tf.raw_ops.UniformQuantizedDot

Perform quantized dot of quantized Tensor lhs and quantized Tensor rhs to make quantized output.

tf.raw_ops.UniformQuantizedDot(
    lhs,
    rhs,
    lhs_scales,
    lhs_zero_points,
    rhs_scales,
    rhs_zero_points,
    output_scales,
    output_zero_points,
    Tout,
    lhs_quantization_min_val,
    lhs_quantization_max_val,
    rhs_quantization_min_val,
    rhs_quantization_max_val,
    output_quantization_min_val,
    output_quantization_max_val,
    lhs_quantization_axis=-1,
    rhs_quantization_axis=-1,
    output_quantization_axis=-1,
    name=None
)

Given quantized lhs and quantized rhs, performs quantized dot on lhs and rhs to make quantized output. lhs and rhs must be 2D Tensors and the lhs.dim_size(1) must match rhs.dim_size(0). lhs and rhs must be quantized Tensor, where data value is quantized using the formula: quantized_data = clip(original_data / scale + zero_point, quantization_min_val, quantization_max_val). output is also quantized, using the same formula. If rhs is per-tensor quantized, output must be also per-tensor quantized.