PlaceholderObserver¶
- class torch.ao.quantization.observer.PlaceholderObserver(dtype=torch.float32, custom_op_name='', compute_dtype=None, quant_min=None, quant_max=None, qscheme=None, eps=None, is_dynamic=False)[source]¶
Observer that doesn’t do anything and just passes its configuration to the quantized module’s
.from_float().Can be used for quantization to float16 which doesn’t require determining ranges.
- Parameters:
dtype – dtype argument to the quantize node needed to implement the reference model spec.
quant_min – minimum value in quantized domain (TODO: align behavior with other observers)
quant_max – maximum value in quantized domain
custom_op_name – (temporary) specify this observer for an operator that doesn’t require any observation (Can be used in Graph Mode Passes for special case ops).
compute_dtype (deprecated) – if set, marks the future quantize function to use dynamic quantization instead of static quantization. This field is deprecated, use is_dynamic=True instead.
is_dynamic – if True, the quantize function in the reference model representation taking stats from this observer instance will use dynamic quantization.
