Deprecate/compute on step

CHANGELOG.md

@@ -22,6 +22,8 @@ and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0
 
 ### Deprecated
 
+- Deprecated method `compute_on_step` ([#792](https://github.com/PyTorchLightning/metrics/pull/792))
+
 
 ### Removed
 

docs/source/pages/implement.rst

@@ -64,7 +64,7 @@ The cache is first emptied on the next call to ``update``.
 
 ``forward`` serves the dual purpose of both returning the metric on the current data and updating the internal
 metric state for accumulating over multiple batches. The ``forward()`` method achieves this by combining calls
-to ``update`` and ``compute`` in the following way (assuming metric is initialized with ``compute_on_step=True``):
+to ``update`` and ``compute`` in the following way:
 
 1. Calls ``update()`` to update the global metric state (for accumulation over multiple batches)
 2. Caches the global state.

docs/source/pages/overview.rst

@@ -27,24 +27,32 @@ This metrics API is independent of PyTorch Lightning. Metrics can directly be us
  from torchmetrics.classification import Accuracy
 
  train_accuracy = Accuracy()
- valid_accuracy = Accuracy(compute_on_step=False)
+ valid_accuracy = Accuracy()
 
  for epoch in range(epochs):
  for x, y in train_data:
  y_hat = model(x)
 
  # training step accuracy
  batch_acc = train_accuracy(y_hat, y)
+ print(f"Accuracy of batch{i} is {batch_acc}")
 
  for x, y in valid_data:
  y_hat = model(x)
- valid_accuracy(y_hat, y)
+ valid_accuracy.update(y_hat, y)
 
- # total accuracy over all training batches
- total_train_accuracy = train_accuracy.compute()
+  # total accuracy over all training batches
+  total_train_accuracy = train_accuracy.compute()
 
- # total accuracy over all validation batches
- total_valid_accuracy = valid_accuracy.compute()
+ # total accuracy over all validation batches
+ total_valid_accuracy = valid_accuracy.compute()
+
+ print(f"Training acc for epoch {epoch}: {total_train_accuracy}")
+ print(f"Validation acc for epoch {epoch}: {total_valid_accuracy}")
+
+ # Reset metric states after each epoch
+ train_accuracy.reset()
+ valid_accuracy.reset()
 
 .. note::
 

tests/bases/test_composition.py

@@ -553,26 +553,3 @@ def test_compositional_metrics_update():
 
  assert compos.metric_a._num_updates == 3
  assert compos.metric_b._num_updates == 3
-
-
-@pytest.mark.parametrize("compute_on_step", [True, False])
-@pytest.mark.parametrize("metric_b", [4, DummyMetric(4)])
-def test_compositional_metrics_forward(compute_on_step, metric_b):
- """test forward method of compositional metrics."""
- metric_a = DummyMetric(5)
- metric_a.compute_on_step = compute_on_step
- compos = metric_a + metric_b
-
- assert isinstance(compos, CompositionalMetric)
- for _ in range(3):
- val = compos()
- assert val == 9 if compute_on_step else val is None
-
- assert isinstance(compos.metric_a, DummyMetric)
- assert compos.metric_a._num_updates == 3
-
- if isinstance(metric_b, DummyMetric):
- assert isinstance(compos.metric_b, DummyMetric)
- assert compos.metric_b._num_updates == 3
-
- compos.reset()

tests/wrappers/test_multioutput.py

@@ -24,7 +24,7 @@ def __init__(
  self,
  base_metric_class,
  num_outputs: int = 1,
- compute_on_step: bool = True,
+ compute_on_step: Optional[bool] = None,
  dist_sync_on_step: bool = False,
  process_group: Any = None,
  dist_sync_fn: Optional[Callable] = None,

torchmetrics/aggregation.py

@@ -34,8 +34,11 @@ class BaseAggregator(Metric):
  - a float: if a float is provided will impude any `nan` values with this value
 
