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.github/ISSUE_TEMPLATE/tflite-other.md
- type: textarea id: code-to-reproduce attributes: label: Standalone code to reproduce the issue description: Provide a reproducible test case that is the bare minimum necessary to generate the problem. If possible, please share a link to Colab/Jupyter/any notebook. placeholder: Tell us what you see! value: render: shell validations: required: true - type: textarea id: logs attributes: label: Relevant log output description:
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tensorflow/c/c_api_internal.h
// TF_Graph may only / must be deleted when // sessions.size() == 0 && delete_requested == true // // TODO(b/74949947): mutations currently trigger a warning instead of a bad // status, this should be reverted when possible. tensorflow::gtl::FlatMap<TF_Session*, tensorflow::string> sessions TF_GUARDED_BY(mu); bool delete_requested TF_GUARDED_BY(mu); // set true by TF_DeleteGraph
C - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Sat May 13 00:49:12 GMT 2023 - 7.6K bytes - Viewed (0) -
tensorflow/c/experimental/filesystem/plugins/gcs/ram_file_block_cache.cc
} // Check for inconsistent state. If there is a block later in the same file // in the cache, and our current block is not block size, this likely means // we have inconsistent state within the cache. Note: it's possible some // incomplete reads may still go undetected. if (block->data.size() < block_size_) { Key fmax = std::make_pair(key.first, std::numeric_limits<size_t>::max()); auto fcmp = block_map_.upper_bound(fmax);
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.github/ISSUE_TEMPLATE/tflite-in-play-services.md
if possible): - TensorFlow Lite in Play Services SDK version (found in `build.gradle`): - Google Play Services version (`Settings` > `Apps` > `Google Play Services` > `App details`): **Standalone code to reproduce the issue** Provide a reproducible test case that is the bare minimum necessary to generate the problem. If possible, please share a link to or attach code demonstrating the problem.
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ci/official/containers/linux_arm64/builder.devtoolset/gcc9-fixups.patch
+/* Provide an empty definition when cdefs.h is not included. */ +# define __attribute_copy__(arg) +#endif + #ifndef __ASSEMBLER__ /* GCC understands weak symbols and aliases; use its interface where possible, instead of embedded assembly language. */ @@ -114,7 +119,8 @@ /* Define ALIASNAME as a strong alias for NAME. */ # define strong_alias(name, aliasname) _strong_alias(name, aliasname)
Others - Registered: Tue May 07 12:40:20 GMT 2024 - Last Modified: Mon Sep 18 14:52:45 GMT 2023 - 8.9K bytes - Viewed (0) -
.github/ISSUE_TEMPLATE/tflite-converter-issue.md
``` (You can paste links or attach files by dragging & dropping them below) - Provide links to your updated versions of the above two colab notebooks.
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tensorflow/c/experimental/grappler/grappler.h
// nodes. This may cause incorrectness in graph analyses, but is useful for // simulation or scheduling. // If aggressive_shape_inference is true, nodes are executed on the host to // identify output values when possible and does other aggressive strategies. // This may cause incorrectness in graph analyses, but is useful for simulation // or scheduling. // If include_input_tensor_values is true, the values of constant
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tensorflow/c/eager/c_api_experimental.h
// is a blocking operation for async eager; custom devices should avoid // retrieving shapes of tensors they wrap until the custom device tensor's // shape is explicitly requested where possible. int (*num_dims)(void* data, TF_Status* status); // Computes the axis length at `dim_index`. int64_t (*dim)(void* data, int dim_index, TF_Status* status); void (*deallocator)(void* data);
C - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Wed Feb 21 22:37:46 GMT 2024 - 39.5K bytes - Viewed (0) -
SECURITY.md
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 performance limitations. ## Multi-Tenant environments It is possible to run multiple TensorFlow models in parallel. For example, `ModelServer` collates all computation graphs exposed to it (from multiple `SavedModel`) and executes them in parallel on available executors. Running
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tensorflow/c/experimental/filesystem/modular_filesystem_registration.cc
Status RegisterFilesystemPluginImpl(const TF_FilesystemPluginInfo* info) { TF_RETURN_IF_ERROR(ValidatePluginMemoryRoutines(info)); // Validate and register all filesystems // Try to register as many filesystems as possible. // Free memory once we no longer need it Status status; for (int i = 0; i < info->num_schemes; i++) { status.Update(ValidateAndRegisterFilesystems(info, i)); info->plugin_memory_free(info->ops[i].scheme);
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