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Add support from tensor.from_elements to flow with multiple eleme…
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…nts (#18034)

#17086

We can support multipel `tensor.from_elements` through using
`flow.tensor.store` for each elements into an empty array.

---------

Signed-off-by: Rob Suderman <rob.suderman@gmail.com>
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rsuderman authored Jul 30, 2024
1 parent 3956a5a commit cc60fff
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Showing 6 changed files with 41 additions and 33 deletions.
3 changes: 0 additions & 3 deletions build_tools/pkgci/external_test_suite/onnx_cpu_llvm_sync.json
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Expand Up @@ -86,16 +86,13 @@
"onnx/node/generated/test_castlike_STRING_to_FLOAT_expanded",
"onnx/node/generated/test_center_crop_pad_crop",
"onnx/node/generated/test_center_crop_pad_crop_and_pad",
"onnx/node/generated/test_center_crop_pad_crop_and_pad_expanded",
"onnx/node/generated/test_center_crop_pad_crop_axes_chw",
"onnx/node/generated/test_center_crop_pad_crop_axes_chw_expanded",
"onnx/node/generated/test_center_crop_pad_crop_axes_hwc",
"onnx/node/generated/test_center_crop_pad_crop_axes_hwc_expanded",
"onnx/node/generated/test_center_crop_pad_crop_expanded",
"onnx/node/generated/test_center_crop_pad_crop_negative_axes_hwc",
"onnx/node/generated/test_center_crop_pad_crop_negative_axes_hwc_expanded",
"onnx/node/generated/test_center_crop_pad_pad",
"onnx/node/generated/test_center_crop_pad_pad_expanded",
"onnx/node/generated/test_col2im",
"onnx/node/generated/test_col2im_5d",
"onnx/node/generated/test_col2im_dilations",
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5 changes: 0 additions & 5 deletions build_tools/pkgci/external_test_suite/onnx_gpu_cuda.json
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Expand Up @@ -92,16 +92,13 @@
"onnx/node/generated/test_castlike_STRING_to_FLOAT_expanded",
"onnx/node/generated/test_center_crop_pad_crop",
"onnx/node/generated/test_center_crop_pad_crop_and_pad",
"onnx/node/generated/test_center_crop_pad_crop_and_pad_expanded",
"onnx/node/generated/test_center_crop_pad_crop_axes_chw",
"onnx/node/generated/test_center_crop_pad_crop_axes_chw_expanded",
"onnx/node/generated/test_center_crop_pad_crop_axes_hwc",
"onnx/node/generated/test_center_crop_pad_crop_axes_hwc_expanded",
"onnx/node/generated/test_center_crop_pad_crop_expanded",
"onnx/node/generated/test_center_crop_pad_crop_negative_axes_hwc",
"onnx/node/generated/test_center_crop_pad_crop_negative_axes_hwc_expanded",
"onnx/node/generated/test_center_crop_pad_pad",
"onnx/node/generated/test_center_crop_pad_pad_expanded",
"onnx/node/generated/test_col2im",
"onnx/node/generated/test_col2im_5d",
"onnx/node/generated/test_col2im_dilations",
Expand Down Expand Up @@ -158,9 +155,7 @@
"onnx/node/generated/test_gridsample_volumetric_nearest_align_corners_0",
"onnx/node/generated/test_gridsample_volumetric_nearest_align_corners_1",
"onnx/node/generated/test_group_normalization_epsilon",
"onnx/node/generated/test_group_normalization_epsilon_expanded",
"onnx/node/generated/test_group_normalization_example",
"onnx/node/generated/test_group_normalization_example_expanded",
"onnx/node/generated/test_gru_batchwise",
"onnx/node/generated/test_gru_defaults",
"onnx/node/generated/test_gru_seq_length",
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5 changes: 0 additions & 5 deletions build_tools/pkgci/external_test_suite/onnx_gpu_rocm_rdna3.json
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Expand Up @@ -87,16 +87,13 @@
"onnx/node/generated/test_castlike_STRING_to_FLOAT_expanded",
"onnx/node/generated/test_center_crop_pad_crop",
"onnx/node/generated/test_center_crop_pad_crop_and_pad",
"onnx/node/generated/test_center_crop_pad_crop_and_pad_expanded",
"onnx/node/generated/test_center_crop_pad_crop_axes_chw",
"onnx/node/generated/test_center_crop_pad_crop_axes_chw_expanded",
"onnx/node/generated/test_center_crop_pad_crop_axes_hwc",
"onnx/node/generated/test_center_crop_pad_crop_axes_hwc_expanded",
"onnx/node/generated/test_center_crop_pad_crop_expanded",
"onnx/node/generated/test_center_crop_pad_crop_negative_axes_hwc",
"onnx/node/generated/test_center_crop_pad_crop_negative_axes_hwc_expanded",
"onnx/node/generated/test_center_crop_pad_pad",
"onnx/node/generated/test_center_crop_pad_pad_expanded",
"onnx/node/generated/test_col2im",
"onnx/node/generated/test_col2im_5d",
"onnx/node/generated/test_col2im_dilations",
Expand Down Expand Up @@ -153,9 +150,7 @@
"onnx/node/generated/test_gridsample_volumetric_nearest_align_corners_0",
"onnx/node/generated/test_gridsample_volumetric_nearest_align_corners_1",
"onnx/node/generated/test_group_normalization_epsilon",
"onnx/node/generated/test_group_normalization_epsilon_expanded",
"onnx/node/generated/test_group_normalization_example",
"onnx/node/generated/test_group_normalization_example_expanded",
"onnx/node/generated/test_gru_batchwise",
"onnx/node/generated/test_gru_defaults",
"onnx/node/generated/test_gru_seq_length",
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1 change: 0 additions & 1 deletion build_tools/pkgci/external_test_suite/onnx_gpu_vulkan.json
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Expand Up @@ -187,7 +187,6 @@
"onnx/node/generated/test_gridsample_volumetric_nearest_align_corners_1",
"onnx/node/generated/test_gridsample_zeros_padding",
"onnx/node/generated/test_group_normalization_epsilon",
"onnx/node/generated/test_group_normalization_epsilon_expanded",
"onnx/node/generated/test_group_normalization_example",
"onnx/node/generated/test_group_normalization_example_expanded",
"onnx/node/generated/test_gru_batchwise",
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30 changes: 23 additions & 7 deletions compiler/src/iree/compiler/Dialect/Flow/Conversion/TensorToFlow/Patterns.cpp
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Expand Up @@ -187,17 +187,33 @@ struct ConvertTensorFromElementsPattern
}
auto tensorType = op.getType();
if (!tensorType.hasRank()) {
return failure();
return rewriter.notifyMatchFailure(op,
"unranked result type not supported");
}

