52 lines
1.5 KiB
Python
52 lines
1.5 KiB
Python
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from typing import Sequence, Tuple, TypeVar, Union
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from ..model import Model
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from ..types import ArrayXd, FloatsXd, IntsXd
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AxisIndex = Union[int, slice, Sequence[int]]
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Index = Union[AxisIndex, Tuple[AxisIndex, ...]]
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ArrayTXd = TypeVar("ArrayTXd", bound=ArrayXd)
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def array_getitem(index: Index) -> Model[ArrayTXd, ArrayTXd]:
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"""Index into input arrays, and return the subarrays.
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index:
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A valid numpy-style index. Multi-dimensional indexing can be performed
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by passing in a tuple, and slicing can be performed using the slice object.
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For instance, X[:, :-1] would be (slice(None, None), slice(None, -1)).
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"""
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return Model("array-getitem", forward, attrs={"index": index})
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def floats_getitem(index: Index) -> Model[FloatsXd, FloatsXd]:
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"""Index into input arrays, and return the subarrays.
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This delegates to `array_getitem`, but allows type declarations.
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"""
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return Model("floats-getitem", forward, attrs={"index": index})
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def ints_getitem(index: Index) -> Model[IntsXd, IntsXd]:
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"""Index into input arrays, and return the subarrays.
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This delegates to `array_getitem`, but allows type declarations.
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"""
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return Model("ints-getitem", forward, attrs={"index": index})
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def forward(model, X, is_train):
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index = model.attrs["index"]
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shape = X.shape
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dtype = X.dtype
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def backprop_get_column(dY):
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dX = model.ops.alloc(shape, dtype=dtype)
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dX[index] = dY
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return dX
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if len(X) == 0:
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return X, backprop_get_column
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Y = X[index]
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return Y, backprop_get_column
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