wehub-resource-sync
83 lines
3.6 KiB
C++
83 lines
3.6 KiB
C++
/* Copyright 2018 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_FLEX_UTIL_H_
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#define TENSORFLOW_LITE_DELEGATES_FLEX_UTIL_H_
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#include <string>
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#include "absl/status/status.h"
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#include "absl/status/statusor.h"
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#include "tensorflow/c/c_api_internal.h"
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#include "tensorflow/c/tf_datatype.h"
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#include "tensorflow/core/framework/resource_handle.h"
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#include "tensorflow/core/framework/tensor.h"
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#include "tensorflow/core/lib/core/status.h"
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#include "tensorflow/core/platform/statusor.h"
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#include "tensorflow/lite/core/c/common.h"
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#include "tensorflow/lite/util.h"
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namespace tflite {
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namespace flex {
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// Converts a tensorflow:Status into a TfLiteStatus. If the original status
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// represented an error, reports it using the given 'context'.
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TfLiteStatus ConvertStatus(TfLiteContext* context, const absl::Status& status);
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// Copies the given shape and type of the TensorFlow 'src' tensor into a TF Lite
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// 'tensor'. Logs an error and returns kTfLiteError if the shape or type can't
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// be converted.
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TfLiteStatus CopyShapeAndType(TfLiteContext* context,
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const tensorflow::Tensor& src,
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TfLiteTensor* tensor);
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// Returns the TF C API Data type that corresponds to the given TfLiteType.
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TF_DataType GetTensorFlowDataType(TfLiteType type);
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// Returns the TfLiteType that corresponds to the given TF C API Data type.
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TfLiteType GetTensorFlowLiteType(TF_DataType);
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// Returns the TF type name that corresponds to the given TfLiteType.
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const char* TfLiteTypeToTfTypeName(TfLiteType type);
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// Creates a `tensorflow::Tensor` from a TfLiteTensor for non-resource and
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// non-variant type. Returns error status if the conversion fails.
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absl::StatusOr<tensorflow::Tensor> CreateTfTensorFromTfLiteTensor(
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const TfLiteTensor* tflite_tensor);
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// Returns the encoded string name for a TF Lite resource variable tensor.
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// This function will return a string in the format:
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// tflite_resource_variable:resource_id.
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std::string TfLiteResourceIdentifier(const TfLiteTensor* tensor);
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// Parses out the resource ID from the given `resource_handle` and sets it
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// to the corresponding TfLiteTensor. Returns true if succeed.
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bool GetTfLiteResourceTensorFromResourceHandle(
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const tensorflow::ResourceHandle& resource_handle, TfLiteTensor* tensor);
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// We need a way to tell if we've stored a tensorflow::Tensor* in a resource
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// or if it's a standard kTfLiteResource tensor holding an integer. The proper
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// solution would be some way to set the TfLiteTensor::type field to something
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// unique for tensorflow::Tensor* resources. We don't want to do that, so we use
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// a hack instead: the `bytes` field of the tensor just needs to be big enough
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// to hold a pointer, but it can be larger. To disambiguate between a pointer on
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// a 32-bit machine and an int in a standard TFlite resource, we make the bytes
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// field a fixed constant big enough for a pointer on any platform.
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static constexpr int kTensorflowResourceTensorBytes = 8;
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} // namespace flex
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} // namespace tflite
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#endif // TENSORFLOW_LITE_DELEGATES_FLEX_UTIL_H_
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