#13685: Move sweep test

.github/workflows/ttnn-run-sweeps.yaml

@@ -232,7 +232,6 @@ on:
           - eltwise.binary_backward.ldexp_bw
           - eltwise.binary_backward.logaddexp_bw
           - eltwise.binary_backward.logaddexp2_bw
-          - eltwise.binary_backward.embedding_bw.embedding_bw
           - eltwise.binary_backward.addalpha_bw.addalpha_bw
           - eltwise.binary_backward.subalpha_bw.subalpha_bw
           - eltwise.binary_backward.xlogy_bw.xlogy_bw
@@ -263,6 +262,7 @@ on:
           - eltwise.ternary_backward.addcmul_bw
           - eltwise.ternary_backward.addcdiv_bw
           - embedding.embedding
+          - embedding_bw.embedding_bw
           - reduction.topk.topk
           - reduction.argmax.argmax
           - reduction.prod

tests/sweep_framework/sweeps/eltwise/binary_backward/embedding_bw/embedding_bw.py → tests/sweep_framework/sweeps/embedding_bw/embedding_bw.py

@@ -6,19 +6,13 @@
 from functools import partial
 
 import torch
-import random
 import ttnn
 from tests.sweep_framework.sweep_utils.utils import gen_shapes
 from tests.tt_eager.python_api_testing.sweep_tests.generation_funcs import gen_func_with_cast_tt
 
 from tests.ttnn.utils_for_testing import check_with_pcc, start_measuring_time, stop_measuring_time
 from models.utility_functions import torch_random
 
-# Override the default timeout in seconds for hang detection.
-TIMEOUT = 30
-
-random.seed(0)
-
 
 # Parameters provided to the test vector generator are defined here.
 # They are defined as dict-type suites that contain the arguments to the run function as keys, and lists of possible inputs as values.
@@ -91,8 +85,7 @@ def run(
     *,
     device,
 ) -> list:
-    data_seed = random.randint(0, 20000000)
-    torch.manual_seed(data_seed)
+    torch.manual_seed(0)
 
     batch_size, seq_length, embeddings_dim, num_embeddings = embedding_args