MLBEDSW-4838 Added basic TOSA support.
Added basic TOSA support, enabling Vela to
read and compile a .tosa file corresponding to
CONV2D + Rescale + Clamp, and writing it to an
optimized .tflite file.
The optimized .tflite file, will in this case, hold
a commandstream where the Rescale and Clamp has been
fused into the CONV2D.
The optimized tflite file is not output from Vela.
-Added support to read .tosa file into Vela
internal structure.
- Added tosa_reader.py, tosa_mapper.py and
helper files stored under tosa/
- Support for this limited to ~10 ops
-Added reader_util.py for functions common
for TOSA and TFLite
-Added tosa_graph_optimiser.py
-Added support to fuse Rescale into convolution
-Modified handling for padding
-Added support to fuse Clamp to previous op
-Added graph_optimiser_util.py
-Moved functions common for TOSA/TFLite graph
optimization to this file.
-Renamed graph_optimiser.py to tflite_graph_optmiser.py
-Added separate tosa_supported_operators.py
-Added supported_operator_util.py
-For functions in common for TOSA/TFLite
Signed-off-by: Patrik Gustavsson <patrik.gustavsson@arm.com>
Change-Id: Ic3c540504ec8c5eb4771397fdc6882050ecf33ab
diff --git a/ethosu/vela/vela.py b/ethosu/vela/vela.py
index f552b21..ecdc7aa 100644
--- a/ethosu/vela/vela.py
+++ b/ethosu/vela/vela.py
@@ -54,7 +54,7 @@
output_basename = os.path.join(compiler_options.output_dir, os.path.splitext(os.path.basename(input_name))[0])
DebugDatabase.show_warnings = enable_debug_db
- nng = model_reader.read_model(input_name, model_reader_options)
+ nng, network_type = model_reader.read_model(input_name, model_reader_options)
if not nng:
raise InputFileError(input_name, "Input file could not be read")
@@ -67,7 +67,7 @@
print("Model reading took %f s" % (stop - start))
start = time.time()
- compiler_driver.compiler_driver(nng, arch, compiler_options, scheduler_options)
+ compiler_driver.compiler_driver(nng, arch, compiler_options, scheduler_options, network_type)
summary_csv_file = "{0}_summary_{1}.csv".format(output_basename, arch.system_config)
stats_writer.write_summary_metrics_csv(nng, summary_csv_file, arch)