Module: tf.compat.v2.quantization
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Public API for tf.quantization namespace.
Functions
dequantize(...)
: Dequantize the 'input' tensor into a float Tensor.
fake_quant_with_min_max_args(...)
: Fake-quantize the 'inputs' tensor, type float to 'outputs' tensor of same 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 min
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 and one of the shapes: [d]
,
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.
quantized_concat(...)
: Concatenates quantized tensors along one dimension.
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Last updated 2020-10-01 UTC.
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