ArmNN
 24.02
NeonQLstmWorkload.cpp
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1 //
2 // Copyright © 2020-2023 Arm Ltd and Contributors. All rights reserved.
3 // SPDX-License-Identifier: MIT
4 //
5 
6 #include "NeonQLstmWorkload.hpp"
7 #include "NeonWorkloadUtils.hpp"
8 
9 #include "aclCommon/ArmComputeTensorUtils.hpp"
10 
11 #include "neon/NeonTensorHandle.hpp"
12 
13 namespace armnn
14 {
15 using namespace armcomputetensorutils;
16 
17 NeonQLstmWorkload::NeonQLstmWorkload(const QLstmQueueDescriptor& descriptor, const WorkloadInfo& info)
18  : NeonBaseWorkload<QLstmQueueDescriptor>(descriptor, info)
19 {
20  // Report Profiling Details
21  ARMNN_REPORT_PROFILING_WORKLOAD_DESC("NeonQLstmWorkload_Construct",
22  descriptor.m_Parameters,
23  info,
24  this->GetGuid());
25 
26  arm_compute::LSTMParams<arm_compute::ITensor> qLstmParams;
27 
28  // Mandatory params
29  m_InputToForgetWeightsTensor = std::make_unique<arm_compute::Tensor>();
30  BuildArmComputeTensor(*m_InputToForgetWeightsTensor, m_Data.m_InputToForgetWeights->GetTensorInfo());
31 
32  m_InputToCellWeightsTensor = std::make_unique<arm_compute::Tensor>();
33  BuildArmComputeTensor(*m_InputToCellWeightsTensor, m_Data.m_InputToCellWeights->GetTensorInfo());
34 
35  m_InputToOutputWeightsTensor = std::make_unique<arm_compute::Tensor>();
36  BuildArmComputeTensor(*m_InputToOutputWeightsTensor, m_Data.m_InputToOutputWeights->GetTensorInfo());
37 
38  m_RecurrentToForgetWeightsTensor = std::make_unique<arm_compute::Tensor>();
39  BuildArmComputeTensor(*m_RecurrentToForgetWeightsTensor, m_Data.m_RecurrentToForgetWeights->GetTensorInfo());
40 
41  m_RecurrentToCellWeightsTensor = std::make_unique<arm_compute::Tensor>();
42  BuildArmComputeTensor(*m_RecurrentToCellWeightsTensor, m_Data.m_RecurrentToCellWeights->GetTensorInfo());
43 
44  m_RecurrentToOutputWeightsTensor = std::make_unique<arm_compute::Tensor>();
45  BuildArmComputeTensor(*m_RecurrentToOutputWeightsTensor, m_Data.m_RecurrentToOutputWeights->GetTensorInfo());
46 
47  m_ForgetGateBiasTensor = std::make_unique<arm_compute::Tensor>();
48  BuildArmComputeTensor(*m_ForgetGateBiasTensor, m_Data.m_ForgetGateBias->GetTensorInfo());
49 
50  m_CellBiasTensor = std::make_unique<arm_compute::Tensor>();
51  BuildArmComputeTensor(*m_CellBiasTensor, m_Data.m_CellBias->GetTensorInfo());
52 
53  m_OutputGateBiasTensor = std::make_unique<arm_compute::Tensor>();
54  BuildArmComputeTensor(*m_OutputGateBiasTensor, m_Data.m_OutputGateBias->GetTensorInfo());
55 
56  // Create tensors for optional params if they are enabled
57  if (m_Data.m_Parameters.m_PeepholeEnabled)
58  {
59  m_CellToInputWeightsTensor = std::make_unique<arm_compute::Tensor>();
60 
61  if (!m_Data.m_Parameters.m_CifgEnabled)
62  {
63  // In ACL this is categorised as a CIFG param and not a Peephole param
64  BuildArmComputeTensor(*m_CellToInputWeightsTensor, m_Data.m_CellToInputWeights->GetTensorInfo());
65  }
66 
67  m_CellToForgetWeightsTensor = std::make_unique<arm_compute::Tensor>();
68  BuildArmComputeTensor(*m_CellToForgetWeightsTensor, m_Data.m_CellToForgetWeights->GetTensorInfo());
69 
70  m_CellToOutputWeightsTensor = std::make_unique<arm_compute::Tensor>();
71  BuildArmComputeTensor(*m_CellToOutputWeightsTensor, m_Data.m_CellToOutputWeights->GetTensorInfo());
72 
73  // Set Peephole params
74  qLstmParams.set_peephole_params(m_CellToForgetWeightsTensor.get(),
75  m_CellToOutputWeightsTensor.get());
76  }
77 
78  if (m_Data.m_Parameters.m_ProjectionEnabled)
79  {
80  m_ProjectionWeightsTensor = std::make_unique<arm_compute::Tensor>();
81  BuildArmComputeTensor(*m_ProjectionWeightsTensor, m_Data.m_ProjectionWeights->GetTensorInfo());
82 
83  m_ProjectionBiasTensor = std::make_unique<arm_compute::Tensor>();
