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`. |