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pdq2: driver and unittest
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* parses wavesynth style programs
* verified with cosimulated gateware
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jordens committed Mar 21, 2015
1 parent 200e20f commit 0578169
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209 changes: 74 additions & 135 deletions artiq/devices/pdq2/driver.py
@@ -1,137 +1,88 @@
# Robert Jordens <jordens@gmail.com>, 2012-2015

from math import log2, sqrt
import logging
import struct
import warnings

import numpy as np
from scipy import interpolate
import serial

logger = logging.getLogger(__name__)


class Segment:
max_time = 1 << 16 # uint16 timer
max_val = 1 << 15 # int16 DAC
max_out = 10. # Volt
out_scale = max_val/max_out
cordic_gain = 1.
for i in range(16):
cordic_gain *= sqrt(1 + 2**(-2*i))

def __init__(self):
self.data = b""

def line(self, typ, dt, data, trigger=False, silence=False,
aux=False, shift=0, end=False, clear=False, wait=False):
def line(self, typ, duration, data, trigger=False, silence=False,
aux=False, shift=0, jump=False, clear=False, wait_trigger=False):
assert len(data) % 2 == 0, data
assert len(data)//2 <= 14
#assert dt*(1 << shift) > 1 + len(data)//2
head = (
header = (
1 + len(data)//2 | (typ << 4) | (trigger << 6) | (silence << 7) |
(aux << 8) | (shift << 9) | (end << 13) | (clear << 14) |
(wait << 15)
(aux << 8) | (shift << 9) | (jump << 13) | (clear << 14) |
(wait_trigger << 15)
)
self.data += struct.pack("<HH", head, dt) + data
self.data += struct.pack("<HH", header, duration) + data

@staticmethod
def pack(widths, values):
fmt = "<"
ud = []
for width, value in zip(widths, values):
if width == 3:
value = int(round(value * (1 << 16*width)))
if width == 2:
ud.append(value & 0xffff)
fmt += "H"
value >>= 16
width -= 1
ud.append(value)
fmt += " hi"[width]
fmt += "hi"[width]
try:
return struct.pack(fmt, *ud)
except struct.error as e:
logger.error("%s as %s: %s", ud, fmt, e)
logger.error("can not pack %s as %s (%s as %s): %s",
values, widths, ud, fmt, e)
raise e

def lines(self, typ, dt, widths, v, first={}, mid={}, last={}, shift=0):
n = len(dt) - 1
dt = dt.astype(np.uint16)
v = v.astype(np.int64)
for i, (dti, vi) in enumerate(zip(dt, v)):
opts = mid
if i == 0:
opts = first
elif i == n:
opts = last
data = self.pack(widths, vi)
self.line(typ, dti, data, shift=shift, **opts)

@staticmethod
def interpolate(t, v, order, t_eval, widths=None):
"""Spline interpolating derivatives for t,v.
The returned spline coefficients are one shorter than t
"""
if order == 0:
return np.rint(v[:, None])
# FIXME: does not ensure that interpolates do not clip
s = interpolate.splrep(t, v, k=order)
# FIXME: needs k knots outside t_eval
# dv = np.array(interpolate.spalde(t_eval, s))
dv = np.array([interpolate.splev(t_eval, s, der=i, ext=0)
for i in range(order + 1)]).T
# correct for adder chain latency
if order > 1:
dv[:, 1] += dv[:, 2]/2
def compensate(coef):
"""compensates higher order spline coefficients for integrator chain
latency"""
order = len(coef)
if order > 2:
dv[:, 1] += dv[:, 3]/6
dv[:, 2] += dv[:, 3]
if widths is not None:
dv *= 1 << 16*widths
return np.rint(dv)

def line_times(self, t, tr=None):
if tr is None:
tr = np.rint(t)
if len(tr) == 1:
return None, np.array([1])
dt = np.diff(tr)
assert np.all(dt >= 0)
assert np.all(dt < (1 << 16))
return tr[:-1], dt

def dac(self, t, v, first={}, mid={}, last={},
shift=0, tr=None, order=3, stop=True):
widths = np.array([1, 2, 3, 3])
tr, dt = self.line_times(t, tr)
dv = self.interpolate(t, v, order, tr, widths[:order + 1] - 1)
self.lines(0, dt, widths, dv, first, mid, mid if stop else last, shift)
if stop:
self.line(0, 2, self.pack([1], [int(round(v[-1]))]), **last)

def dds(self, t, v, p=None, f=None, first={}, mid={}, last={},
shift=0, tr=None, order=3, stop=True):
widths = np.array([1, 2, 3, 3, 1, 2, 2])
tr, dt = self.line_times(t, tr)
dv = self.interpolate(t, v, order, tr, widths[:order + 1] - 1)
if p is not None:
assert order == 3
dp = self.interpolate(t, p, 1, tr)[:, :1]
dv = np.concatenate((dv, dp), axis=1)
if f is not None:
df = self.interpolate(t, f, 1, tr, widths[-2:] - 1)
dv = np.concatenate((dv, df), axis=1)
self.lines(1, dt, widths, dv, first, mid, mid if stop else last, shift)
if stop:
dv = [int(round(v[-1])), 0, 0, 0]
if p is not None:
dv.append(int(round(p[-1])))
if f is not None:
dv.append(int(round(f[-1])))
self.line(1, 2, self.pack(widths, dv), **last)
coef[1] += coef[2]/2.
if order > 3:
coef[1] += coef[3]/6.
coef[2] += coef[3]
return coef

def bias(self, amplitude=[], **kwargs):
coef = self.compensate([self.out_scale*a for a in amplitude])
data = self.pack([0, 1, 2, 2], coef)
self.line(typ=0, data=data, **kwargs)

def dds(self, amplitude=[], phase=[], **kwargs):
scale = self.out_scale/self.cordic_gain
coef = self.compensate([scale*a for a in amplitude])
if phase:
assert len(amplitude) == 4
coef += [p*self.max_val for p in phase]
data = self.pack([0, 1, 2, 2, 0, 1, 1], coef)
self.line(typ=1, data=data, **kwargs)


class Channel:
max_data = 4*(1 << 10) # 8kx16 8kx16 4kx16
num_frames = 8
max_val = 1 << 15 # int16 bit DAC
max_time = 1 << 16 # uint16 bit timer
cordic_gain = 1.
for i in range(16):
cordic_gain *= np.sqrt(1 + 2**(-2*i))
max_out = 10.
freq = 50e6 # samples/s
max_data = 4*(1 << 10) # 8kx16 8kx16 4kx16

def __init__(self):
self.segments = []
Expand All @@ -145,29 +96,6 @@ def new_segment(self):
self.segments.append(segment)
return segment

def segment(self, t, v, p=None, f=None,
order=3, aux=False, shift=0, trigger=True, end=True,
silence=False, stop=True, clear=True, wait=False):
segment = self.new_segment()
t = t*(self.freq/2**shift)
v = np.clip(v/self.max_out, -1, 1)
order = min(order, len(t) - 1)
first = dict(trigger=trigger, clear=clear, aux=aux)
mid = dict(aux=aux)
last = dict(silence=silence, end=end, wait=wait, aux=aux)
if p is None:
v = v*self.max_val
segment.dac(t, v, first, mid, last, shift=shift, order=order,
stop=stop)
else:
v = v*(self.max_val/self.cordic_gain)
p = p*(self.max_val/np.pi)
if f is not None:
f = f*(self.max_val/self.freq)
segment.dds(t, v, p, f, first, mid, last, shift=shift,
order=order, stop=stop)
return segment

def place(self):
addr = self.num_frames
for segment in self.segments:
Expand Down Expand Up @@ -196,27 +124,26 @@ class Pdq2:
PDQ DAC (a.k.a. QC_Waveform)
"""
num_dacs = 3
num_boards = 3
num_channels = num_dacs*num_boards

_escape = b"\xa5"
_commands = "RESET TRIGGER ARM DCM START".split()

def __init__(self, url=None, dev=None):
def __init__(self, url=None, dev=None, num_boards=3):
if dev is None:
dev = serial.serial_for_url(url)
self.dev = dev
self.num_boards = num_boards
self.num_channels = self.num_dacs * self.num_boards
self.channels = [Channel() for i in range(self.num_channels)]
self.set_freq()

def set_freq(self, f=50e6):
for c in self.channels:
c.freq = f

def close(self):
self.dev.close()
del self.dev

def clear_all(self):
for channel in self.channels:
channel.clear()

def write(self, data):
logger.debug("> %r", data)
written = self.dev.write(data)
Expand All @@ -236,29 +163,41 @@ def write_mem(self, channel, data, start_addr=0):
data = data.replace(self._escape, self._escape + self._escape)
self.write(data)

def write_channel(self, channel, entry=None):
def write_channel(self, channel):
self.write_mem(self.channels.index(channel),
channel.serialize(entry))
channel.serialize())

def write_all(self):
for channel in self.channels:
self.write_mem(self.channels.index(channel),
channel.serialize())

def write_table(self, channel, segments=None):
def write_table(self, channel):
# no segment placement
# no segment writing
self.write_mem(channel, self.channels[channel].table(segments))
self.write_mem(channel, self.channels[channel].table())

