ekalda commented on a change in pull request #9627:
URL: https://github.com/apache/tvm/pull/9627#discussion_r764004004
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File path: python/tvm/relay/backend/contrib/ethosu/legalize.py
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@@ -194,6 +205,48 @@ def __call__(self, *args, **kwargs):
pass
+def sigmoid_calc_func(x):
Review comment:
Done
##########
File path: python/tvm/relay/backend/contrib/ethosu/legalize.py
##########
@@ -125,30 +125,30 @@ def __call__(self, *args, **kwargs):
pass
-def find_tanh_values(ifm_scale, ifm_zp, ofm_scale, ofm_zp):
- """Method to calculate the values of the tanh lookup table"""
+def get_lut_from_func(ifm_scale, ifm_zp, ofm_scale, ofm_zp, func):
+ """Method to calculate the values of the lookup table based on the
calculation function"""
lut_values = list()
# Only int8 is currently supported
dtype = np.int8
qmin, qmax = np.iinfo(dtype).min, np.iinfo(dtype).max
for x in range(qmin, qmax + 1):
x_real = ifm_scale * (x - ifm_zp)
- out_real = math.tanh(x_real)
+ out_real = func(x_real)
lut_result = int(util.round_away_zero(ofm_zp + out_real / ofm_scale))
lut_result = min(qmax, max(qmin, lut_result))
lut_values.append(lut_result)
return lut_values
-class TanhRewriter(DFPatternCallback):
- """This pass adds tanh as a LUT to the identity operator"""
+class LutActivationRewriter(DFPatternCallback):
+ """A class to create an identity operator with the LUT"""
- def __init__(self):
+ def __init__(self, params_class, activation_type, calc_func):
Review comment:
Done
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