  compute_on_step:
- Forward only calls ``update()`` and returns None if this is
- set to False.
+ Forward only calls ``update()`` and returns None if this is set to False.
+
+ .. deprecated:: v0.8
+ Argument has no use anymore and will be removed v0.9.
+
  dist_sync_on_step:
  Synchronize metric state across processes at each ``forward()``
  before returning the value at the step.
@@ -59,7 +62,7 @@ def __init__(
  fn: Union[Callable, str],
  default_value: Union[Tensor, List],
  nan_strategy: Union[str, float] = "error",
- compute_on_step: bool = True,
+ compute_on_step: Optional[bool] = None,
  dist_sync_on_step: bool = False,
  process_group: Optional[Any] = None,
  dist_sync_fn: Callable = None,
@@ -120,8 +123,11 @@ class MaxMetric(BaseAggregator):
  - a float: if a float is provided will impude any `nan` values with this value
 
  compute_on_step:
- Forward only calls ``update()`` and returns None if this is
- set to False.
+ Forward only calls ``update()`` and returns None if this is set to False.
+
+ .. deprecated:: v0.8
+ Argument has no use anymore and will be removed v0.9.
+
  dist_sync_on_step:
  Synchronize metric state across processes at each ``forward()``
  before returning the value at the step.
@@ -147,7 +153,7 @@ class MaxMetric(BaseAggregator):
  def __init__(
  self,
  nan_strategy: Union[str, float] = "warn",
- compute_on_step: bool = True,
+ compute_on_step: Optional[bool] = None,
  dist_sync_on_step: bool = False,
  process_group: Optional[Any] = None,
  dist_sync_fn: Callable = None,
@@ -185,8 +191,11 @@ class MinMetric(BaseAggregator):
  - a float: if a float is provided will impude any `nan` values with this value
 
  compute_on_step:
- Forward only calls ``update()`` and returns None if this is
- set to False.
+ Forward only calls ``update()`` and returns None if this is set to False.
+
+ .. deprecated:: v0.8
+ Argument has no use anymore and will be removed v0.9.
+
  dist_sync_on_step:
  Synchronize metric state across processes at each ``forward()``
  before returning the value at the step.
@@ -212,7 +221,7 @@ class MinMetric(BaseAggregator):
  def __init__(
  self,
  nan_strategy: Union[str, float] = "warn",
- compute_on_step: bool = True,
+ compute_on_step: Optional[bool] = None,
  dist_sync_on_step: bool = False,
  process_group: Optional[Any] = None,
  dist_sync_fn: Callable = None,
@@ -250,8 +259,11 @@ class SumMetric(BaseAggregator):
  - a float: if a float is provided will impude any `nan` values with this value
 
  compute_on_step:
- Forward only calls ``update()`` and returns None if this is
- set to False.
+ Forward only calls ``update()`` and returns None if this is set to False.
+
+ .. deprecated:: v0.8
+ Argument has no use anymore and will be removed v0.9.
+
  dist_sync_on_step:
  Synchronize metric state across processes at each ``forward()``
  before returning the value at the step.
@@ -277,7 +289,7 @@ class SumMetric(BaseAggregator):
  def __init__(
  self,
  nan_strategy: Union[str, float] = "warn",
- compute_on_step: bool = True,
+ compute_on_step: Optional[bool] = None,
  dist_sync_on_step: bool = False,
  process_group: Optional[Any] = None,
  dist_sync_fn: Callable = None,
@@ -308,8 +320,11 @@ class CatMetric(BaseAggregator):
  - a float: if a float is provided will impude any `nan` values with this value
 
  compute_on_step:
- Forward only calls ``update()`` and returns None if this is
- set to False.
+ Forward only calls ``update()`` and returns None if this is set to False.
+
+ .. deprecated:: v0.8
+ Argument has no use anymore and will be removed v0.9.
+
  dist_sync_on_step:
  Synchronize metric state across processes at each ``forward()``
  before returning the value at the step.
@@ -335,7 +350,7 @@ class CatMetric(BaseAggregator):
  def __init__(
  self,
  nan_strategy: Union[str, float] = "warn",
- compute_on_step: bool = True,
+ compute_on_step: Optional[bool] = None,
  dist_sync_on_step: bool = False,
  process_group: Optional[Any] = None,
  dist_sync_fn: Callable = None,
@@ -371,8 +386,11 @@ class MeanMetric(BaseAggregator):
  - a float: if a float is provided will impude any `nan` values with this value
 
