Module: sarpyx.utils.complex_losses-OLD
File: sarpyx/utils/complex_losses-OLD.py
No module docstring available; module purpose is inferred from implementation.
Exported Symbols (__all__)
No explicit __all__ list. Public symbols inferred from implementation.
Public Functions (14)
loss_split_mse function
inferred from implementation.
File location: sarpyx/utils/complex_losses-OLD.py:5
Signature
loss_split_mse(pred: torch.Tensor, target: torch.Tensor)Parameters
| Parameter | Type | Required | Default | Description |
|---|---|---|---|---|
pred | torch.Tensor | yes | - | inferred from implementation. |
target | torch.Tensor | yes | - | inferred from implementation. |
Return Type
inferred from implementation
inferred from implementation.
Exceptions
None explicitly documented; inferred from implementation.
Side Effects
- inferred from implementation
Example Usage
from sarpyx.utils.complex_losses-OLD import loss_split_mse
result = loss_split_mse(pred=<pred>, target=<target>)Edge Cases
No explicit edge-case section found; behavior is inferred from implementation.
loss_complex_l2 function
inferred from implementation.
File location: sarpyx/utils/complex_losses-OLD.py:9
Signature
loss_complex_l2(pred: torch.Tensor, target: torch.Tensor)Parameters
| Parameter | Type | Required | Default | Description |
|---|---|---|---|---|
pred | torch.Tensor | yes | - | inferred from implementation. |
target | torch.Tensor | yes | - | inferred from implementation. |
Return Type
inferred from implementation
inferred from implementation.
Exceptions
None explicitly documented; inferred from implementation.
Side Effects
- inferred from implementation
Example Usage
from sarpyx.utils.complex_losses-OLD import loss_complex_l2
result = loss_complex_l2(pred=<pred>, target=<target>)Edge Cases
No explicit edge-case section found; behavior is inferred from implementation.
loss_complex_l1 function
inferred from implementation.
File location: sarpyx/utils/complex_losses-OLD.py:13
Signature
loss_complex_l1(pred: torch.Tensor, target: torch.Tensor)Parameters
| Parameter | Type | Required | Default | Description |
|---|---|---|---|---|
pred | torch.Tensor | yes | - | inferred from implementation. |
target | torch.Tensor | yes | - | inferred from implementation. |
Return Type
inferred from implementation
inferred from implementation.
Exceptions
None explicitly documented; inferred from implementation.
Side Effects
- inferred from implementation
Example Usage
from sarpyx.utils.complex_losses-OLD import loss_complex_l1
result = loss_complex_l1(pred=<pred>, target=<target>)Edge Cases
No explicit edge-case section found; behavior is inferred from implementation.
loss_mag_l2 function
inferred from implementation.
File location: sarpyx/utils/complex_losses-OLD.py:17
Signature
loss_mag_l2(pred: torch.Tensor, target: torch.Tensor)Parameters
| Parameter | Type | Required | Default | Description |
|---|---|---|---|---|
pred | torch.Tensor | yes | - | inferred from implementation. |
target | torch.Tensor | yes | - | inferred from implementation. |
Return Type
inferred from implementation
inferred from implementation.
Exceptions
None explicitly documented; inferred from implementation.
Side Effects
- inferred from implementation
Example Usage
from sarpyx.utils.complex_losses-OLD import loss_mag_l2
result = loss_mag_l2(pred=<pred>, target=<target>)Edge Cases
No explicit edge-case section found; behavior is inferred from implementation.
loss_log_mag function
inferred from implementation.
File location: sarpyx/utils/complex_losses-OLD.py:20
Signature
loss_log_mag(pred: torch.Tensor, target: torch.Tensor, eps=1e-06)Parameters
| Parameter | Type | Required | Default | Description |
|---|---|---|---|---|
pred | torch.Tensor | yes | - | inferred from implementation. |
target | torch.Tensor | yes | - | inferred from implementation. |
eps | inferred from implementation | no | 1e-06 | inferred from implementation. |
Return Type
inferred from implementation
inferred from implementation.
Exceptions
None explicitly documented; inferred from implementation.
