quant_conv

Quant Conv

Description

This function applies a quantized convolution operation to an input tensor. It is typically used in the context of image processing, particularly in generative models like Stable Diffusion.

Usage

quant_conv(x, dtype, device)

Arguments

• x: Input tensor to be processed.
• dtype: Data type for the tensor (e.g., “torch_float16” or “torch_float32”).
• device: Device on which the tensor is located (e.g., “cpu” or “cuda”).

Value

Processed tensor after applying the quantized convolution.

• ← qwen_bpe_tokenizer
• preprocess_image →