84  if (m_Data.m_ProjectionBias != nullptr)
85  {
86  BuildArmComputeTensor(*m_ProjectionBiasTensor, m_Data.m_ProjectionBias->GetTensorInfo());
87  }
88 
89  // Set projection params
90  qLstmParams.set_projection_params(
91  m_ProjectionWeightsTensor.get(),
92  m_Data.m_ProjectionBias != nullptr ? m_ProjectionBiasTensor.get() : nullptr);
93  }
94 
95  if (m_Data.m_Parameters.m_LayerNormEnabled)
96  {
97  m_InputLayerNormWeightsTensor = std::make_unique<arm_compute::Tensor>();
98 
99  if (!m_Data.m_Parameters.m_CifgEnabled)
100  {
101  BuildArmComputeTensor(*m_InputLayerNormWeightsTensor, m_Data.m_InputLayerNormWeights->GetTensorInfo());
102  }
103 
104  m_ForgetLayerNormWeightsTensor = std::make_unique<arm_compute::Tensor>();
105  BuildArmComputeTensor(*m_ForgetLayerNormWeightsTensor, m_Data.m_ForgetLayerNormWeights->GetTensorInfo());
106 
107  m_CellLayerNormWeightsTensor = std::make_unique<arm_compute::Tensor>();
108  BuildArmComputeTensor(*m_CellLayerNormWeightsTensor, m_Data.m_CellLayerNormWeights->GetTensorInfo());
109 
110  m_OutputLayerNormWeightsTensor = std::make_unique<arm_compute::Tensor>();
111  BuildArmComputeTensor(*m_OutputLayerNormWeightsTensor, m_Data.m_OutputLayerNormWeights->GetTensorInfo());
112 
113  // Set layer norm params
114  qLstmParams.set_layer_normalization_params(
115  m_Data.m_InputLayerNormWeights != nullptr ? m_InputLayerNormWeightsTensor.get() : nullptr,
116  m_ForgetLayerNormWeightsTensor.get(),
117  m_CellLayerNormWeightsTensor.get(),
118  m_OutputLayerNormWeightsTensor.get());
119  }
120 
121  if (!m_Data.m_Parameters.m_CifgEnabled)
122  {
123  m_InputToInputWeightsTensor = std::make_unique<arm_compute::Tensor>();
124  BuildArmComputeTensor(*m_InputToInputWeightsTensor, m_Data.m_InputToInputWeights->GetTensorInfo());
125 
126  m_RecurrentToInputWeightsTensor = std::make_unique<arm_compute::Tensor>();
127  BuildArmComputeTensor(*m_RecurrentToInputWeightsTensor, m_Data.m_RecurrentToInputWeights->GetTensorInfo());
128 
129  m_InputGateBiasTensor = std::make_unique<arm_compute::Tensor>();
130  BuildArmComputeTensor(*m_InputGateBiasTensor, m_Data.m_InputGateBias->GetTensorInfo());
131 
132  // Set CIFG params
133  qLstmParams.set_cifg_params(
134  m_InputToInputWeightsTensor.get(),
135  m_RecurrentToInputWeightsTensor.get(),
136  m_Data.m_CellToInputWeights != nullptr ? m_CellToInputWeightsTensor.get() : nullptr,
137  m_InputGateBiasTensor.get());
138  }
139 
140  // Input/Output tensors
141  const arm_compute::ITensor& input = static_cast<IAclTensorHandle*>(m_Data.m_Inputs[0])->GetTensor();
142  arm_compute::ITensor& outputStateIn = static_cast<IAclTensorHandle*>(m_Data.m_Inputs[1])->GetTensor();
143  const arm_compute::ITensor& cellStateIn = static_cast<IAclTensorHandle*>(m_Data.m_Inputs[2])->GetTensor();
144 
145  arm_compute::ITensor& outputStateOut = static_cast<IAclTensorHandle*>(m_Data.m_Outputs[0])->GetTensor();
146  arm_compute::ITensor& cellStateOut = static_cast<IAclTensorHandle*>(m_Data.m_Outputs[1])->GetTensor();
147  arm_compute::ITensor& output = static_cast<IAclTensorHandle*>(m_Data.m_Outputs[2])->GetTensor();
148 
149  // Set scalar descriptor params
150  qLstmParams.set_cell_clip_params(m_Data.m_Parameters.m_CellClip);
151  qLstmParams.set_projection_clip_params(m_Data.m_Parameters.m_ProjectionClip);
152  qLstmParams.set_hidden_state_params(m_Data.m_Parameters.m_HiddenStateZeroPoint,
153  m_Data.m_Parameters.m_HiddenStateScale);
154  qLstmParams.set_matmul_scale_params(m_Data.m_Parameters.m_InputIntermediateScale,
155  m_Data.m_Parameters.m_ForgetIntermediateScale,
156  m_Data.m_Parameters.m_CellIntermediateScale,
157  m_Data.m_Parameters.m_OutputIntermediateScale);
158 
159  // QLSTM NEON configure
160  m_QLstmLayer.configure(&input,