Side Effects
- inferred from implementation
Example Usage
from sarpyx.utils.complex_losses-OLD import loss_log_mag
result = loss_log_mag(pred=<pred>, target=<target>)Edge Cases
Includes optional parameters with implementation-defined fallback behavior.
loss_amp_phase function
inferred from implementation.
File location: sarpyx/utils/complex_losses-OLD.py:24
Signature
loss_amp_phase(pred: torch.Tensor, target: torch.Tensor, w_phase=1.0)Parameters
| Parameter | Type | Required | Default | Description |
|---|---|---|---|---|
pred | torch.Tensor | yes | - | inferred from implementation. |
target | torch.Tensor | yes | - | inferred from implementation. |
w_phase | inferred from implementation | no | 1.0 | inferred from implementation. |
Return Type
inferred from implementation
inferred from implementation.
Exceptions
None explicitly documented; inferred from implementation.
Side Effects
- inferred from implementation
Example Usage
from sarpyx.utils.complex_losses-OLD import loss_amp_phase
result = loss_amp_phase(pred=<pred>, target=<target>)Edge Cases
Includes optional parameters with implementation-defined fallback behavior.
loss_power_consistency function
inferred from implementation.
File location: sarpyx/utils/complex_losses-OLD.py:30
Signature
loss_power_consistency(pred: torch.Tensor, target: torch.Tensor)Parameters
| Parameter | Type | Required | Default | Description |
|---|---|---|---|---|
pred | torch.Tensor | yes | - | inferred from implementation. |
target | torch.Tensor | yes | - | inferred from implementation. |
Return Type
inferred from implementation
inferred from implementation.
Exceptions
None explicitly documented; inferred from implementation.
Side Effects
- inferred from implementation
Example Usage
from sarpyx.utils.complex_losses-OLD import loss_power_consistency
result = loss_power_consistency(pred=<pred>, target=<target>)Edge Cases
No explicit edge-case section found; behavior is inferred from implementation.
loss_symmetry function
inferred from implementation.
File location: sarpyx/utils/complex_losses-OLD.py:35
Signature
loss_symmetry(pred: torch.Tensor, sym_op)Parameters
| Parameter | Type | Required | Default | Description |
|---|---|---|---|---|
pred | torch.Tensor | yes | - | inferred from implementation. |
sym_op | inferred from implementation | yes | - | inferred from implementation. |
Return Type
inferred from implementation
inferred from implementation.
Exceptions
None explicitly documented; inferred from implementation.
Side Effects
- inferred from implementation
Example Usage
from sarpyx.utils.complex_losses-OLD import loss_symmetry
result = loss_symmetry(pred=<pred>, sym_op=<sym_op>)Edge Cases
No explicit edge-case section found; behavior is inferred from implementation.
loss_complex_tv function
inferred from implementation.
File location: sarpyx/utils/complex_losses-OLD.py:40
Signature
loss_complex_tv(pred: torch.Tensor, p=1)Parameters
| Parameter | Type | Required | Default | Description |
|---|---|---|---|---|
pred | torch.Tensor | yes | - | inferred from implementation. |
p | inferred from implementation | no | 1 | inferred from implementation. |
Return Type
inferred from implementation
inferred from implementation.
Exceptions
None explicitly documented; inferred from implementation.
Side Effects
- inferred from implementation
Example Usage
from sarpyx.utils.complex_losses-OLD import loss_complex_tv
result = loss_complex_tv(pred=<pred>)Edge Cases
Includes optional parameters with implementation-defined fallback behavior.
loss_phase_smooth function
inferred from implementation.
File location: sarpyx/utils/complex_losses-OLD.py:48
Signature
loss_phase_smooth(pred: torch.Tensor)Parameters
| Parameter | Type | Required | Default | Description |
|---|---|---|---|---|
pred | torch.Tensor | yes | - | inferred from implementation. |
Return Type
inferred from implementation
inferred from implementation.
Exceptions
None explicitly documented; inferred from implementation.
Side Effects
- inferred from implementation
Example Usage
from sarpyx.utils.complex_losses-OLD import loss_phase_smooth
result = loss_phase_smooth(pred=<pred>)Edge Cases
No explicit edge-case section found; behavior is inferred from implementation.
loss_grad_match function
inferred from implementation.
