def __call__(self, path, input_shapes=None):
compressed = os.path.splitext(path) in ['tgz', 'gz'
] and not os.path.isdir(path)
folder = None
try:
if compressed:
folder = tempfile.mkdtemp(prefix="nnef_")
tgz_extract(path, folder)
path = folder
if not os.path.isdir(path):
raise IOError(
"NNEF model must be a (compressed) folder, but an uncompressed file was provided"
)
nnef_graph = nnef.load_graph(path,
stdlib=self._stdlib,
lowered=self._decomposed)
if self._infer_shapes:
nnef.infer_shapes(nnef_graph,
external_shapes=input_shapes or {},
custom_shapes=self._custom_shapes or {})
return _build_graph(nnef_graph)
finally:
if folder is not None:
shutil.rmtree(folder)
def test_reshape(self):
graph = nnef.parse_string("""
version 1.0;
graph G( input ) -> ( output )
{
input = external(shape = [1,2,3,4]);
output = reshape(input, axis_start = 1, axis_count = 2, shape = [6]);
}
""")
nnef.infer_shapes(graph)
def nnef2ir(inputFolder, outputFolder):
nnef_graph = nnef.load_graph(inputFolder)
nnef.infer_shapes(nnef_graph)
graph = nnef_graph_to_ir_graph(nnef_graph)
graph.toFile(outputFolder)
import nnef
def shuffle_shape(input, groups):
assert input[
1] % groups == 0, "input channels ({}) is not divisible by groups ({})".format(
input[1], groups)
return input
graph = nnef.parse_string("""
version 1.0;
extension KHR_enable_fragment_definitions;
fragment shuffle<?>( input: tensor<?>, groups: integer ) -> ( output: tensor<?> );
graph Net( input ) -> ( output )
{
input = external(shape = [1,3,224,224]);
filter = variable(shape = [32,3,5,5], label = 'conv/filter');
conv = conv(input, filter);
output = shuffle(conv, groups = 4);
}
""")
nnef.infer_shapes(graph, custom_shapes={'shuffle': shuffle_shape})
print(
nnef.format_graph(graph.name, graph.inputs, graph.outputs,
graph.operations))
args = ap.parse_args()
stdlib = ''
if args.stdlib:
try:
with open(args.stdlib) as file:
stdlib = file.read()
except FileNotFoundError as e:
print('Could not open file: ' + args.stdlib)
exit(-1)
try:
graph = nnef.load_graph(args.path,
stdlib=stdlib,
lowered=args.lower.split(','))
except nnef.Error as err:
print('Parse error: ' + str(err))
exit(-1)
if args.shapes:
try:
nnef.infer_shapes(graph)
except nnef.Error as err:
print('Shape error: ' + str(err))
exit(-1)
print(
nnef.format_graph(graph.name, graph.inputs, graph.outputs,
graph.operations))
print('Validation succeeded')
def infer_shapes(self, graph):
nnef.infer_shapes(graph=graph, custom_shapes=self._shapes)
return graph