1 //
2 // Copyright © 2020 Arm Ltd and Contributors. All rights reserved.
3 // SPDX-License-Identifier: MIT
4 //
5
6 #pragma once
7
8 #include <armnn/utility/IgnoreUnused.hpp>
9
10 #include <tensorflow/lite/builtin_ops.h>
11 #include <tensorflow/lite/c/builtin_op_data.h>
12 #include <tensorflow/lite/c/common.h>
13 #include <tensorflow/lite/minimal_logging.h>
14 #include <tensorflow/lite/kernels/internal/tensor_ctypes.h>
15
16 namespace armnnDelegate
17 {
18
VisitTransposeOperator(DelegateData & delegateData,TfLiteContext * tfLiteContext,TfLiteNode * tfLiteNode,int nodeIndex,int32_t tfliteTransposeOperatorCode)19 TfLiteStatus VisitTransposeOperator(DelegateData& delegateData,
20 TfLiteContext* tfLiteContext,
21 TfLiteNode* tfLiteNode,
22 int nodeIndex,
23 int32_t tfliteTransposeOperatorCode)
24 {
25 TF_LITE_ENSURE_STATUS(ValidateNumInputs(tfLiteContext, tfLiteNode, 2, nodeIndex));
26 TF_LITE_ENSURE_STATUS(ValidateNumOutputs(tfLiteContext, tfLiteNode, 1, nodeIndex));
27
28 const TfLiteTensor *tfLiteTensors = tfLiteContext->tensors;
29 const TfLiteTensor& tfLiteInputTensor0 = tfLiteTensors[tfLiteNode->inputs->data[0]];
30 if (IsDynamicTensor(tfLiteInputTensor0))
31 {
32 TF_LITE_MAYBE_KERNEL_LOG(tfLiteContext,
33 "TfLiteArmnnDelegate: Dynamic input tensors are not supported in "
34 "operator #%d node #%d: ",
35 tfliteTransposeOperatorCode, nodeIndex);
36
37 return kTfLiteError;
38 }
39
40 const TfLiteTensor& tfLiteInputTensor1 = tfLiteTensors[tfLiteNode->inputs->data[1]];
41 if (IsDynamicTensor(tfLiteInputTensor1))
42 {
43 TF_LITE_MAYBE_KERNEL_LOG(tfLiteContext,
44 "TfLiteArmnnDelegate: Dynamic input tensors are not supported in "
45 "operator #%d node #%d: ",
46 tfliteTransposeOperatorCode, nodeIndex);
47 return kTfLiteError;
48 }
49
50 const TfLiteTensor& tfLiteOutputTensor = tfLiteTensors[tfLiteNode->outputs->data[0]];
51 if (IsDynamicTensor(tfLiteOutputTensor))
52 {
53 TF_LITE_MAYBE_KERNEL_LOG(tfLiteContext,
54 "TfLiteArmnnDelegate: Dynamic output tensors are not supported in "
55 "operator #%d node #%d: ",
56 tfliteTransposeOperatorCode, nodeIndex);
57 return kTfLiteError;
58 }
59
60 const armnn::TensorInfo& inputTensorInfo0 = GetTensorInfoForTfLiteTensor(tfLiteInputTensor0);
61 const armnn::TensorInfo& inputTensorInfo1 = GetTensorInfoForTfLiteTensor(tfLiteInputTensor1); //permutation tensor
62 const armnn::TensorInfo& outputTensorInfo = GetTensorInfoForTfLiteTensor(tfLiteOutputTensor);
63
64 auto* permTensorDataPtr = tflite::GetTensorData<int32_t>(&tfLiteInputTensor1);
65 unsigned int numEl = tfLiteInputTensor1.dims->data[0];
66
67 ARMNN_ASSERT( numEl <= static_cast<int>(armnn::MaxNumOfTensorDimensions));
68 ARMNN_ASSERT( tfLiteInputTensor1.dims->size == 1); // ensure only single dimension to the permutation tensor
69
70 armnn::TransposeDescriptor descriptor(armnn::PermutationVector(
71 reinterpret_cast<const armnn::PermutationVector::ValueType *> (permTensorDataPtr),
72 static_cast<armnn::PermutationVector::SizeType>(numEl)));
73
74 bool isSupported = false;
75
76 auto validateFunc = [&](const armnn::TensorInfo& outputTensorInfo, bool& isSupported)
77 {
78 FORWARD_LAYER_SUPPORT_FUNC(__func__,
79 tfLiteContext,
80 IsTransposeSupported,
81 delegateData.m_Backends,
82 isSupported,
83 inputTensorInfo0,
84 outputTensorInfo,
85 descriptor);
86 };
87
88 if (!delegateData.m_Network)
89 {
90 validateFunc(outputTensorInfo, isSupported);
91 return isSupported ? kTfLiteOk : kTfLiteError;
92 }
93
94 armnn::IConnectableLayer* transposeLayer = delegateData.m_Network->AddTransposeLayer(descriptor);
95 ARMNN_ASSERT(transposeLayer != nullptr);
96 ARMNN_ASSERT(transposeLayer->GetNumInputSlots() == 1); // permutation vector given to descriptor object
97
98 armnn::IOutputSlot& outputSlot = transposeLayer->GetOutputSlot(0);
99 outputSlot.SetTensorInfo(outputTensorInfo);
100
101 return Connect(transposeLayer, tfLiteNode, delegateData);
102 }
103 } // namespace armnnDelegate
104