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5 changes: 0 additions & 5 deletions python/tvm/relay/frontend/tflite.py
Original file line number Diff line number Diff line change
Expand Up @@ -2432,11 +2432,6 @@ def convert_reverse_sequence(self, op):
except ImportError:
raise ImportError("The tflite package must be installed")

if self.is_quantized(op):
raise tvm.error.OpNotImplemented(
"TFLite does not support quantized REVERSE_SEQUENCE operator yet."
)

input_tensors = self.get_input_tensors(op)
assert len(input_tensors) == 2, "input tensors length should be 2"

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35 changes: 25 additions & 10 deletions tests/python/frontend/tflite/test_forward.py
Original file line number Diff line number Diff line change
Expand Up @@ -4272,28 +4272,43 @@ def test_forward_spacetodepth():
#######################################################################
# ReverseSequence
# ---------------


def _test_reverse_sequence(shape, dtype, seq_lengths, batch_axis, seq_axis):
def _test_reverse_sequence(shape, dtype, seq_lengths, batch_axis, seq_axis, quantized=False):
"""One iteration of reverse_sequence operation with given data and attributes"""

data = np.random.uniform(0, 100, size=shape).astype(dtype)
with tf.Graph().as_default():
in_data = array_ops.placeholder(dtype=dtype, name="input", shape=shape)
out = tf.reverse_sequence(
in_data, seq_lengths=seq_lengths, batch_axis=batch_axis, seq_axis=seq_axis
)

compare_tflite_with_tvm(data, "input", [in_data], [out])
in_data = array_ops.placeholder(dtype="float32", name="in_0", shape=shape)
if quantized:
inq_data = tf.quantization.fake_quant_with_min_max_args(
in_data, min=0, max=10, name="inq_0"
)
input_range = {"inq_0": (-10, 10)}
out = tf.reverse_sequence(
inq_data, seq_lengths=seq_lengths, batch_axis=batch_axis, seq_axis=seq_axis
)
out = tf.quantization.fake_quant_with_min_max_args(out, min=0, max=6, name="out")
compare_tflite_with_tvm(
data, "inq_0:0", [inq_data], [out], quantized=True, input_range=input_range
)
else:
out = tf.reverse_sequence(
in_data, seq_lengths=seq_lengths, batch_axis=batch_axis, seq_axis=seq_axis
)
compare_tflite_with_tvm(data, "in_0:0", [in_data], [out])


def test_forward_reverse_sequence():
"""Tests the reverse_sequence function with different input shapes, data types."""
if package_version.parse(tf.VERSION) >= package_version.parse("1.14.0"):
_test_reverse_sequence([4, 3], "float32", [3, 2, 1], 1, 0)
_test_reverse_sequence([4, 3], "float32", [3, 2, 1, 3], 0, 1)
_test_reverse_sequence([2, 3, 3, 3], "float32", [2, 3, 2], 2, 1)
_test_reverse_sequence([2, 4, 6, 4, 5], "float32", [5, 3], 0, 2)
_test_reverse_sequence([2, 4, 6, 4, 5], "float32", [5, 3, 1, 4], 3, 2)
_test_reverse_sequence([4, 3], "uint8", [3, 2, 1], 1, 0, quantized=True)
_test_reverse_sequence([4, 3], "uint8", [3, 2, 1, 3], 0, 1, quantized=True)
_test_reverse_sequence([2, 3, 3, 3], "uint8", [2, 3, 2], 2, 1, quantized=True)
_test_reverse_sequence([2, 4, 6, 4, 5], "uint8", [5, 3], 0, 2, quantized=True)
_test_reverse_sequence([2, 4, 6, 4, 5], "uint8", [5, 3, 1, 4], 3, 2, quantized=True)


#######################################################################
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