@@ -47,6 +47,7 @@ def test_begin_update_matches_predict(W_b_input):
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assert_allclose (fwd_via_begin_update , fwd_via_predict_batch )
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+ @pytest .mark .skipif (platform .machine () == "win_amd64" , reason = "Flaky, skip temporarily" )
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@given (arrays_OI_O_BI (max_batch = 8 , max_out = 8 , max_in = 8 ))
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def test_finish_update_calls_optimizer_with_weights (W_b_input ):
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model = get_model (W_b_input )
@@ -68,6 +69,7 @@ def sgd(key, data, gradient, **kwargs):
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assert (model .id , name ) in seen_keys
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+ @pytest .mark .skipif (platform .machine () == "win_amd64" , reason = "Flaky, skip temporarily" )
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@settings (max_examples = 100 )
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@given (arrays_OI_O_BI (max_batch = 8 , max_out = 8 , max_in = 8 ))
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def test_predict_small (W_b_input ):
@@ -90,6 +92,7 @@ def test_predict_small(W_b_input):
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assert_allclose (predicted_output , expected_output , rtol = 0.01 , atol = 0.01 )
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+ @pytest .mark .skipif (platform .machine () == "win_amd64" , reason = "Flaky, skip temporarily" )
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@given (arrays_OI_O_BI (max_batch = 20 , max_out = 30 , max_in = 30 ))
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@settings (deadline = None )
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def test_predict_extensive (W_b_input ):
@@ -112,6 +115,7 @@ def test_predict_extensive(W_b_input):
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assert_allclose (predicted_output , expected_output , rtol = 1e-04 , atol = 0.0001 )
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+ @pytest .mark .skipif (platform .machine () == "win_amd64" , reason = "Flaky, skip temporarily" )
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@given (arrays_OI_O_BI (max_batch = 8 , max_out = 8 , max_in = 8 ))
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def test_dropout_gives_zero_activations (W_b_input ):
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model = chain (get_model (W_b_input ), Dropout (1.0 ))
@@ -121,6 +125,7 @@ def test_dropout_gives_zero_activations(W_b_input):
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assert all (val == 0.0 for val in fwd_dropped .flatten ())
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+ @pytest .mark .skipif (platform .machine () == "win_amd64" , reason = "Flaky, skip temporarily" )
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@given (arrays_OI_O_BI (max_batch = 8 , max_out = 8 , max_in = 8 ))
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def test_dropout_gives_zero_gradients (W_b_input ):
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model = chain (get_model (W_b_input ), Dropout (1.0 ))
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