fix batched conv
This commit is contained in:
@@ -38,11 +38,11 @@ LogicalResult ConvToGemm::matchAndRewrite(ONNXConvOp convOp,
|
||||
|
||||
assert("Only support static shapes" && xType.hasStaticShape() && wType.hasStaticShape() && outType.hasStaticShape());
|
||||
assert("Only support 2D convolution" && xType.getRank() == 4);
|
||||
assert("Only support batch size 1 for input" && xType.getDimSize(0) == 1);
|
||||
|
||||
// We need to understand what is group
|
||||
assert("Only support group=1" && convOp.getGroup() == 1);
|
||||
|
||||
const int64_t batchSize = xType.getDimSize(0);
|
||||
const int64_t numChannelsIn = xType.getDimSize(1);
|
||||
const int64_t xHeight = xType.getDimSize(2);
|
||||
const int64_t xWidth = xType.getDimSize(3);
|
||||
@@ -107,7 +107,8 @@ LogicalResult ConvToGemm::matchAndRewrite(ONNXConvOp convOp,
|
||||
// B (weights): [patchSize, cOut] -- W^T, stored in crossbar columns
|
||||
// Gemm output: [numPatches, cOut]
|
||||
const int64_t patchSize = numChannelsIn * wHeight * wWidth;
|
||||
const int64_t numPatches = outHeight * outWidth;
|
||||
const int64_t numPatchesPerBatch = outHeight * outWidth;
|
||||
const int64_t numPatches = batchSize * numPatchesPerBatch;
|
||||
|
||||
auto elemType = xType.getElementType();
|
||||
auto im2colType = RankedTensorType::get({numPatches, patchSize}, elemType);
|
||||
@@ -115,7 +116,7 @@ LogicalResult ConvToGemm::matchAndRewrite(ONNXConvOp convOp,
|
||||
auto wFlatType = RankedTensorType::get({numChannelsOut, patchSize}, wType.getElementType());
|
||||
auto wTransType = RankedTensorType::get({patchSize, numChannelsOut}, wType.getElementType());
|
||||
auto gemmOutType = RankedTensorType::get({numPatches, numChannelsOut}, outType.getElementType());
|
||||
auto nhwcType = RankedTensorType::get({1, outHeight, outWidth, numChannelsOut}, outType.getElementType());
|
||||
auto nhwcType = RankedTensorType::get({batchSize, outHeight, outWidth, numChannelsOut}, outType.getElementType());
|
||||
|
||||
// Prepare weight matrix W for crossbar storage:
|
||||
// W: [numChannelsOut, numChannelsIn, wHeight, wWidth] -> [numChannelsOut, patchSize] -> [patchSize, numChannelsOut]
|
||||
@@ -160,7 +161,7 @@ LogicalResult ConvToGemm::matchAndRewrite(ONNXConvOp convOp,
|
||||
if (padHeightBegin || padHeightEnd || padWidthBegin || padWidthEnd) {
|
||||
const int64_t paddedHeight = xHeight + padHeightBegin + padHeightEnd;
|
||||
const int64_t paddedWidth = xWidth + padWidthBegin + padWidthEnd;
|
||||
auto paddedType = RankedTensorType::get({1, numChannelsIn, paddedHeight, paddedWidth}, elemType);
|
||||
auto paddedType = RankedTensorType::get({batchSize, numChannelsIn, paddedHeight, paddedWidth}, elemType);
|
||||
SmallVector<OpFoldResult> lowPads = {rewriter.getIndexAttr(0),
|
||||
rewriter.getIndexAttr(0),
|
||||
rewriter.getIndexAttr(padHeightBegin),
|
||||
@@ -182,12 +183,13 @@ LogicalResult ConvToGemm::matchAndRewrite(ONNXConvOp convOp,
|
||||
}
|
||||
|
||||
// Build im2col [numPatches, patchSize]:
|
||||
// For each output position (oh, ow), extract the patch from x
|
||||
// For each batch/output position (n, oh, ow), extract the patch from x
|
||||
SmallVector<Value> im2colRows;
|
||||
im2colRows.reserve(numPatches);
|
||||
for (int64_t n = 0; n < batchSize; n++) {
|
||||
for (int64_t oh = 0; oh < outHeight; oh++) {
|
||||
for (int64_t ow = 0; ow < outWidth; ow++) {
|
||||
SmallVector<OpFoldResult> offsets = {rewriter.getIndexAttr(0),
|
||||
SmallVector<OpFoldResult> offsets = {rewriter.getIndexAttr(n),
|
||||
rewriter.getIndexAttr(0),
|
||||
rewriter.getIndexAttr(oh * strideHeight),
|
||||
rewriter.getIndexAttr(ow * strideWidth)};
|
||||
@@ -214,6 +216,7 @@ LogicalResult ConvToGemm::matchAndRewrite(ONNXConvOp convOp,
|
||||
im2colRows.push_back(row);
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
// Concatenate all rows: [numPatches, patchSize]
|
||||
Value im2col = tensor::ConcatOp::create(rewriter, loc, /*axis=*/0, im2colRows);
|
||||
|
||||
@@ -7,6 +7,7 @@ add_onnx_mlir_library(SpatialOps
|
||||
Transforms/SpatialBufferizableOpInterface.cpp
|
||||
|
||||
DEPENDS
|
||||
OMONNXIncGen
|
||||
OMSpatialIncGen
|
||||
|
||||
LINK_LIBS PUBLIC
|
||||
|
||||
Reference in New Issue
Block a user