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Updating transposed convs in conv1d, conv2d, and conv3d

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This commit is contained in:
Sai Charan Arvapally 2025-04-25 12:38:25 -06:00
parent 268314cc2f
commit 09a74bc516
1 changed files with 4 additions and 4 deletions
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8
python/src/ops.cpp
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@ -3619,8 +3619,8 @@ void init_ops(nb::module_& m) {
1D transposed convolution over an input with several channels
Args:
input (array): Input array of shape ``(N, H, C_in)``.
weight (array): Weight array of shape ``(C_out, H, C_in)``.
input (array): Input array of shape ``(N, L, C_in)``.
weight (array): Weight array of shape ``(C_out, K, C_in)``.
stride (int, optional): Kernel stride. Default: ``1``.
padding (int, optional): Input padding. Default: ``0``.
dilation (int, optional): Kernel dilation. Default: ``1``.
@ -3697,7 +3697,7 @@ void init_ops(nb::module_& m) {
Args:
input (array): Input array of shape ``(N, H, W, C_in)``.
weight (array): Weight array of shape ``(C_out, H, W, C_in)``.
weight (array): Weight array of shape ``(C_out, KH, KW, C_in)``.
stride (int or tuple(int), optional): :obj:`tuple` of size 2 with
kernel strides. All spatial dimensions get the same stride if
only one number is specified. Default: ``1``.
@ -3783,7 +3783,7 @@ void init_ops(nb::module_& m) {
Args:
input (array): Input array of shape ``(N, D, H, W, C_in)``.
weight (array): Weight array of shape ``(C_out, D, H, W, C_in)``.
weight (array): Weight array of shape ``(C_out, KD, KH, KW, C_in)``.
stride (int or tuple(int), optional): :obj:`tuple` of size 3 with
kernel strides. All spatial dimensions get the same stride if
only one number is specified. Default: ``1``.