neil-tan

from ..DNAS.search_space import SearchSpace
from ..DNAS.modules import ReshapeFC, Identity, Resizer, ConvBlock1D, SinBlock, ConvBlock2D, ConvChannel2D
from ..DNAS.modules import Resizer, MixedOp
from ..DNAS.super_net import DNAS
from ..fermi_datasets import FashionMNISTDataModule
from ..DNAS.entryNode import DataModuleWrapper

import pytorch_lightning as pl
from pytorch_lightning import seed_everything

neil-tan

# Example/Test Case
def test_reverse_arg_dict_multi(capsys):
  def dummy_func(a, b=1, c=2, d=3):
    assert a == 10
    assert b == 20
    assert c == 30
    assert d == 40
  
  arg_tester = ArgDict()
  arg_tester.append(10, 20)

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// Assume Initialized memory allocators 
  // Create a 2x2 Tensor from data owned by the user
  int8_t my_input_buffer[4] = {1, 2, 3, 4};
  Tensor a = new BufferTensor({2, 2}, i8, my_input_buffer);

  // Update a value in our buffer.
  my_input_buffer[3] = 5;

  // Create Tensors of int8_t from const static arrays in ROM
  Tensor b = new RomTensor({2, 2}, i8, array_of_values_b);

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#include "models/deep_mlp.hpp"  //gernerated model file
#include "tensor.hpp"  //useful tensor classes
#include "mbed.h"
#include <stdio.h>
#include "input_data.h"  //contains the first sample taken from the MNIST test set

Serial pc(USBTX, USBRX, 115200);  //baudrate := 115200

int main(void) {
  printf("Simple MNIST end-to-end uTensor cli example (device)\n");

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   const float input_data [ 784 ] = { 0.00000,   0.00000,   0.00000,   0.00000,   0.00000,   0.00000,   0.00000,   0.00000,   0.00000,   0.00000,   0.00000,   0.00000,   0.00000,   0.00000,   0.00000,   0.00000,   0.00000,   0.00000,   0.00000,   0.00000,   0.00000,   0.00000,   0.00000,   0.00000,   0.00000,   0.00000,   0.00000,   0.00000,   0.00000,   0.00000,   0.00000,   0.00000,   0.00000,   0.00000,   0.00000,   0.00000,   0.00000,   0.00000,   0.00000,   0.00000,   0.00000,   0.00000,   0.00000,   0.00000,   0.00000,   0.00000,   0.00000,   0.00000,   0.00000,   0.00000,   0.00000,   0.00000,   0.00000,   0.00000,   0.00000,   0.00000,   0.00000,   0.00000,   0.00000,   0.00000,   0.00000,   0.00000,   0.00000,   0.00000,   0.00000,   0.00000,   0.00000,   0.00000,   0.00000,   0.00000,   0.00000,   0.00000,   0.00000,   0.00000,   0.00000,   0.00000,   0.00000,   0.00000,   0.00000,   0.00000,   0.00000,   0.00000,   0.00000,   0.00000,   0.00000,   0.00000,   0.00000,   0.00000,   0.00000,   0.

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neil-tan

#!/usr/bin/python
# -*- coding: utf8 -*-
"""
# This script is based on:
# https://www.tensorflow.org/get_started/mnist/pros
# see https://github.com/uTensor/utensor-mnist-demo
"""
from __future__ import print_function
import argparse
import sys