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Add sub, neg and log methods to pygrad.tensor

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Aodhnait Étaín 2020-11-16 00:44:12 +00:00
parent de084e8ce3
commit 12d229e502
1 changed files with 31 additions and 0 deletions
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31
pygrad/tensor.py
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@ -36,6 +36,16 @@ class Tensor:
tensor._back = back tensor._back = back
return tensor return tensor
def sub(self, other):
tensor = Tensor(np.add(self.value, other.value))
tensor._save(self, other)
def back(upstream):
return np.dot(np.ones_like(self.value).T, upstream), -np.dot(np.ones_like(self.value).T, upstream)
tensor._back = back
return tensor
def mul(self, other): def mul(self, other):
tensor = Tensor(np.dot(self.value, other.value)) tensor = Tensor(np.dot(self.value, other.value))
tensor._save(self, other) tensor._save(self, other)
@ -58,6 +68,16 @@ class Tensor:
tensor._back = back tensor._back = back
return tensor return tensor
def neg(self):
tensor = Tensor(-self.value)
tensor._save(self)
def back(upstream):
return [np.dot(-np.ones_like(self.value), upstream)]
tensor._back = back
return tensor
def expt(self, exponent): def expt(self, exponent):
tensor = Tensor(self.value ** exponent) tensor = Tensor(self.value ** exponent)
tensor._save(self) tensor._save(self)
@ -91,6 +111,17 @@ class Tensor:
tensor._back = back tensor._back = back
return tensor return tensor
def log(self):
tensor = Tensor(np.log(self.value))
tensor._save(self)
def back(upstream):
a, = tensor._parents
return [np.dot(1 / a.value, upstream)]
tensor._back = back
return tensor
def tanh(self): def tanh(self):
tensor = Tensor(np.tanh(self.value)) tensor = Tensor(np.tanh(self.value))
tensor._save(self) tensor._save(self)