Fused quant convolution kernel (#19491)#19491
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🔗 Helpful Links🧪 See artifacts and rendered test results at hud.pytorch.org/pr/pytorch/executorch/19491
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Summary: Pull Request resolved: pytorch#19491 Fused quant 2D convolution kernel (NCHW layout) with optional dequantize/quantize. Supports 4 sets of qparams, stride/padding/dilation/groups, and per-tensor/per-channel quantization. Reviewed By: mvartani-meta Differential Revision: D103754924
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Summary: Fused quant 2D convolution kernel (NCHW layout) with optional dequantize/quantize. Supports 4 sets of qparams, stride/padding/dilation/groups, and per-tensor/per-channel quantization. Reviewed By: mvartani-meta Differential Revision: D103754924
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Summary: Fused quant 2D convolution kernel (NCHW layout) with optional dequantize/quantize. Supports 4 sets of qparams, stride/padding/dilation/groups, and per-tensor/per-channel quantization. Reviewed By: mvartani-meta Differential Revision: D103754924
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Summary: Fused quant 2D convolution kernel (NCHW layout) with optional dequantize/quantize. Supports 4 sets of qparams, stride/padding/dilation/groups, and per-tensor/per-channel quantization. Reviewed By: mvartani-meta Differential Revision: D103754924
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Summary: Fused quant 2D convolution kernel (NCHW layout) with optional dequantize/quantize. Supports 4 sets of qparams, stride/padding/dilation/groups, and per-tensor/per-channel quantization. Reviewed By: mvartani-meta Differential Revision: D103754924
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Summary: Fused quant linear kernel (out = inp @ weight^T + bias) with optional dequantize/quantize. Supports 4 sets of qparams (inp, weight, bias, out), optional bias, and per-tensor/per-channel quantization. Reviewed By: mvartani-meta Differential Revision: D103754853
Summary: Fused quant 2D convolution kernel (NCHW layout) with optional dequantize/quantize. Supports 4 sets of qparams, stride/padding/dilation/groups, and per-tensor/per-channel quantization. Reviewed By: mvartani-meta Differential Revision: D103754924
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Summary: Fused quant 2D convolution kernel (NCHW layout) with optional dequantize/quantize. Supports 4 sets of qparams, stride/padding/dilation/groups, and per-tensor/per-channel quantization. Reviewed By: mvartani-meta Differential Revision: D103754924
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Summary:
Fused quant 2D convolution kernel (NCHW layout) with optional dequantize/quantize. Supports 4 sets of qparams, stride/padding/dilation/groups, and per-tensor/per-channel quantization.
Reviewed By: mvartani-meta
Differential Revision: D103754924