161  m_InputToForgetWeightsTensor.get(),
162  m_InputToCellWeightsTensor.get(),
163  m_InputToOutputWeightsTensor.get(),
164  m_RecurrentToForgetWeightsTensor.get(),
165  m_RecurrentToCellWeightsTensor.get(),
166  m_RecurrentToOutputWeightsTensor.get(),
167  m_ForgetGateBiasTensor.get(),
168  m_CellBiasTensor.get(),
169  m_OutputGateBiasTensor.get(),
170  &cellStateIn,
171  &outputStateIn,
172  &cellStateOut,
173  &outputStateOut,
174  &output,
175  qLstmParams);
176 
177  // Initialise ACL tensor data for mandatory params
178  InitializeArmComputeTensorData(*m_InputToForgetWeightsTensor, m_Data.m_InputToForgetWeights);
179  InitializeArmComputeTensorData(*m_InputToCellWeightsTensor, m_Data.m_InputToCellWeights);
180  InitializeArmComputeTensorData(*m_InputToOutputWeightsTensor, m_Data.m_InputToOutputWeights);
181 
182  InitializeArmComputeTensorData(*m_RecurrentToForgetWeightsTensor, m_Data.m_RecurrentToForgetWeights);
183  InitializeArmComputeTensorData(*m_RecurrentToCellWeightsTensor, m_Data.m_RecurrentToCellWeights);
184  InitializeArmComputeTensorData(*m_RecurrentToOutputWeightsTensor, m_Data.m_RecurrentToOutputWeights);
185 
186  InitializeArmComputeTensorData(*m_ForgetGateBiasTensor, m_Data.m_ForgetGateBias);
187  InitializeArmComputeTensorData(*m_CellBiasTensor, m_Data.m_CellBias);
188  InitializeArmComputeTensorData(*m_OutputGateBiasTensor, m_Data.m_OutputGateBias);
189 
190  // Initialise ACL tensor data for optional params
191  if (!m_Data.m_Parameters.m_CifgEnabled)
192  {
193  InitializeArmComputeTensorData(*m_InputToInputWeightsTensor, m_Data.m_InputToInputWeights);
194  InitializeArmComputeTensorData(*m_RecurrentToInputWeightsTensor, m_Data.m_RecurrentToInputWeights);
195  InitializeArmComputeTensorData(*m_InputGateBiasTensor, m_Data.m_InputGateBias);
196  }
197 
198  if (m_Data.m_Parameters.m_ProjectionEnabled)
199  {
200  InitializeArmComputeTensorData(*m_ProjectionWeightsTensor, m_Data.m_ProjectionWeights);
201 
202  if (m_Data.m_ProjectionBias != nullptr)
203  {
204  InitializeArmComputeTensorData(*m_ProjectionBiasTensor, m_Data.m_ProjectionBias);
205  }
206  }
207 
208  if (m_Data.m_Parameters.m_PeepholeEnabled)
209  {
210  if (!m_Data.m_Parameters.m_CifgEnabled)
211  {
212  InitializeArmComputeTensorData(*m_CellToInputWeightsTensor, m_Data.m_CellToInputWeights);
213  }
214 
215  InitializeArmComputeTensorData(*m_CellToForgetWeightsTensor, m_Data.m_CellToForgetWeights);
216  InitializeArmComputeTensorData(*m_CellToOutputWeightsTensor, m_Data.m_CellToOutputWeights);
217  }
218 
219  if (m_Data.m_Parameters.m_LayerNormEnabled)
220  {
221  if (!m_Data.m_Parameters.m_CifgEnabled)
222  {
223  InitializeArmComputeTensorData(*m_InputLayerNormWeightsTensor, m_Data.m_InputLayerNormWeights);
224  }
225 
226  InitializeArmComputeTensorData(*m_ForgetLayerNormWeightsTensor, m_Data.m_ForgetLayerNormWeights);
227  InitializeArmComputeTensorData(*m_CellLayerNormWeightsTensor, m_Data.m_CellLayerNormWeights);
228  InitializeArmComputeTensorData(*m_OutputLayerNormWeightsTensor, m_Data.m_OutputLayerNormWeights);
229  }
230 
231  // QLSTM NEON prepare
232  m_QLstmLayer.prepare();
233 
234  FreeUnusedTensors();
235 }
236 
237 void NeonQLstmWorkload::Execute() const
238 {
239  ARMNN_SCOPED_PROFILING_EVENT_NEON_NAME_GUID("NeonQLstmWorkload_Execute");
240  m_QLstmLayer.run();
241 }
242 
243 arm_compute::Status NeonQLstmWorkloadValidate(const TensorInfo& input,
244  const TensorInfo& cellStateIn,
245  const TensorInfo& outputStateIn,
246  const TensorInfo& cellStateOut,
247  const TensorInfo& outputStateOut,
248  const TensorInfo& output,
249  const QLstmDescriptor& descriptor,
250  const LstmInputParamsInfo& paramsInfo)
251 {
252  arm_compute::LSTMParams<arm_compute::ITensorInfo> aclParamsInfo;
253 
