<no registered kernels> please help

[rushin236]

with tf.device("/job:localhost/replica:0/task:0/device:GPU:0"):
model = Sequential()
model.add(
Embedding(input_dim=max_num_words, input_length=seq_len, output_dim=embedding_size)
)
model.add(LSTM(units=25))
# model.add(Dense(128, activation="relu"))
model.add(Dense(64, activation="relu"))
model.add(Dense(3, activation="softmax"))

adam = Adam(learning_rate=0.001)
model.compile(optimizer=adam, loss="binary_crossentropy", metrics=["accuracy"])

model.fit(train_x, y, validation_split=0.1, epochs=3, batch_size=24)

InvalidArgumentError Traceback (most recent call last)
Cell In[14], line 14
11 adam = Adam(learning_rate=0.001)
12 model.compile(optimizer=adam, loss="binary_crossentropy", metrics=["accuracy"])
---> 14 model.fit(train_x, y, validation_split=0.1, epochs=3, batch_size=24)

File ~\anaconda3\envs\directml_tf2\lib\site-packages\keras\utils\traceback_utils.py:70, in filter_traceback..error_handler(*args, **kwargs)
67 filtered_tb = _process_traceback_frames(e.traceback)
68 # To get the full stack trace, call:
69 # tf.debugging.disable_traceback_filtering()
---> 70 raise e.with_traceback(filtered_tb) from None
71 finally:
72 del filtered_tb

File ~\anaconda3\envs\directml_tf2\lib\site-packages\tensorflow\python\eager\execute.py:54, in quick_execute(op_name, num_outputs, inputs, attrs, ctx, name)
52 try:
53 ctx.ensure_initialized()
---> 54 tensors = pywrap_tfe.TFE_Py_Execute(ctx._handle, device_name, op_name,
55 inputs, attrs, num_outputs)
56 except core._NotOkStatusException as e:
57 if name is not None:

InvalidArgumentError: Graph execution error:

No OpKernel was registered to support Op 'CudnnRNN' used by {{node CudnnRNN}} with these attrs: [seed=0, dropout=0, T=DT_FLOAT, input_mode="linear_input", direction="unidirectional", rnn_mode="lstm", seed2=0, is_training=true]
Registered devices: [CPU, GPU]
Registered kernels:

 [[CudnnRNN]]
 [[sequential_1/lstm/PartitionedCall]] [Op:__inference_train_function_4897]