6688e1c23b
2. An initial introduction of InterpreterDetailedStatus to detail the error code that a TFLite interpreter may have during runtime. 3. Apply the above two to instrument the overall invoke latency and status as an initial exemplar usage. PiperOrigin-RevId: 313573701 Change-Id: I8c4189c72066d7d6f4c91014ef4f30e32635c115
84 lines
3.0 KiB
C++
84 lines
3.0 KiB
C++
/* Copyright 2020 The TensorFlow Authors. All Rights Reserved.
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Licensed under the Apache License, Version 2.0 (the "License");
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you may not use this file except in compliance with the License.
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You may obtain a copy of the License at
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http://www.apache.org/licenses/LICENSE-2.0
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Unless required by applicable law or agreed to in writing, software
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distributed under the License is distributed on an "AS IS" BASIS,
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WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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See the License for the specific language governing permissions and
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limitations under the License.
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==============================================================================*/
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#ifndef TENSORFLOW_LITE_DELEGATES_STATUS_H_
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#define TENSORFLOW_LITE_DELEGATES_STATUS_H_
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#include <cstdint>
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#include <limits>
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#include "tensorflow/lite/c/common.h"
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// This file defines data structures to represent detailed TFLite delegate
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// status, e.g. NNAPI delegate application failure because of a driver issue
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// etc. Such status is ONLY to be used for internal APIs.
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// Note, we simply use TfLiteStatus to represent high-level status while
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// delegate-specific status codes are defined with DelegateStatus.
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// WARNING: This is an experimental feature that is subject to change.
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namespace tflite {
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namespace delegates {
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// Defines the source of the code where it is generated from. We list all TFLite
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// delegates that're officially implemented and available as of April, 2020
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// (i.e. w/ 'TFLITE_' prefix to imply this).
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enum class DelegateStatusSource {
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NONE = 0,
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TFLITE_GPU = 1,
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TFLITE_NNAPI = 2,
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TFLITE_HEXAGON = 3,
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TFLITE_XNNPACK = 4,
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TFLITE_COREML = 5,
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MAX_NUM_SOURCES = std::numeric_limits<int32_t>::max(),
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};
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// Defines the detailed status that combines a DelegateStatusSource and a
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// status int32_t code.
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class DelegateStatus {
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public:
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DelegateStatus() : DelegateStatus(DelegateStatusSource::NONE, 0) {}
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explicit DelegateStatus(int32_t code)
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: DelegateStatus(DelegateStatusSource::NONE, code) {}
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explicit DelegateStatus(int64_t full_status)
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: DelegateStatus(
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static_cast<DelegateStatusSource>(
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full_status >> 32 &
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static_cast<int32_t>(DelegateStatusSource::MAX_NUM_SOURCES)),
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static_cast<int32_t>(full_status &
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std::numeric_limits<int32_t>::max())) {}
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DelegateStatus(DelegateStatusSource source, int32_t code)
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: source_(static_cast<int32_t>(source)), code_(code) {}
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// Return the detailed full status encoded as a int64_t value.
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int64_t full_status() const {
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return static_cast<int64_t>(source_) << 32 | code_;
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}
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DelegateStatusSource source() const {
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return static_cast<DelegateStatusSource>(source_);
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}
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int32_t code() const { return code_; }
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private:
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// value of a DelegateStatusSource, like DelegateStatusSource::TFLITE_GPU
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int32_t source_;
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// value of a status code, like kTfLiteOk.
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int32_t code_;
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};
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} // namespace delegates
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} // namespace tflite
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#endif // TENSORFLOW_LITE_DELEGATES_STATUS_H_
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