254  // Input/Output tensor info
255  const arm_compute::TensorInfo aclInputInfo = BuildArmComputeTensorInfo(input);
256  const arm_compute::TensorInfo aclOutputStateInInfo = BuildArmComputeTensorInfo(outputStateIn);
257  const arm_compute::TensorInfo aclCellStateInInfo = BuildArmComputeTensorInfo(cellStateIn);
258 
259  const arm_compute::TensorInfo aclOutputStateOutInfo = BuildArmComputeTensorInfo(outputStateOut);
260  const arm_compute::TensorInfo aclCellStateOutInfo = BuildArmComputeTensorInfo(cellStateOut);
261  const arm_compute::TensorInfo aclOutputInfo = BuildArmComputeTensorInfo(output);
262 
263  // Mandatory tensor info
264  const arm_compute::TensorInfo aclInputToForgetWeightsInfo
265  = BuildArmComputeTensorInfo(paramsInfo.GetInputToForgetWeights());
266  const arm_compute::TensorInfo aclInputToCellWeightsInfo
267  = BuildArmComputeTensorInfo(paramsInfo.GetInputToCellWeights());
268  const arm_compute::TensorInfo aclInputToOutputWeightsInfo
269  = BuildArmComputeTensorInfo(paramsInfo.GetInputToOutputWeights());
270  const arm_compute::TensorInfo aclRecurrentToForgetWeightsInfo
271  = BuildArmComputeTensorInfo(paramsInfo.GetRecurrentToForgetWeights());
272  const arm_compute::TensorInfo aclRecurrentToCellWeightsInfo
273  = BuildArmComputeTensorInfo(paramsInfo.GetRecurrentToCellWeights());
274  const arm_compute::TensorInfo aclRecurrentToOutputWeightsInfo
275  = BuildArmComputeTensorInfo(paramsInfo.GetRecurrentToOutputWeights());
276  const arm_compute::TensorInfo aclForgetGateBiasInfo
277  = BuildArmComputeTensorInfo(paramsInfo.GetForgetGateBias());
278  const arm_compute::TensorInfo aclCellBiasInfo
279  = BuildArmComputeTensorInfo(paramsInfo.GetCellBias());
280  const arm_compute::TensorInfo aclOutputGateBiasInfo
281  = BuildArmComputeTensorInfo(paramsInfo.GetOutputGateBias());
282 
283  // Optional tensor info
284  arm_compute::TensorInfo aclInputToInputWeightsInfo;
285  arm_compute::TensorInfo aclRecurrentToInputWeightsInfo;
286 
287  arm_compute::TensorInfo aclCellToInputWeightsInfo;
288  arm_compute::TensorInfo aclCellToForgetWeightsInfo;
289  arm_compute::TensorInfo aclCellToOutputWeightsInfo;
290 
291  arm_compute::TensorInfo aclInputGateBiasInfo;
292 
293  arm_compute::TensorInfo aclProjectionWeightsInfo;
294  arm_compute::TensorInfo aclProjectionBiasInfo;
295 
296  arm_compute::TensorInfo aclInputLayerNormWeightsInfo;
297  arm_compute::TensorInfo aclForgetLayerNormWeightsInfo;
298  arm_compute::TensorInfo aclCellLayerNormWeightsInfo;
299  arm_compute::TensorInfo aclOutputLayerNormWeightsInfo;
300 
301  // Create tensor info for optional params if they are enabled
302  if (descriptor.m_PeepholeEnabled)
303  {
304  if (!descriptor.m_CifgEnabled)
305  {
306  aclCellToInputWeightsInfo = BuildArmComputeTensorInfo(paramsInfo.GetCellToInputWeights());
307  }
308 
309  aclCellToForgetWeightsInfo = BuildArmComputeTensorInfo(paramsInfo.GetCellToForgetWeights());
310  aclCellToOutputWeightsInfo = BuildArmComputeTensorInfo(paramsInfo.GetCellToOutputWeights());
311 
312  // Set peephole params info
313  aclParamsInfo.set_peephole_params(&aclCellToForgetWeightsInfo,
314  &aclCellToOutputWeightsInfo);
315  }
316 
317  if (descriptor.m_ProjectionEnabled)
318  {
319  aclProjectionWeightsInfo = BuildArmComputeTensorInfo(paramsInfo.GetProjectionWeights());
320 
321  if (paramsInfo.m_ProjectionBias != nullptr)
322  {
323  aclProjectionBiasInfo = BuildArmComputeTensorInfo(paramsInfo.GetProjectionBias());
324  }
325 
326  // Set projection params info
327  aclParamsInfo.set_projection_params(
328  &aclProjectionWeightsInfo,
329  paramsInfo.m_ProjectionBias != nullptr ? &aclProjectionBiasInfo : nullptr);
330  }
331 
332  if (descriptor.m_LayerNormEnabled)
333  {
334  if (!descriptor.m_CifgEnabled)
