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#include "caffe2/operators/assert_op.h"
namespace caffe2 {
REGISTER_CPU_OPERATOR(Assert, AssertOp<CPUContext>);
OPERATOR_SCHEMA(Assert)
.NumInputs(1)
.NumOutputs(0)
.SetDoc(R"DOC(
Takes in a tensor of type *bool*, *int*, *long*, or *long long* and checks if all values are True when coerced into a boolean. In other words, for non-bool types this asserts that all values in the tensor are non-zero. If a value is False after coerced into a boolean, the operator throws an error. Else, if all values are True, nothing is returned. For tracability, a custom error message can be set using the `error_msg` argument.
Github Links:
- https://github.com/pytorch/pytorch/blob/master/caffe2/operators/assert_op.cc
<details>
<summary> <b>Example</b> </summary>
**Code**
```
workspace.ResetWorkspace()
op = core.CreateOperator(
"Assert",
["A"],
[],
error_msg="Failed assertion from Assert operator"
)
workspace.FeedBlob("A", np.random.randint(10, size=(3,3)).astype(np.int32))
print("A:", workspace.FetchBlob("A"))
try:
workspace.RunOperatorOnce(op)
except RuntimeError:
print("Assertion Failed!")
else:
print("Assertion Passed!")
```
**Result**
```
A:
[[7 5 6]
[1 2 4]
[5 3 7]]
Assertion Passed!
```
</details>
)DOC")
.Arg(
"error_msg",
"(*string*): custom error message to be thrown when the input does not pass assertion",
false)
.Input(0,"X","(*Tensor*): input tensor");
} // namespace caffe2
|
