Classes
Dequantize<U extends TNumber> | Dequantize the 'input' tensor into a float or bfloat16 Tensor. |
Dequantize.Options | Optional attributes for Dequantize
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FakeQuantWithMinMaxArgs | Fake-quantize the 'inputs' tensor, type float to 'outputs' tensor of same type. |
FakeQuantWithMinMaxArgs.Options | Optional attributes for FakeQuantWithMinMaxArgs
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FakeQuantWithMinMaxArgsGradient | Compute gradients for a FakeQuantWithMinMaxArgs operation. |
FakeQuantWithMinMaxArgsGradient.Options | Optional attributes for FakeQuantWithMinMaxArgsGradient
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FakeQuantWithMinMaxVars | Fake-quantize the 'inputs' tensor of type float via global float scalars
Fake-quantize the `inputs` tensor of type float via global float scalars `min` and `max` to `outputs` tensor of same shape as `inputs`. |
FakeQuantWithMinMaxVars.Options | Optional attributes for FakeQuantWithMinMaxVars
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FakeQuantWithMinMaxVarsGradient | Compute gradients for a FakeQuantWithMinMaxVars operation. |
FakeQuantWithMinMaxVarsGradient.Options | Optional attributes for FakeQuantWithMinMaxVarsGradient
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FakeQuantWithMinMaxVarsPerChannel | Fake-quantize the 'inputs' tensor of type float via per-channel floats
Fake-quantize the `inputs` tensor of type float per-channel and one of the shapes: `[d]`, `[b, d]` `[b, h, w, d]` via per-channel floats `min` and `max` of shape `[d]` to `outputs` tensor of same shape as `inputs`. |
FakeQuantWithMinMaxVarsPerChannel.Options | Optional attributes for FakeQuantWithMinMaxVarsPerChannel
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FakeQuantWithMinMaxVarsPerChannelGradient | Compute gradients for a FakeQuantWithMinMaxVarsPerChannel operation. |
FakeQuantWithMinMaxVarsPerChannelGradient.Options | Optional attributes for FakeQuantWithMinMaxVarsPerChannelGradient
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Quantize<T extends TType> | Quantize the 'input' tensor of type float to 'output' tensor of type 'T'. |
Quantize.Options | Optional attributes for Quantize
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QuantizeAndDequantize<T extends TNumber> | Quantizes then dequantizes a tensor. |
QuantizeAndDequantize.Options | Optional attributes for QuantizeAndDequantize
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QuantizeAndDequantizeV3<T extends TNumber> | Quantizes then dequantizes a tensor. |
QuantizeAndDequantizeV3.Options | Optional attributes for QuantizeAndDequantizeV3
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QuantizeAndDequantizeV4<T extends TNumber> | Returns the gradient of `quantization.QuantizeAndDequantizeV4`. |
QuantizeAndDequantizeV4.Options | Optional attributes for QuantizeAndDequantizeV4
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QuantizeAndDequantizeV4Grad<T extends TNumber> | Returns the gradient of `QuantizeAndDequantizeV4`. |
QuantizeAndDequantizeV4Grad.Options | Optional attributes for QuantizeAndDequantizeV4Grad
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QuantizedConcat<T extends TType> | Concatenates quantized tensors along one dimension. |
QuantizedMatMulWithBiasAndDequantize<W extends TNumber> | |
QuantizedMatMulWithBiasAndDequantize.Options | Optional attributes for QuantizedMatMulWithBiasAndDequantize
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QuantizedMatMulWithBiasAndRequantize<W extends TType> | |
QuantizedMatMulWithBiasAndRequantize.Options | Optional attributes for QuantizedMatMulWithBiasAndRequantize
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QuantizeDownAndShrinkRange<U extends TType> | Convert the quantized 'input' tensor into a lower-precision 'output', using the
actual distribution of the values to maximize the usage of the lower bit depth and adjusting the output min and max ranges accordingly. |
RequantizationRange | Computes a range that covers the actual values present in a quantized tensor. |
Requantize<U extends TType> | Converts the quantized `input` tensor into a lower-precision `output`. |