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Runtime TensorFlow errors do not point back to the originating source
Imported from JIRA https://bugs.swift.org/si/jira.issueviews:issue-html/TF-225
| Type: | Bug | Priority: | Major |
|---|---|---|---|
| Reporter: | Brennan Saeta | Assignee: | Unassigned |
| Resolution: | Unresolved | Votes: | 0 |
| Labels: | None |
In the following code:
import TensorFlow
struct Model: Layer {
var w = Tensor<Float>(randomNormal: [6, 6], mean: 1, stddev: 1)
var b = Tensor<Float>(zeros: [10])
@differentiable(wrt: (self, input))
func applied(to input: Tensor<Float>) -> Tensor<Float> {
return matmul(input, w) + b + b.transposed()
}
}
let m = Model()
m.applied(to: Tensor<Float>(zeros: [3]))
we get the following error:
Fatal error: In[0] is not a matrix. Instead it has shape [3]: file /swift-base/swift/stdlib/public/TensorFlow/CompilerRuntime.swift, line 2044
Current stack trace:
0 libswiftCore.so 0x00007fb027392e30 _swift_stdlib_reportFatalErrorInFile + 115
1 libswiftCore.so 0x00007fb0272db49c <unavailable> + 2999452
2 libswiftCore.so 0x00007fb0272db58e <unavailable> + 2999694
3 libswiftCore.so 0x00007fb027123272 <unavailable> + 1196658
4 libswiftCore.so 0x00007fb0272a5792 <unavailable> + 2779026
5 libswiftCore.so 0x00007fb0271226b9 <unavailable> + 1193657
6 libswiftTensorFlow.so 0x00007fb0247e0f12 <unavailable> + 405266
7 libswiftTensorFlow.so 0x00007fb0247df670 checkOk(_:file:line:) + 491
8 libswiftTensorFlow.so 0x00007fb0248001a0 _TFCCheckOk(_:) + 81
9 libswiftTensorFlow.so 0x00007fb024800190 _swift_tfc_CheckOk + 9
Current stack trace:
frame #8: 0x00007fb01b48543f $__lldb_expr656`specialized Model.applied(input=<unavailable>) at <Cell 33>:7
frame #10: 0x00007fb01b4889e6 $__lldb_expr668`main at <Cell 34>:2:3
The error should point back to the actual operation that failed (matmul) and the symbolic name of the problematic input variable (input).