analogvnn.fn.reduce_precision
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Module Contents#
Functions#
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Takes x and reduces its precision to precision by rounding to the nearest multiple of precision. |
Takes x and reduces its precision by rounding to the nearest multiple of precision with stochastic scheme. |
- analogvnn.fn.reduce_precision.reduce_precision(x: analogvnn.utils.common_types.TENSOR_OPERABLE, precision: analogvnn.utils.common_types.TENSOR_OPERABLE, divide: analogvnn.utils.common_types.TENSOR_OPERABLE) analogvnn.utils.common_types.TENSOR_OPERABLE [source]#
Takes x and reduces its precision to precision by rounding to the nearest multiple of precision.
- Parameters:
x (TENSOR_OPERABLE) – Tensor
precision (TENSOR_OPERABLE) – the precision of the quantization.
divide (TENSOR_OPERABLE) – the number of bits to be reduced
- Returns:
TENSOR_OPERABLE with the same shape as x, but with values rounded to the nearest multiple of precision.
- Return type:
TENSOR_OPERABLE
- analogvnn.fn.reduce_precision.stochastic_reduce_precision(x: analogvnn.utils.common_types.TENSOR_OPERABLE, precision: analogvnn.utils.common_types.TENSOR_OPERABLE) analogvnn.utils.common_types.TENSOR_OPERABLE [source]#
Takes x and reduces its precision by rounding to the nearest multiple of precision with stochastic scheme.
- Parameters:
x (TENSOR_OPERABLE) – Tensor
precision (TENSOR_OPERABLE) – the precision of the quantization.
- Returns:
TENSOR_OPERABLE with the same shape as x, but with values rounded to the nearest multiple of precision.
- Return type:
TENSOR_OPERABLE