335  {
336  aclInputLayerNormWeightsInfo = BuildArmComputeTensorInfo(paramsInfo.GetInputLayerNormWeights());
337  }
338 
339  aclForgetLayerNormWeightsInfo = BuildArmComputeTensorInfo(paramsInfo.GetForgetLayerNormWeights());
340  aclCellLayerNormWeightsInfo = BuildArmComputeTensorInfo(paramsInfo.GetCellLayerNormWeights());
341  aclOutputLayerNormWeightsInfo = BuildArmComputeTensorInfo(paramsInfo.GetOutputLayerNormWeights());
342 
343  // Set layer norm params info
344  aclParamsInfo.set_layer_normalization_params(
345  paramsInfo.m_InputLayerNormWeights != nullptr ? &aclInputLayerNormWeightsInfo : nullptr,
346  &aclForgetLayerNormWeightsInfo,
347  &aclCellLayerNormWeightsInfo,
348  &aclOutputLayerNormWeightsInfo);
349  }
350 
351  if (!descriptor.m_CifgEnabled)
352  {
353  aclInputToInputWeightsInfo = BuildArmComputeTensorInfo(paramsInfo.GetInputToInputWeights());
354  aclRecurrentToInputWeightsInfo = BuildArmComputeTensorInfo(paramsInfo.GetRecurrentToInputWeights());
355  aclInputGateBiasInfo = BuildArmComputeTensorInfo(paramsInfo.GetInputGateBias());
356 
357  // Set CIFG params info
358  aclParamsInfo.set_cifg_params(
359  &aclInputToInputWeightsInfo,
360  &aclRecurrentToInputWeightsInfo,
361  paramsInfo.m_CellToInputWeights != nullptr ? &aclCellToInputWeightsInfo : nullptr,
362  &aclInputGateBiasInfo);
363  }
364 
365  // Set scalar descriptor params
366  aclParamsInfo.set_cell_clip_params(descriptor.m_CellClip);
367  aclParamsInfo.set_projection_clip_params(descriptor.m_ProjectionClip);
368  aclParamsInfo.set_hidden_state_params(descriptor.m_HiddenStateZeroPoint, descriptor.m_HiddenStateScale);
369  aclParamsInfo.set_matmul_scale_params(descriptor.m_InputIntermediateScale,
370  descriptor.m_ForgetIntermediateScale,
371  descriptor.m_CellIntermediateScale,
372  descriptor.m_OutputIntermediateScale);
373 
374  // QLSTM NEON validate
375  return arm_compute::NEQLSTMLayer::validate(&aclInputInfo,
376  &aclInputToForgetWeightsInfo,
377  &aclInputToCellWeightsInfo,
378  &aclInputToOutputWeightsInfo,
379  &aclRecurrentToForgetWeightsInfo,
380  &aclRecurrentToCellWeightsInfo,
381  &aclRecurrentToOutputWeightsInfo,
382  &aclForgetGateBiasInfo,
383  &aclCellBiasInfo,
384  &aclOutputGateBiasInfo,
385  &aclCellStateInInfo,
386  &aclOutputStateInInfo,
387  &aclCellStateOutInfo,
388  &aclOutputStateOutInfo,
389  &aclOutputInfo,
390  aclParamsInfo);
391 }
392 
393 void NeonQLstmWorkload::FreeUnusedTensors()
394 {
395  FreeTensorIfUnused(m_InputToInputWeightsTensor);
396  FreeTensorIfUnused(m_InputToForgetWeightsTensor);
397  FreeTensorIfUnused(m_InputToCellWeightsTensor);
398  FreeTensorIfUnused(m_InputToOutputWeightsTensor);
399 
400  FreeTensorIfUnused(m_RecurrentToInputWeightsTensor);
401  FreeTensorIfUnused(m_RecurrentToForgetWeightsTensor);
402  FreeTensorIfUnused(m_RecurrentToCellWeightsTensor);
403  FreeTensorIfUnused(m_RecurrentToOutputWeightsTensor);
404 
405  FreeTensorIfUnused(m_CellToInputWeightsTensor);
406  FreeTensorIfUnused(m_CellToForgetWeightsTensor);
407  FreeTensorIfUnused(m_CellToOutputWeightsTensor);
408 
409  FreeTensorIfUnused(m_InputGateBiasTensor);
410  FreeTensorIfUnused(m_ForgetGateBiasTensor);
411  FreeTensorIfUnused(m_CellBiasTensor);
412  FreeTensorIfUnused(m_OutputGateBiasTensor);
413 
414  FreeTensorIfUnused(m_ProjectionWeightsTensor);
415  FreeTensorIfUnused(m_ProjectionBiasTensor);
416 
417  FreeTensorIfUnused(m_InputLayerNormWeightsTensor);
418  FreeTensorIfUnused(m_ForgetLayerNormWeightsTensor);
419  FreeTensorIfUnused(m_CellLayerNormWeightsTensor);
420  FreeTensorIfUnused(m_OutputLayerNormWeightsTensor);
421 }
422 
423 } //namespace armnn
armnn::QLstmDescriptor::m_ForgetIntermediateScale
float m_ForgetIntermediateScale
Forget intermediate quantization scale.
