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Results 11 - 15 of 15 for GraphDef (0.07 sec)

  1. tensorflow/c/c_api_internal.h

        TF_LOCKS_EXCLUDED(session->graph->mu, session->mu);
    
    std::string getTF_OutputDebugString(TF_Output node);
    
    // Set whether to propagate assigned device information when constructing a new
    // Graph from a GraphDef. By default assigned device information is not copied
    // and is re-computed by the runtime.
    inline void TF_ImportGraphDefOptionsSetPropagateDeviceSpec(
        TF_ImportGraphDefOptions* opts, unsigned char propagate_device_spec) {
    Registered: Tue Nov 05 12:39:12 UTC 2024
    - Last Modified: Sat May 13 00:49:12 UTC 2023
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  2. tensorflow/c/c_api.h

                                      TF_Status* status);
    
    // Has the same behavior as TF_GraphImportGraphDefWithResults, but instead of
    // taking in a serialized tensorflow::GraphDef, it takes in a *pointer* to the
    // C++ *in memory representation* of the GraphDef, stored in `graph_def->data`
    TF_CAPI_EXPORT extern TF_ImportGraphDefResults*
    TF_GraphImportGraphDefWithResultsNoSerialization(
        TF_Graph* graph, const TF_Buffer* graph_def,
    Registered: Tue Nov 05 12:39:12 UTC 2024
    - Last Modified: Thu Oct 26 21:08:15 UTC 2023
    - 82.3K bytes
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  3. tensorflow/c/eager/c_api_unified_experimental_test.cc

      TF_DeleteExecutionContext(graph_ctx);
    }
    
    // The above tests are run for a combination of:
    // - graphdef and MLIR tracing engine
    INSTANTIATE_TEST_SUITE_P(Tracing, UnifiedCAPI,
                             ::testing::Combine(::testing::Values("graphdef",
                                                                  "mlir"),
                                                ::testing::Values(false)));
    
    Registered: Tue Nov 05 12:39:12 UTC 2024
    - Last Modified: Sat Oct 12 05:11:17 UTC 2024
    - 39.1K bytes
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  4. SECURITY.md

    should be used with caution when working with untrusted models.
    
    ### Saved graphs and checkpoints
    
    When loading untrusted serialized computation graphs (in form of a `GraphDef`,
    `SavedModel`, or equivalent on-disk format), the set of computation primitives
    available to TensorFlow is powerful enough that you should assume that the
    TensorFlow process effectively executes arbitrary code.
    
    Registered: Tue Nov 05 12:39:12 UTC 2024
    - Last Modified: Wed Oct 16 16:10:43 UTC 2024
    - 9.6K bytes
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  5. RELEASE.md

    *   The Python API will now properly set the `list` member of `AttrValue` in
        constructed `GraphDef` messages for empty lists. The serialization of some
        graphs will change, but the change is both forwards and backwards
        compatible. It will break tests that compare a generated `GraphDef` to a
        golden serialized `GraphDef` (which is discouraged).
    
    ## Thanks to our Contributors
    
    Registered: Tue Nov 05 12:39:12 UTC 2024
    - Last Modified: Tue Oct 22 14:33:53 UTC 2024
    - 735.3K bytes
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