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Correct spells #609

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merged 1 commit into from
Mar 26, 2020
Merged

Correct spells #609

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36 changes: 18 additions & 18 deletions python/test/test_grad.py
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Original file line number Diff line number Diff line change
Expand Up @@ -83,7 +83,7 @@ def test_resnet_expansion(seed, ctx, auto_forward, flag_grad_outputs, shared):
if not auto_forward:
F.sink(*grads, one_input_grad=1).forward()

# Check between results of var.bacwkard and nn.grad
# Check between results of var.backward and nn.grad
backend = ctx.backend[0].split(":")[0]
if backend == 'cuda':
pytest.skip('CUDA Convolution N-D is only supported in CUDNN extension')
Expand Down Expand Up @@ -132,7 +132,7 @@ def test_multiple_objectives(seed, ctx, auto_forward):
if not auto_forward:
F.sink(*grads, one_input_grad=1).forward()

# Check between results of var.bacwkard and nn.grad
# Check between results of var.backward and nn.grad
for inp, grad in zip(inputs, grads):
assert_allclose(
inp.g, grad.d, atol=1e-6)
Expand Down Expand Up @@ -190,36 +190,36 @@ def test_grad_outputs(seed, ctx, auto_forward, type_grad_outputs):
@pytest.mark.parametrize("ctx", ctx_list)
@pytest.mark.parametrize("auto_forward", [True, False])
def test_shared_leaf_variable_basic_arithmetics(seed, ctx, auto_forward):
def add(x, derivate=0):
if derivate == 0:
def add(x, derivative=0):
if derivative == 0:
return x + x + x
if derivate == 1:
if derivative == 1:
return 3 * np.ones_like(x)
if derivate == 2:
if derivative == 2:
return np.zeros_like(x)

def sub(x, derivate=0):
if derivate == 0:
def sub(x, derivative=0):
if derivative == 0:
return x - x - x
if derivate == 1:
if derivative == 1:
return -1 * np.ones_like(x)
if derivate == 2:
if derivative == 2:
return np.zeros_like(x)

def mul(x, derivate=0):
if derivate == 0:
def mul(x, derivative=0):
if derivative == 0:
return x * x * x
if derivate == 1:
if derivative == 1:
return 3 * x ** 2
if derivate == 2:
if derivative == 2:
return 6 * x

def div(x, derivate=0):
if derivate == 0:
def div(x, derivative=0):
if derivative == 0:
return x / x / x
if derivate == 1:
if derivative == 1:
return - x ** -2
if derivate == 2:
if derivative == 2:
return 2 * x ** -3

# Settings
Expand Down