torch-mlir/e2e_testing/torchscript/reshape_like.py

280 lines
8.0 KiB
Python

# 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 UnsafeViewExpandModule(torch.nn.Module):
def __init__(self):
super().__init__()
@export
@annotate_args([
None,
([6, 4], torch.float32, True),
])
def forward(self, a):
return torch.ops.aten._unsafe_view(a, [2, 3, 4])
@register_test_case(module_factory=lambda: UnsafeViewExpandModule())
def UnsafeViewExpandModule_basic(module, tu: TestUtils):
module.forward(tu.rand(6, 4))
# ==============================================================================
class UnsafeViewDynamicExpandModule(torch.nn.Module):
def __init__(self):
super().__init__()
@export
@annotate_args([
None,
([-1, -1, 30, 384], torch.float32, True),
])
def forward(self, a):
return torch.ops.aten._unsafe_view(a,[2, 4, 5, 6, 12, 32])
@register_test_case(module_factory=lambda: UnsafeViewDynamicExpandModule())
def UnsafeViewDynamicExpandModule_basic(module, tu: TestUtils):
module.forward(tu.rand(2, 4, 30, 384))
# ==============================================================================
class UnsafeViewDynamicExpandWithAtenSizeIntModule(torch.nn.Module):
def __init__(self):
super().__init__()
@export
@annotate_args([
None,
([-1, -1, -1], torch.float32, True),
])
def forward(self, a):
return torch.ops.aten._unsafe_view(a, [a.size(0), a.size(1), 12, 32])
@register_test_case(module_factory=lambda: UnsafeViewDynamicExpandWithAtenSizeIntModule())
def UnsafeViewDynamicExpandWithAtenSizeIntModule_basic(module, tu: TestUtils):
module.forward(tu.rand(2, 4, 384))
# ==============================================================================
class UnsafeViewCollapseModule(torch.nn.Module):
def __init__(self):
super().__init__()
@export
@annotate_args([
None,
([-1, -1], torch.float32, True),
])
def forward(self, a):
return torch.ops.aten._unsafe_view(a,[8])
@register_test_case(module_factory=lambda: UnsafeViewCollapseModule())
def UnsafeViewCollapseModule_basic(module, tu: TestUtils):
module.forward(tu.rand(2, 4))
# ==============================================================================
class UnsafeViewCollapseDynamicWithAtenSizeIntModule(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 torch.ops.aten._unsafe_view(a, [a.size(0), int(b), int(c), a.size(3), 384])
@register_test_case(module_factory=lambda: UnsafeViewCollapseDynamicWithAtenSizeIntModule())
def UnsafeViewCollapseDynamicWithAtenSizeIntModule_basic(module, tu: TestUtils):
module.forward(tu.rand(2, 3, 5, 4, 12, 32), torch.tensor(3), torch.tensor(5))
# ==============================================================================
class UnsafeView1DFoldModule(torch.nn.Module):
def __init__(self):
super().__init__()
@export
@annotate_args([
None,
([-1], torch.float32, True),
])
def forward(self, a):
return torch.ops.aten._unsafe_view(a, [-1])
@register_test_case(module_factory=lambda: UnsafeView1DFoldModule())
def UnsafeView1DFoldModule_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))