Module: tf.quantization
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Public API for tf._api.v2.quantization namespace
Modules
experimental module: Public API for tf._api.v2.quantization.experimental namespace
Functions
dequantize(...): Dequantize the 'input' tensor into a float or bfloat16 Tensor.
fake_quant_with_min_max_args(...): Fake-quantize the 'inputs' tensor, type float to 'outputs' tensor of same shape and type.
fake_quant_with_min_max_args_gradient(...): Compute gradients for a FakeQuantWithMinMaxArgs operation.
fake_quant_with_min_max_vars(...): Fake-quantize the 'inputs' tensor of type float via global float scalars
fake_quant_with_min_max_vars_gradient(...): Compute gradients for a FakeQuantWithMinMaxVars operation.
fake_quant_with_min_max_vars_per_channel(...): Fake-quantize the 'inputs' tensor of type float via per-channel floats
fake_quant_with_min_max_vars_per_channel_gradient(...): Compute gradients for a FakeQuantWithMinMaxVarsPerChannel operation.
quantize(...): Quantize the 'input' tensor of type float to 'output' tensor of type 'T'.
quantize_and_dequantize(...): Quantizes then dequantizes a tensor. (deprecated)
quantize_and_dequantize_v2(...): Quantizes then dequantizes a tensor.
quantized_concat(...): Concatenates quantized tensors along one dimension.
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Last updated 2024-04-26 UTC.
[null,null,["Last updated 2024-04-26 UTC."],[],[],null,["# Module: tf.quantization\n\n\u003cbr /\u003e\n\nPublic API for tf._api.v2.quantization namespace\n\nModules\n-------\n\n[`experimental`](../tf/quantization/experimental) module: Public API for tf._api.v2.quantization.experimental namespace\n\nFunctions\n---------\n\n[`dequantize(...)`](../tf/quantization/dequantize): Dequantize the 'input' tensor into a float or bfloat16 Tensor.\n\n[`fake_quant_with_min_max_args(...)`](../tf/quantization/fake_quant_with_min_max_args): Fake-quantize the 'inputs' tensor, type float to 'outputs' tensor of same shape and type.\n\n[`fake_quant_with_min_max_args_gradient(...)`](../tf/quantization/fake_quant_with_min_max_args_gradient): Compute gradients for a FakeQuantWithMinMaxArgs operation.\n\n[`fake_quant_with_min_max_vars(...)`](../tf/quantization/fake_quant_with_min_max_vars): Fake-quantize the 'inputs' tensor of type float via global float scalars\n\n[`fake_quant_with_min_max_vars_gradient(...)`](../tf/quantization/fake_quant_with_min_max_vars_gradient): Compute gradients for a FakeQuantWithMinMaxVars operation.\n\n[`fake_quant_with_min_max_vars_per_channel(...)`](../tf/quantization/fake_quant_with_min_max_vars_per_channel): Fake-quantize the 'inputs' tensor of type float via per-channel floats\n\n[`fake_quant_with_min_max_vars_per_channel_gradient(...)`](../tf/quantization/fake_quant_with_min_max_vars_per_channel_gradient): Compute gradients for a FakeQuantWithMinMaxVarsPerChannel operation.\n\n[`quantize(...)`](../tf/quantization/quantize): Quantize the 'input' tensor of type float to 'output' tensor of type 'T'.\n\n[`quantize_and_dequantize(...)`](../tf/quantization/quantize_and_dequantize): Quantizes then dequantizes a tensor. (deprecated)\n\n[`quantize_and_dequantize_v2(...)`](../tf/quantization/quantize_and_dequantize_v2): Quantizes then dequantizes a tensor.\n\n[`quantized_concat(...)`](../tf/quantization/quantized_concat): Concatenates quantized tensors along one dimension."]]
