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ci/official/utilities/get_versions.sh
# by whitespace. The flag "-F<x>" changes the behavior such that fields are now strings # separated by the character <x>. Therefore, -F\' (escaped single quote) means that field # $2 in <Tensor'flow'> is <flow>. This is useful for reading string literals like below. export TF_VER_SUFFIX=$(awk -F\" '/#define TF_VERSION_SUFFIX/ {print $2}' tensorflow/core/public/version.h)
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tensorflow/c/experimental/gradients/nn_grad_test.cc
immediate_execution_ctx_.reset(ctx_raw); } // Computing numerical gradients with TensorFloat-32 is numerically // unstable. Some forward pass tests also fail with TensorFloat-32 due to // low tolerances enable_tensor_float_32_execution(false); } AbstractContextPtr immediate_execution_ctx_; GradientRegistry registry_; Status status_; public:
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tensorflow/c/eager/c_api_unified_experimental.h
typedef struct TF_AbstractOp TF_AbstractOp; // Stores a function representation that can be used for execution or for // setting functional attributes of other composite ops e.g. control flow. typedef struct TF_AbstractFunction TF_AbstractFunction; // This allows the client to swap the implementation of the tracing engine. // Any future call to TF_CreateFunction will use the implementation defined // here.
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tensorflow/c/experimental/gradients/array_grad_test.cc
immediate_execution_ctx_.reset(ctx_raw); } // Computing numerical gradients with TensorFloat-32 is numerically // unstable. Some forward pass tests also fail with TensorFloat-32 due to // low tolerances enable_tensor_float_32_execution(false); } AbstractContextPtr immediate_execution_ctx_; GradientRegistry registry_; Status status_; public:
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tensorflow/c/eager/gradient_checker_test.cc
ctx_.reset(ctx_raw); } // Computing numerical gradients with TensorFloat-32 is numerically // unstable. Some forward pass tests also fail with TensorFloat-32 due to // low tolerances enable_tensor_float_32_execution(false); } AbstractContextPtr ctx_; public: bool UseMlir() const { return strcmp(std::get<0>(GetParam()), "mlir") == 0; }
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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
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