Aliases:
tf.fake_quant_with_min_max_args_gradient
tf.quantization.fake_quant_with_min_max_args_gradient
tf.quantization.fake_quant_with_min_max_args_gradient(
gradients,
inputs,
min=-6,
max=6,
num_bits=8,
narrow_range=False,
name=None
)
Defined in generated file: tensorflow/python/ops/gen_array_ops.py
.
Compute gradients for a FakeQuantWithMinMaxArgs operation.
Args:
gradients
: ATensor
of typefloat32
. Backpropagated gradients above the FakeQuantWithMinMaxArgs operation.inputs
: ATensor
of typefloat32
. Values passed as inputs to the FakeQuantWithMinMaxArgs operation.min
: An optionalfloat
. Defaults to-6
.max
: An optionalfloat
. Defaults to6
.num_bits
: An optionalint
. Defaults to8
.narrow_range
: An optionalbool
. Defaults toFalse
.name
: A name for the operation (optional).
Returns:
A Tensor
of type float32
.