Uses of Package
org.tensorflow.op.quantization

Packages that use org.tensorflow.op.quantization

Package	Description
org.tensorflow.op
org.tensorflow.op.quantization

Classes in org.tensorflow.op.quantization used by org.tensorflow.op

Class and Description
Dequantize Dequantize the 'input' tensor into a float Tensor.
Dequantize.Options Optional attributes for Dequantize
FakeQuantWithMinMaxArgs Fake-quantize the 'inputs' tensor, type float to 'outputs' tensor of same type.
FakeQuantWithMinMaxArgs.Options Optional attributes for FakeQuantWithMinMaxArgs
FakeQuantWithMinMaxArgsGradient Compute gradients for a FakeQuantWithMinMaxArgs operation.
FakeQuantWithMinMaxArgsGradient.Options Optional attributes for FakeQuantWithMinMaxArgsGradient
FakeQuantWithMinMaxVars Fake-quantize the 'inputs' tensor of type float via global float scalars `min`
FakeQuantWithMinMaxVars.Options Optional attributes for FakeQuantWithMinMaxVars
FakeQuantWithMinMaxVarsGradient Compute gradients for a FakeQuantWithMinMaxVars operation.
FakeQuantWithMinMaxVarsGradient.Options Optional attributes for FakeQuantWithMinMaxVarsGradient
FakeQuantWithMinMaxVarsPerChannel Fake-quantize the 'inputs' tensor of type float and one of the shapes: `[d]`,
FakeQuantWithMinMaxVarsPerChannel.Options Optional attributes for FakeQuantWithMinMaxVarsPerChannel
FakeQuantWithMinMaxVarsPerChannelGradient Compute gradients for a FakeQuantWithMinMaxVarsPerChannel operation.
FakeQuantWithMinMaxVarsPerChannelGradient.Options Optional attributes for FakeQuantWithMinMaxVarsPerChannelGradient
Quantize Quantize the 'input' tensor of type float to 'output' tensor of type 'T'.
Quantize.Options Optional attributes for Quantize
QuantizeAndDequantize Quantizes then dequantizes a tensor.
QuantizeAndDequantize.Options Optional attributes for QuantizeAndDequantize
QuantizeDownAndShrinkRange Convert the quantized 'input' tensor into a lower-precision 'output', using the
RequantizationRange Computes a range that covers the actual values present in a quantized tensor.
Requantize Converts the quantized `input` tensor into a lower-precision `output`.

Classes in org.tensorflow.op.quantization used by org.tensorflow.op.quantization

Class and Description
Dequantize Dequantize the 'input' tensor into a float Tensor.
Dequantize.Options Optional attributes for Dequantize
FakeQuantWithMinMaxArgs Fake-quantize the 'inputs' tensor, type float to 'outputs' tensor of same type.
FakeQuantWithMinMaxArgs.Options Optional attributes for FakeQuantWithMinMaxArgs
FakeQuantWithMinMaxArgsGradient Compute gradients for a FakeQuantWithMinMaxArgs operation.
FakeQuantWithMinMaxArgsGradient.Options Optional attributes for FakeQuantWithMinMaxArgsGradient
FakeQuantWithMinMaxVars Fake-quantize the 'inputs' tensor of type float via global float scalars `min`
FakeQuantWithMinMaxVars.Options Optional attributes for FakeQuantWithMinMaxVars
FakeQuantWithMinMaxVarsGradient Compute gradients for a FakeQuantWithMinMaxVars operation.
FakeQuantWithMinMaxVarsGradient.Options Optional attributes for FakeQuantWithMinMaxVarsGradient
FakeQuantWithMinMaxVarsPerChannel Fake-quantize the 'inputs' tensor of type float and one of the shapes: `[d]`,
FakeQuantWithMinMaxVarsPerChannel.Options Optional attributes for FakeQuantWithMinMaxVarsPerChannel
FakeQuantWithMinMaxVarsPerChannelGradient Compute gradients for a FakeQuantWithMinMaxVarsPerChannel operation.
FakeQuantWithMinMaxVarsPerChannelGradient.Options Optional attributes for FakeQuantWithMinMaxVarsPerChannelGradient
Quantize Quantize the 'input' tensor of type float to 'output' tensor of type 'T'.
Quantize.Options Optional attributes for Quantize
QuantizeAndDequantize Quantizes then dequantizes a tensor.
QuantizeAndDequantize.Options Optional attributes for QuantizeAndDequantize
QuantizeDownAndShrinkRange Convert the quantized 'input' tensor into a lower-precision 'output', using the
RequantizationRange Computes a range that covers the actual values present in a quantized tensor.
Requantize Converts the quantized `input` tensor into a lower-precision `output`.