  compute_on_step:
- Forward only calls ``update()`` and returns None if this is
- set to False.
+ Forward only calls ``update()`` and returns None if this is set to False.
+
+ .. deprecated:: v0.8
+ Argument has no use anymore and will be removed v0.9.
+
  dist_sync_on_step:
  Synchronize metric state across processes at each ``forward()``
  before returning the value at the step.
@@ -398,7 +416,7 @@ class MeanMetric(BaseAggregator):
  def __init__(
  self,
  nan_strategy: Union[str, float] = "warn",
- compute_on_step: bool = True,
+ compute_on_step: Optional[bool] = None,
  dist_sync_on_step: bool = False,
  process_group: Optional[Any] = None,
  dist_sync_fn: Callable = None,

torchmetrics/audio/pesq.py

@@ -44,7 +44,11 @@ class PerceptualEvaluationSpeechQuality(Metric):
  keep_same_device:
  whether to move the pesq value to the device of preds
  compute_on_step:
- Forward only calls ``update()`` and return ``None`` if this is set to ``False``.
+ Forward only calls ``update()`` and returns None if this is set to False.
+
+ .. deprecated:: v0.8
+ Argument has no use anymore and will be removed v0.9.
+
  dist_sync_on_step:
  Synchronize metric state across processes at each ``forward()``
  before returning the value at the step
@@ -89,7 +93,7 @@ def __init__(
  self,
  fs: int,
  mode: str,
- compute_on_step: bool = True,
+ compute_on_step: Optional[bool] = None,
  dist_sync_on_step: bool = False,
  process_group: Optional[Any] = None,
  dist_sync_fn: Optional[Callable[[Tensor], Tensor]] = None,

torchmetrics/audio/pit.py

@@ -39,6 +39,10 @@ class PermutationInvariantTraining(Metric):
  or the larger the better.
  compute_on_step:
  Forward only calls ``update()`` and returns None if this is set to False.
+
+ .. deprecated:: v0.8
+ Argument has no use anymore and will be removed v0.9.
+
  dist_sync_on_step:
  Synchronize metric state across processes at each ``forward()``
  before returning the value at the step.
@@ -78,7 +82,7 @@ def __init__(
  self,
  metric_func: Callable,
  eval_func: str = "max",
- compute_on_step: bool = True,
+ compute_on_step: Optional[bool] = None,
  dist_sync_on_step: bool = False,
  process_group: Optional[Any] = None,
  dist_sync_fn: Optional[Callable[[Tensor], Tensor]] = None,

torchmetrics/audio/sdr.py

@@ -49,6 +49,10 @@ class SignalDistortionRatio(Metric):
  signals may sometimes be zero
  compute_on_step:
  Forward only calls ``update()`` and returns None if this is set to False.
+
+ .. deprecated:: v0.8
+ Argument has no use anymore and will be removed v0.9.
+
  dist_sync_on_step:
  Synchronize metric state across processes at each ``forward()``
  before returning the value at the step.
@@ -110,7 +114,7 @@ def __init__(
  filter_length: int = 512,
  zero_mean: bool = False,
  load_diag: Optional[float] = None,
- compute_on_step: bool = True,
+ compute_on_step: Optional[bool] = None,
  dist_sync_on_step: bool = False,
  process_group: Optional[Any] = None,
  dist_sync_fn: Optional[Callable[[Tensor], Tensor]] = None,
@@ -168,6 +172,10 @@ class ScaleInvariantSignalDistortionRatio(Metric):
  if to zero mean target and preds or not
  compute_on_step:
  Forward only calls ``update()`` and returns None if this is set to False.
+
+ .. deprecated:: v0.8
+ Argument has no use anymore and will be removed v0.9.
+
  dist_sync_on_step:
  Synchronize metric state across processes at each ``forward()``
  before returning the value at the step.
@@ -206,7 +214,7 @@ class ScaleInvariantSignalDistortionRatio(Metric):
  def __init__(
  self,
  zero_mean: bool = False,
- compute_on_step: bool = True,
+ compute_on_step: Optional[bool] = None,
  dist_sync_on_step: bool = False,
  process_group: Optional[Any] = None,
  dist_sync_fn: Optional[Callable[[Tensor], Tensor]] = None,