File location: sarpyx/utils/complex_losses-OLD.py:55
Signature
loss_grad_match(pred: torch.Tensor, target: torch.Tensor)Parameters
| Parameter | Type | Required | Default | Description |
|---|---|---|---|---|
pred | torch.Tensor | yes | - | inferred from implementation. |
target | torch.Tensor | yes | - | inferred from implementation. |
Return Type
inferred from implementation
inferred from implementation.
Exceptions
None explicitly documented; inferred from implementation.
Side Effects
- inferred from implementation
Example Usage
from sarpyx.utils.complex_losses-OLD import loss_grad_match
result = loss_grad_match(pred=<pred>, target=<target>)Edge Cases
No explicit edge-case section found; behavior is inferred from implementation.
loss_speckle_nll function
inferred from implementation.
File location: sarpyx/utils/complex_losses-OLD.py:73
Signature
loss_speckle_nll(pred: torch.Tensor, target: torch.Tensor, variance: float=1.0)Parameters
| Parameter | Type | Required | Default | Description |
|---|---|---|---|---|
pred | torch.Tensor | yes | - | inferred from implementation. |
target | torch.Tensor | yes | - | inferred from implementation. |
variance | float | no | 1.0 | inferred from implementation. |
Return Type
inferred from implementation
inferred from implementation.
Exceptions
None explicitly documented; inferred from implementation.
Side Effects
- inferred from implementation
Example Usage
from sarpyx.utils.complex_losses-OLD import loss_speckle_nll
result = loss_speckle_nll(pred=<pred>, target=<target>)Edge Cases
Includes optional parameters with implementation-defined fallback behavior.
loss_adversarial function
inferred from implementation.
File location: sarpyx/utils/complex_losses-OLD.py:80
Signature
loss_adversarial(pred: torch.Tensor, discriminator, real_label=1.0, fake_label=0.0)Parameters
| Parameter | Type | Required | Default | Description |
|---|---|---|---|---|
pred | torch.Tensor | yes | - | inferred from implementation. |
discriminator | inferred from implementation | yes | - | inferred from implementation. |
real_label | inferred from implementation | no | 1.0 | inferred from implementation. |
fake_label | inferred from implementation | no | 0.0 | inferred from implementation. |
Return Type
inferred from implementation
inferred from implementation.
Exceptions
None explicitly documented; inferred from implementation.
Side Effects
- inferred from implementation
Example Usage
from sarpyx.utils.complex_losses-OLD import loss_adversarial
result = loss_adversarial(pred=<pred>, discriminator=<discriminator>)Edge Cases
Includes optional parameters with implementation-defined fallback behavior.
loss_feature function
inferred from implementation.
File location: sarpyx/utils/complex_losses-OLD.py:87
Signature
loss_feature(pred: torch.Tensor, target: torch.Tensor, feature_extractor)Parameters
| Parameter | Type | Required | Default | Description |
|---|---|---|---|---|
pred | torch.Tensor | yes | - | inferred from implementation. |
target | torch.Tensor | yes | - | inferred from implementation. |
feature_extractor | inferred from implementation | yes | - | inferred from implementation. |
Return Type
inferred from implementation
inferred from implementation.
Exceptions
None explicitly documented; inferred from implementation.
Side Effects
- inferred from implementation
Example Usage
from sarpyx.utils.complex_losses-OLD import loss_feature
result = loss_feature(pred=<pred>, target=<target>, feature_extractor=<feature_extractor>)Edge Cases
No explicit edge-case section found; behavior is inferred from implementation.
Public Classes (1)
ComplexLossComposite class
inferred from implementation.
File location: sarpyx/utils/complex_losses-OLD.py:92
Class Signature
class ComplexLossCompositeConstructor Parameters
Return Type
ComplexLossComposite instances.
Exceptions
Construction/runtime exceptions are inferred from implementation and method-level documentation.
Side Effects
See method-level side effects below.
Example Usage
from sarpyx.utils.complex_losses-OLD import ComplexLossComposite
obj = ComplexLossComposite(...) # inferred from implementation
Edge Cases
No class-level edge-case section is explicitly documented; rely on method-level checks and raised exceptions.
Public Methods (0)
No public methods detected.