// Check that all the dimensions are 1.
if (!llvm::all_of(tensorType.getShape(),
[](int64_t dim) { return dim == 1; })) {
return failure();
if (op.getNumOperands() == 1) {
rewriter.replaceOpWithNewOp<IREE::Flow::TensorSplatOp>(
op, tensorType, op.getOperand(0), ValueRange());
return success();
}

rewriter.replaceOpWithNewOp<IREE::Flow::TensorSplatOp>(
op, tensorType, op.getOperand(0), ValueRange());
const int64_t rank = tensorType.getRank();
Value result = rewriter.create<tensor::EmptyOp>(
op.getLoc(), tensorType.getShape(), tensorType.getElementType());
SmallVector<Value> ivs(rank);
for (int i = 0, s = op.getNumOperands(); i < s; ++i) {
int64_t index = i;
for (int j = rank - 1; j >= 0; --j) {
int64_t iv = index % tensorType.getDimSize(j);
index = index / tensorType.getDimSize(j);
ivs[j] = rewriter.create<arith::ConstantIndexOp>(op.getLoc(), iv);
}

result = rewriter.create<Flow::TensorStoreOp>(
op.getLoc(), op.getOperand(i), result, ivs);
}

rewriter.replaceOp(op, result);
return success();
}
};
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30 changes: 18 additions & 12 deletions compiler/src/iree/compiler/Dialect/Flow/Conversion/TensorToFlow/test/from_elements.mlir
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Expand Up @@ -9,18 +9,6 @@ util.func public @tensor.from_elements__to__flow.tensor.splat(%arg0: i8) -> (i8)
util.return %1 : i8
}

// -----
// CHECK: util.func public @tensor.from_elements__not_convertible(%[[arg0:.*]]: i8)
util.func public @tensor.from_elements__not_convertible(%arg0: i8) -> (i8) {
// CHECK: %[[c0:.*]] = arith.constant 0
%c0 = arith.constant 0 : index
// CHECK: %[[res:.*]] = tensor.from_elements %[[arg0]], %[[arg0]] : tensor<2xi8>
%0 = tensor.from_elements %arg0, %arg0 : tensor<2xi8>
// CHECK: flow.tensor.load %[[res]][%[[c0]]]
%1 = flow.tensor.load %0[%c0] : tensor<2xi8>
util.return %1 : i8
}

// -----
util.func public @tensor.from_elements__within_dispatch_workgroups_not_converted() -> tensor<f32> {
%x = arith.constant 100 : index
Expand All @@ -44,3 +32,21 @@ util.func public @tensor.from_elements_0D(%arg0 : f32) -> tensor<f32> {
// CHECK-SAME: %[[ARG0:.+]]: f32
// CHECK: %[[SPLAT:.+]] = flow.tensor.splat %[[ARG0]] : tensor<f32>
// CHECK: util.return %[[SPLAT]]

// -----

// CHECK-LABEL: util.func public @tensor.from_elements_2D
util.func @tensor.from_elements_2D(%arg0 : f32, %arg1 : f32, %arg2 : f32, %arg3 : f32, %arg4 : f32, %arg5 : f32) -> tensor<2x3xf32> {
%0 = tensor.from_elements %arg0, %arg1, %arg2, %arg3, %arg4, %arg5 : tensor<2x3xf32>
// CHECK-DAG: %[[C2:.+]] = arith.constant 2 : index
// CHECK-DAG: %[[C1:.+]] = arith.constant 1 : index
// CHECK-DAG: %[[C0:.+]] = arith.constant 0 : index
// CHECK: %[[EMPTY:.+]] = tensor.empty() : tensor<2x3xf32>
// CHECK: %[[STORE0:.+]] = flow.tensor.store %arg0, %[[EMPTY]][%[[C0]], %[[C0]]] : tensor<2x3xf32>
// CHECK: %[[STORE1:.+]] = flow.tensor.store %arg1, %[[STORE0]][%[[C0]], %[[C1]]] : tensor<2x3xf32>
// CHECK: %[[STORE2:.+]] = flow.tensor.store %arg2, %[[STORE1]][%[[C0]], %[[C2]]] : tensor<2x3xf32>
// CHECK: %[[STORE3:.+]] = flow.tensor.store %arg3, %[[STORE2]][%[[C1]], %[[C0]]] : tensor<2x3xf32>
// CHECK: %[[STORE4:.+]] = flow.tensor.store %arg4, %[[STORE3]][%[[C1]], %[[C1]]] : tensor<2x3xf32>
// CHECK: %[[STORE5:.+]] = flow.tensor.store %arg5, %[[STORE4]][%[[C1]], %[[C2]]] : tensor<2x3xf32>
util.return %0 : tensor<2x3xf32>
}

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