Definition: Descriptors.hpp:1428
armnn::LstmInputParamsInfo::GetCellBias
const TensorInfo & GetCellBias() const
Definition: LstmParams.hpp:173
armnn::QLstmDescriptor
A QLstmDescriptor for the QLstmLayer.
Definition: Descriptors.hpp:1380
armnn::QLstmDescriptor::m_ProjectionEnabled
bool m_ProjectionEnabled
Enable/disable the projection layer.
Definition: Descriptors.hpp:1422
armnn::LstmInputParamsInfo::m_InputLayerNormWeights
const TensorInfo * m_InputLayerNormWeights
Definition: LstmParams.hpp:106
armnn::LstmInputParamsInfo::GetInputToCellWeights
const TensorInfo & GetInputToCellWeights() const
Definition: LstmParams.hpp:129
armnn::NeonQLstmWorkloadValidate
arm_compute::Status NeonQLstmWorkloadValidate(const TensorInfo &input, const TensorInfo &cellStateIn, const TensorInfo &outputStateIn, const TensorInfo &cellStateOut, const TensorInfo &outputStateOut, const TensorInfo &output, const QLstmDescriptor &descriptor, const LstmInputParamsInfo &paramsInfo)
Definition: NeonQLstmWorkload.cpp:243
armnn::QLstmQueueDescriptor::m_InputToForgetWeights
const ConstTensorHandle * m_InputToForgetWeights
Definition: WorkloadData.hpp:590
armnn::QLstmQueueDescriptor::m_InputLayerNormWeights
const ConstTensorHandle * m_InputLayerNormWeights
Definition: WorkloadData.hpp:606
armnn::TensorInfo
Definition: Tensor.hpp:152
NeonTensorHandle.hpp
armnn::LstmInputParamsInfo::GetProjectionBias
const TensorInfo & GetProjectionBias() const
Definition: LstmParams.hpp:185
armnn::LstmInputParamsInfo::m_CellToInputWeights
const TensorInfo * m_CellToInputWeights
Definition: LstmParams.hpp:97
armnn::LstmInputParamsInfo::GetInputGateBias
const TensorInfo & GetInputGateBias() const
Definition: LstmParams.hpp:165
armnn::QLstmDescriptor::m_InputIntermediateScale
float m_InputIntermediateScale
Input intermediate quantization scale.
Definition: Descriptors.hpp:1426
armnn::ConstTensorHandle::GetTensorInfo
const TensorInfo & GetTensorInfo() const
Definition: TensorHandle.hpp:40
armnn::LstmInputParamsInfo::GetRecurrentToInputWeights
const TensorInfo & GetRecurrentToInputWeights() const
Definition: LstmParams.hpp:137
armnn::LstmInputParamsInfo::GetRecurrentToForgetWeights
const TensorInfo & GetRecurrentToForgetWeights() const
Definition: LstmParams.hpp:141
armnn::QLstmQueueDescriptor::m_InputToInputWeights
const ConstTensorHandle * m_InputToInputWeights
Definition: WorkloadData.hpp:589
armnn::QLstmDescriptor::m_CellIntermediateScale
float m_CellIntermediateScale
Cell intermediate quantization scale.
