stride3d/stride · error · InvalidOperationException
Can't cast from to (larger matrix)
Error message
Can't cast from {m1} to {m2} (larger matrix) What it means
Thrown by Builder.Expressions.Convert when casting between two matrix types where the source matrix has fewer rows or columns than the target (an upcast to a 'larger matrix'). Conversion only supports shrinking or same-shape matrices, so growing a matrix is rejected with InvalidOperationException.
Solutions
- Fix the shader to use same-size or smaller target matrices.
- Construct the larger matrix explicitly from the smaller one's rows/identity fill in shader code.
- Verify the variable declarations in the shader match the intended math.
Example fix
// before float3x3 m3 = (float3x3)m2; // after float3x3 m3 = float3x3(m2[0].xy0, m2[1].xy0, float3(0,0,1)); // explicit construction
Defensive patterns
Strategy: validation
Validate before calling
bool canCastMatToMat(MatrixType from, MatrixType to) => from.Rows >= to.Rows && from.Columns >= to.Columns;
Type guard
bool IsMatUpcast(SymbolType from, SymbolType to) => from is MatrixType a && to is MatrixType b && (a.Rows < b.Rows || a.Columns < b.Columns);
Prevention
- Never widen matrices via casts in shader code.
- Build larger matrices explicitly with identity fill.
- Double-check matrix dimensions in assignments.
When it happens
Trigger: Calling Convert with (MatrixType, MatrixType) where m1.Rows < m2.Rows || m1.Columns < m2.Columns, e.g. casting a 2x2 matrix to 3x3; reached via ConvertTexCoord, ConvertOffset, constant0/1, CompileSign, MultiplyConstant.
Common situations: Shader code widening matrices implicitly (e.g. assigning float2x2 into a float3x3 variable), unsupported in both HLSL semantics and this converter; usually indicates a shader type mistake.
Understand the failure class
Background: "is not a compatible type" / "cannot merge" errors: when a value's type doesn't match what the library requires — this error's family across 65 libraries.
Related errors
- Can't cast from to
- Cast from to is not implemented
- Can't cast from to
- Cast from to is not implemented
- spirv_to_dxil_pipeline failed; SPIR-V dumped to
AI-assisted analysis of stride3d/stride@96fad776d2 (2026-09-14).
Data as JSON: /api/errors/5a642e5482de0624.
Report an issue: GitHub.
Appendix: source
Thrown at sources/shaders/Stride.Shaders.Parsers/Spirv/Building/Builder.Expressions.cs:578
for (int i = 0; i < v2.Size; ++i)
Insert(new OpCompositeExtract(context.GetOrRegister(v1.BaseType), valuesTemp[i] = context.Bound++, valueId, [i]));
valueType = new VectorType(v1.BaseType, v2.Size);
values[0] = Insert(new OpCompositeConstruct(context.GetOrRegister(valueType), context.Bound++, new LiteralArray<int>(valuesTemp))).ResultId;
break;
}
case (VectorType v1, MatrixType m2) when v1.Size != m2.Rows * m2.Columns:
throw new InvalidOperationException($"Can't cast from {v1} to {m2}");
case (VectorType v1, MatrixType m2) when v1.Size == m2.Rows * m2.Columns:
throw new NotImplementedException($"Cast from {v1} to {m2} is not implemented (even though it should be valid since number of components is same");
case (MatrixType m1, ScalarType s2):
values[0] = Insert(new OpCompositeExtract(context.GetOrRegister(m1.BaseType), context.Bound++, valueId, [0, 0])).ResultId;
break;
case (MatrixType m1, VectorType v2) when v2.Size != m1.Rows * m1.Columns:
throw new InvalidOperationException($"Can't cast from {m1} to {v2}");
case (MatrixType m1, VectorType v2) when v2.Size == m1.Rows * m1.Columns:
throw new NotImplementedException($"Cast from {m1} to {v2} is not implemented (even though it should be valid since number of components is same");
case (MatrixType m1, MatrixType m2) when m1.Rows < m2.Rows || m1.Columns < m2.Columns:
throw new InvalidOperationException($"Can't cast from {m1} to {m2} (larger matrix)");
case (MatrixType m1, MatrixType m2) when m1.Rows >= m2.Rows && m1.Columns >= m2.Columns:
{
// Extract each of the m2.Columns leading matrix columns, and shorten it from
// m1.Rows down to m2.Rows components when the column vectors also shrink.
Span<int> shuffleIndices = stackalloc int[m2.Rows];
for (int j = 0; j < m2.Rows; ++j)
shuffleIndices[j] = j;
for (int i = 0; i < m2.Columns; ++i)
{
values[i] = Insert(new OpCompositeExtract(context.GetOrRegister(new VectorType(m1.BaseType, m1.Rows)), context.Bound++, valueId, [i])).ResultId;
if (m1.Rows != m2.Rows)
{
values[i] = Insert(new OpVectorShuffle(context.GetOrRegister(new VectorType(m1.BaseType, m2.Rows)), context.Bound++, values[i], values[i], new(shuffleIndices))).ResultId;
}
}
valueType = new VectorType(m1.BaseType, m2.Rows);
valueCount = m2.Columns;
break;View on GitHub (pinned to 96fad776d2)