#  Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
#  See https://llvm.org/LICENSE.txt for license information.
#  SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception

import torch

from torch_mlir_e2e_test.torchscript.framework import TestUtils
from torch_mlir_e2e_test.torchscript.registry import register_test_case
from torch_mlir_e2e_test.torchscript.annotations import annotate_args, export

# ==============================================================================

class ViewExpandModule(torch.nn.Module):
    def __init__(self):
        super().__init__()

    @export
    @annotate_args([
        None,
        ([6, 4], torch.float32, True),
    ])

    def forward(self, a):
        return a.view(2, 3, 4)

@register_test_case(module_factory=lambda: ViewExpandModule())
def ViewExpandModule_basic(module, tu: TestUtils):
    module.forward(tu.rand(6, 4))

# ==============================================================================

class ViewDynamicExpandModule(torch.nn.Module):
    def __init__(self):
        super().__init__()

    @export
    @annotate_args([
        None,
        ([-1, -1, 30, 384], torch.float32, True),
    ])

    def forward(self, a):
        return a.view(2, 4, 5, 6, 12, 32)

@register_test_case(module_factory=lambda: ViewDynamicExpandModule())
def ViewDynamicExpandModule_basic(module, tu: TestUtils):
    module.forward(tu.rand(2, 4, 30, 384))

# ==============================================================================

class ViewDynamicExpandWithAtenSizeIntModule(torch.nn.Module):
    def __init__(self):
        super().__init__()

    @export
    @annotate_args([
        None,
        ([-1, -1, -1], torch.float32, True),
    ])

    def forward(self, a):
        return a.view(a.size(0), a.size(1), 12, 32)

@register_test_case(module_factory=lambda: ViewDynamicExpandWithAtenSizeIntModule())
def ViewDynamicExpandWithAtenSizeIntModule_basic(module, tu: TestUtils):
    module.forward(tu.rand(2, 4, 384))

# ==============================================================================

class ViewCollapseModule(torch.nn.Module):
    def __init__(self):
        super().__init__()

    @export
    @annotate_args([
        None,
        ([-1, -1], torch.float32, True),
    ])

    def forward(self, a):
        return a.view(8)

@register_test_case(module_factory=lambda: ViewCollapseModule())
def ViewCollapseModule_basic(module, tu: TestUtils):
    module.forward(tu.rand(2, 4))

# ==============================================================================

class ViewCollapseDynamicWithAtenSizeIntModule(torch.nn.Module):
    def __init__(self):
        super().__init__()

    @export
    @annotate_args([
        None,
        ([-1, -1, -1, -1, -1, -1], torch.float32, True),
        ([], torch.int64, True),
        ([], torch.int64, True),
    ])

    def forward(self, a, b, c):
        return a.view(a.size(0), int(b), int(c), a.size(3), 384)

@register_test_case(module_factory=lambda: ViewCollapseDynamicWithAtenSizeIntModule())
def ViewCollapseDynamicWithAtenSizeIntModule_basic(module, tu: TestUtils):
    module.forward(tu.rand(2, 3, 5, 4, 12, 32), torch.tensor(3), torch.tensor(5))

# ==============================================================================

class View1DFoldModule(torch.nn.Module):
    def __init__(self):
        super().__init__()

    @export
    @annotate_args([
        None,
        ([-1], torch.float32, True),
    ])

    def forward(self, a):
        return a.view(-1)

@register_test_case(module_factory=lambda: View1DFoldModule())
def View1DFoldModule_basic(module, tu: TestUtils):
    module.forward(tu.rand(32))

# ==============================================================================

class ReshapeExpandModule(torch.nn.Module):
    def __init__(self):
        super().__init__()

    @export
    @annotate_args([
        None,
        ([-1], torch.float32, True),
    ])

    def forward(self, a):
        return a.reshape(12, 32)

@register_test_case(module_factory=lambda: ReshapeExpandModule())
def ReshapeExpandModule_basic(module, tu: TestUtils):
    module.forward(tu.rand(384))

# ==============================================================================

class ReshapeCollapseModule(torch.nn.Module):
    def __init__(self):
        super().__init__()

    @export
    @annotate_args([
        None,
        ([-1, -1], torch.float32, True),
    ])

    def forward(self, a):
        return torch.reshape(a, (-1,))

@register_test_case(module_factory=lambda: ReshapeCollapseModule())
def ReshapeCollapseModule_basic(module, tu: TestUtils):
    module.forward(tu.rand(2, 4))