Definition: Descriptors.hpp:1430
armnn::LstmInputParamsInfo::GetRecurrentToCellWeights
const TensorInfo & GetRecurrentToCellWeights() const
Definition: LstmParams.hpp:145
armnn::QLstmQueueDescriptor::m_ProjectionWeights
const ConstTensorHandle * m_ProjectionWeights
Definition: WorkloadData.hpp:604
armnn::QLstmQueueDescriptor::m_ForgetLayerNormWeights
const ConstTensorHandle * m_ForgetLayerNormWeights
Definition: WorkloadData.hpp:607
armnn::QLstmQueueDescriptor::m_RecurrentToOutputWeights
const ConstTensorHandle * m_RecurrentToOutputWeights
Definition: WorkloadData.hpp:596
armnn::InitializeArmComputeTensorData
void InitializeArmComputeTensorData(arm_compute::Tensor &tensor, TensorInfo tensorInfo, const ITensorHandle *handle)
Definition: NeonWorkloadUtils.hpp:68
armnn::LstmInputParamsInfo::GetInputLayerNormWeights
const TensorInfo & GetInputLayerNormWeights() const
Definition: LstmParams.hpp:189
armnn::QLstmQueueDescriptor::m_CellToOutputWeights
const ConstTensorHandle * m_CellToOutputWeights
Definition: WorkloadData.hpp:599
armnn::IAclTensorHandle
Definition: ArmComputeTensorHandle.hpp:16
armnn::QueueDescriptorWithParameters::m_Parameters
LayerDescriptor m_Parameters
Definition: WorkloadData.hpp:66
armnn::LstmInputParamsInfo::GetCellToInputWeights
const TensorInfo & GetCellToInputWeights() const
Definition: LstmParams.hpp:153
armnn::LstmInputParamsInfo::GetRecurrentToOutputWeights
const TensorInfo & GetRecurrentToOutputWeights() const
Definition: LstmParams.hpp:149
armnn::QLstmQueueDescriptor::m_CellToForgetWeights
const ConstTensorHandle * m_CellToForgetWeights
Definition: WorkloadData.hpp:598
armnn::LstmInputParamsInfo::GetInputToInputWeights
const TensorInfo & GetInputToInputWeights() const
Definition: LstmParams.hpp:121
armnn::WorkloadInfo
Contains information about TensorInfos of a layer.
Definition: WorkloadInfo.hpp:16
armnn::LstmInputParamsInfo::GetForgetGateBias
const TensorInfo & GetForgetGateBias() const
Definition: LstmParams.hpp:169
armnn::QLstmQueueDescriptor::m_OutputLayerNormWeights
const ConstTensorHandle * m_OutputLayerNormWeights
Definition: WorkloadData.hpp:609
armnn::QLstmQueueDescriptor::m_InputGateBias
const ConstTensorHandle * m_InputGateBias
Definition: WorkloadData.hpp:600
armnn::LstmInputParamsInfo::GetCellToForgetWeights
const TensorInfo & GetCellToForgetWeights() const
Definition: LstmParams.hpp:157
armnn::QLstmQueueDescriptor::m_OutputGateBias
const ConstTensorHandle * m_OutputGateBias
Definition: WorkloadData.hpp:603
armnn::QLstmQueueDescriptor::m_ForgetGateBias
const ConstTensorHandle * m_ForgetGateBias
Definition: WorkloadData.hpp:601
armnn::QLstmDescriptor::m_ProjectionClip
float m_ProjectionClip
Clipping threshold value for the projection.
Definition: Descriptors.hpp:1416
armnn::QLstmQueueDescriptor
Definition: WorkloadData.hpp:562
NeonQLstmWorkload.hpp
armnn::QLstmQueueDescriptor::m_RecurrentToInputWeights
const ConstTensorHandle * m_RecurrentToInputWeights
Definition: WorkloadData.hpp:593
armnn::BoostLogSeverityMapping::info
@ info
armnn::QLstmDescriptor::m_OutputIntermediateScale
float m_OutputIntermediateScale
Output intermediate quantization scale.
Definition: Descriptors.hpp:1432
armnn::QueueDescriptor::m_Outputs
std::vector< ITensorHandle * > m_Outputs
Definition: WorkloadData.hpp:27
armnn::QLstmQueueDescriptor::m_RecurrentToForgetWeights
const ConstTensorHandle * m_RecurrentToForgetWeights
Definition: WorkloadData.hpp:594
ARMNN_REPORT_PROFILING_WORKLOAD_DESC
#define ARMNN_REPORT_PROFILING_WORKLOAD_DESC(name, desc, infos, guid)
Definition: Profiling.hpp:227
armnn::Status
Status
Definition: Types.hpp:42
armnn::LstmInputParamsInfo::GetInputToOutputWeights
const TensorInfo & GetInputToOutputWeights() const
Definition: LstmParams.hpp:133
armnn::BaseWorkload< QLstmQueueDescriptor >::m_Data
QLstmQueueDescriptor m_Data
Definition: Workload.hpp:89
armnn::QLstmQueueDescriptor::m_InputToOutputWeights
const ConstTensorHandle * m_InputToOutputWeights
Definition: WorkloadData.hpp:592
armnn::QLstmDescriptor::m_HiddenStateZeroPoint
int32_t m_HiddenStateZeroPoint
Hidden State zero point.
