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SECURITY.md
to the network can execute arbitrary code with the privileges of the user running the `tf.train.Server`. ## Untrusted inputs during training and prediction TensorFlow supports a wide range of input data formats. For example it can process images, audio, videos, and text. There are several modules specialized in taking those formats, modifying them, and/or converting them to intermediate
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.github/workflows/sigbuild-docker.yml
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tensorflow/c/eager/gradient_checker.cc
namespace tensorflow { namespace gradients { using namespace std; // ================== Helper functions ================= // Fills data with values [start,end) with given step size. void Range(vector<int32_t>* data, int32_t start, int32_t end, int32_t step = 1) { for (int32_t i = start; i < end; i += step) { (*data)[i] = i; } } // Fills out_dims with the dimensions of the given tensor.
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