torchmetrics/audio/snr.py

@@ -39,6 +39,10 @@ class SignalNoiseRatio(Metric):
  if to zero mean target and preds or not
  compute_on_step:
  Forward only calls ``update()`` and returns None if this is set to False.
+
+ .. deprecated:: v0.8
+ Argument has no use anymore and will be removed v0.9.
+
  dist_sync_on_step:
  Synchronize metric state across processes at each ``forward()``
  before returning the value at the step.
@@ -77,7 +81,7 @@ class SignalNoiseRatio(Metric):
  def __init__(
  self,
  zero_mean: bool = False,
- compute_on_step: bool = True,
+ compute_on_step: Optional[bool] = None,
  dist_sync_on_step: bool = False,
  process_group: Optional[Any] = None,
  dist_sync_fn: Optional[Callable[[Tensor], Tensor]] = None,
@@ -121,6 +125,10 @@ class ScaleInvariantSignalNoiseRatio(Metric):
  Args:
  compute_on_step:
  Forward only calls ``update()`` and returns None if this is set to False.
+
+ .. deprecated:: v0.8
+ Argument has no use anymore and will be removed v0.9.
+
  dist_sync_on_step:
  Synchronize metric state across processes at each ``forward()``
  before returning the value at the step.
@@ -159,7 +167,7 @@ class ScaleInvariantSignalNoiseRatio(Metric):
 
  def __init__(
  self,
- compute_on_step: bool = True,
+ compute_on_step: Optional[bool] = None,
  dist_sync_on_step: bool = False,
  process_group: Optional[Any] = None,
  dist_sync_fn: Optional[Callable[[Tensor], Tensor]] = None,

torchmetrics/audio/stoi.py

@@ -48,6 +48,10 @@ class ShortTimeObjectiveIntelligibility(Metric):
  whether to use the extended STOI described in [4]
  compute_on_step:
  Forward only calls ``update()`` and returns None if this is set to False.
+
+ .. deprecated:: v0.8
+ Argument has no use anymore and will be removed v0.9.
+
  dist_sync_on_step:
  Synchronize metric state across processes at each ``forward()``
  before returning the value at the step.
@@ -96,7 +100,7 @@ def __init__(
  self,
  fs: int,
  extended: bool = False,
- compute_on_step: bool = True,
+ compute_on_step: Optional[bool] = None,
  dist_sync_on_step: bool = False,
  process_group: Optional[Any] = None,
  dist_sync_fn: Optional[Callable[[Tensor], Tensor]] = None,

torchmetrics/classification/accuracy.py

@@ -127,7 +127,11 @@ class Accuracy(StatScores):
  still applies in both cases, if set.
 
  compute_on_step:
- Forward only calls ``update()`` and return ``None`` if this is set to ``False``.
+ Forward only calls ``update()`` and returns None if this is set to False.
+
+ .. deprecated:: v0.8
+ Argument has no use anymore and will be removed v0.9.
+
  dist_sync_on_step:
  Synchronize metric state across processes at each ``forward()``
  before returning the value at the step
@@ -179,7 +183,7 @@ def __init__(
  top_k: Optional[int] = None,
  multiclass: Optional[bool] = None,
  subset_accuracy: bool = False,
- compute_on_step: bool = True,
+ compute_on_step: Optional[bool] = None,
  dist_sync_on_step: bool = False,
  process_group: Optional[Any] = None,
  dist_sync_fn: Callable = None,