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# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
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# http://www.apache.org/licenses/LICENSE-2.0
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"""
View-related modules.
"""
from aitemplate.compiler.ops import flatten, reshape
from aitemplate.frontend.nn.module import Module
[docs]class Reshape(Module):
"""
Returns a tensor with the same data and number of elements as input, but with the
specified shape. Inputs must be contiguous.
A single dimension may be -1, in which case it’s inferred from the remaining
dimensions and the number of elements in input.
"""
def __init__(self):
super().__init__()
self.op = reshape()
[docs] def forward(self, *args):
"""Reshaped the input to given size."""
assert len(args) == 2
x = args[0]
shape = args[1]
return self.op(x, shape)
[docs]class View(Module):
"""
Placeholder for View layer. The current implementation is the same as Reshape.
Returns a tensor with the same data and number of elements as input, but with the specified shape. Inputs must be contiguous.
A single dimension may be -1, in which case it’s inferred from the remaining
dimensions and the number of elements in input.
"""
def __init__(self):
super().__init__()
self.op = reshape()
[docs] def forward(self, *args):
"""Creates a view (copy) of the input with given shape."""
assert len(args) == 2
x = args[0]
shape = args[1]
return self.op(x, shape)
[docs]class Flatten(Module):
"""
Flattens input by reshaping it into a one-dimensional tensor. If start_dim or end_dim
are passed, only dimensions starting with start_dim and ending with end_dim are
flattened. The order of elements in input is unchanged.
"""
def __init__(self, start_dim=0, end_dim=-1):
super().__init__()
self.op = flatten(start_dim, end_dim)
[docs] def forward(self, *args):
"""Flattens the input with specified start and end dims."""
assert len(args) == 1
x = args[0]
return self.op(x)