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[TFLite][Frontend] Support quantized LOCAL_RESPONSE_NORMALIZATION #17111

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[TFLite][Frontend] Support quantized LOCAL_RESPONSE_NORMALIZATION #17111

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74784e6
adding quantization and its test case
PandaTinker Jun 22, 2024
9695957
fix pytest dtype for quantization, formatting
PandaTinker Jun 22, 2024
de8558e
fix typo in placeholder name
PandaTinker Jun 23, 2024
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8 changes: 5 additions & 3 deletions python/tvm/relay/frontend/tflite.py
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Original file line number Diff line number Diff line change
Expand Up @@ -803,9 +803,6 @@ def convert_lrn(self, op):
except ImportError:
raise ImportError("The tflite package must be installed")

if self.is_quantized(op):
raise tvm.error.OpNotImplemented("TFlite quantized LRN operator is not supported yet.")

input_tensors = self.get_input_tensors(op)
assert len(input_tensors) == 1, "input tensors length should be 1"
input_tensor = input_tensors[0]
Expand All @@ -825,7 +822,12 @@ def convert_lrn(self, op):
size = (radius * 2) + 1
alpha = alpha * size
axis = 3 # NHWC format

if input_tensor.qnn_params:
in_expr = self.dequantize(in_expr, input_tensor)
out = _op.nn.lrn(in_expr, size=size, axis=axis, bias=bias, alpha=alpha, beta=beta)
if output_tensors.qnn_params:
out = self.quantize(out, output_tensors)

return out

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11 changes: 9 additions & 2 deletions tests/python/frontend/tflite/test_forward.py
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Expand Up @@ -3943,10 +3943,13 @@ def test_forward_unpack():
# ----------------------------


def _test_local_response_normalization(data, depth_radius, bias, alpha, beta):
def _test_local_response_normalization(data, depth_radius, bias, alpha, beta, quantized=False):
"""One iteration of LOCAL_RESPONSE_NORMALIZATION"""
with tf.Graph().as_default():
in_data = array_ops.placeholder(shape=data.shape, dtype="float32", name="in_0")
if quantized:
in_data = array_ops.placeholder(shape=data.shape, dtype=tf.qint8, name="in_0")
else:
in_data = array_ops.placeholder(shape=data.shape, dtype="float32", name="in_0")
out = nn_ops.local_response_normalization(
in_data, depth_radius=depth_radius, bias=bias, alpha=alpha, beta=beta
)
Expand All @@ -3956,9 +3959,13 @@ def _test_local_response_normalization(data, depth_radius, bias, alpha, beta):
def test_forward_local_response_normalization():
"""LOCAL_RESPONSE_NORMALIZATION"""
data = np.random.uniform(size=(1, 6, 4, 3)).astype("float32")
data_quant = np.random.uniform(size=(1, 6, 4, 3)).astype(tf.qint8)
# LOCAL_RESPONSE_NORMALIZATION come with TFLite >= 1.14.0 fbs schema
if package_version.parse(tf.VERSION) >= package_version.parse("1.14.0"):
_test_local_response_normalization(data, depth_radius=5, bias=1, alpha=1, beta=0.5)
_test_local_response_normalization(
data_quant, depth_radius=5, bias=1, alpha=1, beta=0.5, quantized=True
)


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