def model(a):
with tape_lib.GradientTape() as tape:
tape.watch(a)
result = unified_math_ops.log1p(a)
grads = tape.gradient(result, a)
return grads
def model(a):
return unified_math_ops.log1p(a)
def model(a):
with tape_lib.GradientTape() as tape:
tape.watch(a)
result = unified_math_ops.log1p(a)
grads = tape.gradient(result, a)
return grads
def model(a):
return unified_math_ops.log1p(a)