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Cleanup
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@@ -40,6 +40,7 @@ class ONNXModel(RunModel):
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def __init__(self, path, output, runtime, use_tf8, cl_context):
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self.inputs = {}
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self.output = output
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self.use_tf8 = use_tf8
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self.session = create_ort_session(path, fp16_to_fp32=True)
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self.input_names = [x.name for x in self.session.get_inputs()]
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@@ -63,7 +64,10 @@ class ONNXModel(RunModel):
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return None
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def execute(self):
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inputs = {k: v.view(self.input_dtypes[k]) for k,v in self.inputs.items()}
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# The input below causes issues because its converting the input data when in reality it doesn't need conversion as it was already the target type.
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# I am leaving this comment and the input down because this needs to be looked before merging. I had similar issues when trying the tinygrad runner...
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# inputs = {k: v.view(self.input_dtypes[k]) for k,v in self.inputs.items()}
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inputs = {k: (v.view(np.uint8) / 255. if self.use_tf8 and k == 'input_img' else v) for k,v in self.inputs.items()}
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inputs = {k: v.reshape(self.input_shapes[k]).astype(self.input_dtypes[k]) for k,v in inputs.items()}
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outputs = self.session.run(None, inputs)
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assert len(outputs) == 1, "Only single model outputs are supported"
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