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SECURITY.md
functions](https://www.tensorflow.org/guide/create_op#define_the_op_interface) are skipped, and any checks implemented inside the shape inference code are not executed. The security impact of skipping those checks should be low, since the attack scenario would require a malicious user to be able to control the model which as stated above is already equivalent to code execution. In any case, the recommendation is not to serve models using Eager mode since it also has
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tensorflow/c/eager/unified_api_testutil.cc
if (use_function) { const char* fn_name = "test_fn"; core::RefCountPtr<AbstractFunction> scoped_func; // Returning null tensors from a tf.function is not supported, so we keep // track of indices in the model's outputs are nullptr in this set. // The FunctionDef only outputs the non-null tensors. We later pad the // function op outputs to have nullptrs at the `null_indices`.
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tensorflow/c/eager/c_api.cc
TFE_DeleteTensorHandle(outputs[i]); } } return status.status; } tensorflow::Status Pack(absl::Span<ImmediateExecutionTensorHandle*> handles, ImmediateExecutionTensorHandle** result) override { TF_Status status; *result = tensorflow::unwrap(device_.pack(context_, tensorflow::wrap(handles.data()),
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tensorflow/c/eager/c_api_experimental.cc
// One of the inputs we're trying to pack is on a custom device. We'll let // the first custom device we see handle all of the packing. auto* custom_device_handle = tensorflow::down_cast<tensorflow::CustomDeviceTensorHandle*>( unwrapped_handle); tensorflow::ImmediateExecutionTensorHandle* result; status->status = custom_device_handle->device()->Pack(
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ci/official/utilities/repack_libtensorflow.sh
TensorFlower Gardener <******@****.***> 1689191273 -0700
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tensorflow/BUILD
"@onednn//:__subpackages__", "@org_sqlite//:__subpackages__", "@platforms//:__subpackages__", "@snappy//:__subpackages__", "@upb//:__subpackages__", "@zlib//:__subpackages__", "@dlpack//:__subpackages__", "@arm_neon_2_x86_sse//:__subpackages__", "@cpuinfo//:__subpackages__", "@ruy//:__subpackages__", "@XNNPACK//:__subpackages__", "@pthreadpool//:__subpackages__",
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RELEASE.md
`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`. * `tf.pack` and `tf.unpack` are deprecated in favor of `tf.stack` and `tf.unstack`. * `TensorArray.pack` and `TensorArray.unpack` are getting deprecated in favor of `TensorArray.stack` and `TensorArray.unstack`. * The following Python functions have had their arguments changed to use `axis` when
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tensorflow/c/experimental/filesystem/filesystem_interface.h
/// pointers that operate on the corresponding data. Thus, the first argument of /// each of these functions is a pointer to the paired struct and this argument /// can be used to track state in between calls (from an object oriented point /// of view, this can be viewed as a "vtable" for a "class" -- that is the /// corresponding struct above --; the first argument is in place of `this`). ///
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.github/workflows/trusted_partners.js
}; /** For trusted parters like Intel, we want to auto-run tests This allows us to reduce the delay to external partners Add Labels - kokoro:force-run The PR is also assigned to specific teams to fast track review Additional reviewers can be added manually based on PR contents @param {!object} github enables querying for PR and also create issue using rest endpoint context has the commit message details in the payload
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tensorflow/c/c_api_experimental.cc
if (!status->status.ok()) return; // Initialize a input_tensor vector with `nullptr` values. std::vector<const Tensor*> input_tensors_vector(num_inputs, nullptr); // A vector to keep track of newly created `tf::Tensor` objects. std::vector<Tensor> all_input_tensors; // Update the vector with information from `input_tensors` if provided. if (input_tensors != nullptr) {
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