diff options
author | 2018-02-26 10:17:15 -0800 | |
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committer | 2018-02-26 10:21:06 -0800 | |
commit | 3b08cd35bc108f48b4f63d73af7a53eb8a1169f9 (patch) | |
tree | 4acb6d08b8978c51499073b25ec187e3f0e57fc1 /tensorflow/compiler/xla/service/shape_inference_test.cc | |
parent | f4e70be18b104fbb2efeefeb83bea190aec12727 (diff) |
Generalize the gather_indices dimension that stores indices
This is now exposed as a index_vector_dim dimension number.
Also fixed an off-by-one error in ValidateGatherDimensionNumbers in the
expression computing output_shape_rank.
PiperOrigin-RevId: 187040748
Diffstat (limited to 'tensorflow/compiler/xla/service/shape_inference_test.cc')
-rw-r--r-- | tensorflow/compiler/xla/service/shape_inference_test.cc | 191 |
1 files changed, 154 insertions, 37 deletions
diff --git a/tensorflow/compiler/xla/service/shape_inference_test.cc b/tensorflow/compiler/xla/service/shape_inference_test.cc index 7eb120843f..029d2b3b86 100644 --- a/tensorflow/compiler/xla/service/shape_inference_test.cc +++ b/tensorflow/compiler/xla/service/shape_inference_test.cc @@ -1530,11 +1530,17 @@ TEST_F(ShapeInferenceTest, BadSlice) { class GatherShapeInferenceTest : public ShapeInferenceTest { protected: + const Shape s64_scalar_ = ShapeUtil::MakeShape(S64, {}); + const Shape s64_vector_5_ = ShapeUtil::MakeShape(S64, {5}); const Shape s64_vector_32_ = ShapeUtil::MakeShape(S64, {32}); const Shape s64_4d_tensor_10_9_8_7_1_ = ShapeUtil::MakeShape(S64, {10, 9, 8, 7, 1}); const Shape s64_4d_tensor_10_9_8_7_5_ = ShapeUtil::MakeShape(S64, {10, 9, 8, 7, 5}); + const Shape s64_4d_tensor_5_10_9_7_6_ = + ShapeUtil::MakeShape(S64, {5, 10, 9, 7, 6}); + const Shape s64_4d_tensor_10_9_5_7_6_ = + ShapeUtil::MakeShape(S64, {10, 9, 5, 7, 6}); const Shape f32_5d_tensor_50_49_48_47_46_ = ShapeUtil::MakeShape(F32, {50, 49, 48, 47, 46}); const Shape tuple_shape_ = ShapeUtil::MakeTupleShape( @@ -1548,7 +1554,8 @@ TEST_F(GatherShapeInferenceTest, TensorFlowGather) { HloInstruction::MakeGatherDimNumbers( /*output_window_dims=*/{0}, /*elided_window_dims=*/{1}, - /*gather_dims_to_operand_dims=*/{1}), + /*gather_dims_to_operand_dims=*/{1}, + /*index_vector_dim=*/1), /*window_bounds=*/{64, 1})); EXPECT_TRUE( ShapeUtil::Equal(gather_shape, ShapeUtil::MakeShape(F32, {64, 32}))) @@ -1562,7 +1569,8 @@ TEST_F(GatherShapeInferenceTest, TensorFlowGatherV2) { HloInstruction::MakeGatherDimNumbers( /*output_window_dims=*/{1}, /*elided_window_dims=*/{0}, - /*gather_dims_to_operand_dims=*/{0}), + /*gather_dims_to_operand_dims=*/{0}, + /*index_vector_dim=*/1), /*window_bounds=*/{1, 48})); EXPECT_TRUE( ShapeUtil::Equal(gather_shape, ShapeUtil::MakeShape(F32, {32, 48}))) @@ -1576,7 +1584,8 @@ TEST_F(GatherShapeInferenceTest, TensorFlowGatherNd) { HloInstruction::MakeGatherDimNumbers( /*output_window_dims=*/{4}, /*elided_window_dims=*/{0}, - /*gather_dims_to_operand_dims=*/{0}), + /*gather_dims_to_operand_dims=*/{0}, + /*index_vector_dim=*/4), /*window_bounds=*/{1, 