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A tensor is a vector or matrix of n-dimensions that represents all types of data. All values in a tensor hold identical data type with a known (or partially known) A tensor can be originated from the input data or the result of a computation. In TensorFlow, all the operations are conducted inside a graph.May 24, 2020 · test_image = np.expand_dims(test_image, axis=0) .astype(np.float32) interpreter.set_tensor(input_tensor_index, test_image) Next, we invoke the interpreter, i.e run inference on the model. interpreter.invoke() We then have to read the output tensor values and convert it back to a proper format.

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