tf.raw_ops.UniformQuantizedDotHybrid

Perform hybrid quantized dot of float Tensor lhs and quantized Tensor rhs.

tf.raw_ops.UniformQuantizedDotHybrid(
    lhs,
    rhs,
    rhs_scales,
    rhs_zero_points,
    Tout,
    rhs_quantization_min_val,
    rhs_quantization_max_val,
    rhs_quantization_axis=-1,
    name=None
)

Given float lhs and quantized rhs, internally performs quantization on lhs, and then performs quantized dot on quantized lhs and rhs. The internal quantization on lhs is a quantization to qint8, dynamic range, per-batch (per-axis along axis 0), asymmetric, and not narrow range (the range is [-128, 127]). lhs and rhs must be 2D Tensors and the lhs.dim_size(1) must match rhs.dim_size(0). rhs must be quantized Tensor, where its data value is quantized using the formula: quantized_data = clip(original_data / scale + zero_point, quantization_min_val, quantization_max_val).