48})); EXPECT_TRUE(ShapeUtil::Equal(gather_shape, ShapeUtil::MakeShape(F32, {10, 9, 8, 7, 48}))) @@ -1591,7 +1600,8 @@ TEST_F(GatherShapeInferenceTest, TensorFlowBatchDynamicSlice) { HloInstruction::MakeGatherDimNumbers( /*output_window_dims=*/{4, 5, 6, 7, 8}, /*elided_window_dims=*/{}, - /*gather_dims_to_operand_dims=*/{0, 1, 2, 3, 4}), + /*gather_dims_to_operand_dims=*/{0, 1, 2, 3, 4}, + /*index_vector_dim=*/4), /*window_bounds=*/{30, 29, 28, 27, 26})); EXPECT_TRUE(ShapeUtil::Equal( gather_shape, @@ -1599,12 +1609,85 @@ TEST_F(GatherShapeInferenceTest, TensorFlowBatchDynamicSlice) { << ShapeUtil::HumanString(gather_shape); } +TEST_F(GatherShapeInferenceTest, NonDefaultGatherIndicesLeafDim_A) { + TF_ASSERT_OK_AND_ASSIGN( + Shape gather_shape, + ShapeInference::InferGatherShape( + f32_5d_tensor_50_49_48_47_46_, s64_4d_tensor_10_9_5_7_6_, + HloInstruction::MakeGatherDimNumbers( + /*output_window_dims=*/{4, 5, 6, 7, 8}, + /*elided_window_dims=*/{}, + /*gather_dims_to_operand_dims=*/{0, 1, 2, 3, 4}, + /*index_vector_dim=*/2), + /*window_bounds=*/{30, 29, 28, 27, 26})); + + EXPECT_TRUE(ShapeUtil::Equal( + gather_shape, + ShapeUtil::MakeShape(F32, {10, 9, 7, 6, 30, 29, 28, 27, 26}))) + << ShapeUtil::HumanString(gather_shape); +} + +TEST_F(GatherShapeInferenceTest, NonDefaultGatherIndicesLeafDim_B) { + TF_ASSERT_OK_AND_ASSIGN( + Shape gather_shape, + ShapeInference::InferGatherShape( + f32_5d_tensor_50_49_48_47_46_, s64_4d_tensor_5_10_9_7_6_, + HloInstruction::MakeGatherDimNumbers( + /*output_window_dims=*/{4, 5, 6, 7, 8}, + /*elided_window_dims=*/{}, + /*gather_dims_to_operand_dims=*/{0, 1, 2, 3, 4}, + /*index_vector_dim=*/0), + /*window_bounds=*/{30, 29, 28, 27, 26})); + + EXPECT_TRUE(ShapeUtil::Equal( + gather_shape, + ShapeUtil::MakeShape(F32, {10, 9, 7, 6, 30, 29, 28, 27, 26}))) + << ShapeUtil::HumanString(gather_shape); +} + +TEST_F(GatherShapeInferenceTest, NoOutputGatherDims) { + // This is equivalent to a dynamic slice. + TF_ASSERT_OK_AND_ASSIGN( + Shape gather_shape, + ShapeInference::InferGatherShape( + f32_5d_tensor_50_49_48_47_46_, s64_vector_5_, + HloInstruction::MakeGatherDimNumbers( + /*output_window_dims=*/{0, 1, 2, 3, 4}, + /*elided_window_dims=*/{}, + /*gather_dims_to_operand_dims=*/{0, 1, 2, 3, 4}, + /*index_vector_dim=*/0), + /*window_bounds=*/{30, 29, 28, 27, 26})); + + EXPECT_TRUE(ShapeUtil::Equal(gather_shape, + ShapeUtil::MakeShape(F32, {30, 29, 28, 27, 26}))) + << ShapeUtil::HumanString(gather_shape); +} + +TEST_F(GatherShapeInferenceTest, ScalarGatherIndices) { + // The gather indices "tensor" is a scalar S here that's used to slice out + // [S,0,0,0,0]..