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Fix Embedding test with ragged tensors on GPU. #21177

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merged 1 commit into from
Apr 17, 2025
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Fix Embedding test with ragged tensors on GPU. #21177

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11 changes: 7 additions & 4 deletions keras/src/testing/test_case.py
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Original file line number Diff line number Diff line change
Expand Up @@ -16,7 +16,7 @@
from keras.src.backend.common import standardize_dtype
from keras.src.backend.common.global_state import clear_session
from keras.src.backend.common.keras_tensor import KerasTensor
from keras.src.losses.losses import MeanSquaredError
from keras.src.losses.loss import Loss
from keras.src.models import Model
from keras.src.utils import traceback_utils

Expand Down Expand Up @@ -446,6 +446,11 @@ def data_generator():
while True:
yield data

# Single op loss to avoid compilation issues with ragged / sparse.
class TestLoss(Loss):
def __call__(self, y_true, y_pred, sample_weight=None):
return ops.sum(y_pred)

# test the "default" path for each backend by setting
# jit_compile="auto".
# for tensorflow and jax backends auto is jitted
Expand All @@ -463,9 +468,7 @@ def data_generator():
if backend.backend() == "tensorflow" and input_sparse:
jit_compile = False
model.compile(
optimizer="sgd",
loss=MeanSquaredError(reduction="sum"),
jit_compile=jit_compile,
optimizer="sgd", loss=TestLoss(), jit_compile=jit_compile
)
model.fit(data_generator(), steps_per_epoch=1, verbose=0)

Expand Down