ngraph-to-plaidml.cpp 4.36 KB
Newer Older
1
//*****************************************************************************
2
// Copyright 2017-2019 Intel Corporation
3 4 5 6 7 8 9 10 11 12 13 14 15
//
// Licensed under the Apache License, Version 2.0 (the "License");
// you may not use this file except in compliance with the License.
// You may obtain a copy of the License at
//
//     http://www.apache.org/licenses/LICENSE-2.0
//
// Unless required by applicable law or agreed to in writing, software
// distributed under the License is distributed on an "AS IS" BASIS,
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
// See the License for the specific language governing permissions and
// limitations under the License.
//*****************************************************************************
16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144

#include <getopt.h>

#include <iostream>
#include <memory>

#include "ngraph/file_util.hpp"
#include "ngraph/runtime/plaidml/plaidml_backend.hpp"
#include "ngraph/serializer.hpp"

static const struct option opts[] = {{"backend", required_argument, nullptr, 'b'},
                                     {"format", required_argument, nullptr, 'f'},
                                     {"help", no_argument, nullptr, 'h'},
                                     {nullptr, 0, nullptr, '\0'}};

int main(int argc, char** argv)
{
    int opt;
    bool err = false;
    bool usage = false;
    std::string model;
    std::string output;
    std::string backend_name = "PlaidML";
    plaidml_file_format format = PLAIDML_FILE_FORMAT_TILE;

    while ((opt = getopt_long(argc, argv, "f:b:h", opts, nullptr)) != -1)
    {
        switch (opt)
        {
        case 'b': backend_name = optarg; break;
        case 'h': usage = true; break;
        case 'f':
            if (!strcmp(optarg, "tile"))
            {
                format = PLAIDML_FILE_FORMAT_TILE;
            }
            else if (!strcmp(optarg, "human"))
            {
                format = PLAIDML_FILE_FORMAT_STRIPE_HUMAN;
            }
            else if (!strcmp(optarg, "prototxt"))
            {
                format = PLAIDML_FILE_FORMAT_STRIPE_PROTOTXT;
            }
            else if (!strcmp(optarg, "binary"))
            {
                format = PLAIDML_FILE_FORMAT_STRIPE_BINARY;
            }
            else
            {
                err = true;
            }
            break;
        case '?':
        default: err = true; break;
        }
    }

    if (optind + 2 != argc)
    {
        err = true;
    }
    else
    {
        model = argv[optind];
        output = argv[optind + 1];

        if (model.empty())
        {
            err = true;
        }
        else if (!ngraph::file_util::exists(model))
        {
            std::cerr << "File " << model << " not found\n";
            err = true;
        }

        if (output.empty())
        {
            err = true;
        }
        else if (ngraph::file_util::exists(output))
        {
            std::cerr << "File " << output << " already exists; not overwriting\n";
            err = true;
        }
    }

    if (backend_name.substr(0, backend_name.find(':')) != "PlaidML")
    {
        std::cerr << "Unsupported backend: " << backend_name << "\n";
        err = true;
    }

    if (err || usage)
    {
        std::cerr << R"###(
DESCRIPTION
       Convert an ngraph JSON model to one of PlaidML's file formats.

SYNOPSIS
       ngraph-to-plaidml [--backend|-b <backend>] MODEL OUTPUT

OPTIONS
        -b|--backend      Backend to use (default: PlaidML)
        -f|--format       Format to use (tile, human, prototxt, binary, or json; default: tile)
)###";
    }
    if (err)
    {
        return EXIT_FAILURE;
    }
    if (usage)
    {
        return EXIT_SUCCESS;
    }

    std::cerr << "Reading nGraph model from " << model << "\n";
    std::shared_ptr<ngraph::Function> f = ngraph::deserialize(model);
    std::shared_ptr<ngraph::runtime::Backend> base_backend =
        ngraph::runtime::Backend::create(backend_name);
    std::shared_ptr<ngraph::runtime::plaidml::PlaidML_Backend> backend =
        std::dynamic_pointer_cast<ngraph::runtime::plaidml::PlaidML_Backend>(base_backend);
    if (!backend)
    {
        std::cerr << "Failed to load PlaidML backend\n";
        return EXIT_FAILURE;
    }

145
    auto exec = backend->compile(f);
146 147
    static_cast<ngraph::runtime::plaidml::PlaidML_Executable*>(exec.get())
        ->save_as_format(output, format);
148
    std::cerr << "Wrote output to " << output << "\n";
149

150 151
    return EXIT_SUCCESS;
}