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variable name fix FeedForward model

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This commit is contained in:
Dario Coscia
2023-09-13 12:48:55 +02:00
committed by Nicola Demo
parent 17464ceca9
commit 5a4c114d48
3 changed files with 29 additions and 29 deletions
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30
tests/test_model/test_mionet.py
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@@ -11,9 +11,9 @@ input_ = LabelTensor(data, input_vars)
def test_constructor():
branch_net1 = FeedForward(input_dimensons=1, output_dimensions=10)
branch_net2 = FeedForward(input_dimensons=2, output_dimensions=10)
trunk_net = FeedForward(input_dimensons=1, output_dimensions=10)
branch_net1 = FeedForward(input_dimensions=1, output_dimensions=10)
branch_net2 = FeedForward(input_dimensions=2, output_dimensions=10)
trunk_net = FeedForward(input_dimensions=1, output_dimensions=10)
networks = {branch_net1 : ['x'],
branch_net2 : ['x', 'y'],
trunk_net : ['z']}
@@ -23,9 +23,9 @@ def test_constructor():
def test_constructor_fails_when_invalid_inner_layer_size():
branch_net1 = FeedForward(input_dimensons=1, output_dimensions=10)
branch_net2 = FeedForward(input_dimensons=2, output_dimensions=10)
trunk_net = FeedForward(input_dimensons=1, output_dimensions=12)
branch_net1 = FeedForward(input_dimensions=1, output_dimensions=10)
branch_net2 = FeedForward(input_dimensions=2, output_dimensions=10)
trunk_net = FeedForward(input_dimensions=1, output_dimensions=12)
networks = {branch_net1 : ['x'],
branch_net2 : ['x', 'y'],
trunk_net : ['z']}
@@ -35,9 +35,9 @@ def test_constructor_fails_when_invalid_inner_layer_size():
aggregator='*')
def test_forward_extract_str():
branch_net1 = FeedForward(input_dimensons=1, output_dimensions=10)
branch_net2 = FeedForward(input_dimensons=1, output_dimensions=10)
trunk_net = FeedForward(input_dimensons=1, output_dimensions=10)
branch_net1 = FeedForward(input_dimensions=1, output_dimensions=10)
branch_net2 = FeedForward(input_dimensions=1, output_dimensions=10)
trunk_net = FeedForward(input_dimensions=1, output_dimensions=10)
networks = {branch_net1 : ['a'],
branch_net2 : ['b'],
trunk_net : ['c']}
@@ -47,9 +47,9 @@ def test_forward_extract_str():
model(input_)
def test_forward_extract_int():
branch_net1 = FeedForward(input_dimensons=1, output_dimensions=10)
branch_net2 = FeedForward(input_dimensons=1, output_dimensions=10)
trunk_net = FeedForward(input_dimensons=1, output_dimensions=10)
branch_net1 = FeedForward(input_dimensions=1, output_dimensions=10)
branch_net2 = FeedForward(input_dimensions=1, output_dimensions=10)
trunk_net = FeedForward(input_dimensions=1, output_dimensions=10)
networks = {branch_net1 : [0],
branch_net2 : [1],
trunk_net : [2]}
@@ -59,9 +59,9 @@ def test_forward_extract_int():
model(data)
def test_forward_extract_str_wrong():
branch_net1 = FeedForward(input_dimensons=1, output_dimensions=10)
branch_net2 = FeedForward(input_dimensons=1, output_dimensions=10)
trunk_net = FeedForward(input_dimensons=1, output_dimensions=10)
branch_net1 = FeedForward(input_dimensions=1, output_dimensions=10)
branch_net2 = FeedForward(input_dimensions=1, output_dimensions=10)
trunk_net = FeedForward(input_dimensions=1, output_dimensions=10)
networks = {branch_net1 : ['a'],
branch_net2 : ['b'],
trunk_net : ['c']}