// Copyright © Advanced Micro Devices, Inc., or its affiliates.
// SPDX-License-Identifier:  MIT

#pragma once

#include <hipdnn_frontend/attributes/{{ op.frontend.effective_attributes_include }}.hpp>
{% if op.data_fields_helper is defined and op.data_fields_helper %}
#include <hipdnn_frontend/detail/{{ op.data_fields_helper.include }}.hpp>
{% endif %}
{% for hdr in op.mode_field_backend_headers %}
#include "{{ hdr }}"
{% endfor %}
#include <hipdnn_frontend/detail/DescriptorHelpers.hpp>

namespace hipdnn_frontend::detail
{

// Builds a {{ op.effective_packer_operation_label }} operation descriptor from {{ op.frontend.attributes_class }}.
// Tensor descriptors are created/deduplicated via ensureAndSetTensorRef.
inline Error {{ op.frontend.packer_function }}(
    const graph::{{ op.frontend.attributes_class }}& attributes,
    std::unordered_map<int64_t, ScopedHipdnnBackendDescriptor>& tensorDescs,
    std::vector<ScopedHipdnnBackendDescriptor>& operations)
{
    // Create operation descriptor
    ScopedHipdnnBackendDescriptor opDesc({{ op.descriptor_type_enum }});
    if(!opDesc.valid())
    {
        return {ErrorCode::HIPDNN_BACKEND_ERROR,
                "Failed to create {{ op.effective_packer_operation_label }} operation descriptor"};
    }

    // Create tensor descriptors (if needed) and set them on the operation
{% set tf_map = op.tensor_field_frontend_map %}
{% for tf in op.tensor_fields %}
{% set ft = tf_map.get(tf.name) %}
{% if tf.required %}
    HIPDNN_CHECK_ERROR(ensureAndSetTensorRef(opDesc.get(),
                                             {{ op.operation_attr_prefix }}_{{ tf.attr_suffix }},
                                             attributes.{{ ft.effective_getter_name }}(),
                                             tensorDescs,
                                             "{{ op.effective_error_label }} {{ tf.attr_suffix }}"));
{% else %}
    HIPDNN_CHECK_ERROR(ensureAndSetOptionalTensorRef(opDesc.get(),
                                             {{ op.operation_attr_prefix }}_{{ tf.attr_suffix }},
                                             attributes.{{ ft.effective_getter_name }}(),
                                             tensorDescs,
                                             "{{ op.effective_error_label }} {{ tf.attr_suffix }}"));
{% endif %}
{% endfor %}

{% if op.data_fields_helper is defined and op.data_fields_helper %}
    // Pack shared {{ op.data_fields_helper.label }} parameters
    HIPDNN_CHECK_ERROR({{ op.data_fields_helper.pack_function }}(opDesc.get(), attributes, "{{ op.effective_error_label }}"));
{% else %}
    // Set {{ op.packer_params_label }} parameters
{% for df in op.data_fields %}
{% if df.is_vector %}
    HIPDNN_CHECK_ERROR(setDescriptorAttrVec(opDesc.get(),
                                            {{ df.attr_name }},
                                            {{ df.backend_type }},
                                            attributes.{{ df.frontend_getter }},
                                            "{{ op.effective_error_label }} {{ df.name }}"));
{% elif df.is_mode %}
{% if df.frontend_returns_optional %}

    // Set {{ op.effective_error_label }} mode
    {
        auto {{ df.camel_name }}Opt = attributes.{{ df.frontend_getter }};
        if(!{{ df.camel_name }}Opt.has_value())
        {
            return {ErrorCode::INVALID_VALUE, "{{ df.name | replace('_', ' ') }} not set"};
        }
        auto {{ df.camel_name }} = hipdnn_frontend::{{ df.backend_converter }}(*{{ df.camel_name }}Opt);
{% if df.mode_converter_returns_optional %}
        if(!{{ df.camel_name }}.has_value())
        {
            return {ErrorCode::INVALID_VALUE, "Unsupported {{ df.name | replace('_', ' ') }}"};
        }
        HIPDNN_CHECK_ERROR(setDescriptorAttrScalar(
            opDesc.get(), {{ df.attr_name }}, {{ df.backend_type }}, *{{ df.camel_name }}, "{{ op.effective_error_label }} mode"));
{% else %}
        HIPDNN_CHECK_ERROR(setDescriptorAttrScalar(
            opDesc.get(), {{ df.attr_name }}, {{ df.backend_type }}, {{ df.camel_name }}, "{{ op.effective_error_label }} mode"));
{% endif %}
    }
{% else %}