[S,30,29,28,27] into a [30,29,28,27] shaped result. + TF_ASSERT_OK_AND_ASSIGN(Shape gather_shape, + ShapeInference::InferGatherShape( + f32_5d_tensor_50_49_48_47_46_, s64_scalar_, + HloInstruction::MakeGatherDimNumbers( + /*output_window_dims=*/{0, 1, 2, 3}, + /*elided_window_dims=*/{0}, + /*gather_dims_to_operand_dims=*/{0}, + /*index_vector_dim=*/0), + /*window_bounds=*/{1, 30, 29, 28, 27})); + + EXPECT_TRUE(ShapeUtil::Equal(gather_shape, + ShapeUtil::MakeShape(F32, {30, 29, 28, 27}))) + << ShapeUtil::HumanString(gather_shape); +} + TEST_F(GatherShapeInferenceTest, TupleShapedTensorInput) { StatusOr<Shape> statusor = ShapeInference::InferGatherShape( tuple_shape_, s64_vector_32_, HloInstruction::MakeGatherDimNumbers(/*output_window_dims=*/{0}, /*elided_window_dims=*/{1}, - /*gather_dims_to_operand_dims=*/{1}), + /*gather_dims_to_operand_dims=*/{1}, + /*index_vector_dim=*/1), /*window_bounds=*/{64, 1}); ASSERT_FALSE(statusor.ok()); EXPECT_THAT(statusor.status().error_message(), @@ -1617,7 +1700,8 @@ TEST_F(GatherShapeInferenceTest, TupleShapedGatherIndicesInput) { s64_vector_32_, tuple_shape_, HloInstruction::MakeGatherDimNumbers(/*output_window_dims=*/{0}, /*elided_window_dims=*/{1}, - /*gather_dims_to_operand_dims=*/{1}), + /*gather_dims_to_operand_dims=*/{1}, + /*index_vector_dim=*/0), /*window_bounds=*/{64, 1}); ASSERT_FALSE(statusor.ok()); EXPECT_THAT(statusor.status().error_message(), @@ -1625,25 +1709,13 @@ TEST_F(GatherShapeInferenceTest, TupleShapedGatherIndicesInput) { << statusor.status(); } -TEST_F(GatherShapeInferenceTest, ScalarGatherIndicesInput) { - StatusOr<Shape> statusor = ShapeInference::InferGatherShape( - s64_vector_32_, s32_, - HloInstruction::MakeGatherDimNumbers(/*output_window_dims=*/{0}, - /*elided_window_dims=*/{1}, - /*gather_dims_to_operand_dims=*/{1}), - /*window_bounds=*/{64, 1}); - ASSERT_FALSE(statusor.ok()); - EXPECT_THAT(statusor.status().error_message(), - HasSubstr("Gather indices parameter must at least of rank 1")) - << statusor.status(); -} - TEST_F(GatherShapeInferenceTest, FloatingPointGatherIndicesInput) { StatusOr<Shape> statusor = ShapeInference::InferGatherShape( s64_vector_32_, vector_32_, HloInstruction::MakeGatherDimNumbers(/*output_window_dims=*/{0}, /*elided_window_dims=*/{1}, - /*gather_dims_to_operand_dims=*/{1}), + /*gather_dims_to_operand_dims=*/{1}, + /*index_vector_dim=*/0), /*window_bounds=*/{64, 1}); ASSERT_FALSE(statusor.ok()); EXPECT_THAT(statusor.status().error_message(), @@ -1658,7 +1730,8 @@ TEST_F(GatherShapeInferenceTest, HloInstruction::MakeGatherDimNumbers( /*output_window_dims=*/{4, 5, 6, 8, 7}, /*elided_window_dims=*/{}, - /*gather_dims_to_operand_dims=*/{0, 1, 2, 3, 4}), + /*gather_dims_to_operand_dims=*/{0, 1, 2, 3, 4}, + /*index_vector_dim=*/4), /*window_bounds=*/{30, 29, 28, 27, 26}); ASSERT_FALSE(statusor.ok()); EXPECT_THAT( @@ -1674,7 +1747,8 @@ TEST_F(GatherShapeInferenceTest, HloInstruction::MakeGatherDimNumbers( /*output_window_dims=*/{4, 5, 6, 7, 7}, /*elided_window_dims=*/{}, - /*gather_dims_to_operand_dims=*/{0, 1, 2, 3, 4}), + /*gather_dims_to_operand_dims=*/{0, 1, 2, 3, 4}, + /*index_vector_dim=*/4), /*window_bounds=*/{30, 29, 28, 27, 26}); ASSERT_FALSE(statusor.ok()); EXPECT_THAT( @@ -1690,7 +1764,8 @@ TEST_F(GatherShapeInferenceTest, HloInstruction::MakeGatherDimNumbers( /*output_window_dims=*/{4, 5, 99, 100, 101}, /*elided_window_dims=*/{}, - /*gather_dims_to_operand_dims=*/{0, 1, 2, 3, 4}), + /*gather_dims_to_operand_dims=*/{0, 