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ci/official/requirements_updater/numpy1_requirements/requirements.in
# Requirements for NumPy 1.x numpy ~= 1.26.0 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 # Note that here we want the latest version that matches TF major.minor version
Registered: Tue Nov 05 12:39:12 UTC 2024 - Last Modified: Fri Oct 11 22:42:53 UTC 2024 - 874 bytes - Viewed (0) -
ci/official/wheel.sh
export TFCI_BUILD_PIP_PACKAGE_ARGS="$(echo $TFCI_BUILD_PIP_PACKAGE_ARGS | sed 's/tensorflow/tf_nightly/')" fi # TODO(b/361369076) Remove the following block after TF NumPy 1 is dropped # Move hermetic requirement lock files for NumPy 1 to the root if [[ "$TFCI_WHL_NUMPY_VERSION" == 1 ]]; then cp ./ci/official/requirements_updater/numpy1_requirements/*.txt . fi
Registered: Tue Nov 05 12:39:12 UTC 2024 - Last Modified: Mon Oct 14 23:45:36 UTC 2024 - 2.2K bytes - Viewed (0) -
ci/official/pycpp.sh
PROFILE_JSON_PATH="$PROFILE_JSON_PATH/profile.json.gz" else PROFILE_JSON_PATH="$TFCI_OUTPUT_DIR/profile.json.gz" fi # TODO(b/361369076) Remove the following block after TF NumPy 1 is dropped # Move hermetic requirement lock files for NumPy 1 to the root if [[ "$TFCI_WHL_NUMPY_VERSION" == 1 ]]; then cp ./ci/official/requirements_updater/numpy1_requirements/*.txt . fi if [[ $TFCI_PYCPP_SWAP_TO_BUILD_ENABLE == 1 ]]; then
Registered: Tue Nov 05 12:39:12 UTC 2024 - Last Modified: Wed Oct 23 18:48:35 UTC 2024 - 1.9K bytes - Viewed (0) -
.github/workflows/pylint-presubmit.yml
with: python-version: "3.9" - name: Install Python dependencies run: | python -m pip install --upgrade pip pip install pylint==2.13.9 numpy wheel - name: Run PyLint on changed files run: |
Registered: Tue Nov 05 12:39:12 UTC 2024 - Last Modified: Fri Nov 01 08:40:10 UTC 2024 - 1.7K bytes - Viewed (0) -
tensorflow/c/eager/immediate_execution_tensor_handle.cc
} std::string value_string; if (!SummarizeValue(value_string).ok()) { value_string = "<error computing value>"; } if (value_string.length() > 100) { // The default NumPy-style output can be distractingly long in error // messages. value_string = absl::StrCat(value_string.substr(0, 100), " [...]"); } absl::Status s; const char* device_name = DeviceName(&s); if (!s.ok()) {
Registered: Tue Nov 05 12:39:12 UTC 2024 - Last Modified: Sat Oct 12 05:24:07 UTC 2024 - 2.1K bytes - Viewed (0) -
RELEASE.md
Registered: Tue Nov 05 12:39:12 UTC 2024 - Last Modified: Tue Oct 22 14:33:53 UTC 2024 - 735.3K bytes - Viewed (0) -
ci/official/requirements_updater/numpy1_requirements/requirements_lock_3_10.txt
namex==0.0.8 \ --hash=sha256:32a50f6c565c0bb10aa76298c959507abdc0e850efe085dc38f3440fcb3aa90b \ --hash=sha256:7ddb6c2bb0e753a311b7590f84f6da659dd0c05e65cb89d519d54c0a250c0487 # via keras-nightly numpy==1.26.4 \ --hash=sha256:03a8c78d01d9781b28a6989f6fa1bb2c4f2d51201cf99d3dd875df6fbd96b23b \ --hash=sha256:08beddf13648eb95f8d867350f6a018a4be2e5ad54c8d8caed89ebca558b2818 \
Registered: Tue Nov 05 12:39:12 UTC 2024 - Last Modified: Mon Oct 28 14:33:43 UTC 2024 - 47.2K bytes - Viewed (0) -
ci/official/requirements_updater/numpy1_requirements/requirements_lock_3_12.txt
namex==0.0.8 \ --hash=sha256:32a50f6c565c0bb10aa76298c959507abdc0e850efe085dc38f3440fcb3aa90b \ --hash=sha256:7ddb6c2bb0e753a311b7590f84f6da659dd0c05e65cb89d519d54c0a250c0487 # via keras-nightly numpy==1.26.4 \ --hash=sha256:03a8c78d01d9781b28a6989f6fa1bb2c4f2d51201cf99d3dd875df6fbd96b23b \ --hash=sha256:08beddf13648eb95f8d867350f6a018a4be2e5ad54c8d8caed89ebca558b2818 \
Registered: Tue Nov 05 12:39:12 UTC 2024 - Last Modified: Mon Oct 28 14:33:43 UTC 2024 - 47.2K bytes - Viewed (0) -
requirements_lock_3_12.txt
namex==0.0.8 \ --hash=sha256:32a50f6c565c0bb10aa76298c959507abdc0e850efe085dc38f3440fcb3aa90b \ --hash=sha256:7ddb6c2bb0e753a311b7590f84f6da659dd0c05e65cb89d519d54c0a250c0487 # via keras-nightly numpy==2.1.1 \ --hash=sha256:046356b19d7ad1890c751b99acad5e82dc4a02232013bd9a9a712fddf8eb60f5 \ --hash=sha256:0b8cc2715a84b7c3b161f9ebbd942740aaed913584cae9cdc7f8ad5ad41943d0 \
Registered: Tue Nov 05 12:39:12 UTC 2024 - Last Modified: Sat Oct 26 00:18:03 UTC 2024 - 48.6K bytes - Viewed (0) -
tensorflow/c/eager/parallel_device/parallel_device.cc
// explicitly by running a TPUReplicatedOutput operation on the parallel device. // // TODO(allenl): There are some use-cases that are only supported by copying to // host at the moment (e.g. debug print on a tensor, .numpy(), etc.). We either // need to return something here or address these use-cases one by one. TFE_TensorHandle* CopyTensorFromParallelDevice(TFE_Context* context,
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