Inspecting the Float Model - 3.0 English

model = tf.keras.models.load_model(‘float_model.h5’)
from tensorflow_model_optimization.quantization.keras import vitis_inspect
inspector = vitis_inspect.VitisInspector(target="DPUCADF8H_ISA0")
inspector.inspect_model(model, 
                        plot=True, 
                        plot_file="model.svg", 
                        dump_results=True, 
                        dump_results_file="inspect_results.txt", 
                        verbose=0)

target

string or None, the target DPU to deploy this model. It can be a name string (for example, DPUCAHX8L_ISA0), a JSON file path (for example, ./U50/arch.json) or a fingerprint. If set to None, no target will be applied and only some general, target-independent inspect results will be shown. The default value is None.

model

tf.keras.Model instance, the float model to be inspected. Float model should have concrete input shapes. Build the float model with concrete input shapes or call inspect_model with the input_shape argument.

input_shape

list(int) or list(list(int)) or tuple(int) or dictionary(int),  contains the input shape for each input layer. Use default shape info in the input layers if not set. Use list of shapes for multiple inputs, for example inspect_model(model, input_shape=[1, 224, 224, 3]) or inspect_model(model, input_shape=\[[None, 224, 224, 3], [None, 64, 1]]). All dimensions should have concrete values, and batch_size dimension should be None or int.  If the input shape of the model is variable like [None, None, None, 3], you need to specify a shape like [None, 224, 224, 3] to generate the final quantized model. The default value is None.

plot

bool, whether to plot the model inspect results by graphviz and save image to disk. It is helpful when you need to visualize the model inspection results together with some modification hints. Note that only part of output file types can show the hints, such as .svg.The default value is False.

plot_file

string, file path of model image file when plotting the model. The default value is model.svg.

dump_results

bool, whether to dump the inspect results and save text to disk. More detailed layer-by-layer results than screen logging will be dumped to the text file. The default value is False.

dump_results_file

string, file path of inspect results text file. The default value is inspect_results.txt.

verbose

int, the logging verbosity level. More detailed logging results will be shown for higher verbose value. The default value is 0.