mirror of https://github.com/llvm/torch-mlir
126 lines
3.6 KiB
Python
126 lines
3.6 KiB
Python
# Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
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# See https://llvm.org/LICENSE.txt for license information.
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# SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
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import torch
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from torch_mlir_e2e_test.torchscript.framework import TestUtils
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from torch_mlir_e2e_test.torchscript.registry import register_test_case
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from torch_mlir_e2e_test.torchscript.annotations import annotate_args, export
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# ==============================================================================
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class ViewExpandModule(torch.nn.Module):
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def __init__(self):
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super().__init__()
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@export
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@annotate_args([
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None,
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([6, 4], torch.float32, True),
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])
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def forward(self, a):
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return a.view(2, 3, 4)
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@register_test_case(module_factory=lambda: ViewExpandModule())
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def ViewExpandModule_basic(module, tu: TestUtils):
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module.forward(tu.rand(6, 4))
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# ==============================================================================
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class ViewDynamicExpandModule(torch.nn.Module):
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def __init__(self):
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super().__init__()
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@export
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@annotate_args([
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None,
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([-1, -1, 30, 384], torch.float32, True),
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])
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def forward(self, a):
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return a.view(2, 4, 5, 6, 12, 32)
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@register_test_case(module_factory=lambda: ViewDynamicExpandModule())
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def ViewDynamicExpandModule_basic(module, tu: TestUtils):
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module.forward(tu.rand(2, 4, 30, 384))
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# ==============================================================================
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class ViewDynamicExpandWithAtenSizeIntModule(torch.nn.Module):
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def __init__(self):
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super().__init__()
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@export
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@annotate_args([
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None,
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([-1, -1, -1], torch.float32, True),
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])
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def forward(self, a):
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return a.view(a.size(0), a.size(1), 12, 32)
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@register_test_case(module_factory=lambda: ViewDynamicExpandWithAtenSizeIntModule())
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def ViewDynamicExpandWithAtenSizeIntModule_basic(module, tu: TestUtils):
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module.forward(tu.rand(2, 4, 384))
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# ==============================================================================
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class ViewCollapseModule(torch.nn.Module):
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def __init__(self):
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super().__init__()
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@export
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@annotate_args([
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None,
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([-1, -1], torch.float32, True),
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])
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def forward(self, a):
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return a.view(8)
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@register_test_case(module_factory=lambda: ViewCollapseModule())
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def ViewCollapseModule_basic(module, tu: TestUtils):
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module.forward(tu.rand(2, 4))
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# ==============================================================================
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class ViewCollapseDynamicWithAtenSizeIntModule(torch.nn.Module):
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def __init__(self):
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super().__init__()
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@export
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@annotate_args([
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None,
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([-1, -1, -1, -1, -1, -1], torch.float32, True),
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([], torch.int64, True),
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([], torch.int64, True),
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])
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def forward(self, a, b, c):
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return a.view(a.size(0), int(b), int(c), a.size(3), 384)
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@register_test_case(module_factory=lambda: ViewCollapseDynamicWithAtenSizeIntModule())
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def ViewCollapseDynamicWithAtenSizeIntModule_basic(module, tu: TestUtils):
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module.forward(tu.rand(2, 3, 5, 4, 12, 32), torch.tensor(3), torch.tensor(5))
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# ==============================================================================
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class View1DFoldModule(torch.nn.Module):
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def __init__(self):
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super().__init__()
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@export
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@annotate_args([
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None,
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([-1], torch.float32, True),
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])
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def forward(self, a):
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return a.view(-1)
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@register_test_case(module_factory=lambda: View1DFoldModule())
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def View1DFoldModule_basic(module, tu: TestUtils):
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module.forward(tu.rand(32))
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