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ci/official/requirements_updater/BUILD.bazel
) compile_pip_requirements_3_9( name = "requirements_3_9_release", 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",
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RELEASE.md
`tf.divide()` is now the recommended division function. `tf.div()` will remain, but its semantics do not respond to Python 3 or `from future` mechanisms. * tf.reverse() now takes indices of axes to be reversed. E.g. `tf.reverse(a, [True, False, True])` must now be written as `tf.reverse(a, [0, 2])`. `tf.reverse_v2()` will remain until 1.0 final. * `tf.mul`, `tf.sub` and `tf.neg` are deprecated in favor of `tf.multiply`, `tf.subtract` and `tf.negative`. *
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tensorflow/c/c_api.cc
tensorflow::shape_inference::InferenceContext* ic, int num_dims, const int64_t* dims) { if (num_dims != -1) { std::vector<tensorflow::shape_inference::DimensionHandle> dim_vec; dim_vec.reserve(num_dims); for (int i = 0; i < num_dims; ++i) { dim_vec.push_back(ic->MakeDim(dims[i])); } return ic->MakeShape(dim_vec); } else { return ic->UnknownShape(); } }
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tensorflow/c/eager/c_api_unified_experimental_graph.cc
}; // GraphOperation wraps and populates a TF_OperationDescription. class GraphOperation : public TracingOperation { public: explicit GraphOperation(TF_Graph* g) : TracingOperation(kGraph), g_(g) {} void Release() override { delete this; } Status Reset(const char* op, const char* raw_device_name) override { if (op_) { return errors::FailedPrecondition("Reset called on already built op."); }
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tensorflow/c/eager/c_api.cc
status->status = new_op->Reset(op_or_function_name, nullptr); if (!status->status.ok()) { new_op->Release(); new_op = nullptr; } return tensorflow::wrap(new_op); } void TFE_DeleteOp(TFE_Op* op) { if (op == nullptr) { return; } tensorflow::unwrap(op)->Release(); } const char* TFE_OpGetName(const TFE_Op* op, TF_Status* status) {
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CONTRIBUTING.md
and [tensorflow/python](https://github.com/tensorflow/tensorflow/tree/master/tensorflow/python). TensorFlow has passed version 1.0 and hence cannot make non-backward-compatible API changes without a major release. Reviewers of your pull request will comment on any API compatibility issues [following API review practices](https://github.com/tensorflow/community/blob/master/governance/api-reviews.md).
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tensorflow/c/eager/c_api_experimental.cc
int* num_handles, TF_Status* status) { std::vector<tensorflow::TensorHandle*> tensor_handles; tensor_handles.reserve(*num_handles); for (int i = 0; i < *num_handles; ++i) { tensorflow::ImmediateExecutionTensorHandle* unwrapped_handle = tensorflow::unwrap(handles[i]);
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tensorflow/c/eager/tape.h
} // Stop the tape from recording pop_backward_tape.release()(); std::vector<int64_t> targets; std::vector<Gradient*> used_in_grads; // We may end up with slightly fewer elements than we reserve, but grad.size() // should be a reasonably tight upper bound. targets.reserve(grad.size()); used_in_grads.reserve(grad.size()); std::unordered_map<int64_t, TapeTensor> sources_that_are_targets;
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.bazelrc
test:release_macos_base --build_tests_only --keep_going test:release_macos_base --flaky_test_attempts=3 # Test configs for macOS x86 test:release_macos_x86 --config=release_macos_base # Test configs for macOS Arm64 test:release_macos_arm64 --config=release_macos_base # Ensure release_base is set on windows build:release_cpu_windows --config=release_base # TODO(kanglan): Update windows configs after b/289091160 is fixed
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ci/official/envs/linux_x86_tpu
# limitations under the License. # ============================================================================== source ci/official/envs/linux_x86 TFCI_BAZEL_COMMON_ARGS="--repo_env=TF_PYTHON_VERSION=$TFCI_PYTHON_VERSION --config release_cpu_linux --config=tpu" TFCI_BAZEL_TARGET_SELECTING_CONFIG_PREFIX=linux_tpu TFCI_BUILD_PIP_PACKAGE_ARGS="--repo_env=WHEEL_NAME=tensorflow_tpu" TFCI_LIB_SUFFIX="-tpu-linux-x86_64" TFCI_WHL_BAZEL_TEST_ENABLE=0
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