MichaelJKlaiber commented on code in PR #12447:
URL: https://github.com/apache/tvm/pull/12447#discussion_r950688905
##########
python/tvm/testing/aot.py:
##########
@@ -931,20 +930,23 @@ def generate_ref_data(mod, input_data, params=None,
target="llvm"):
return dict(zip(output_tensor_names, out))
-def create_relay_module_and_inputs_from_tflite_file(tflite_model_file):
+def create_relay_module_and_inputs_from_tflite_file(tflite_model_file,
bind_params_by_name=True):
"""A helper function to create a Relay IRModule with inputs
and params from a tflite file"""
with open(tflite_model_file, "rb") as f:
tflite_model_buf = f.read()
- mod, params = convert_to_relay(tflite_model_buf)
+ mod, params = convert_to_relay(tflite_model_buf, bind_params_by_name)
inputs = dict()
for param in mod["main"].params:
name = str(param.name_hint)
data_shape = [int(i) for i in param.type_annotation.shape]
dtype = str(param.type_annotation.dtype)
- in_min, in_max = (np.iinfo(dtype).min, np.iinfo(dtype).max)
- data = np.random.randint(in_min, high=in_max, size=data_shape,
dtype=dtype)
+ if dtype == "float32":
Review Comment:
Done ...
what do you mean by "we'll probably need a commit message prior to merging"?
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