frugally-deep/0.16.0

Use Keras models in C++ with ease.
header-onlykerastensorflow
Recipe info
MIT
View recipe on GitHub
github.com/Dobiasd/fr...
2024-04-17
ca510416940ee61c1c0...
Available packages
Header Only
Install
Add the following line to your conanfile.txt:
[requires]
frugally-deep/0.16.0

Using frugally-deep

Note

If you are a new Conan user, we recommend reading the how to consume packages tutorial.

If you need additional assistance, please ask a question in the Conan Center Index repository.

Simplest use case consuming this recipe and assuming CMake as your local build tool:

[requires]
frugally-deep/0.16.0
[generators]
CMakeDeps
CMakeToolchain
[layout]
cmake_layout
from conan import ConanFile
from conan.tools.cmake import cmake_layout


class ExampleRecipe(ConanFile):
    settings = "os", "compiler", "build_type", "arch"
    generators = "CMakeDeps", "CMakeToolchain"

    def requirements(self):
        self.requires("frugally-deep/0.16.0")

    def layout(self):
        cmake_layout(self)

Now, you can run this Conan command to locally install (and build if necessary) this recipe and its dependencies (if any):

$ conan install conanfile.txt --build=missing

Useful information to take into account to consume this library:


These are the main declared targets:

  • CMake package name(s): frugally-deep
  • CMake target name(s): frugally-deep::fdeep
  • pkg-config file name(s): frugally-deep.pc

A simple use case using the CMake file name and the global target:

# ...
find_package(frugally-deep REQUIRED)
# ...
target_link_libraries(YOUR_TARGET frugally-deep::fdeep)

These are all the available headers. Some of these ones might be non-public; make sure of it by visiting the frugally-deep homepage listed above:

#include "fdeep/base64.hpp"
#include "fdeep/common.hpp"
#include "fdeep/convolution.hpp"
#include "fdeep/convolution3d.hpp"
#include "fdeep/depthwise_convolution.hpp"
#include "fdeep/fdeep.hpp"
#include "fdeep/filter.hpp"
#include "fdeep/import_model.hpp"
#include "fdeep/layers/activation_layer.hpp"
#include "fdeep/layers/add_layer.hpp"
#include "fdeep/layers/additive_attention_layer.hpp"
#include "fdeep/layers/attention_layer.hpp"
#include "fdeep/layers/average_layer.hpp"
#include "fdeep/layers/average_pooling_3d_layer.hpp"
#include "fdeep/layers/batch_normalization_layer.hpp"
#include "fdeep/layers/category_encoding_layer.hpp"
#include "fdeep/layers/centercrop_layer.hpp"
#include "fdeep/layers/concatenate_layer.hpp"
#include "fdeep/layers/conv_2d_layer.hpp"
#include "fdeep/layers/cropping_3d_layer.hpp"
#include "fdeep/layers/dense_layer.hpp"
#include "fdeep/layers/depthwise_conv_2d_layer.hpp"
#include "fdeep/layers/dot_layer.hpp"
#include "fdeep/layers/elu_layer.hpp"
#include "fdeep/layers/embedding_layer.hpp"
#include "fdeep/layers/exponential_layer.hpp"
#include "fdeep/layers/flatten_layer.hpp"
#include "fdeep/layers/gelu_layer.hpp"
#include "fdeep/layers/global_average_pooling_3d_layer.hpp"
#include "fdeep/layers/global_max_pooling_3d_layer.hpp"
#include "fdeep/layers/global_pooling_layer.hpp"
#include "fdeep/layers/hard_sigmoid_layer.hpp"
#include "fdeep/layers/input_layer.hpp"
#include "fdeep/layers/layer.hpp"
#include "fdeep/layers/layer_normalization_layer.hpp"
#include "fdeep/layers/leaky_relu_layer.hpp"
#include "fdeep/layers/linear_layer.hpp"
#include "fdeep/layers/max_pooling_3d_layer.hpp"
#include "fdeep/layers/maximum_layer.hpp"
#include "fdeep/layers/minimum_layer.hpp"
#include "fdeep/layers/model_layer.hpp"
#include "fdeep/layers/multi_head_attention_layer.hpp"
#include "fdeep/layers/multiply_layer.hpp"
#include "fdeep/layers/normalization_layer.hpp"
#include "fdeep/layers/permute_layer.hpp"
#include "fdeep/layers/pooling_3d_layer.hpp"
#include "fdeep/layers/prelu_layer.hpp"
#include "fdeep/layers/relu_layer.hpp"
#include "fdeep/layers/repeat_vector_layer.hpp"
#include "fdeep/layers/rescaling_layer.hpp"
#include "fdeep/layers/reshape_layer.hpp"
#include "fdeep/layers/resizing_layer.hpp"
#include "fdeep/layers/selu_layer.hpp"
#include "fdeep/layers/separable_conv_2d_layer.hpp"
#include "fdeep/layers/sigmoid_layer.hpp"
#include "fdeep/layers/softmax_layer.hpp"
#include "fdeep/layers/softplus_layer.hpp"
#include "fdeep/layers/softsign_layer.hpp"
#include "fdeep/layers/subtract_layer.hpp"
#include "fdeep/layers/swish_layer.hpp"
#include "fdeep/layers/tanh_layer.hpp"
#include "fdeep/layers/time_distributed_layer.hpp"
#include "fdeep/layers/unit_normalization_layer.hpp"
#include "fdeep/layers/upsampling_1d_layer.hpp"
#include "fdeep/layers/upsampling_2d_layer.hpp"
#include "fdeep/layers/zero_padding_3d_layer.hpp"
#include "fdeep/model.hpp"
#include "fdeep/node.hpp"
#include "fdeep/recurrent_ops.hpp"
#include "fdeep/shape2.hpp"
#include "fdeep/shape3.hpp"
#include "fdeep/tensor.hpp"
#include "fdeep/tensor_pos.hpp"
#include "fdeep/tensor_shape.hpp"
#include "fdeep/tensor_shape_variable.hpp"