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EwBinary codegen broadcasting tests #922

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104 changes: 97 additions & 7 deletions test/api/cli/codegen/EwBinaryTest.cpp
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Original file line number Diff line number Diff line change
Expand Up @@ -49,18 +49,30 @@ void test_binary_lowering(const std::string op, const std::string kernel_call, c
CHECK(out.str() == result);
}

TEST_CASE("ewBinaryAddScalar", TAG_CODEGEN) {
TEST_CASE("ewBinaryAdd", TAG_CODEGEN) {
// clang-format off
std::string result = "DenseMatrix(2x3, double)\n"
"2 4 6\n"
"8 10 12\n"
"DenseMatrix(2x3, double)\n"
"6 6 6\n"
"9 9 9\n"
"DenseMatrix(2x3, double)\n"
"5 6 7\n"
"7 8 9\n"
"DenseMatrix(2x3, double)\n"
"3 4 5\n"
"6 7 8\n"
"6\n"
"DenseMatrix(2x3, int64_t)\n"
"2 4 6\n"
"8 10 12\n"
"DenseMatrix(2x3, int64_t)\n"
"6 6 6\n"
"9 9 9\n"
"DenseMatrix(2x3, int64_t)\n"
"5 6 7\n"
"7 8 9\n"
"DenseMatrix(2x3, int64_t)\n"
"3 4 5\n"
"6 7 8\n"
Expand All @@ -69,18 +81,30 @@ TEST_CASE("ewBinaryAddScalar", TAG_CODEGEN) {
test_binary_lowering("add", "llvm.call @_ewAdd__", "llvm.add", result);
}

TEST_CASE("ewBinarySubScalar", TAG_CODEGEN) {
TEST_CASE("ewBinarySub", TAG_CODEGEN) {
// clang-format off
std::string result = "DenseMatrix(2x3, double)\n"
"-5 -3 -1\n"
"1 3 5\n"
"DenseMatrix(2x3, double)\n"
"-4 -2 0\n"
"-1 1 3\n"
"DenseMatrix(2x3, double)\n"
"-3 -2 -1\n"
"1 2 3\n"
"DenseMatrix(2x3, double)\n"
"-1 0 1\n"
"2 3 4\n"
"-2\n"
"DenseMatrix(2x3, int64_t)\n"
"-5 -3 -1\n"
"1 3 5\n"
"DenseMatrix(2x3, int64_t)\n"
"-4 -2 0\n"
"-1 1 3\n"
"DenseMatrix(2x3, int64_t)\n"
"-3 -2 -1\n"
"1 2 3\n"
"DenseMatrix(2x3, int64_t)\n"
"-1 0 1\n"
"2 3 4\n"
Expand All @@ -89,18 +113,30 @@ TEST_CASE("ewBinarySubScalar", TAG_CODEGEN) {
test_binary_lowering("sub", "llvm.call @_ewSub__", "llvm.sub", result);
}

TEST_CASE("ewBinaryMulScalar", TAG_CODEGEN) {
TEST_CASE("ewBinaryMul", TAG_CODEGEN) {
// clang-format off
std::string result = "DenseMatrix(2x3, double)\n"
"1 4 9\n"
"16 25 36\n"
"DenseMatrix(2x3, double)\n"
"5 8 9\n"
"20 20 18\n"
"DenseMatrix(2x3, double)\n"
"4 8 12\n"
"12 15 18\n"
"DenseMatrix(2x3, double)\n"
"2 4 6\n"
"8 10 12\n"
"8\n"
"DenseMatrix(2x3, int64_t)\n"
"1 4 9\n"
"16 25 36\n"
"DenseMatrix(2x3, int64_t)\n"
"5 8 9\n"
"20 20 18\n"
"DenseMatrix(2x3, int64_t)\n"
"4 8 12\n"
"12 15 18\n"
"DenseMatrix(2x3, int64_t)\n"
"2 4 6\n"
"8 10 12\n"
Expand All @@ -109,25 +145,43 @@ TEST_CASE("ewBinaryMulScalar", TAG_CODEGEN) {
test_binary_lowering("mul", "llvm.call @_ewMul__", "llvm.mul", result);
}

