Mark some comparison op quantizable in the tfl_ops
PiperOrigin-RevId: 321512821 Change-Id: Id46e4c8e12f273554661834b7eafac8dbcf54bb5
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d2d6c3f07a
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ff2a56b9d3
tensorflow
compiler/mlir/lite/ir
lite/testing/op_tests
@ -1059,8 +1059,7 @@ def TFL_LessEqualOp : TFL_Op<"less_equal", [
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ResultsBroadcastableShape,
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BinaryOpSameElementTypeConstraint,
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TFL_OperandsHaveSameShapesOrBroadcastableShape<[0, 1], 4>,
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NoSideEffect,
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NoQuantizableResult]> {
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NoSideEffect]> {
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let summary = "Less_equal operator";
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let description = [{
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@ -1121,8 +1120,7 @@ convolutional neural networks (NIPS 2012)](http://papers.nips.cc/paper/4824-imag
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def TFL_GreaterEqualOp : TFL_Op<"greater_equal", [
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TFL_OperandsHaveSameShapesOrBroadcastableShape<[0, 1], 4>,
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ResultsBroadcastableShape,
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NoSideEffect,
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NoQuantizableResult]> {
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NoSideEffect]> {
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let summary = "Greater_equal operator";
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let description = [{
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@ -1415,7 +1413,6 @@ def TFL_EmbeddingLookupOp: TFL_Op<"embedding_lookup",
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def TFL_EqualOp: TFL_Op<"equal", [
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Commutative,
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NoQuantizableResult,
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ResultsBroadcastableShape,
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TFL_OperandsHaveSameShapesOrBroadcastableShape<[0, 1], 4>,
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PredOpTrait<"Operands have same value type", TCopVTEtIsSameAs<0, 1>>]> {
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@ -1621,8 +1618,7 @@ def TFL_GreaterOp : TFL_Op<"greater", [
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ResultsBroadcastableShape,
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BinaryOpSameElementTypeConstraint,
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TFL_OperandsHaveSameShapesOrBroadcastableShape<[0, 1], 4>,
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NoSideEffect,
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NoQuantizableResult]> {
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NoSideEffect]> {
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let summary = "Greater operator";
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let description = [{
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@ -1721,8 +1717,7 @@ def TFL_LessOp : TFL_Op<"less", [
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ResultsBroadcastableShape,
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BinaryOpSameElementTypeConstraint,
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TFL_OperandsHaveSameShapesOrBroadcastableShape<[0, 1], 4>,
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NoSideEffect,
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NoQuantizableResult]> {
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NoSideEffect]> {
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let summary = "Less operator";
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let description = [{
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@ -32,6 +32,11 @@ def make_equal_tests(options):
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"input_shape_pair": [([], []), ([1, 1, 1, 3], [1, 1, 1, 3]),
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([2, 3, 4, 5], [2, 3, 4, 5]), ([2, 3, 3], [2, 3]),
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([5, 5], [1]), ([10], [2, 4, 10])],
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"fully_quantize": [False],
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}, {
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"input_dtype": [tf.float32],
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"input_shape_pair": [([1, 1, 1, 3], [1, 1, 1, 3]), ([2, 3, 3], [2, 3])],
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"fully_quantize": [True],
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}]
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def build_graph(parameters):
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@ -60,4 +65,4 @@ def make_equal_tests(options):
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test_parameters,
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build_graph,
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build_inputs,
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expected_tf_failures=4)
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expected_tf_failures=5)
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@ -32,6 +32,11 @@ def make_greater_tests(options):
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"input_shape_pair": [([1, 1, 1, 3], [1, 1, 1, 3]),
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([2, 3, 4, 5], [2, 3, 4, 5]), ([2, 3, 3], [2, 3]),
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([5, 5], [1]), ([10], [2, 4, 10])],
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"fully_quantize": [False],
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}, {
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"input_dtype": [tf.float32],
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"input_shape_pair": [([1, 1, 1, 3], [1, 1, 1, 3]), ([2, 3, 3], [2, 3])],
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"fully_quantize": [True],
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}]
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def build_graph(parameters):
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@ -60,4 +65,4 @@ def make_greater_tests(options):
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test_parameters,
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build_graph,
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build_inputs,
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expected_tf_failures=3)
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expected_tf_failures=4)
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@ -32,6 +32,11 @@ def make_greater_equal_tests(options):
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"input_shape_pair": [([1, 1, 1, 3], [1, 1, 1, 3]),
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([2, 3, 4, 5], [2, 3, 4, 5]), ([2, 3, 3], [2, 3]),
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([5, 5], [1]), ([10], [2, 4, 10])],
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"fully_quantize": [False],
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}, {
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"input_dtype": [tf.float32],
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"input_shape_pair": [([1, 1, 1, 3], [1, 1, 1, 3]), ([2, 3, 3], [2, 3])],
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"fully_quantize": [True],
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}]
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def build_graph(parameters):
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@ -60,4 +65,4 @@ def make_greater_equal_tests(options):
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test_parameters,
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build_graph,
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build_inputs,
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expected_tf_failures=3)
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expected_tf_failures=4)
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@ -32,6 +32,11 @@ def make_less_tests(options):
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"input_shape_pair": [([1, 1, 1, 3], [1, 1, 1, 3]),
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([2, 3, 4, 5], [2, 3, 4, 5]), ([2, 3, 3], [2, 3]),
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([5, 5], [1]), ([10], [2, 4, 10])],
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"fully_quantize": [False],
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}, {
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"input_dtype": [tf.float32],
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"input_shape_pair": [([1, 1, 1, 3], [1, 1, 1, 3]), ([2, 3, 3], [2, 3])],
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"fully_quantize": [True],
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}]
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def build_graph(parameters):
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@ -60,4 +65,4 @@ def make_less_tests(options):
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test_parameters,
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build_graph,
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build_inputs,
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expected_tf_failures=3)
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expected_tf_failures=4)
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@ -32,6 +32,11 @@ def make_less_equal_tests(options):
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"input_shape_pair": [([1, 1, 1, 3], [1, 1, 1, 3]),
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([2, 3, 4, 5], [2, 3, 4, 5]), ([2, 3, 3], [2, 3]),
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([5, 5], [1]), ([10], [2, 4, 10])],
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"fully_quantize": [False],
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}, {
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"input_dtype": [tf.float32],
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"input_shape_pair": [([1, 1, 1, 3], [1, 1, 1, 3]), ([2, 3, 3], [2, 3])],
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"fully_quantize": [True],
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}]
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def build_graph(parameters):
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@ -60,4 +65,4 @@ def make_less_equal_tests(options):
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test_parameters,
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build_graph,
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build_inputs,
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expected_tf_failures=3)
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expected_tf_failures=4)
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