Esempio n. 1
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def simulated_quantize_compute(attrs, inputs, out_type, target):
    """Compiler for simulated_quantize."""
    assert len(inputs) == 4
    assert attrs.sign
    assert attrs.rounding == "round"

    data, scale, clip_min, clip_max = inputs

    if attrs.kind == QAnnotateKind.IDENTITY:
        return [topi.identity(data)]

    # simulate rounding error
    scaled_data = topi.divide(data, scale)
    clipped_data = topi.maximum(topi.minimum(scaled_data, clip_max), clip_min)
    round_data = topi.round(clipped_data)

    # recover data
    rdata = topi.multiply(round_data, scale)
    return [rdata]
Esempio n. 2
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def simulated_quantize_compute(attrs, inputs, out_type, target):
    """Compiler for simulated_quantize."""
    assert len(inputs) == 4
    assert attrs.sign
    if attrs.rounding == "origin":
        return [topi.identity(inputs[0])]

    assert False
    assert attrs.rounding == "round"

    data, scale, clip_min, clip_max = inputs

    # simulate rounding error
    scaled_data = topi.divide(data, scale)
    clipped_data = topi.maximum(topi.minimum(scaled_data, clip_max), clip_min)
    round_data = topi.round(clipped_data)

    # recover data
    rdata = topi.multiply(round_data, scale)
    return [rdata]