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ci/official/requirements_updater/requirements.in
# TODO(b/304751256): Adjust the numpy pin to a single version, when ready numpy ~= 1.23.5 ; python_version <= "3.11" numpy ~= 1.26.0 ; python_version >= "3.12" wheel ~= 0.41.2 h5py >= 3.10.0 lit ~= 17.0.2 opt_einsum == 3.3.0 astunparse == 1.6.3 dill == 0.3.7 astor == 0.7.1 typing_extensions == 4.8.0 gast == 0.4.0 termcolor == 2.3.0 wrapt == 1.16.0 tblib == 2.0.0 ml_dtypes >= 0.4.0, < 0.5.0 # Install tensorboard, and keras
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed Jun 12 19:00:33 UTC 2024 - 834 bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/ir/tf_generated_ops.td
is raised. @compatibility(numpy) Similar to [`numpy.einsum`](https://docs.scipy.org/doc/numpy/reference/generated/numpy.einsum.html). Comparison with `numpy.einsum`: * This Op only supports unary and binary forms of `numpy.einsum`. * This Op does not support implicit form. (i.e. equations without `->`).
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue Jun 11 23:24:08 UTC 2024 - 793K bytes - Viewed (0) -
requirements_lock_3_12.txt
namex==0.0.8 \ --hash=sha256:32a50f6c565c0bb10aa76298c959507abdc0e850efe085dc38f3440fcb3aa90b \ --hash=sha256:7ddb6c2bb0e753a311b7590f84f6da659dd0c05e65cb89d519d54c0a250c0487 # via keras-nightly numpy==1.26.4 ; python_version >= "3.12" \ --hash=sha256:03a8c78d01d9781b28a6989f6fa1bb2c4f2d51201cf99d3dd875df6fbd96b23b \ --hash=sha256:08beddf13648eb95f8d867350f6a018a4be2e5ad54c8d8caed89ebca558b2818 \
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed Jun 12 19:00:33 UTC 2024 - 43.2K bytes - Viewed (0) -
requirements_lock_3_10.txt
namex==0.0.8 \ --hash=sha256:32a50f6c565c0bb10aa76298c959507abdc0e850efe085dc38f3440fcb3aa90b \ --hash=sha256:7ddb6c2bb0e753a311b7590f84f6da659dd0c05e65cb89d519d54c0a250c0487 # via keras-nightly numpy==1.23.5 ; python_version <= "3.11" \ --hash=sha256:01dd17cbb340bf0fc23981e52e1d18a9d4050792e8fb8363cecbf066a84b827d \ --hash=sha256:06005a2ef6014e9956c09ba07654f9837d9e26696a0470e42beedadb78c11b07 \
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed Jun 12 19:00:33 UTC 2024 - 42.6K bytes - Viewed (0) -
requirements_lock_3_9.txt
namex==0.0.8 \ --hash=sha256:32a50f6c565c0bb10aa76298c959507abdc0e850efe085dc38f3440fcb3aa90b \ --hash=sha256:7ddb6c2bb0e753a311b7590f84f6da659dd0c05e65cb89d519d54c0a250c0487 # via keras-nightly numpy==1.23.5 ; python_version <= "3.11" \ --hash=sha256:01dd17cbb340bf0fc23981e52e1d18a9d4050792e8fb8363cecbf066a84b827d \ --hash=sha256:06005a2ef6014e9956c09ba07654f9837d9e26696a0470e42beedadb78c11b07 \
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed Jun 12 19:00:33 UTC 2024 - 43K bytes - Viewed (0) -
requirements_lock_3_11.txt
namex==0.0.8 \ --hash=sha256:32a50f6c565c0bb10aa76298c959507abdc0e850efe085dc38f3440fcb3aa90b \ --hash=sha256:7ddb6c2bb0e753a311b7590f84f6da659dd0c05e65cb89d519d54c0a250c0487 # via keras-nightly numpy==1.23.5 ; python_version <= "3.11" \ --hash=sha256:01dd17cbb340bf0fc23981e52e1d18a9d4050792e8fb8363cecbf066a84b827d \ --hash=sha256:06005a2ef6014e9956c09ba07654f9837d9e26696a0470e42beedadb78c11b07 \
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed Jun 12 19:00:33 UTC 2024 - 42.6K bytes - Viewed (0) -
RELEASE.md
[`tf.experimental.numpy`](https://www.tensorflow.org/api_docs/python/tf/experimental/numpy), which is a NumPy-compatible API for writing TF programs. This module provides class `ndarray`, which mimics the `ndarray` class in NumPy, and wraps an immutable `tf.Tensor` under the hood. A subset of NumPy functions (e.g. `numpy.add`) are provided. Their inter-operation with TF facilities is
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue Jun 11 23:24:08 UTC 2024 - 730.3K bytes - Viewed (0) -
tensorflow/compiler/mlir/tf2xla/transforms/legalize_tf.cc
return rewriter.notifyMatchFailure(op, "requires ranked output shape"); } auto rank_diff = ranked_output_type.getRank() - input_type.getRank(); // The tf.BroadcastTo op performs "right-aligned" numpy-style // broadcasting. broadcast_dimensions = llvm::to_vector<4>( llvm::seq<int64_t>(rank_diff, ranked_output_type.getRank())); } rewriter.replaceOpWithNewOp<DynamicBroadcastInDimOp>(
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue Jun 11 20:00:43 UTC 2024 - 291.8K bytes - Viewed (1) -
docs/en/docs/release-notes.md
* ✨ Support Python internal description on Pydantic model's docstring. PR [#3032](https://github.com/tiangolo/fastapi/pull/3032) by [@Kludex](https://github.com/Kludex). * ✨ Update `ORJSONResponse` to support non `str` keys and serializing Numpy arrays. PR [#3892](https://github.com/tiangolo/fastapi/pull/3892) by [@baby5](https://github.com/baby5). ### Fixes
Registered: Mon Jun 17 08:32:26 UTC 2024 - Last Modified: Fri Jun 14 15:07:37 UTC 2024 - 395.4K bytes - Viewed (0) -
src/cmd/compile/internal/ssagen/ssa.go
p := s.Prog(op) p.To.Type = obj.TYPE_BRANCH s.Branches = append(s.Branches, Branch{P: p, B: target}) return p } // DebugFriendlySetPosFrom adjusts Pos.IsStmt subject to heuristics // that reduce "jumpy" line number churn when debugging. // Spill/fill/copy instructions from the register allocator, // phi functions, and instructions with a no-pos position // are examples of instructions that can cause churn.
Registered: Wed Jun 12 16:32:35 UTC 2024 - Last Modified: Mon Jun 10 19:44:43 UTC 2024 - 284.9K bytes - Viewed (0)