array([3.0, 1.0]) outputs[layer.get_output(0).name] = layer.get_output(0).shape expected[layer.get_output(0).name] = np.array([[0.0, 1.0, 2.0], [3.0, 4.0, 5.0]]) Fill Random alpha = network.add_input("alpha", dtype=trt.float32, shape=()) beta = network.add_input("...
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(2,3),op=trt.FillOperation.RANDOM_UNIFORM)layer.set_input(1,alpha)layer.set_input(2,beta)network.mark_output(layer.get_output(0))inputs[alpha.name]=np.array([2.0])inputs[beta.name]=np.array([3.0])outputs[layer.get_output(0).name]=layer.get_output(0).shape# note: expected values...
array([3.0, 1.0]) outputs[layer.get_output(0).name] = layer.get_output(0).shape expected[layer.get_output(0).name] = np.array([[0.0, 1.0, 2.0], [3.0, 4.0, 5.0]]) Fill Random alpha = network.add_input("alpha", dtype=trt.float32, shape=()) beta = network.add_input("...
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