TEST_CASE("ewBinaryDivScalar", TAG_CODEGEN) {
TEST_CASE("ewBinaryDiv", TAG_CODEGEN) {
// clang-format off
std::string result = "DenseMatrix(2x3, double)\n"
"1 1 1\n"
"1 1 1\n"
"DenseMatrix(2x3, double)\n"
"0.2 0.5 1\n"
"0.8 1.25 2\n"
"DenseMatrix(2x3, double)\n"
"0.25 0.5 0.75\n"
"1.33333 1.66667 2\n"
"DenseMatrix(2x3, double)\n"
"0.5 1 1.5\n"
"2 2.5 3\n"
"0.5\n"
"DenseMatrix(2x3, int64_t)\n"
"1 1 1\n"
"1 1 1\n"
"DenseMatrix(2x3, int64_t)\n"
"0 0 1\n"
"0 1 2\n"
"DenseMatrix(2x3, int64_t)\n"
"0 0 0\n"
"1 1 2\n"
"DenseMatrix(2x3, int64_t)\n"
"0 0 0\n"
"1 1 1\n"
"2\n"
"DenseMatrix(2x3, uint64_t)\n"
"1 1 1\n"
"1 1 1\n"
"DenseMatrix(2x3, uint64_t)\n"
"0 0 1\n"
"0 1 2\n"
"DenseMatrix(2x3, uint64_t)\n"
"0 0 0\n"
"1 1 2\n"
"DenseMatrix(2x3, uint64_t)\n"
"0 0 0\n"
"1 1 1\n"
Expand All @@ -136,7 +190,7 @@ TEST_CASE("ewBinaryDivScalar", TAG_CODEGEN) {
test_binary_lowering("div", "llvm.call @_ewDiv__", "llvm.fdiv", result);
}

// TEST_CASE("ewBinaryPowScalar", TAG_CODEGEN) {
// TEST_CASE("ewBinaryPow", TAG_CODEGEN) {
// // clang-format off
// std::string result = "DenseMatrix(2x3, double)\n"
// "1 4 27\n"
Expand All @@ -156,25 +210,43 @@ TEST_CASE("ewBinaryDivScalar", TAG_CODEGEN) {
// test_binary_lowering("pow", "llvm.call @_ewPow__", "llvm.intr.pow", result);
// }

TEST_CASE("ewBinaryMinScalar", TAG_CODEGEN) {
TEST_CASE("ewBinaryMin", TAG_CODEGEN) {
// clang-format off
std::string result = "DenseMatrix(2x3, double)\n"
"0 1 3\n"
"4 3 2\n"
"DenseMatrix(2x3, double)\n"
"1 2 1\n"
"2 4 1\n"
"DenseMatrix(2x3, double)\n"
"1 2 3\n"
"3 3 3\n"
"DenseMatrix(2x3, double)\n"
"1 2 3\n"
"4 4 4\n"
"2\n"
"DenseMatrix(2x3, int64_t)\n"
"0 1 3\n"
"4 3 2\n"
"DenseMatrix(2x3, int64_t)\n"
"1 2 1\n"
"2 4 1\n"
"DenseMatrix(2x3, int64_t)\n"
"1 2 3\n"
"3 3 3\n"
"DenseMatrix(2x3, int64_t)\n"
"1 2 3\n"
"4 4 4\n"
"2\n"
"DenseMatrix(2x3, uint64_t)\n"
"0 1 3\n"
"4 3 2\n"
"DenseMatrix(2x3, uint64_t)\n"
"1 2 1\n"
"2 4 1\n"
"DenseMatrix(2x3, uint64_t)\n"
"1 2 3\n"
"3 3 3\n"
"DenseMatrix(2x3, uint64_t)\n"
"1 2 3\n"
"4 4 4\n"
Expand All @@ -183,25 +255,43 @@ TEST_CASE("ewBinaryMinScalar", TAG_CODEGEN) {
test_binary_lowering("min", "llvm.call @_ewMin__", "llvm.intr.minnum", result);
}

