[Relax][Frontend] PyTorch importer #95
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Enhance VM Executable as a Subclass of runtime::Module
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@Hzfengsy @jinhongyii would be great if you can help review |
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Implements the Relax importer from PyTorch, using torch FX.
An example use of the importer is:
```python
# Import the importer.
from tvm.relax.frontend import from_pytorch
# Define the module
class MyModule(torch.nn.Module):
def __init__(self):
super().__init__()
self.linear = torch.nn.Linear(in_features=10, out_features=7, bias=True)
def forward(self, input):
return self.linear(input)
# Instantiate the model and create the input info dict.
torch_model = MyModule()
input_info = {"input_1": ((128, 10), "float32")}
# Use the importer to import the PyTorch model to Relax.
mod: tvm.IRModule = from_pytorch(torch_model, input_info)
# Print out the imported model.
# print(mod.script())
```
---------
Co-authored-by: Ruihang Lai <ruihangl@cs.cmu.edu>
MasterJH5574
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Jan 31, 2023
Implements the Relax importer from PyTorch, using torch FX.
An example use of the importer is:
```python
# Import the importer.
from tvm.relax.frontend import from_pytorch
# Define the module
class MyModule(torch.nn.Module):
def __init__(self):
super().__init__()
self.linear = torch.nn.Linear(in_features=10, out_features=7, bias=True)
def forward(self, input):
return self.linear(input)
# Instantiate the model and create the input info dict.
torch_model = MyModule()
input_info = {"input_1": ((128, 10), "float32")}
# Use the importer to import the PyTorch model to Relax.
mod: tvm.IRModule = from_pytorch(torch_model, input_info)
# Print out the imported model.
# print(mod.script())
```
---------
Co-authored-by: Ruihang Lai <ruihangl@cs.cmu.edu>
MasterJH5574
added a commit
that referenced
this pull request
Feb 8, 2023
Enhance VM Executable as a Subclass of runtime::Module
MasterJH5574
added a commit
that referenced
this pull request
Feb 8, 2023
Implements the Relax importer from PyTorch, using torch FX.
An example use of the importer is:
```python
# Import the importer.
from tvm.relax.frontend import from_pytorch
# Define the module
class MyModule(torch.nn.Module):
def __init__(self):
super().__init__()
self.linear = torch.nn.Linear(in_features=10, out_features=7, bias=True)
def forward(self, input):
return self.linear(input)
# Instantiate the model and create the input info dict.
torch_model = MyModule()
input_info = {"input_1": ((128, 10), "float32")}
# Use the importer to import the PyTorch model to Relax.
mod: tvm.IRModule = from_pytorch(torch_model, input_info)
# Print out the imported model.
# print(mod.script())
```
---------
Co-authored-by: Ruihang Lai <ruihangl@cs.cmu.edu>
spectrometerHBH
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Feb 9, 2023
Enhance VM Executable as a Subclass of runtime::Module
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Implements the Relax importer from PyTorch, using torch FX.
An example use of the importer is: