def testMixedTypeMathDoubleMode(self):
switchable = FpBinarySwitchable(fp_mode=False, float_value=15.25)
fp_bin = FpBinary(10, 8, signed=True, value=-0.25)
self.assertEqual(switchable + fp_bin, 15.0)
self.assertTrue(isinstance(switchable + fp_bin, FpBinarySwitchable))
self.assertEqual(fp_bin + switchable, 15.0)
self.assertFalse((fp_bin + switchable).fp_mode)
self.assertTrue(isinstance((fp_bin + switchable).value, float))
self.assertTrue(isinstance(fp_bin + switchable, FpBinarySwitchable))
self.assertEqual(switchable + -0.25, 15.0)
self.assertTrue(isinstance(switchable + -0.25, FpBinarySwitchable))
self.assertEqual(-0.25 + switchable, 15.0)
self.assertFalse((-0.25 + switchable).fp_mode)
self.assertTrue(isinstance((-0.25 + switchable).value, float))
self.assertTrue(isinstance(-0.25 + switchable, FpBinarySwitchable))
switchable = FpBinarySwitchable(fp_mode=False, float_value=15.25)
fp_bin = FpBinary(10, 8, signed=True, value=20.5)
self.assertEqual(switchable - fp_bin, -5.25)
self.assertTrue(isinstance(switchable - fp_bin, FpBinarySwitchable))
self.assertEqual(fp_bin - switchable, 5.25)
self.assertFalse((fp_bin - switchable).fp_mode)
self.assertTrue(isinstance((fp_bin - switchable).value, float))
self.assertTrue(isinstance(fp_bin - switchable, FpBinarySwitchable))
self.assertEqual(switchable - 20.5, -5.25)
self.assertTrue(isinstance(switchable - 20.5, FpBinarySwitchable))
self.assertEqual(20.5 - switchable, 5.25)
self.assertFalse((20.5 - switchable).fp_mode)
self.assertTrue(isinstance((20.5 - switchable).value, float))
self.assertTrue(isinstance(20.5 - switchable, FpBinarySwitchable))
switchable = FpBinarySwitchable(fp_mode=False, float_value=-3.125)
fp_bin = FpBinary(10, 8, signed=True, value=-2.0)
self.assertEqual(switchable * fp_bin, 6.25)
self.assertTrue(isinstance(switchable * fp_bin, FpBinarySwitchable))
self.assertEqual(fp_bin * switchable, 6.25)
self.assertFalse((fp_bin * switchable).fp_mode)
self.assertTrue(isinstance((fp_bin * switchable).value, float))
self.assertTrue(isinstance(fp_bin * switchable, FpBinarySwitchable))
self.assertEqual(switchable * -2.0, 6.25)
self.assertTrue(isinstance(switchable * -2.0, FpBinarySwitchable))
self.assertEqual(-2.0 * switchable, 6.25)
self.assertFalse((-2.0 * switchable).fp_mode)
self.assertTrue(isinstance((-2.0 * switchable).value, float))
self.assertTrue(isinstance(-2.0 * switchable, FpBinarySwitchable))
switchable = FpBinarySwitchable(fp_mode=False, float_value=3.0)
fp_bin = FpBinary(10, 8, signed=True, value=1.5)
self.assertEqual(switchable / fp_bin, 2.0)
self.assertTrue(isinstance(switchable / fp_bin, FpBinarySwitchable))
self.assertEqual(fp_bin / switchable, 0.5)
self.assertFalse((fp_bin / switchable).fp_mode)
self.assertTrue(isinstance((fp_bin / switchable).value, float))
self.assertTrue(isinstance(fp_bin / switchable, FpBinarySwitchable))
self.assertEqual(switchable / 1.5, 2.0)
self.assertTrue(isinstance(switchable / 1.5, FpBinarySwitchable))
self.assertEqual(1.5 / switchable, 0.5)
self.assertFalse((1.5 / switchable).fp_mode)
self.assertTrue(isinstance((1.5 / switchable).value, float))
self.assertTrue(isinstance(1.5 / switchable, FpBinarySwitchable))
def testFormatProperty(self):
fp_num = FpBinarySwitchable(True, fp_value=FpBinary(8, 8, signed=True, value=-56.89))
self.assertEqual(fp_num.format, (8, 8))
fp_num = FpBinarySwitchable(True, fp_value=FpBinary(-2, 8, signed=True, value=-0.0625))
self.assertEqual(fp_num.format, (-2, 8))
fp_num = FpBinarySwitchable(True, fp_value=FpBinary(10, -4, signed=True, value=32.0))
self.assertEqual(fp_num.format, (10, -4))
# Check floating point mode doesn't raise an exception
fp_num = FpBinarySwitchable(False, float_value=1.3125)
the_format = fp_num.format
def img_to_bin(source, dest, val_line=1):
"""Write image to binary file."""
os.makedirs(dest, exist_ok=True)
img_fixed, img_float, img_bin = [], [], []
tmp_fixed, tmp_float = [], []
for index, item in enumerate(np.nditer(source)):
# write to first position of line (order needed at BRAM)
item_fixed = to_binary_string(FpBinary(8, 0, signed=False, value=item))
tmp_fixed.insert(0, item_fixed)
tmp_float.insert(0, "%s %d " % (item_fixed, item))
img_bin.append(int(item_fixed, 2).to_bytes(1, byteorder="big"))
if (index + 1) % val_line == 0:
img_fixed.extend(tmp_fixed + ["\n"])
tmp_fixed = []
img_float.extend(tmp_float + ["\n"])
tmp_float = []
with open(dest + "/IMAGE.txt", "w") as outfile:
outfile.write("".join(img_fixed))
with open(dest + "/IMAGE_DEBUG.txt", "w") as outfile:
outfile.write("".join(img_float))
with open(dest + "/IMAGE.bin", "wb") as outfile:
outfile.write(b"".join(img_bin))
def testCopy(self):
fp_num = FpBinarySwitchable(True, fp_value=FpBinary(10, 10, signed=True, value=1.3125))
fp_num.value = fp_num - 1.0
fp_num.value = fp_num + 10.0
fp_num.value = FpBinarySwitchable(True, fp_value=FpBinary(10, 10, signed=True, value=1.3125))
fp_copy = copy.copy(fp_num)
self.assertTrue(test_utils.fp_binary_instances_are_totally_equal(fp_num, fp_copy))
self.assertFalse(fp_num is fp_copy)
fp_num = FpBinarySwitchable(False, float_value=1.3125)
# Provide some min and max values
fp_num.value = fp_num - 1.0
fp_num.value = fp_num + 10.0
fp_num.value = 1.3125
fp_copy = copy.copy(fp_num)
self.assertTrue(test_utils.fp_binary_instances_are_totally_equal(fp_num, fp_copy))
self.assertFalse(fp_num is fp_copy)
def testBitShifts(self):
# fp mode
switchable = FpBinarySwitchable(fp_mode=True, fp_value=FpBinary(16, 16, signed=True, value=5.875))
self.assertEqual(switchable << long(2), 23.5)
self.assertEqual(switchable >> long(3), 0.734375)
# double mode (shifts are mult/div by 2
switchable = FpBinarySwitchable(fp_mode=False, float_value=5.875)
self.assertEqual(switchable << long(2), 23.5)
self.assertEqual(switchable >> long(3), 0.734375)
def testCopy(self):
fp_num = FpBinarySwitchable(True, fp_value=FpBinary(10, 10, signed=True, value=1.3125))
fp_copy = copy.copy(fp_num)
self.assertEqual(fp_num, fp_copy)
self.assertFalse(fp_num is fp_copy)
fp_num = FpBinarySwitchable(False, float_value=1.3125)
fp_copy = copy.copy(fp_num)
self.assertEqual(fp_num, fp_copy)
self.assertFalse(fp_num is fp_copy)
def testResizeFpMode(self):
# Wrap b01.0101 -> b01.01
fp_num = FpBinarySwitchable(True,
fp_value=FpBinary(10, 10, signed=True, value=1.3125),
float_value=4.5)
self.assertEqual(fp_num.resize((2, 2), overflow_mode=OverflowEnum.wrap,
round_mode=RoundingEnum.direct_neg_inf), 1.25)
self.assertEqual(fp_num.format, (2, 2))
# Round Up b01.0101 -> b01.011
fp_num = FpBinarySwitchable(True,
fp_value=FpBinary(10, 10, signed=True, value=1.3125),
float_value=4.5)
self.assertEqual(fp_num.resize((2, 3), overflow_mode=OverflowEnum.wrap,
round_mode=RoundingEnum.near_pos_inf), 1.375)
self.assertEqual(fp_num.format, (2, 3))
# Check no exception with floating point mode
fp_num = FpBinarySwitchable(False, float_value=54.000987)
fp_num.resize((2, 2), overflow_mode=OverflowEnum.wrap,
round_mode=RoundingEnum.direct_neg_inf)
def create_stimuli(root, bitwidth, leaky, sample_cnt: int = 1):
a_rand = random_fixed_array((sample_cnt), bitwidth)
a_in = v_to_fixedint(a_rand)
np.savetxt(join(root, "src", "input_" + "leaky" * leaky + ".csv"),
a_in,
delimiter=", ",
fmt="%3d")
a_out = (relu(a_rand) if not leaky else leaky_relu(
a_rand, FpBinary(int_bits=0, frac_bits=3, value=0.125)))
np.savetxt(join(root, "src", "output_" + "leaky" * leaky + ".csv"),
v_to_fixedint(a_out),
delimiter=", ",
fmt="%3d")
def testValueSet(self):
# Exception when in fp mode and set to object that isn't instance of
# FpBinary or FpBinarySwitchable
switchable = FpBinarySwitchable(fp_mode=True, fp_value=FpBinary(16, 16, signed=True, value=67.3453))
with self.assertRaises(TypeError):
switchable.value = object()
with self.assertRaises(TypeError):
switchable.value = 1.0
with self.assertRaises(TypeError):
switchable.value = 56
# Exception when not in fp mode and set to object that can't be cast
# to a float
switchable = FpBinarySwitchable(fp_mode=False, float_value=-45367.12345)
with self.assertRaises(TypeError):
switchable.value = object()
with self.assertRaises(TypeError):
switchable.value = 'test'
# Valid types when in fp mode: FpBinary and FpBinarySwitchable
switchable = FpBinarySwitchable(fp_mode=True, fp_value=FpBinary(16, 16, signed=True, value=-0.00123))
switchable.value = FpBinary(16, 16, signed=False, value=0.125)
self.assertEqual(switchable, 0.125)
self.assertEqual(switchable.value, 0.125)
switchable.value = FpBinarySwitchable(fp_mode=True, fp_value=FpBinary(16, 16, signed=True, value=-0.0625))
self.assertEqual(switchable, -0.0625)
self.assertEqual(switchable.value, -0.0625)
# Valid types when not in fp mode: float castable
switchable = FpBinarySwitchable(fp_mode=False, float_value=0.0001234)
switchable.value = -678.987
self.assertEqual(switchable, -678.987)
self.assertEqual(switchable.value, -678.987)
switchable.value = 45
self.assertEqual(switchable, 45)
self.assertEqual(switchable.value, 45)
def numpy_inference(onnx_model, input_):
"""Calculate the inference of a given input with a given model."""
weights_dict = {}
for init in onnx_model.graph.initializer:
weights_dict[init.name] = numpy_helper.to_array(init)
next_input = input_
for node in onnx_model.graph.node:
params = parse_param.parse_node_attributes(node)
if node.op_type == "Conv":
raise NotSupportedError(f"Layer {node.op_type} not supported.")
if node.op_type == "QLinearConv":
pad = parse_param.get_pad(params)
if pad:
next_input = cnn_reference.zero_pad(next_input, pad)
ksize, stride = parse_param.get_kernel_params(params)
int_bits_weights = 8 - int(math.log2(weights_dict[node.input[4]]))
frac_bits_weights = int(math.log2(weights_dict[node.input[4]]))
weights = to_fixed_point_array(weights_dict[node.input[3]],
int_bits=int_bits_weights,
frac_bits=frac_bits_weights)
bias = to_fixed_point_array(weights_dict[node.input[8]],
int_bits=int_bits_weights,
frac_bits=frac_bits_weights)
bitwidth_out = (
8 - int(math.log2(weights_dict[node.input[6]])),
int(math.log2(weights_dict[node.input[6]])),
)
next_input = cnn_reference.conv(next_input, weights, bias,
(ksize, stride), bitwidth_out)
elif node.op_type == "MaxPool":
ksize, stride = parse_param.get_kernel_params(params)
next_input = cnn_reference.max_pool(next_input, ksize, stride)
elif node.op_type == "GlobalAveragePool":
next_input = cnn_reference.avg_pool(next_input)
elif node.op_type == "Relu":
next_input = cnn_reference.relu(next_input)
elif node.op_type == "LeakyRelu":
next_input = cnn_reference.leaky_relu(
next_input, FpBinary(int_bits=0, frac_bits=3, value=0.125))
return next_input
def testDoubleVsFpModeMath(self):
# fixed point mode takes precedence
double_num = FpBinarySwitchable(fp_mode=False, float_value=1.5)
fp_num = FpBinarySwitchable(fp_mode=True, fp_value=FpBinary(10, 3, signed=True, value=3.0))
self.assertEqual(double_num + fp_num, 4.5)
self.assertTrue((double_num + fp_num).fp_mode)
self.assertTrue(isinstance((double_num + fp_num).value, FpBinary))
self.assertEqual(fp_num + double_num, 4.5)
self.assertTrue((fp_num + double_num).fp_mode)
self.assertTrue(isinstance((fp_num + double_num).value, FpBinary))
self.assertEqual(double_num - fp_num, -1.5)
self.assertTrue((double_num - fp_num).fp_mode)
self.assertTrue(isinstance((double_num - fp_num).value, FpBinary))
self.assertEqual(fp_num - double_num, 1.5)
self.assertTrue((fp_num - double_num).fp_mode)
self.assertTrue(isinstance((fp_num - double_num).value, FpBinary))
self.assertEqual(double_num * fp_num, 4.5)
self.assertTrue((double_num * fp_num).fp_mode)
self.assertTrue(isinstance((double_num * fp_num).value, FpBinary))
self.assertEqual(fp_num * double_num, 4.5)
self.assertTrue((fp_num * double_num).fp_mode)
self.assertTrue(isinstance((fp_num * double_num).value, FpBinary))
self.assertEqual(double_num / fp_num, 0.5)
self.assertTrue((double_num / fp_num).fp_mode)
self.assertTrue(isinstance((double_num / fp_num).value, FpBinary))
self.assertEqual(fp_num / double_num, 2.0)
self.assertTrue((fp_num / double_num).fp_mode)
self.assertTrue(isinstance((fp_num * double_num).value, FpBinary))
def build_create_params_fpswitchable_non_fpmode(int_bits, frac_bits, val):
return (False,
FpBinary(int_bits=int_bits,
frac_bits=frac_bits,
signed=True,
value=val), val)
def testBasicMathFpMode(self):
# Negate
fpNum = FpBinarySwitchable(fp_mode=True, fp_value=FpBinary(10, 16, signed=True, value=12.125))
self.assertEqual(-fpNum, -12.125)
self.assertTrue((-fpNum).fp_mode)
self.assertTrue(isinstance((-fpNum).value, FpBinary))
fpNum = FpBinarySwitchable(fp_mode=True, fp_value=FpBinary(-7, 20, signed=True, value=0.0001220703125))
self.assertEqual(-fpNum, -0.0001220703125)
self.assertTrue((-fpNum).fp_mode)
self.assertTrue(isinstance((-fpNum).value, FpBinary))
fpNum = FpBinarySwitchable(fp_mode=True, fp_value=FpBinary(16, -8, signed=True, value=1024.0))
self.assertEqual(-fpNum, -1024.0)
self.assertTrue((-fpNum).fp_mode)
self.assertTrue(isinstance((-fpNum).value, FpBinary))
# Add
fpNum1 = FpBinarySwitchable(fp_mode=True, fp_value=FpBinary(10, 16, signed=True, value=15.25))
fpNum2 = FpBinarySwitchable(fp_mode=True, fp_value=FpBinary(10, 16, signed=True, value=-0.25))
self.assertEqual(fpNum1 + fpNum2, 15.0)
self.assertTrue((fpNum1 + fpNum2).fp_mode)
self.assertTrue(isinstance((fpNum1 + fpNum2).value, FpBinary))
self.assertTrue(isinstance(fpNum1 + fpNum2, FpBinarySwitchable))
fpNum1 = FpBinarySwitchable(fp_mode=True, fp_value=FpBinary(10, 16, signed=True, value=15.03125))
fpNum2 = FpBinarySwitchable(fp_mode=True, fp_value=FpBinary(-3, 19, signed=True, value=-0.03125))
self.assertEqual(fpNum1 + fpNum2, 15.0)
self.assertTrue((fpNum1 + fpNum2).fp_mode)
self.assertTrue(isinstance((fpNum1 + fpNum2).value, FpBinary))
self.assertTrue(isinstance(fpNum1 + fpNum2, FpBinarySwitchable))
fpNum1 = FpBinarySwitchable(fp_mode=True, fp_value=FpBinary(10, 16, signed=True, value=15.0))
fpNum2 = FpBinarySwitchable(fp_mode=True, fp_value=FpBinary(10, -3, signed=True, value=8.0))
self.assertEqual(fpNum1 + fpNum2, 23.0)
self.assertTrue((fpNum1 + fpNum2).fp_mode)
self.assertTrue(isinstance((fpNum1 + fpNum2).value, FpBinary))
self.assertTrue(isinstance(fpNum1 + fpNum2, FpBinarySwitchable))
# Subtract
fpNum1 = FpBinarySwitchable(fp_mode=True, fp_value=FpBinary(10, 16, signed=True, value=15.25))
fpNum2 = FpBinarySwitchable(fp_mode=True, fp_value=FpBinary(10, 16, signed=True, value=-0.25))
self.assertEqual(fpNum1 - fpNum2, 15.5)
self.assertTrue((fpNum1 - fpNum2).fp_mode)
self.assertTrue(isinstance((fpNum1 - fpNum2).value, FpBinary))
self.assertTrue(isinstance(fpNum1 - fpNum2, FpBinarySwitchable))
fpNum1 = FpBinarySwitchable(fp_mode=True, fp_value=FpBinary(10, 16, signed=True, value=15.03125))
fpNum2 = FpBinarySwitchable(fp_mode=True, fp_value=FpBinary(-3, 19, signed=True, value=-0.03125))
self.assertEqual(fpNum1 - fpNum2, 15.0625)
self.assertTrue((fpNum1 - fpNum2).fp_mode)
self.assertTrue(isinstance((fpNum1 - fpNum2).value, FpBinary))
self.assertTrue(isinstance(fpNum1 - fpNum2, FpBinarySwitchable))
fpNum1 = FpBinarySwitchable(fp_mode=True, fp_value=FpBinary(10, 16, signed=True, value=15.0))
fpNum2 = FpBinarySwitchable(fp_mode=True, fp_value=FpBinary(10, -3, signed=True, value=8.0))
self.assertEqual(fpNum1 - fpNum2, 7.0)
self.assertTrue((fpNum1 - fpNum2).fp_mode)
self.assertTrue(isinstance((fpNum1 + fpNum2).value, FpBinary))
self.assertTrue(isinstance(fpNum1 + fpNum2, FpBinarySwitchable))
# Multiply
fpNum1 = FpBinarySwitchable(fp_mode=True, fp_value=FpBinary(100, 16, signed=True, value=0.0625))
fpNum2 = FpBinarySwitchable(fp_mode=True, fp_value=FpBinary(10, 16, signed=True, value=2.0))
self.assertEqual(fpNum1 * fpNum2, 0.125)
self.assertTrue((fpNum1 * fpNum2).fp_mode)
self.assertTrue(isinstance((fpNum1 * fpNum2).value, FpBinary))
self.assertTrue(isinstance(fpNum1 * fpNum2, FpBinarySwitchable))
fpNum1 = FpBinarySwitchable(fp_mode=True, fp_value=FpBinary(-3, 19, signed=True, value=-0.03125))
fpNum2 = FpBinarySwitchable(fp_mode=True, fp_value=FpBinary(10, 16, signed=True, value=6.25))
self.assertEqual(fpNum1 * fpNum2, -0.1953125)
self.assertTrue((fpNum1 * fpNum2).fp_mode)
self.assertTrue(isinstance((fpNum1 * fpNum2).value, FpBinary))
self.assertTrue(isinstance(fpNum1 * fpNum2, FpBinarySwitchable))
fpNum1 = FpBinarySwitchable(fp_mode=True, fp_value=FpBinary(10, 16, signed=True, value=2.5))
fpNum2 = FpBinarySwitchable(fp_mode=True, fp_value=FpBinary(12, -3, signed=True, value=-72.0))
self.assertEqual(fpNum1 * fpNum2, -180.0)
self.assertTrue((fpNum1 * fpNum2).fp_mode)
self.assertTrue(isinstance((fpNum1 + fpNum2).value, FpBinary))
self.assertTrue(isinstance(fpNum1 + fpNum2, FpBinarySwitchable))
# Divide
fpNum1 = FpBinarySwitchable(fp_mode=True, fp_value=FpBinary(5, 5, signed=True, value=-3.0))
fpNum2 = FpBinarySwitchable(fp_mode=True, fp_value=FpBinary(5, 5, signed=True, value=2.0))
self.assertEqual(fpNum1 / fpNum2, -1.5)
self.assertTrue((fpNum1 / fpNum2).fp_mode)
self.assertTrue(isinstance((fpNum1 / fpNum2).value, FpBinary))
self.assertTrue(isinstance(fpNum1 / fpNum2, FpBinarySwitchable))
fpNum1 = FpBinarySwitchable(fp_mode=True, fp_value=FpBinary(-3, 19, signed=True, value=0.03125))
fpNum2 = FpBinarySwitchable(fp_mode=True, fp_value=FpBinary(10, 16, signed=True, value=-0.03125))
self.assertEqual(fpNum1 / fpNum2, -1.0)
self.assertTrue((fpNum1 / fpNum2).fp_mode)
self.assertTrue(isinstance((fpNum1 / fpNum2).value, FpBinary))
self.assertTrue(isinstance(fpNum1 / fpNum2, FpBinarySwitchable))
fpNum1 = FpBinarySwitchable(fp_mode=True, fp_value=FpBinary(10, 16, signed=True, value=80.0))
fpNum2 = FpBinarySwitchable(fp_mode=True, fp_value=FpBinary(8, -3, signed=True, value=-40.0))
self.assertEqual(fpNum1 / fpNum2, -2.0)
self.assertTrue((fpNum1 / fpNum2).fp_mode)
self.assertTrue(isinstance((fpNum1 + fpNum2).value, FpBinary))
self.assertTrue(isinstance(fpNum1 + fpNum2, FpBinarySwitchable))
# ABS
fpNum = FpBinarySwitchable(fp_mode=True, fp_value=FpBinary(10, 16, signed=True, value=-12.125))
self.assertEqual(abs(fpNum), 12.125)
self.assertTrue(abs(fpNum).fp_mode)
self.assertTrue(isinstance(abs(fpNum).value, FpBinary))
self.assertTrue(isinstance(abs(fpNum1), FpBinarySwitchable))
fpNum = FpBinarySwitchable(fp_mode=True, fp_value=FpBinary(10, 16, signed=True, value=12.125))
self.assertEqual(abs(fpNum), 12.125)
fpNum = FpBinarySwitchable(fp_mode=True, fp_value=FpBinary(-3, 19, signed=True, value=-0.0234375))
self.assertEqual(abs(fpNum), 0.0234375)
self.assertTrue(abs(fpNum).fp_mode)
self.assertTrue(isinstance(abs(fpNum).value, FpBinary))
self.assertTrue(isinstance(abs(fpNum1), FpBinarySwitchable))
fpNum = FpBinarySwitchable(fp_mode=True, fp_value=FpBinary(-3, 19, signed=True, value=0.0234375))
self.assertEqual(abs(fpNum), 0.0234375)
fpNum = FpBinarySwitchable(fp_mode=True, fp_value=FpBinary(16, -8, signed=True, value=-256.0))
self.assertEqual(abs(fpNum), 256.0)
self.assertTrue(abs(fpNum).fp_mode)
self.assertTrue(isinstance(abs(fpNum).value, FpBinary))
self.assertTrue(isinstance(abs(fpNum1), FpBinarySwitchable))
fpNum = FpBinarySwitchable(fp_mode=True, fp_value=FpBinary(16, -8, signed=True, value=256.0))
self.assertEqual(abs(fpNum), 256.0)
and op1.max_value == op2.max_value
and fp_binary_instances_are_totally_equal(
op1.value, op2.value))
return (op1 == op2)
# ================================================================================
# Generating and getting back pickled data from multiple versions.
# This includes FpBinary and FpBinarySwitchable instances
# ================================================================================
pickle_static_file_prefix = 'pickletest'
pickle_static_file_dir = 'data'
pickle_static_data = [
FpBinary(8, 8, signed=True, value=0.01234),
FpBinary(8, 8, signed=True, value=-3.01234),
FpBinary(8, 8, signed=False, value=0.01234),
FpBinary(64 - 2, 2, signed=True, value=56.789),
FpBinary(64 - 2, 2, signed=False, value=56.789),
FpBinarySwitchable(fp_mode=False,
fp_value=FpBinary(16, 16, signed=True, value=5.875)),
FpBinarySwitchable(fp_mode=False, float_value=-45.6),
# All ones, small size
FpBinary(64 - 2, 2, signed=True, bit_field=(1 << 64) - 1),
FpBinary(64 - 2, 2, signed=False, bit_field=(1 << 64) - 1),
FpBinary(64 - 2, 3, signed=True, value=56436.25),
FpBinary(64 - 2, 3, signed=False, value=56436.25),
FpBinarySwitchable(fp_mode=True, fp_value=FpBinary(64 - 2, 2,
signed=True)),
import math
from collections import deque
from fpbinary import FpBinary, OverflowEnum, RoundingEnum
# ======================================
# Basic FIR Demo
data_path_len = 32
# Just a delay filter
filter_len = 11
filter_coeffs = int(filter_len / 2) * [FpBinary(2, 30, value=0.0)] + \
[FpBinary(2, 30, value=1.0)] + \
int(filter_len / 2) * [FpBinary(2, 30, value=0.0)]
# 32 bit data
delay_line = deque(filter_len * [FpBinary(2, 30, value=0.0)], filter_len)
def fir_next_sample(sample):
# Allow for hardware specs
guard_bits = int(math.log(filter_len, 2)) + 1
adder_bits = 48
adder_in_format = (2 + guard_bits, adder_bits - 2 - guard_bits)
output_format = (2 + guard_bits, 32 - 2 - guard_bits)
# Ensure data is correct format
delay_line.appendleft(
sample.resize(format=delay_line[0], overflow_mode=OverflowEnum.wrap))
accum = 0.0
for tap, coeff in zip(delay_line, filter_coeffs):
def testPickle(self):
# Instances with min and max values set
fp1 = FpBinarySwitchable(fp_mode=True, fp_value=FpBinary(16, 16, signed=True, value=5.875),
float_value=5.875)
fp1.value = FpBinary(16, 16, signed=True, value=-34.5)
fp1.value = FpBinary(16, 16, signed=True, value=34.5)
fp2 = FpBinarySwitchable(fp_mode=False, fp_value=FpBinary(16, 16, signed=True, value=5.875),
float_value=5.875)
fp2.value = FpBinary(16, 16, signed=True, value=-34.5)
fp2.value = FpBinary(16, 16, signed=True, value=34.5)
fp3 = FpBinarySwitchable(fp_mode=False, fp_value=FpBinary(16, 16, signed=True, value=5.875),
float_value=5.875)
fp3.value = -56.98
fp3.value = 26
fp_list = [
FpBinarySwitchable(fp_mode=True, fp_value=FpBinary(16, 16, signed=True, value=5.875)),
FpBinarySwitchable(fp_mode=False, fp_value=FpBinary(16, 16, signed=True, value=5.875)),