TEST_CASE("ewBinaryMaxScalar", TAG_CODEGEN) {
TEST_CASE("ewBinaryMax", TAG_CODEGEN) {
// clang-format off
std::string result = "DenseMatrix(2x3, double)\n"
"1 2 4\n"
"11 5 6\n"
"DenseMatrix(2x3, double)\n"
"5 2 3\n"
"5 5 6\n"
"DenseMatrix(2x3, double)\n"
"3 3 3\n"
"4 5 6\n"
"DenseMatrix(2x3, double)\n"
"4 4 4\n"
"4 5 6\n"
"4\n"
"DenseMatrix(2x3, int64_t)\n"
"1 2 4\n"
"11 5 6\n"
"DenseMatrix(2x3, int64_t)\n"
"5 2 3\n"
"5 5 6\n"
"DenseMatrix(2x3, int64_t)\n"
"3 3 3\n"
"4 5 6\n"
"DenseMatrix(2x3, int64_t)\n"
"4 4 4\n"
"4 5 6\n"
"4\n"
"DenseMatrix(2x3, uint64_t)\n"
"1 2 4\n"
"11 5 6\n"
"DenseMatrix(2x3, uint64_t)\n"
"5 2 3\n"
"5 5 6\n"
"DenseMatrix(2x3, uint64_t)\n"
"3 3 3\n"
"4 5 6\n"
"DenseMatrix(2x3, uint64_t)\n"
"4 4 4\n"
"4 5 6\n"
Expand Down
20 changes: 14 additions & 6 deletions test/api/cli/codegen/ewbinary_add.daphne
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Original file line number Diff line number Diff line change
Expand Up @@ -4,18 +4,26 @@

// f64
X = [1.0, 2, 3, 4, 5, 6](2, 3);
rowVec = [5.0, 4, 3](1,);
colVec = [4.0, 3](,1);
a = as.scalar(X[0:1, 1:2]); // 2
b = as.scalar(X[1:2, 0:1]); // 4

print(X + X); // mat + mat
print(X + a); // mat + scalar (broadcasting)
print(a + b); // scalar + scalar
print(X + X); // mat + mat
print(X + rowVec); // mat + mat (broadcasting along columns)
print(X + colVec); // mat + mat (broadcasting along rows)
print(X + a); // mat + scalar (broadcasting)
print(a + b); // scalar + scalar

// si64
X = [1, 2, 3, 4, 5, 6](2, 3);
rowVec = [5, 4, 3](1,);
colVec = [4, 3](,1);
a = as.scalar(X[0:1, 1:2]); // 2
b = as.scalar(X[1:2, 0:1]); // 4

print(X + X); // mat + mat
print(X + a); // mat + scalar (broadcasting)
print(a + b); // scalar + scalar
print(X + X); // mat + mat
print(X + rowVec); // mat + mat (broadcasting along columns)
print(X + colVec); // mat + mat (broadcasting along rows)
print(X + a); // mat + scalar (broadcasting)
print(a + b); // scalar + scalar
30 changes: 21 additions & 9 deletions test/api/cli/codegen/ewbinary_div.daphne
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Original file line number Diff line number Diff line change
Expand Up @@ -4,27 +4,39 @@

// f64
X = [1.0, 2, 3, 4, 5, 6](2, 3);
rowVec = [5.0, 4, 3](1,);
colVec = [4.0, 3](,1);
a = as.scalar(X[0:1, 1:2]); // 2
b = as.scalar(X[1:2, 0:1]); // 4

print(X / X); // mat / mat
print(X / a); // mat / scalar (broadcasting)
print(a / b); // scalar / scalar
print(X / X); // mat / mat
print(X / rowVec); // mat / mat (broadcasting along columns)
print(X / colVec); // mat / mat (broadcasting along rows)
print(X / a); // mat / scalar (broadcasting)
print(a / b); // scalar / scalar