1, 2, 3, 4}, + /*index_vector_dim=*/4), /*window_bounds=*/{30, 29, 28, 27, 26}); ASSERT_FALSE(statusor.ok()); EXPECT_THAT(statusor.status().error_message(), @@ -1699,13 +1774,30 @@ TEST_F(GatherShapeInferenceTest, } TEST_F(GatherShapeInferenceTest, + InvalidGatherDimNumbers_WindowIndexBarelyOutOfBounds) { + StatusOr<Shape> statusor = ShapeInference::InferGatherShape( + f32_5d_tensor_50_49_48_47_46_, s64_4d_tensor_10_9_8_7_5_, + HloInstruction::MakeGatherDimNumbers( + /*output_window_dims=*/{4, 5, 6, 7, 9}, + /*elided_window_dims=*/{}, + /*gather_dims_to_operand_dims=*/{0, 1, 2, 3, 4}, + /*index_vector_dim=*/4), + /*window_bounds=*/{30, 29, 28, 27, 26}); + ASSERT_FALSE(statusor.ok()); + EXPECT_THAT(statusor.status().error_message(), + HasSubstr("Window index 4 in gather op is out of bounds")) + << statusor.status(); +} + +TEST_F(GatherShapeInferenceTest, InvalidGatherDimNumbers_MismatchingElidedWindowDims) { StatusOr<Shape> statusor = ShapeInference::InferGatherShape( f32_5d_tensor_50_49_48_47_46_, s64_4d_tensor_10_9_8_7_5_, HloInstruction::MakeGatherDimNumbers( /*output_window_dims=*/{4, 5, 6, 7, 8}, /*elided_window_dims=*/{4}, - /*gather_dims_to_operand_dims=*/{0, 1, 2, 3, 4}), + /*gather_dims_to_operand_dims=*/{0, 1, 2, 3, 4}, + /*index_vector_dim=*/4), /*window_bounds=*/{30, 29, 28, 27, 26}); ASSERT_FALSE(statusor.ok()); EXPECT_THAT( @@ -1722,7 +1814,8 @@ TEST_F(GatherShapeInferenceTest, HloInstruction::MakeGatherDimNumbers( /*output_window_dims=*/{4, 5, 6, 7, 8}, /*elided_window_dims=*/{0, 1, 2, 3, 19}, - /*gather_dims_to_operand_dims=*/{0, 1, 2, 3, 4}), + /*gather_dims_to_operand_dims=*/{0, 1, 2, 3, 4}, + /*index_vector_dim=*/4), /*window_bounds=*/{30, 29, 28, 27, 26}); ASSERT_FALSE(statusor.ok()); EXPECT_THAT(statusor.status().error_message(), @@ -1738,7 +1831,8 @@ TEST_F(GatherShapeInferenceTest, HloInstruction::MakeGatherDimNumbers( /*output_window_dims=*/{4, 5, 6, 7, 8}, /*elided_window_dims=*/{0, 1, 2, 3, 3}, - /*gather_dims_to_operand_dims=*/{0, 1, 2, 3, 4}), + /*gather_dims_to_operand_dims=*/{0, 1, 2, 3, 4}, + /*index_vector_dim=*/4), /*window_bounds=*/{30, 29, 28, 27, 26}); ASSERT_FALSE(statusor.ok()); EXPECT_THAT( @@ -1755,15 +1849,15 @@ TEST_F(GatherShapeInferenceTest, HloInstruction::MakeGatherDimNumbers( /*output_window_dims=*/{4, 5, 6, 7, 8}, /*elided_window_dims=*/{}, - /*gather_dims_to_operand_dims=*/{0, 1, 2, 3}), + /*gather_dims_to_operand_dims=*/{0, 1, 2, 3}, + /*index_vector_dim=*/4), /*window_bounds=*/{30, 29, 28, 27, 26}); ASSERT_FALSE(statusor.ok()); EXPECT_THAT( statusor.status().error_message(), - HasSubstr( - "There must be exactly as many elements in " - "gather_dims_to_operand_dims " - "as there are elements in the last dimension of %gather_indices")) + HasSubstr("Gather op has 4 elements in gather_dims_to_operand_dims and " + "the bound of dimension index_vector_dim=4 of " + "gather_indices is 5. These two numbers must be equal.")) << statusor.status(); } @@ -1774,7 +1868,8 @@ TEST_F(GatherShapeInferenceTest, HloInstruction::MakeGatherDimNumbers( /*output_window_dims=*/{4, 