FpBinarySwitchable(fp_mode=False, float_value=-45.6),
# Extreme sized FpBinary instances
FpBinarySwitchable(fp_mode=True, fp_value=FpBinary(test_utils.get_small_type_size() - 2, 2, signed=True)),
FpBinarySwitchable(fp_mode=True, fp_value=FpBinary(test_utils.get_small_type_size() - 2, 3, signed=True)),
FpBinarySwitchable(fp_mode=True, fp_value=FpBinary(test_utils.get_small_type_size(),
test_utils.get_small_type_size(), signed=True,
bit_field=(1 << (test_utils.get_small_type_size() + 5)) + 23)),
FpBinarySwitchable(fp_mode=True, fp_value=FpBinary(test_utils.get_small_type_size(),
test_utils.get_small_type_size(), signed=False,
bit_field=(1 << (test_utils.get_small_type_size() * 2)) - 1)),
fp1,
fp2,
fp3,
]
for pickle_lib in pickle_libs:
unpickled = None
# Test saving of individual objects
for test_case in fp_list:
with open(pickle_test_file_name, 'wb') as f:
pickle_lib.dump(test_case, f, pickle_lib.HIGHEST_PROTOCOL)
with open(pickle_test_file_name, 'rb') as f:
unpickled = pickle_lib.load(f)
self.assertTrue(
test_utils.fp_binary_instances_are_totally_equal(test_case, unpickled))
# Test that the unpickled object is usable
self.assertEqual(test_case + 1.0, unpickled + 1.0)
self.assertEqual(test_case * 2.0, unpickled * 2.0)
# With append
remove_pickle_file()
for test_case in fp_list:
with open(pickle_test_file_name, 'ab') as f:
pickle_lib.dump(test_case, f, pickle_lib.HIGHEST_PROTOCOL)
unpickled = []
with open(pickle_test_file_name, 'rb') as f:
while True:
try:
unpickled.append(pickle_lib.load(f))
except:
break
for expected, loaded in zip(fp_list, unpickled):
self.assertTrue(
test_utils.fp_binary_instances_are_totally_equal(expected, loaded))
# Test saving of list of objects
with open(pickle_test_file_name, 'wb') as f:
pickle_lib.dump(fp_list, f, pickle_lib.HIGHEST_PROTOCOL)
with open(pickle_test_file_name, 'rb') as f:
unpickled = pickle_lib.load(f)
for expected, loaded in zip(fp_list, unpickled):
self.assertTrue(
test_utils.fp_binary_instances_are_totally_equal(expected, loaded))
# Test that the unpickled object is usable
self.assertEqual(expected - 2, loaded - 2)
self.assertEqual(expected * 3, loaded * 3)
def testBasicMathFpMode(self):
fpNum = FpBinarySwitchable(fp_mode=True, fp_value=FpBinary(10, 16, signed=True, value=12.125))
self.assertEqual(-fpNum, -12.125)
self.assertTrue((-fpNum).fp_mode)
self.assertTrue(isinstance((-fpNum).value, FpBinary))
fpNum1 = FpBinarySwitchable(fp_mode=True, fp_value=FpBinary(10, 16, signed=True, value=15.25))
fpNum2 = FpBinarySwitchable(fp_mode=True, fp_value=FpBinary(10, 16, signed=True, value=-0.25))
self.assertEqual(fpNum1 + fpNum2, 15.0)
self.assertTrue((fpNum1 + fpNum2).fp_mode)
self.assertTrue(isinstance((fpNum1 + fpNum2).value, FpBinary))
self.assertTrue(isinstance(fpNum1 + fpNum2, FpBinarySwitchable))
fpNum1 = FpBinarySwitchable(fp_mode=True, fp_value=FpBinary(10, 16, signed=True, value=15.25))
fpNum2 = FpBinarySwitchable(fp_mode=True, fp_value=FpBinary(10, 16, signed=True, value=-0.25))
self.assertEqual(fpNum1 - fpNum2, 15.5)
self.assertTrue((fpNum1 - fpNum2).fp_mode)
self.assertTrue(isinstance((fpNum1 - fpNum2).value, FpBinary))
self.assertTrue(isinstance(fpNum1 - fpNum2, FpBinarySwitchable))
fpNum1 = FpBinarySwitchable(fp_mode=True, fp_value=FpBinary(100, 16, signed=True, value=0.0625))
fpNum2 = FpBinarySwitchable(fp_mode=True, fp_value=FpBinary(10, 16, signed=True, value=2.0))
self.assertEqual(fpNum1 * fpNum2, 0.125)
self.assertTrue((fpNum1 * fpNum2).fp_mode)
self.assertTrue(isinstance((fpNum1 * fpNum2).value, FpBinary))
self.assertTrue(isinstance(fpNum1 * fpNum2, FpBinarySwitchable))
