#!/usr/bin/python3

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""" Layer output

Illustrates writing the outputs of intermediate layers in the network to file.
"""

import argparse

from tidl import DeviceId, DeviceType, Configuration, Executor, TidlError
from tidl import allocate_memory, free_memory

from tidl_app_utils import read_frame


def main():
    """ Parse arguments, read configuration and run network"""

    parser = argparse.ArgumentParser(description=
                                     'Dump output of each network layer to file.')
    parser.add_argument(
        '-c', '--config_file',
        default='../test/testvecs/config/infer/tidl_config_j11_v2.txt',
        help='Path to TIDL config file')

    args = parser.parse_args()

    # Run network for 1 frame since we interested in intermediate layer outputs
    num_frames = 1

    # Read configuration from file
    configuration = Configuration()
    configuration.read_from_file(args.config_file)
    configuration.enable_layer_dump = True
    configuration.num_frames = num_frames

    num_dsp = Executor.get_num_devices(DeviceType.DSP)
    num_eve = Executor.get_num_devices(DeviceType.EVE)

    if num_dsp == 0 and num_eve == 0:
        print('No TIDL API capable devices available')
        return

    if num_eve > 0:
        device_type = DeviceType.EVE
    else:
        device_type = DeviceType.DSP

    # Since we are dumping layer outputs, just run on one device
    run(device_type, 1, configuration)


def run(device_type, num_devices, configuration):
    """ Run the network on a single device and dump output of each layer"""

    print('Running network on {} {}'.format(num_devices, device_type))

    device_ids = set([DeviceId.ID0])

    try:
        print('TIDL API: performing one time initialization ...')

        executor = Executor(device_type, device_ids, configuration, 1)

        # Collect all EOs from EVE and DSP executors
        eos = []
        for i in range(executor.get_num_execution_objects()):
            eos.append(executor.at(i))

        allocate_memory(eos)

        # Open input, output files
        f_in = open(configuration.in_data, 'rb')


        print('TIDL API: processing input frames ...')

        num_eos = len(eos)
        for frame_index in range(configuration.num_frames+num_eos):
            execution_object = eos[frame_index % num_eos]

            if execution_object.process_frame_wait():
                execution_object.write_layer_outputs_to_file()

            if read_frame(execution_object, frame_index, configuration, f_in):
                execution_object.process_frame_start_async()

        f_in.close()

        free_memory(eos)
    except TidlError as err:
        print(err)


if __name__ == '__main__':
    main()