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if (runtime_kind == runtime_kind::sycl)
return sycl::get_engine_factory(kind);
#endif
return nullptr;
}
} // namespace impl
} // namespace dnnl
using namespace dnnl::impl;
using namespace dnnl::impl::status;
using namespace dnnl::impl::utils;
size_t dnnl_engine_get_count(engine_kind_t kind) {
auto ef = get_engine_factory(kind, get_default_runtime(kind));
return ef != nullptr ? ef->count() : 0;
}
status_t dnnl_engine_create(
engine_t **engine, engine_kind_t kind, size_t index) {
if (engine == nullptr) return invalid_arguments;
auto ef = get_engine_factory(kind, get_default_runtime(kind));
if (ef == nullptr || index >= ef->count()) return invalid_arguments;
return ef->engine_create(engine, index);
}
status_t dnnl_engine_get_kind(engine_t *engine, engine_kind_t *kind) {
if (engine == nullptr) return invalid_arguments;
*kind = engine->kind();
return success;
}
status_t dnnl_engine_destroy(engine_t *engine) {
#ifdef DNNL_USE_RT_OBJECTS_IN_PRIMITIVE_CACHE
if (engine != nullptr) engine->release();
#else
delete engine;
#endif
return success;
}
// vim: et ts=4 sw=4 cindent cino+=l0,\:4,N-s
/*
* Copyright (c) Facebook, Inc. and its affiliates. * All rights reserved.
*
* This source code is licensed under the MIT-style license found in the
* LICENSE file in the root directory of this source tree.
*/
#include "flashlight/pkg/vision/models/Resnet50Backbone.h"
namespace fl {
namespace pkg {
namespace vision {
Resnet50Backbone::Resnet50Backbone()
: backbone_(std::make_shared<Sequential>()),
tail_(std::make_shared<Sequential>()) {
backbone_->add(ConvFrozenBatchNormActivation(3, 64, 7, 7, 2, 2));
// maxpool -> 112x122x64 -> 56x56x64
backbone_->add(Pool2D(3, 3, 2, 2, -1, -1, PoolingMode::MAX));
// conv2_x -> 56x56x64 -> 56x56x64
backbone_->add(ResNetBottleneckStageFrozenBatchNorm(64, 64, 3, 1));
// conv3_x -> 56x56x64 -> 28x28x128
backbone_->add(ResNetBottleneckStageFrozenBatchNorm(64 * 4, 128, 4, 2));
// conv4_x -> 28x28x128 -> 14x14x256
backbone_->add(ResNetBottleneckStageFrozenBatchNorm(128 * 4, 256, 6, 2));
// conv5_x -> 14x14x256 -> 7x7x256
backbone_->add(ResNetBottleneckStageFrozenBatchNorm(256 * 4, 512, 3, 2));
tail_->add(Pool2D(7, 7, 1, 1, 0, 0, fl::PoolingMode::AVG_EXCLUDE_PADDING));
tail_->add(
ConvFrozenBatchNormActivation(512 * 4, 1000, 1, 1, 1, 1, false, false));
tail_->add(View({1000, -1}));
tail_->add(LogSoftmax());
add(backbone_);
add(tail_);
}
std::vector<Variable> Resnet50Backbone::forward(
const std::vector<Variable>& input) {
const auto& features = module(0)->forward(input);
const auto& output = module(1)->forward(features);
return {output[0], features[0]};
}
std::string Resnet50Backbone::prettyString() const {
return "Resnet50Backbone";
}
} // namespace vision
} // namespace pkg
} // namespace fl
#include "PrecompiledHeaders.h"