nightly
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namex==0.0.8 \
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@ -346,6 +346,7 @@ ml-dtypes==0.4.0 \
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--hash=sha256:ee9f91d4c4f9959a7e1051c141dc565f39e54435618152219769e24f5e9a4d06 \
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--hash=sha256:f1724ddcdf5edbaf615a62110af47407f1719b8d02e68ccee60683acb5f74da1
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# via
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# -r requirements.in
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# jax
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# keras-nightly
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namex==0.0.8 \
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@ -350,6 +350,7 @@ ml-dtypes==0.4.0 \
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--hash=sha256:ee9f91d4c4f9959a7e1051c141dc565f39e54435618152219769e24f5e9a4d06 \
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--hash=sha256:f1724ddcdf5edbaf615a62110af47407f1719b8d02e68ccee60683acb5f74da1
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# via
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# -r requirements.in
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# jax
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# keras-nightly
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namex==0.0.8 \
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@ -83,7 +83,7 @@ REQUIRED_PACKAGES = [
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'google_pasta >= 0.1.1',
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'h5py >= 3.10.0',
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'libclang >= 13.0.0',
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'ml_dtypes ~= 0.3.1',
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'ml_dtypes >= 0.3.1, < 0.5.0',
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# TODO(b/304751256): Adjust the numpy pin to a single version, when ready
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'numpy >= 1.23.5, < 2.0.0 ; python_version <= "3.11"',
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'numpy >= 1.26.0, < 2.0.0 ; python_version >= "3.12"',
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