[psiddh]

Summary:

A 3-D transposed convolution (ConvTranspose1d) was not delegated, so models had to rewrite it as a 4-D conv_transpose2d.
It now runs on the transposed 2-D kernels with H = 1. Transposed convs with dynamic input, or whose direct user is relu/hardtanh, stay on CPU.
This unblocks the upsamplers of streaming audio decoders, e.g. text-to-speech in the browser.
Follow-up (pre-existing): ConvTranspose2d -> BatchNorm2d -> ReLU still fuses into a transposed conv_with_clamp, which fails to load.

Reviewed By: SS-JIA

Differential Revision: D127010336

[pytorch-bot]

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