def write_segment(self, channel, segment):
# no collision check
s = self.channels[channel].segments[segment]
self.write_mem(channel, s.data, s.adr)

def multi_segment(self, times_voltages, channel, map=None, **kwargs):
warnings.warn("deprecated", DeprecationWarning)
c = self.channels[channel]
del c.segments[:]
for t, v in times_voltages:
c.segment(t, v, **kwargs)
return c.serialize(map)
def program(self, program):
self.clear_all()
for segment_data in program:
segments = [c.new_segment() for c in self.channels]
for line in segment_data:
dac_divider = line.get("dac_divider", 1)
shift = int(log2(dac_divider))
assert 2**shift == dac_divider
duration = line["duration"]
jump = line.get("jump", False)
wait_trigger = line.get("wait_trigger", False)
for segment, data in zip(segments, line.get("channel_data")):
assert len(data) == 1
for target, target_data in data.items():
getattr(segment, target)(
shift=shift, duration=duration,
wait_trigger=wait_trigger, jump=jump,
**target_data)
self.write_all()
92 changes: 92 additions & 0 deletions artiq/test/pdq2.py
@@ -0,0 +1,92 @@
import unittest
import os
import io

from artiq.devices.pdq2.driver import Pdq2


no_hardware = bool(os.getenv("ARTIQ_NO_HARDWARE")) \
or bool(os.getenv("ARTIQ_NO_PERIPHERALS"))

pdq2_source = os.getenv("ARTIQ_PDQ2_SOURCE")


class TestPdq2(unittest.TestCase):
def setUp(self):
self.dev = Pdq2(dev=io.BytesIO())

def test_reset(self):
self.dev.cmd("RESET", True)
buf = self.dev.dev.getvalue()
self.assertEqual(buf, b"\xa5\x00")

def test_program(self):
self.dev.program(_test_program)

@unittest.skipUnless(pdq2_source, "no pdq2 source and gateware")
def test_gateware(self):
self.dev.cmd("START", False)
self.dev.cmd("ARM", False)
self.dev.program(_test_program)
self.dev.cmd("START", True)
self.dev.cmd("ARM", True)
#self.dev.cmd("TRIGGER", True)
buf = self.dev.dev.getvalue()
import sys
sys.path.append(pdq2_source)
from gateware.pdq2 import Pdq2Sim
from migen.sim.generic import run_simulation
from matplotlib import pyplot as plt
import numpy as np
tb = Pdq2Sim(buf)
tb.ctrl_pads.trigger.reset = 0
run_simulation(tb, vcd_name="pdq2.vcd", ncycles=700)
out = np.array(tb.outputs, np.uint16).view(np.int16)
for outi in out[len(buf):].T:
plt.step(np.arange(len(outi)), outi)
plt.show()

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@sbourdeauducq

sbourdeauducq Apr 5, 2015

Member

I suppose you will remove the matplotlib stuff from the unit test later?

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@jordens

jordens Apr 5, 2015

Author Member

Once you make compute_samples powerful enough, I will replace the visual unittest by an automated one.

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@sbourdeauducq

sbourdeauducq Apr 5, 2015

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What do you mean by powerful enough?

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@jordens

jordens Apr 5, 2015

Author Member

Can it run that _test_program?

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@sbourdeauducq

sbourdeauducq Apr 5, 2015

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Except for silence afaict yes.

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@sbourdeauducq

sbourdeauducq Apr 5, 2015

Member

Didn't we say that silence was to be handled at the driver level and removed from programs?

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@sbourdeauducq

sbourdeauducq Apr 5, 2015

Member

And it expects wait_trigger and jump to be present in every line (and set to False when appropriate) but that's an easy fix.



_test_program = [
[
{
"duration": 20,
"channel_data": [
{"bias": {"amplitude": [0, 0, 2e-3]}},
{"bias": {"amplitude": [1, 0, -7.5e-3, 7.5e-4]}},
{"dds": {
"amplitude": [0, 0, 4e-3, 0],
"phase": [.5, .05],
}},
],
},
{
"duration": 40,
"channel_data": [
{"bias": {"amplitude": [.4, .04, -2e-3]}},
{"bias": {
"amplitude": [.5],
"silence": True,
}},
{"dds": {
"amplitude": [.8, .08, -4e-3, 0],
"phase": [.5, .05, .04/40],
"clear": True,
}},
],
},
{
"duration": 20,
"channel_data": [
{"bias": {"amplitude": [.4, -.04, 2e-3]}},
{"bias": {"amplitude": [.5, 0, -7.5e-3, 7.5e-4]}},
{"dds": {
"amplitude": [.8, -.08, 4e-3, 0],
"phase": [-.5],
}},
],
"wait_trigger": True,
"jump": True,
},
]
]

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