Definition: Descriptors.hpp:1434
armnn::LstmInputParamsInfo::GetOutputGateBias
const TensorInfo & GetOutputGateBias() const
Definition: LstmParams.hpp:177
armnn::LstmInputParamsInfo::GetCellToOutputWeights
const TensorInfo & GetCellToOutputWeights() const
Definition: LstmParams.hpp:161
NeonWorkloadUtils.hpp
armnn::QLstmDescriptor::m_CifgEnabled
bool m_CifgEnabled
Enable/disable CIFG (coupled input & forget gate).
Definition: Descriptors.hpp:1418
armnn::LstmInputParamsInfo::GetOutputLayerNormWeights
const TensorInfo & GetOutputLayerNormWeights() const
Definition: LstmParams.hpp:201
armnn
Copyright (c) 2021 ARM Limited and Contributors.
Definition: 01_00_quick_start.dox:6
armnn::LstmInputParamsInfo
Definition: LstmParams.hpp:63
armnn::QLstmDescriptor::m_HiddenStateScale
float m_HiddenStateScale
Hidden State quantization scale.
Definition: Descriptors.hpp:1436
ArmComputeTensorUtils.hpp
armnn::QLstmQueueDescriptor::m_ProjectionBias
const ConstTensorHandle * m_ProjectionBias
Definition: WorkloadData.hpp:605
armnn::QLstmQueueDescriptor::m_CellToInputWeights
const ConstTensorHandle * m_CellToInputWeights
Definition: WorkloadData.hpp:597
armnn::QLstmDescriptor::m_CellClip
float m_CellClip
Clipping threshold value for the cell state.
Definition: Descriptors.hpp:1414
armnn::QLstmDescriptor::m_LayerNormEnabled
bool m_LayerNormEnabled
Enable/disable layer normalization.
Definition: Descriptors.hpp:1424
armnn::LstmInputParamsInfo::GetProjectionWeights
const TensorInfo & GetProjectionWeights() const
Definition: LstmParams.hpp:181
armnn::QLstmQueueDescriptor::m_CellBias
const ConstTensorHandle * m_CellBias
Definition: WorkloadData.hpp:602
ARMNN_SCOPED_PROFILING_EVENT_NEON_NAME_GUID
#define ARMNN_SCOPED_PROFILING_EVENT_NEON_NAME_GUID(label)
Creates a profiling event that uses GetGuid() and GetName() from the calling class.
Definition: NeonWorkloadUtils.hpp:32
armnn::QLstmQueueDescriptor::m_InputToCellWeights
const ConstTensorHandle * m_InputToCellWeights
Definition: WorkloadData.hpp:591
armnn::NeonQLstmWorkload::NeonQLstmWorkload
NeonQLstmWorkload(const QLstmQueueDescriptor &descriptor, const WorkloadInfo &info)
Definition: NeonQLstmWorkload.cpp:17
armnn::LstmInputParamsInfo::m_ProjectionBias
const TensorInfo * m_ProjectionBias
Definition: LstmParams.hpp:105
armnn::QLstmDescriptor::m_PeepholeEnabled
bool m_PeepholeEnabled
Enable/disable peephole.
Definition: Descriptors.hpp:1420
armnn::LstmInputParamsInfo::GetForgetLayerNormWeights
const TensorInfo & GetForgetLayerNormWeights() const
Definition: LstmParams.hpp:193
armnn::NeonBaseWorkload
Definition: NeonBaseWorkload.hpp:13
armnn::QLstmQueueDescriptor::m_CellLayerNormWeights
const ConstTensorHandle * m_CellLayerNormWeights
Definition: WorkloadData.hpp:608
armnn::LstmInputParamsInfo::GetCellLayerNormWeights
const TensorInfo & GetCellLayerNormWeights() const
Definition: LstmParams.hpp:197
armnn::QueueDescriptor::m_Inputs
std::vector< ITensorHandle * > m_Inputs
Definition: WorkloadData.hpp:26
armnn::QLstmQueueDescriptor::m_RecurrentToCellWeights
const ConstTensorHandle * m_RecurrentToCellWeights
Definition: WorkloadData.hpp:595
armnn::LstmInputParamsInfo::GetInputToForgetWeights
const TensorInfo & GetInputToForgetWeights() const
Definition: LstmParams.hpp:125
armnn::NeonQLstmWorkload::Execute
virtual void Execute() const override
Definition: NeonQLstmWorkload.cpp:237