mirror of
https://github.com/saymrwulf/pytorch.git
synced 2026-05-15 21:00:47 +00:00
95291f0f74
Summary: This reverts commit c3fa22fc7ca8066d5fc8fa780b23d7867fd3380e Differential Revision: D5348078 fbshipit-source-id: f536e647cbd221b26ccbc105a5f5f8bdbcc119ab
91 lines
3.2 KiB
C++
91 lines
3.2 KiB
C++
#include "queue_ops.h"
|
|
#include <memory>
|
|
|
|
namespace caffe2 {
|
|
|
|
CAFFE_KNOWN_TYPE(std::shared_ptr<BlobsQueue>);
|
|
|
|
namespace {
|
|
|
|
REGISTER_CPU_OPERATOR(CreateBlobsQueue, CreateBlobsQueueOp<CPUContext>);
|
|
REGISTER_CPU_OPERATOR(EnqueueBlobs, EnqueueBlobsOp<CPUContext>);
|
|
REGISTER_CPU_OPERATOR(DequeueBlobs, DequeueBlobsOp<CPUContext>);
|
|
REGISTER_CPU_OPERATOR(CloseBlobsQueue, CloseBlobsQueueOp<CPUContext>);
|
|
|
|
REGISTER_CPU_OPERATOR(SafeEnqueueBlobs, SafeEnqueueBlobsOp<CPUContext>);
|
|
REGISTER_CPU_OPERATOR(SafeDequeueBlobs, SafeDequeueBlobsOp<CPUContext>);
|
|
REGISTER_CPU_OPERATOR(
|
|
WeightedSampleDequeueBlobs,
|
|
WeightedSampleDequeueBlobsOp<CPUContext>);
|
|
|
|
OPERATOR_SCHEMA(CreateBlobsQueue).NumInputs(0).NumOutputs(1);
|
|
OPERATOR_SCHEMA(EnqueueBlobs)
|
|
.NumInputsOutputs([](int inputs, int outputs) {
|
|
return inputs >= 2 && outputs >= 1 && inputs == outputs + 1;
|
|
})
|
|
.EnforceInplace([](int input, int output) { return input == output + 1; });
|
|
OPERATOR_SCHEMA(DequeueBlobs)
|
|
.NumInputsOutputs([](int inputs, int outputs) {
|
|
return inputs == 1 && outputs >= 1;
|
|
})
|
|
.SetDoc(R"DOC(
|
|
Dequeue the blobs from queue.
|
|
)DOC")
|
|
.Arg("timeout_secs", "Timeout in secs, default: no timeout")
|
|
.Input(0, "queue", "The shared pointer for the BlobsQueue")
|
|
.Output(0, "blob", "The blob to store the dequeued data");
|
|
|
|
OPERATOR_SCHEMA(CloseBlobsQueue).NumInputs(1).NumOutputs(0);
|
|
|
|
OPERATOR_SCHEMA(SafeEnqueueBlobs)
|
|
.NumInputsOutputs([](int inputs, int outputs) {
|
|
return inputs >= 2 && outputs >= 2 && inputs == outputs;
|
|
})
|
|
.EnforceInplace([](int input, int output) { return input == output + 1; })
|
|
.SetDoc(R"DOC(
|
|
Enqueue the blobs into queue. When the queue is closed and full, the output
|
|
status will be set to true which can be used as exit criteria for execution
|
|
step.
|
|
The 1st input is the queue and the last output is the status. The rest are
|
|
data blobs.
|
|
)DOC")
|
|
.Input(0, "queue", "The shared pointer for the BlobsQueue");
|
|
|
|
OPERATOR_SCHEMA(SafeDequeueBlobs)
|
|
.NumInputsOutputs([](int inputs, int outputs) {
|
|
return inputs == 1 && outputs >= 2;
|
|
})
|
|
.SetDoc(R"DOC(
|
|
Dequeue the blobs from queue. When the queue is closed and empty, the output
|
|
status will be set to true which can be used as exit criteria for execution
|
|
step.
|
|
The 1st input is the queue and the last output is the status. The rest are
|
|
data blobs.
|
|
)DOC")
|
|
.Input(0, "queue", "The shared pointer for the BlobsQueue")
|
|
.Output(0, "blob", "The blob to store the dequeued data")
|
|
.Output(1, "status", "Is set to 0/1 depending on the success of dequeue");
|
|
|
|
OPERATOR_SCHEMA(WeightedSampleDequeueBlobs)
|
|
.NumInputs(1, INT_MAX)
|
|
.NumOutputs(2, INT_MAX)
|
|
.SetDoc(R"DOC(
|
|
Dequeue the blobs from multiple queues. When one of queues is closed and empty,
|
|
the output status will be set to true which can be used as exit criteria for
|
|
execution step.
|
|
The 1st input is the queue and the last output is the status. The rest are
|
|
data blobs.
|
|
)DOC")
|
|
.Input(0, "weights", "Weights for sampling from multiple queues");
|
|
|
|
NO_GRADIENT(CreateBlobsQueue);
|
|
NO_GRADIENT(EnqueueBlobs);
|
|
NO_GRADIENT(DequeueBlobs);
|
|
NO_GRADIENT(CloseBlobsQueue);
|
|
|
|
NO_GRADIENT(SafeEnqueueBlobs);
|
|
NO_GRADIENT(SafeDequeueBlobs);
|
|
NO_GRADIENT(WeightedSampleDequeueBlobs);
|
|
}
|
|
|
|
}
|