    // Set {{ op.effective_error_label }} mode
    auto {{ df.camel_name }} = hipdnn_frontend::{{ df.backend_converter }}(attributes.{{ df.frontend_getter }});
{% if df.mode_converter_returns_optional %}
    if(!{{ df.camel_name }}.has_value())
    {
        return {ErrorCode::INVALID_VALUE, "Unsupported {{ df.name | replace('_', ' ') }}"};
    }
    HIPDNN_CHECK_ERROR(setDescriptorAttrScalar(
        opDesc.get(), {{ df.attr_name }}, {{ df.backend_type }}, *{{ df.camel_name }}, "{{ op.effective_error_label }} mode"));
{% else %}
    HIPDNN_CHECK_ERROR(setDescriptorAttrScalar(
        opDesc.get(), {{ df.attr_name }}, {{ df.backend_type }}, {{ df.camel_name }}, "{{ op.effective_error_label }} mode"));
{% endif %}
{% endif %}
{% elif df.is_enum %}

    // Set {{ op.effective_error_label }} mode and compute data type
    auto {{ df.camel_name }}
        = static_cast<int64_t>(hipdnn_frontend::{{ df.frontend_converter }}(attributes.{{ df.frontend_getter }}));
    HIPDNN_CHECK_ERROR(setDescriptorAttrScalar(
        opDesc.get(), {{ df.attr_name }}, HIPDNN_TYPE_INT64, {{ df.camel_name }}, "{{ op.effective_error_label }} mode"));
{% elif df.is_optional_scalar %}
    if(attributes.{{ df.frontend_getter }}.has_value())
    {
        HIPDNN_CHECK_ERROR(setDescriptorAttrScalar(
            opDesc.get(), {{ df.attr_name }}, {{ df.backend_type }},
            *attributes.{{ df.frontend_getter }}, "{{ op.effective_error_label }} {{ df.name }}"));
    }
{% elif df.is_scalar %}
    HIPDNN_CHECK_ERROR(setDescriptorAttrScalar(
        opDesc.get(), {{ df.attr_name }}, {{ df.backend_type }}, attributes.{{ df.frontend_getter }}, "{{ op.effective_error_label }} {{ df.name }}"));
{% endif %}
{% endfor %}
{% if op.has_compute_data_type %}

    HIPDNN_CHECK_ERROR(setDescriptorAttrDataType(opDesc.get(),
                                                 {{ op.compute_data_type_attr }},
                                                 attributes.compute_data_type,
                                                 "{{ op.effective_error_label }} compute data type"));
{% endif %}
{% endif %}
{% for edt in op.extra_data_type_fields %}
{% set edt_access = edt.frontend_member_name if edt.frontend_uses_member_access else edt.frontend_getter %}
{% if edt.sentinel %}

    // Set {{ edt.name }} (omitted when {{ edt.sentinel }})
    if(attributes.{{ edt_access }} != {{ edt.sentinel }})
    {
        HIPDNN_CHECK_ERROR(setDescriptorAttrDataType(opDesc.get(),
                                                     {{ edt.attr_name }},
                                                     attributes.{{ edt_access }},
                                                     "{{ op.effective_error_label }} {{ edt.effective_error_label }}"));
    }
{% else %}

    HIPDNN_CHECK_ERROR(setDescriptorAttrDataType(opDesc.get(),
                                                 {{ edt.attr_name }},
                                                 attributes.{{ edt_access }},
                                                 "{{ op.effective_error_label }} {{ edt.effective_error_label }}"));
{% endif %}
{% endfor %}
{% for taf in op.tensor_array_fields %}

    // Set {{ taf.name }} tensor array
    {
        auto& {{ taf.camel_name }}Attrs = attributes.{{ taf.frontend_getter }};
        if(!{{ taf.camel_name }}Attrs.empty())
        {
            std::vector<HipdnnBackendDescriptor*> {{ taf.camel_name }}Ptrs;
            {{ taf.camel_name }}Ptrs.reserve({{ taf.camel_name }}Attrs.size());
            for(const auto& tensorAttr : {{ taf.camel_name }}Attrs)
            {
                auto [errTaf, tafUid] = createOrFindTensorDesc(tensorDescs, tensorAttr);
                HIPDNN_CHECK_ERROR(errTaf);
                {{ taf.camel_name }}Ptrs.push_back(tensorDescs.at(tafUid).get());
            }
            HIPDNN_CHECK_ERROR(setDescriptorAttrRaw(
                opDesc.get(), {{ taf.attr_name }}, HIPDNN_TYPE_BACKEND_DESCRIPTOR,
                static_cast<int64_t>({{ taf.camel_name }}Ptrs.size()), {{ taf.camel_name }}Ptrs.data(),
                "{{ op.effective_error_label }} {{ taf.name }}"));
        }
    }
{% endfor %}

    // Set operation name if provided
    auto& opName = attributes.get_name();
    if(!opName.empty())
    {
        HIPDNN_CHECK_ERROR(setDescriptorAttrString(
            opDesc.get(), HIPDNN_ATTR_OPERATION_NAME_EXT, opName, "operation name"));
    }

    // Finalize operation descriptor
    HIPDNN_CHECK_ERROR(finalizeDescriptor(opDesc.get(), "{{ op.effective_packer_finalize_label }} operation descriptor"));

    operations.push_back(std::move(opDesc));
    return {};
}

} // namespace hipdnn_frontend::detail