Remove duplicated header and undo some changes in D15399811

Summary:
Delete duplicated header

Remove #ifndef and replace with pragma once.

Reviewed By: jianyuh

Differential Revision: D15669744

fbshipit-source-id: 8895f6c867e626ac5813a8952837435e76b09370

1 files changed, 0 insertions, 174 deletions

diff --git a/src/FbgemmI8DepthwiseAvx2.h b/src/FbgemmI8DepthwiseAvx2.h
deleted file mode 100644
index e2730df..0000000
--- a/src/FbgemmI8DepthwiseAvx2.h
+++ /dev/null
@@ -1,174 +0,0 @@
-/*
- * Copyright (c) Facebook, Inc. and its affiliates.
- * All rights reserved.
- * This source code is licensed under the BSD-style license found in the
- * LICENSE file in the root directory of this source tree.
- */
-#ifndef I8DEPTHWISE_H
-#define I8DEPTHWISE_H
-
-#include <cstdint>
-#include "fbgemm/FbgemmBuild.h"
-
-namespace fbgemm {
-
-// KERNEL_PROD is the product of all kernels.
-// For example, KERNEL_PROD = 9 for 3x3, and 27 for 3x3x3.
-template <int KERNEL_PROD>
-class FBGEMM_API PackedDepthWiseConvMatrix {
- public:
-  // smat in RSG layout
-  PackedDepthWiseConvMatrix(int K, const std::int8_t* smat);
-  virtual ~PackedDepthWiseConvMatrix();
-
-  const std::int8_t* PackedMat() const {
-    return pmat_;
-  }
-
- private:
-  int K_;
-  std::int8_t* pmat_;
-}; // Packed3x3ConvMatrix
-
-using Packed3x3ConvMatrix = PackedDepthWiseConvMatrix<3 * 3>;
-using Packed3x3x3ConvMatrix = PackedDepthWiseConvMatrix<3 * 3 * 3>;
-
-/**
- * Depth-wise 3x3 convolution with pad=1 and stride=1 and K a multiple of 8
- * @params A The input image in NHWK layout
- * @params Bp The pre-packed filter
- */
-FBGEMM_API void depthwise_3x3_pad_1(
-    int N,
-    int H,
-    int W,
-    int K,
-    int stride_h,
-    int stride_w,
-    std::int32_t A_zero_point,
-    const std::uint8_t* A,
-    const Packed3x3ConvMatrix& Bp,
-    std::int32_t* C,
-    int thread_id = 0,
-    int num_threads = 1);
-
-/**
- * Depth-wise 3x3 convolution with pad=1 and stride=1 and K a multiple of 8
- * This version is fused with requantization.
- *
- * @col_offsets nullptr if col_offsets are folded into bias
- */
-FBGEMM_API void depthwise_3x3_pad_1(
-    int N,
-    int H,
-    int W,
-    int K,
-    int stride_h,
-    int stride_w,
-    std::int32_t A_zero_point,
-    const std::uint8_t* A,
-    std::int32_t B_zero_point,
-    const Packed3x3ConvMatrix& Bp,
-    float C_multiplier,
-    std::int32_t C_zero_point,
-    std::uint8_t* C,
-    const std::int32_t* col_offsets,
-    const std::int32_t* bias,
-    bool fuse_relu = false,
-    int thread_id = 0,
-    int num_threads = 1);
-
-/**
- * Depth-wise 3x3 convolution with pad=1 and stride=1 and K a multiple of 8
- * This version is fused with requantization and uses per-channel quantization.
- *
- * @col_offsets nullptr if col_offsets are folded into bias
- */
-FBGEMM_API void depthwise_3x3_per_channel_quantization_pad_1(
-    int N,
-    int H,
-    int W,
-    int K,
-    int stride_h,
-    int stride_w,
-    std::int32_t A_zero_point,
-    const std::uint8_t* A,
-    const std::int32_t* B_zero_point,
-    const Packed3x3ConvMatrix& Bp,
-    const float* C_multiplier,
-    std::int32_t C_zero_point,
-    std::uint8_t* C,
-    const std::int32_t* col_offsets,
-    const std::int32_t* bias,
-    bool fuse_relu = false,
-    int thread_id = 0,
-    int num_threads = 1);
-
-FBGEMM_API void depthwise_3x3x3_pad_1(
-    int N,
-    int T,
-    int H,
-    int W,
-    int K,
-    int stride_t,
-    int stride_h,
-    int stride_w,
-    std::int32_t A_zero_point,
-    const std::uint8_t* A,
-    const Packed3x3x3ConvMatrix& Bp,
-    std::int32_t* C,
-    int thread_id = 0,
-    int num_threads = 1);
-
-/**
- * @col_offsets nullptr if col_offsets are folded into bias
- */
-FBGEMM_API void depthwise_3x3x3_pad_1(
-    int N,
-    int T,
-    int H,
-    int W,
-    int K,
-    int stride_t,
-    int stride_h,
-    int stride_w,
-    std::int32_t A_zero_point,
-    const std::uint8_t* A,
-    std::int32_t B_zero_point,
-    const Packed3x3x3ConvMatrix& Bp,
-    float C_multiplier,
-    std::int32_t C_zero_point,
-    std::uint8_t* C,
-    const std::int32_t* col_offsets,
-    const std::int32_t* bias,
-    bool fuse_relu = false,
-    int thread_id = 0,
-    int num_threads = 1);
-
-/**
- * @col_offsets nullptr if col_offsets are folded into bias
- */
-FBGEMM_API void depthwise_3x3x3_per_channel_quantization_pad_1(
-    int N,
-    int T,
-    int H,
-    int W,
-    int K,
-    int stride_t,
-    int stride_h,
-    int stride_w,
-    std::int32_t A_zero_point,
-    const std::uint8_t* A,
-    const std::int32_t* B_zero_point,
-    const Packed3x3x3ConvMatrix& Bp,
-    const float* C_multiplier,
-    std::int32_t C_zero_point,
-    std::uint8_t* C,
-    const std::int32_t* col_offsets,
-    const std::int32_t* bias,
-    bool fuse_relu = false,
-    int thread_id = 0,
-    int num_threads = 1);
-
-} // namespace fbgemm
-#endif