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/* \file
   \brief Bind convolution related enum types to python
*/
#pragma once
#include <pybind11/pybind11.h>
#include <pybind11/stl_bind.h>

#include "conv_problem_size.h"
#include "host.h"
#include "cutlass/conv/convolution.h"

namespace py = pybind11;

void bind_convolution(py::module &m) {
    //
    // Enumerate types
    // cutlass/include/cutlass/conv/convolution.h
    //

    /// Convolutional operator
    py::enum_<cutlass::conv::Operator>(m, "Operator", R"pbdoc(Convolutional operator)pbdoc")
        .value("fprop", cutlass::conv::Operator::kFprop, "Forward propagation")
        .value("dgrad", cutlass::conv::Operator::kDgrad, "Activation grad")
        .value("wgrad", cutlass::conv::Operator::kWgrad, "Weight grad");

    /// Distinguishes convolution  from cross correlation
    py::enum_<cutlass::conv::Mode>(m, "Mode")
        .value("cross_correlation", cutlass::conv::Mode::kCrossCorrelation)
        .value("convolution", cutlass::conv::Mode::kConvolution);
    
    /// Selects among several implementation variants trading off performance with simplicity
    py::enum_<cutlass::conv::IteratorAlgorithm>(m, "IteratorAlgorithm",
        R"pbdoc(Selects among several implementation variants trading off performance with simplicity)pbdoc")
        .value("analytic", cutlass::conv::IteratorAlgorithm::kAnalytic, R"pbdoc(functionally correct in all cases but lower performance)pbdoc")
        .value("optimized", cutlass::conv::IteratorAlgorithm::kOptimized, R"pbdoc(optimized for R <= 32, S <= 32 and unity-stride dgrad)pbdoc")
        .value("fixed_channels", cutlass::conv::IteratorAlgorithm::kFixedChannels, R"pbdoc(Analytic algorithm optimized for fixed channel count (C == AccessSize))pbdoc")
        .value("few_channels", cutlass::conv::IteratorAlgorithm::kFewChannels, R"pbdoc(Analytic algorithm optimized for few channels (C divisible by AccessSize))pbdoc");
    
    /// Distinguishes among partial specializations that accelerate certain problems where convolution
    /// stride is unit.
    py::enum_<cutlass::conv::StrideSupport>(m, "StrideSupport",
        R"pbdoc(Distinguishes among partial specializations that accelerate certain problems where convolution
        stride is unit.)pbdoc")
        .value("strided", cutlass::conv::StrideSupport::kStrided, R"pbdoc(arbitrary convolution stride)pbdoc")
        .value("unity", cutlass::conv::StrideSupport::kUnity, R"pbdoc(unit convolution stride)pbdoc");
    
    /// Identifies split-K mode
    py::enum_<cutlass::conv::SplitKMode>(m, "SplitKMode")
        .value("None", cutlass::conv::SplitKMode::kNone)
        .value("Serial", cutlass::conv::SplitKMode::kSerial)
        .value("Parallel", cutlass::conv::SplitKMode::kParallel);
    
    // Conv problem sizes
    bind_conv_problem_size(m);

    //
    // host helper functions
    //
    py::module_ host_submodule = m.def_submodule("host");
    bind_conv_host_helper(host_submodule);
}