The MIOpenDriver
enables the user to test the functionality of any particular
layer in MIOpen in both the forward and backward direction. MIOpen is shipped with MIOpenDriver
and its install directory is miopen/bin
located in the install directory path.
MIOpenDriver can be build by typing:
make MIOpenDriver
from the build
directory.
All the supported layers in MIOpen can be found by the supported base_args
here:
./bin/MIOpenDriver --help
The supported base arguments:
conv
- ConvolutionsCBAInfer
- Convolution+Bias+Activation fusions for inferencepool
- Poolinglrn
- Local Response Normalizationactiv
- Activationssoftmax
- Softmaxbnorm
- Batch Normalizationrnn
- Recurrent Neural Networks (including LSTM and GRU)gemm
- General Matrix Multiplicationctc
- CTC Loss Function
These base arguments support fp32 float type, but some of the drivers suport further datatypes -- specifically, half precision (fp16), brain float16 (bfp16), and 8-bit integers (int8).
To toggle half precision simpily add the suffix fp16
to end of the base argument; e.g., convfp16
.
Likewise, to toggle brain float16 just add the suffix bfp16
, and to use 8-bit integers add int8
.
Notes for this release:
- Only convolutions support bfp16 and int8
- RNN's support fp16 but only on the HIP backend
- CTC loss function only supports fp32
Summary of base_args meant for different datatypes and different operations:
To execute from the build directory:
./bin/MIOpenDriver *base_arg* *layer_specific_args*
Or to execute the default configuration simpily run:
./bin/MIOpenDriver *base_arg*
MIOpenDriver example usages:
- Convolution with search on:
./bin/MIOpenDriver conv -W 32 -H 32 -c 3 -k 32 -x 5 -y 5 -p 2 -q 2
- Forward convolution with search off:
./bin/MIOpenDriver conv -W 32 -H 32 -c 3 -k 32 -x 5 -y 5 -p 2 -q 2 -s 0 -F 1
- Convolution with half or bfloat16 input type
./bin/MIOpenDriver convfp16 -W 32 -H 32 -c 3 -k 32 -x 5 -y 5 -p 2 -q 2 -s 0 -F 1
./bin/MIOpenDriver convbfp16 -W 32 -H 32 -c 3 -k 32 -x 5 -y 5 -p 2 -q 2 -s 0 -F 1
- Pooling with default parameters:
./bin/MIOpenDriver pool
- LRN with default parameters and timing on:
./bin/MIOpenDriver lrn -t 1
- Batch normalization with spatial fwd train, saving mean and variance tensors:
./bin/MIOpenDriver bnorm -F 1 -n 32 -c 512 -H 16 -W 16 -m 1 -s 1
- RNN with forward and backwards pass, no bias, bi-directional and LSTM mode
./bin/MIOpenDriver rnn -n 4,4,4,3,3,3,2,2,2,1 -k 10 -H 512 -W 1024 -l 3 -F 0 -b 0 -r 1 -m lstm
- Printout layer specific input arguments:
./bin/MIOpenDriver *base_arg* -?
OR ./bin/MIOpenDriver *base_arg* -h (--help)
Note: By default the CPU verification is turned on. Verification can be disabled using -V 0
.