5, 6, 7, 8}, /*elided_window_dims=*/{}, - /*gather_dims_to_operand_dims=*/{0, 1, 2, 3, 7}), + /*gather_dims_to_operand_dims=*/{0, 1, 2, 3, 7}, + /*index_vector_dim=*/4), /*window_bounds=*/{30, 29, 28, 27, 26}); ASSERT_FALSE(statusor.ok()); EXPECT_THAT( @@ -1791,7 +1886,8 @@ TEST_F(GatherShapeInferenceTest, HloInstruction::MakeGatherDimNumbers( /*output_window_dims=*/{4, 5, 6, 7, 8}, /*elided_window_dims=*/{}, - /*gather_dims_to_operand_dims=*/{0, 1, 2, 3, 3}), + /*gather_dims_to_operand_dims=*/{0, 1, 2, 3, 3}, + /*index_vector_dim=*/4), /*window_bounds=*/{30, 29, 28, 27, 26}); ASSERT_FALSE(statusor.ok()); EXPECT_THAT( @@ -1808,7 +1904,8 @@ TEST_F(GatherShapeInferenceTest, HloInstruction::MakeGatherDimNumbers( /*output_window_dims=*/{4, 5, 6, 7, 8}, /*elided_window_dims=*/{2, 1}, - /*gather_dims_to_operand_dims=*/{0, 1, 2, 3, 4}), + /*gather_dims_to_operand_dims=*/{0, 1, 2, 3, 4}, + /*index_vector_dim=*/4), /*window_bounds=*/{1, 1, 28, 27, 26}); ASSERT_FALSE(statusor.ok()); EXPECT_THAT(statusor.status().error_message(), @@ -1822,7 +1919,8 @@ TEST_F(GatherShapeInferenceTest, InvalidGatherDimNumbers_WindowBoundsTooLarge) { HloInstruction::MakeGatherDimNumbers( /*output_window_dims=*/{4, 5, 6, 7}, /*elided_window_dims=*/{2}, - /*gather_dims_to_operand_dims=*/{0, 1, 2, 3, 4}), + /*gather_dims_to_operand_dims=*/{0, 1, 2, 3, 4}, + /*index_vector_dim=*/4), /*window_bounds=*/{30, 29, 1, 300, 26}); ASSERT_FALSE(statusor.ok()); EXPECT_THAT(statusor.status().error_message(), @@ -1838,7 +1936,8 @@ TEST_F(GatherShapeInferenceTest, HloInstruction::MakeGatherDimNumbers( /*output_window_dims=*/{4, 5, 6, 7, 8}, /*elided_window_dims=*/{}, - /*gather_dims_to_operand_dims=*/{0, 1, 2, 3, 4}), + /*gather_dims_to_operand_dims=*/{0, 1, 2, 3, 4}, + /*index_vector_dim=*/4), /*window_bounds=*/{30, 29, 28, 26}); ASSERT_FALSE(statusor.ok()); EXPECT_THAT( @@ -1855,7 +1954,8 @@ TEST_F(GatherShapeInferenceTest, HloInstruction::MakeGatherDimNumbers( /*output_window_dims=*/{4, 5, 6, 7}, /*elided_window_dims=*/{1}, - /*gather_dims_to_operand_dims=*/{0, 1, 2, 3, 4}), + /*gather_dims_to_operand_dims=*/{0, 1, 2, 3, 4}, + /*index_vector_dim=*/4), /*window_bounds=*/{30, 29, 28, 26, 20}); ASSERT_FALSE(statusor.ok()); EXPECT_THAT(statusor.status().error_message(), @@ -1864,5 +1964,22 @@ TEST_F(GatherShapeInferenceTest, << statusor.status(); } +TEST_F(GatherShapeInferenceTest, OutOfBoundsGatherIndicesLeafDim) { + StatusOr<Shape> statusor = ShapeInference::InferGatherShape( + f32_5d_tensor_50_49_48_47_46_, s64_4d_tensor_10_9_5_7_6_, + HloInstruction::MakeGatherDimNumbers( + /*output_window_dims=*/{4, 5, 6, 7, 8}, + /*elided_window_dims=*/{}, + /*gather_dims_to_operand_dims=*/{0, 1, 2, 3, 4}, + /*index_vector_dim=*/32), + /*window_bounds=*/{30, 29, 28, 27, 26}); + + ASSERT_FALSE(statusor.ok()); + EXPECT_THAT(statusor.status().error_message(), + HasSubstr("Gather index leaf dimension must be within [0, " + "rank(gather_indices) + 1)")) + << statusor.status(); +} + } // namespace } // namespace xla |