#ifndef CAFFE2_OPERATORS_CONV_TRANSPOSE_MOBILE_OP_H_
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#define CAFFE2_OPERATORS_CONV_TRANSPOSE_MOBILE_OP_H_
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#include "caffe2/core/common.h"
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#ifdef C10_MOBILE
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#include "caffe2/core/context.h"
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#include "caffe2/core/operator.h"
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#include "caffe2/operators/conv_transpose_unpool_op_base.h"
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namespace caffe2 {
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template <typename T, class Context>
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class ConvTransposeMobileOp final : public ConvTransposeUnpoolBase<Context> {
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public:
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USE_CONV_TRANSPOSE_UNPOOL_BASE_FUNCTIONS(Context);
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ConvTransposeMobileOp(const OperatorDef& operator_def, Workspace* ws)
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: ConvTransposeUnpoolBase<Context>(operator_def, ws) {
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OPERATOR_NEEDS_FEATURE(order_ == StorageOrder::NCHW, "Only NCHW order is supported right now.");
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OPERATOR_NEEDS_FEATURE(
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this->pad_l() == 0, "operator does not handle row width padding");
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OPERATOR_NEEDS_FEATURE(
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this->pad_r() == 0, "operator does not handle row width padding");
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OPERATOR_NEEDS_FEATURE(this->stride_w() <= 4, "stride width must be <= 4");
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}
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bool RunOnDeviceWithOrderNCHW() override;
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bool RunOnDeviceWithOrderNHWC() override;
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private:
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// We store a numThreasds per-worker tiles of Y, and numThreads per-worker threadBuffer for the
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// gemm output, laid out in that order.
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Tensor threadBuffer_{CPU};
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// Input: X, W, b
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// Output: Y
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INPUT_TAGS(INPUT, FILTER, BIAS);
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};
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} // namespace caffe2
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#endif // C10_MOBILE
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#endif // CAFFE2_OPERATORS_CONV_TRANSPOSE_MOBILE_OP_H_
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