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                "path": "tensorflow/lite/micro/micro_interpreter.h",
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              "summary": "Returns a pointer to the tensor for the corresponding tensorindex."
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              "summary": "Reset the state to be what you would expect when the interpreter is first created."
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              "source": {
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              "description": "Populates node and registration pointers representing the inference graph of the model from values inside the flatbuffer (loaded from the TfLiteModel instance). Persistent data (e.g. operator data) is allocated from the arena.",
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              "description": "For debugging only. Returns the actual used arena in bytes. This method gives the optimal arena size. It's only available after `AllocateTensors` has been called. Note that normally `tensor_arena` requires 16 bytes alignment to fully utilize the space. If it's not the case, the optimal arena size would be `arena_used_bytes()` + 16.",
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              "source": {
                "line": 149,
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                "url": "https://github.com/AmbiqAI/helia-rt/blob/70611e608778a432566e30965e8b4bc7ea75aa36/tensorflow/lite/micro/micro_interpreter.h#L149"
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              "summary": "For debugging only."
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              "description": "Returns True if all Tensors are being preserved TODO(b/297106074) : revisit making C++ example or test for preserve_all_tensors",
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              "summary": "Returns True if all Tensors are being preserved TODO(b/297106074) : revisit making C++ example or test for preservealltensors"
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              "description": "Set the alternate `MicroProfilerInterface`. This value is passed through to the MicroContext. This can be used to profile subsystems simultaneously with the profiling of kernels during the Eval phase. See (b/379584353). The alternate `MicroProfilerInterface` is currently used by the tensor decompression subsystem.",
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            },
            {
              "description": "Set the alternate decompression memory regions. Can only be called during the `MicroInterpreter` kInit state (i.e. must be called before `MicroInterpreter::AllocateTensors`). The regions pointer argument is the start of a MicroContext::AlternateMemoryRegion array where the length of the array is given by the count argument. The lifetime of the MicroContext::AlternateMemoryRegion array must be at least that of the `MicroInterpreter`.",
              "examples": [],
              "id": "tflite::MicroInterpreter::SetDecompressionMemory",
              "kind": "method",
              "language": "cpp",
              "members": [],
              "name": "SetDecompressionMemory",
              "params": [
                {
                  "description": "",
                  "name": "regions",
                  "type": "const MicroContext::AlternateMemoryRegion *"
                },
                {
                  "description": "",
                  "name": "count",
                  "type": "size_t"
                }
              ],
              "raises": [],
              "returns": [],
              "signature": "TfLiteStatus tflite::MicroInterpreter::SetDecompressionMemory(\n    const MicroContext::AlternateMemoryRegion *regions,\n    size_t count\n)",
              "source": {
                "line": 174,
                "path": "tensorflow/lite/micro/micro_interpreter.h",
                "url": "https://github.com/AmbiqAI/helia-rt/blob/70611e608778a432566e30965e8b4bc7ea75aa36/tensorflow/lite/micro/micro_interpreter.h#L174"
              },
              "summary": "Set the alternate decompression memory regions."
            },
            {
              "description": "",
              "examples": [],
              "id": "tflite::MicroInterpreter::allocator",
              "kind": "method",
              "language": "cpp",
              "members": [],
              "name": "allocator",
              "params": [],
              "raises": [],
              "returns": [],
              "signature": "const MicroAllocator & tflite::MicroInterpreter::allocator() const",
              "source": {
                "line": 178,
                "path": "tensorflow/lite/micro/micro_interpreter.h",
                "url": "https://github.com/AmbiqAI/helia-rt/blob/70611e608778a432566e30965e8b4bc7ea75aa36/tensorflow/lite/micro/micro_interpreter.h#L178"
              },
              "summary": ""
            },
            {
              "description": "",
              "examples": [],
              "id": "tflite::MicroInterpreter::context",
              "kind": "method",
              "language": "cpp",
              "members": [],
              "name": "context",
              "params": [],
              "raises": [],
              "returns": [],
              "signature": "const TfLiteContext & tflite::MicroInterpreter::context() const",
              "source": {
                "line": 179,
                "path": "tensorflow/lite/micro/micro_interpreter.h",
                "url": "https://github.com/AmbiqAI/helia-rt/blob/70611e608778a432566e30965e8b4bc7ea75aa36/tensorflow/lite/micro/micro_interpreter.h#L179"
              },
              "summary": ""
            }
          ],
          "name": "MicroInterpreter",
          "params": [],
          "raises": [],
          "returns": [],
          "signature": "class MicroInterpreter",
          "source": {
            "line": 46,
            "path": "tensorflow/lite/micro/micro_interpreter.h",
            "url": "https://github.com/AmbiqAI/helia-rt/blob/70611e608778a432566e30965e8b4bc7ea75aa36/tensorflow/lite/micro/micro_interpreter.h#L46"
          },
          "summary": ""
        }
      ]
    }
  ],
  "name": "heliaRT"
}