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[QNN] Conv2D type checking for kernel per-channel scales. #4732
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src/relay/qnn/op/convolution.cc
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CHECK(IsScalarType(types[5], DataType::Float(32))); // kernel_scale | ||
// Kernel scale can be a vector of length output_channels or a scalar. | ||
size_t axis = param->kernel_layout.find("O"); | ||
AssignType(types[4], DataType::Float(32), weight->shape[axis], reporter); // kernel scale |
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should this be types[5]? there is a types[4] on line 59.
src/relay/qnn/op/convolution.cc
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@@ -57,7 +57,9 @@ bool QnnConv2DRel(const Array<Type>& types, int num_inputs, const Attrs& attrs, | |||
CHECK(IsScalarType(types[2], DataType::Int(32))); // input_zero_point | |||
CHECK(IsScalarType(types[3], DataType::Int(32))); // kernel_zero_point | |||
CHECK(IsScalarType(types[4], DataType::Float(32))); // input_scale | |||
CHECK(IsScalarType(types[5], DataType::Float(32))); // kernel_scale | |||
// Kernel scale can be a vector of length output_channels or a scalar. | |||
size_t axis = param->kernel_layout.find("O"); |
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Since it is a single char, better use 'O' instead of "O", from C++ perspective.
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Also we should check what happens if there is no "O", just to be safe.
@shoubhik Good catch about the index. Comments addressed. |
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LGTM
Thank you for ping, and sorry for missed this. I had a busy week. :) |
* [QNN] Conv2D type checking for kernel per-channel scales. * Address commments. * Address comments. * - Adding safety checks for downcasts. Co-authored-by: shoubhik <[email protected]>
* [QNN] Conv2D type checking for kernel per-channel scales. * Address commments. * Address comments. * - Adding safety checks for downcasts. Co-authored-by: shoubhik <[email protected]>
* [QNN] Conv2D type checking for kernel per-channel scales. * Address commments. * Address comments. * - Adding safety checks for downcasts. Co-authored-by: shoubhik <[email protected]>
As Title.
@FrozenGene @jackwish @shoubhik @yzhliu