// si64
X = [1, 2, 3, 4, 5, 6](2, 3);
rowVec = [5, 4, 3](1,);
colVec = [4, 3](,1);
a = as.scalar(X[1:2, 0:1]); // 4
b = as.scalar(X[0:1, 1:2]); // 2

print(X / X); // mat / mat
print(X / a); // mat / scalar (broadcasting)
print(a / b); // scalar / scalar
print(X / X); // mat / mat
print(X / rowVec); // mat / mat (broadcasting along columns)
print(X / colVec); // mat / mat (broadcasting along rows)
print(X / a); // mat / scalar (broadcasting)
print(a / b); // scalar / scalar

// ui64
X = [1u, 2u, 3u, 4u, 5u, 6u](2, 3);
rowVec = [5u, 4u, 3u](1,);
colVec = [4u, 3u](,1);
a = as.scalar(X[1:2, 0:1]); // 4
b = as.scalar(X[0:1, 1:2]); // 2

print(X / X); // mat / mat
print(X / a); // mat / scalar (broadcasting)
print(a / b); // scalar / scalar
print(X / X); // mat / mat
print(X / rowVec); // mat / mat (broadcasting along columns)
print(X / colVec); // mat / mat (broadcasting along rows)
print(X / a); // mat / scalar (broadcasting)
print(a / b); // scalar / scalar
30 changes: 21 additions & 9 deletions test/api/cli/codegen/ewbinary_max.daphne
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Original file line number Diff line number Diff line change
Expand Up @@ -5,29 +5,41 @@
// f64
X = [1.0, 2, 3, 4, 5, 6](2, 3);
Y = [0.0, 1, 4, 11, 5, 0](2, 3);
rowVec = [5.0, 1, 3](1,);
colVec = [3.0, 3](,1);
a = as.scalar(X[1:2, 0:1]); // 4
b = as.scalar(X[0:1, 1:2]); // 2

print(max(X, Y)); // mat, mat
print(max(X, a)); // mat, scalar (broadcasting)
print(max(a, b)); // scalar, scalar
print(max(X, Y)); // mat, mat
print(max(X, rowVec)); // mat, mat (broadcasting along columns)
print(max(X, colVec)); // mat, mat (broadcasting along rows)
print(max(X, a)); // mat, scalar (broadcasting)
print(max(a, b)); // scalar, scalar

// si64
X = [1, 2, 3, 4, 5, 6](2, 3);
Y = [0, 1, 4, 11, 5, 0](2, 3);
rowVec = [5, 1, 3](1,);
colVec = [3, 3](,1);
a = as.scalar(X[1:2, 0:1]); // 4
b = as.scalar(X[0:1, 1:2]); // 2

print(max(X, Y)); // mat, mat
print(max(X, a)); // mat, scalar (broadcasting)
print(max(a, b)); // scalar, scalar
print(max(X, Y)); // mat, mat
print(max(X, rowVec)); // mat, mat (broadcasting along columns)
print(max(X, colVec)); // mat, mat (broadcasting along rows)
print(max(X, a)); // mat, scalar (broadcasting)
print(max(a, b)); // scalar, scalar

// ui64
X = [1u, 2u, 3u, 4u, 5u, 6u](2, 3);
Y = [0u, 1u, 4u, 11u, 5u, 0u](2, 3);
rowVec = [5u, 1u, 3u](1,);
colVec = [3u, 3u](,1);
a = as.scalar(X[1:2, 0:1]); // 4
b = as.scalar(X[0:1, 1:2]); // 2

print(max(X, Y)); // mat, mat
print(max(X, a)); // mat, scalar (broadcasting)
print(max(a, b)); // scalar, scalar
print(max(X, Y)); // mat, mat
print(max(X, rowVec)); // mat, mat (broadcasting along columns)
print(max(X, colVec)); // mat, mat (broadcasting along rows)
print(max(X, a)); // mat, scalar (broadcasting)
print(max(a, b)); // scalar, scalar
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