fpNum1 = FpBinarySwitchable(fp_mode=True, fp_value=FpBinary(5, 5, signed=True, value=-3.0))
fpNum2 = FpBinarySwitchable(fp_mode=True, fp_value=FpBinary(5, 5, signed=True, value=2.0))
self.assertEqual(fpNum1 / fpNum2, -1.5)
self.assertTrue((fpNum1 / fpNum2).fp_mode)
self.assertTrue(isinstance((fpNum1 / fpNum2).value, FpBinary))
self.assertTrue(isinstance(fpNum1 / fpNum2, FpBinarySwitchable))
fpNum = FpBinarySwitchable(fp_mode=True, fp_value=FpBinary(10, 16, signed=True, value=-12.125))
self.assertEqual(abs(fpNum), 12.125)
self.assertTrue(abs(fpNum).fp_mode)
self.assertTrue(isinstance(abs(fpNum).value, FpBinary))
self.assertTrue(isinstance(abs(fpNum1), FpBinarySwitchable))
fpNum = FpBinarySwitchable(fp_mode=True, fp_value=FpBinary(10, 16, signed=True, value=12.125))
self.assertEqual(abs(fpNum), 12.125)
from fpbinary import FpBinary, OverflowEnum, RoundingEnum
# New fixed point number from float value
FpBinary(int_bits=4, frac_bits=4, signed=True, value=2.5)
# New fixed point number from float value, format set by another instance
FpBinary(format_inst=FpBinary(int_bits=4, frac_bits=4, signed=True, value=2.5),
signed=True,
value=2.5)
# The (int_bits, frac_bits) tuple can be accessed via the format property
FpBinary(4, 6).format
# If you are dealing with massive numbers such that the float value doesn't have
# enough precision, you can define your value as a bit field (type int)
fp_massive = FpBinary(int_bits=128,
frac_bits=128,
signed=True,
bit_field=(1 << 255) + 1)
# The default string rep uses floats, but the str_ex() method outputs a string that
# preserves precision
fp_massive
fp_massive.str_ex()
# The format can have negative int_bits or negative frac_bits so long as the total
# bits is greater than 0. The meaning of a negative format value is that number of
# bits is removed from the other format part, but the extreme bit position remains
# the same. E.g.:
#
# a format of (-2, 10) gives 8 fractional bits, 0 integer bits and the fractional
def testDoubleVsFpModeBasic(self):
switchable_double = FpBinarySwitchable(fp_mode=False, float_value=1.0 / 3.0)
switchable_fp = FpBinarySwitchable(fp_mode=True, fp_value=FpBinary(10, 3, signed=True, value=(1.0 / 3.0)))
self.assertNotEqual(switchable_double, switchable_fp)
self.assertEqual(switchable_double, 1.0 / 3.0)
self.assertEqual(switchable_fp, 0.375)
def gamma_fp(gamma):
gamma_fp_value = FpBinary(int_bits=8,
frac_bits=0,
signed=False,
value=gamma)
return gamma_fp_value
return (op1.fp_mode == op2.fp_mode and op1.min_value == op2.min_value and
op1.max_value == op2.max_value and
fp_binary_instances_are_totally_equal(op1.value, op2.value))
return (op1 == op2)
# ================================================================================
# Generating and getting back pickled data from multiple versions.
# This includes FpBinary and FpBinarySwitchable instances
# ================================================================================
pickle_static_file_prefix = 'pickletest'
pickle_static_file_dir = 'data'
pickle_static_data = [
FpBinary(8, 8, signed=True, value=0.01234),
FpBinary(8, 8, signed=True, value=-3.01234),
FpBinary(8, 8, signed=False, value=0.01234),
FpBinary(get_small_type_size() - 2, 2, signed=True, value=56.789),
FpBinary(get_small_type_size() - 2, 2, signed=False, value=56.789),
FpBinarySwitchable(fp_mode=False, fp_value=FpBinary(16, 16, signed=True, value=5.875)),
FpBinarySwitchable(fp_mode=False, float_value=-45.6),
# All ones, small size
FpBinary(get_small_type_size() - 2, 2, signed=True,
bit_field=(1 << get_small_type_size()) - 1),
FpBinary(get_small_type_size() - 2, 2, signed=False,
bit_field=(1 << get_small_type_size()) - 1),