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ci/official/requirements_updater/BUILD.bazel
extra_args = [ "--allow-unsafe", "-P keras-nightly", "-P tb-nightly", ], requirements_in = "requirements.in", requirements_txt = "requirements_lock_3_9.txt", ) compile_pip_requirements_3_10( name = "requirements_3_10_release", extra_args = [ "--allow-unsafe", "-P keras-nightly", "-P tb-nightly", ],
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RELEASE.md
* Keras 3.0 will be the default Keras version. You may need to update your script to use Keras 3.0. * Please refer to the new Keras documentation for Keras 3.0 (https://keras.io/keras_3). * To continue using Keras 2.0, do the following. * 1. Install tf-keras via pip install tf-keras~=2.16 1. To switch tf.keras to use Keras 2 (tf-keras), set the environment
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ci/official/requirements_updater/requirements.in
typing_extensions == 4.8.0 gast == 0.4.0 termcolor == 2.3.0 wrapt == 1.16.0 tblib == 2.0.0 # Install tensorboard, and keras # Note that here we want the latest version that matches TF major.minor version # Note that we must use nightly here as these are used in nightly jobs # For release jobs, we will pin these on the release branch keras-nightly ~= 3.0.0.dev tb-nightly ~= 2.17.0.a # Test dependencies grpcio >= 1.24.3, < 2.0 portpicker == 1.6.0
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requirements_lock_3_11.txt
# via # -r requirements.in # keras-nightly idna==3.7 \ --hash=sha256:028ff3aadf0609c1fd278d8ea3089299412a7a8b9bd005dd08b9f8285bcb5cfc \ --hash=sha256:82fee1fc78add43492d3a1898bfa6d8a904cc97d8427f683ed8e798d07761aa0 # via requests jax==0.4.7 \ --hash=sha256:5e7002d74db25f97c99b979d4ba1233b1ef26e1597e5fc468ad11d1c8a9dc4f8 # via -r requirements.in keras-nightly==3.0.4.dev2024021403 \
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ci/official/utilities/rename_and_verify_wheels.sh
"$python" -c 'import tensorflow as tf; t1=tf.constant([1,2,3,4]); t2=tf.constant([5,6,7,8]); print(tf.add(t1,t2).shape)' "$python" -c 'import sys; import tensorflow as tf; sys.exit(0 if "keras" in tf.keras.__name__ else 1)' fi # VERY basic check to ensure the [and-cuda] package variant is installable. # Checks TFCI_BAZEL_COMMON_ARGS for "gpu" or "cuda", implying that the test is
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ci/official/requirements_updater/release_updater.sh
# See the License for the specific language governing permissions and # limitations under the License. # ============================================================================== # script to run pip-compile for keras, tensorboard, estimator deps. # if there is a change in requirements.in then all lock files will be updated # accordingly. mv BUILD.bazel BUILD SUPPORTED_VERSIONS=("3_9" "3_10" "3_11" "3_12")
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tensorflow/BUILD
"//third_party/py/cloud_ml_autoflow/...", "//third_party/py/envlogger/...", "//third_party/py/gldm/...", "//third_party/py/guesslang/...", "//third_party/py/keras/...", "//third_party/py/tf_keras/...", "//third_party/yggdrasil_decision_forests/...", "//waymo/accelerator/...", "//waymo/ml/cn/...", "//waymo/ml/models/...", ], )
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tensorflow/c/eager/c_api_experimental.cc
// in an initialized context. for (auto d = devices.begin(); d != devices.end();) { if (absl::StrContains(d->get()->name(), "CPU:0")) { d = devices.erase(d); } else { ++d; } } status->status = tensorflow::unwrap(ctx)->AddDevices(std::move(devices)); } void TFE_InsertConfigKeyValue(TFE_Context* ctx, const char* key,
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tensorflow/c/experimental/filesystem/plugins/gcs/gcs_filesystem.cc
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tensorflow/c/eager/tape.h
it->second--; if (it->second != 0) { return; } tensor_usage_.erase(it); auto tensor_op_it = tensor_tape_.find(tensor_id); if (tensor_op_it == tensor_tape_.end()) { return; } const int64_t op_id = tensor_op_it->second; if (op_id == -1) { // Do not delete watched tensors. return; } tensor_tape_.erase(tensor_op_it); auto op_it = op_tape_.find(op_id);
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