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feat: add avg_pool3d_backward base
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src/base/avg_pool3d_backward.h

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#ifndef INFINI_OPS_BASE_AVG_POOL3D_BACKWARD_H_
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#define INFINI_OPS_BASE_AVG_POOL3D_BACKWARD_H_
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#include "operator.h"
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namespace infini::ops {
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class AvgPool3dBackward : public Operator<AvgPool3dBackward> {
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public:
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AvgPool3dBackward(const Tensor grad_output, const Tensor input,
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const std::vector<int64_t> kernel_size,
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const std::vector<int64_t> stride,
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const std::vector<int64_t> padding, const bool ceil_mode,
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const bool count_include_pad, Tensor grad_input)
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: grad_output_shape_{grad_output.shape()},
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grad_output_strides_{grad_output.strides()},
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grad_output_type_{grad_output.dtype()},
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input_shape_{input.shape()},
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input_strides_{input.strides()},
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input_type_{input.dtype()},
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grad_input_shape_{grad_input.shape()},
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grad_input_strides_{grad_input.strides()},
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grad_input_type_{grad_input.dtype()},
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kernel_size_{kernel_size},
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stride_{stride},
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padding_{padding},
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ceil_mode_{ceil_mode},
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count_include_pad_{count_include_pad},
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device_index_{grad_input.device().index()} {}
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virtual void operator()(const Tensor grad_output, const Tensor input,
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const std::vector<int64_t> kernel_size,
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const std::vector<int64_t> stride,
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const std::vector<int64_t> padding,
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const bool ceil_mode, const bool count_include_pad,
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Tensor grad_input) const = 0;
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protected:
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Tensor::Shape grad_output_shape_;
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Tensor::Strides grad_output_strides_;
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DataType grad_output_type_;
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Tensor::Shape input_shape_;
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Tensor::Strides input_strides_;
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DataType input_type_;
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Tensor::Shape grad_input_shape_;
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Tensor::Strides grad_input_strides_;
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DataType grad_input_type_;
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std::vector<int64_t> kernel_size_{};
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std::vector<int64_t> stride_{};
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std::vector<int64_t> padding_{};
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bool ceil_mode_{};
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bool count_include_pad_{};
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int device_index_{0};
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};
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} // namespace infini::ops
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#endif

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