Unintuitive out of memory errors, and odd OOMs

I'm experimenting with TensorScope, and thus using large amounts of memory for tensors. However, when I try this, I get odd oom-related errors.

Example (kotlin):

repeat(1000) {
    TFloat32.tensorOf(Shape.of(10000, 10000))
}

gives

2021-01-11 20:36:45.599992: W external/org_tensorflow/tensorflow/core/framework/cpu_allocator_impl.cc:81] Allocation of 400000000 exceeds 10% of free system memory.
2021-01-11 20:36:45.625897: W external/org_tensorflow/tensorflow/core/framework/cpu_allocator_impl.cc:81] Allocation of 400000000 exceeds 10% of free system memory.
2021-01-11 20:36:45.626092: W external/org_tensorflow/tensorflow/core/framework/cpu_allocator_impl.cc:81] Allocation of 400000000 exceeds 10% of free system memory.
2021-01-11 20:36:45.626180: W external/org_tensorflow/tensorflow/core/framework/cpu_allocator_impl.cc:81] Allocation of 400000000 exceeds 10% of free system memory.
2021-01-11 20:36:45.626262: W external/org_tensorflow/tensorflow/core/framework/cpu_allocator_impl.cc:81] Allocation of 400000000 exceeds 10% of free system memory.
Exception in thread "main" java.lang.NullPointerException
	at org.tensorflow.internal.buffer.TensorBuffers.tensorMemory(TensorBuffers.java:180)
	at org.tensorflow.internal.buffer.TensorBuffers.toFloats(TensorBuffers.java:102)
	at org.tensorflow.internal.types.TFloat32Mapper.mapDense(TFloat32Mapper.java:34)
	at org.tensorflow.internal.types.TFloat32Mapper.mapDense(TFloat32Mapper.java:30)
	at org.tensorflow.RawTensor.asTypedTensor(RawTensor.java:215)
	at org.tensorflow.Tensor.of(Tensor.java:90)
	at org.tensorflow.Tensor.of(Tensor.java:63)
	at org.tensorflow.types.TFloat32.tensorOf(TFloat32.java:79)
	at tester.TensorScopeKt.main(TensorScope.kt:8)
	at tester.TensorScopeKt.main(TensorScope.kt)

I'd think this is a fairly straight forward OOM, just without nice error messages, but the used memory in Task Manager (I'm on Windows) barely moves. I do start using heap memory, but it caps 100MB, even with -Xmx6g. Is there some limit on tensor allocations I'm not aware of?

Bắt đầu bằng cách tái hiện ví dụ Kotlin thông qua TFloat32.tensorOf và truy vết lỗi được báo cáo tại org/tensorflow/internal/buffer/TensorBuffers.java:180. So sánh các cảnh báo cấp phát native với exception phía Java và định nghĩa done là báo cáo các lỗi cấp phát bằng một lỗi chính xác, có thể hành động, thay vì NullPointerException đã quan sát được.