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Precision problem: There is a large error between IR inference in 'GNA_SW_FP32’ and ‘GNA_HW’

tea6329714
Beginner
297 Views

+ Description:

   There is a large error between IR inference in ‘GNA_SW_FP32’ and ‘GNA_HW’.

+ Question:

  *Q1: Is the result (description)reasonable’ ?

  *Q2: If the result is not reasonable, can I get a chance to make the result reasonable?

 

+ Sample code: attached file

  * requirement  packages        : VEN_requirement_date20211129.txt

  * Script 1 (GNA_HW)               : Issue00_GNAPrecisionIssue_Infer_GNA_HW.ipynb

  * Script 2 (GNA_SW_FP32)    : Issue00_GNAPrecisionIssue_Infer_GNA_SW_FP32.ipynb

  * LSTM( Pytorh)                        : Export_Main00\CPU_TraceONNX_LSTM_CellTEST

  * LSTM(ONNX from Pytorh)  : Export_Main00\CPU_TraceONNX_LSTM_CellTEST.onnx

  * LSTM(IR)                                 : CPU_TraceONNX_LSTM_CellTEST.xml

  * LSTM(IR)                                 : CPU_TraceONNX_LSTM_CellTEST.bin

 

 +Example & Test:

  * Input: A tensor with the shape [batch size :1,  time step:33,  feature bins:257].

  * Test 1: Inference LSTM_Torch with the precision FP32, and the result is 0.0487.

  * Test 2: Inference LSTM_Onnx with the precision FP32, and the result is 0.0487.

  * Test 3: Inference LSTM _IR with mode ‘GNA_SW_FP32’, and the result is 0.0487.

  * Test 4: Inference LSTM _IR with mode ‘GNA_HW’, and the result is 0.0043.

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2 Replies
Peh_Intel
Moderator
230 Views

Hi tea6329714,

 

Thanks for reaching out to us and sharing your findings with us.

 

I also get the same results as you.

GNA_SW_FP32  =   0.0487404465675354

GNA_HW            =   0.0043923864141106606

GNA_PRECISION.PNG

 

Besides, I also try with other execution modes (GNA_AUTO, GNA_SW_EXACT,GNA_HW_WITH_SW_FBACK) but all of these modes getting the same precision, 0.0043923864141106606.

 

Looking at the description of Execution Modes, it might be reasonable as executing in GNA_SW_FP32 execution mode, GNA-compiled graph is executed on CPU but substitutes parameters and calculations from low precision to floating point (FP32). While looking at the Supported Configuration Parameters, the GNA_PRECISION is in I16 (default value).

 

 

Regards,

Peh

 

Peh_Intel
Moderator
196 Views

Hi tea6329714,


This thread will no longer be monitored since we have provided an answer. If you need any additional information from Intel, please submit a new question. 



Regards,

Peh


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