Produces the average pool of the input tensor for quantized types.
tf.raw_ops.QuantizedAvgPool(
input, min_input, max_input, ksize, strides, padding, name=None
)
Args |
|---|
input
|
A Tensor. Must be one of the following types: qint8, quint8, qint32, qint16, quint16.
4-D with shape [batch, height, width, channels].
|
min_input
|
A Tensor of type float32.
The float value that the lowest quantized input value represents.
|
max_input
|
A Tensor of type float32.
The float value that the highest quantized input value represents.
|
ksize
|
A list of ints.
The size of the window for each dimension of the input tensor.
The length must be 4 to match the number of dimensions of the input.
|
strides
|
A list of ints.
The stride of the sliding window for each dimension of the input
tensor. The length must be 4 to match the number of dimensions of the input.
|
padding
|
A string from: "SAME", "VALID".
The type of padding algorithm to use.
|
name
|
A name for the operation (optional).
|
Returns |
|---|
A tuple of Tensor objects (output, min_output, max_output).
|
output
|
A Tensor. Has the same type as input.
|
min_output
|
A Tensor of type float32.
|
max_output
|
A Tensor of type float32.
|
