Some name changes in im2col code
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ab0178c56b
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44b630fc22
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@ -41,23 +41,23 @@ void Xim2col<T>::DoIm2col(const size_t channels, const size_t height, const size
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// Makes sure all dimensions are larger than zero
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if ((channels == 0) || (height == 0) || (width == 0)) { throw BLASError(StatusCode::kInvalidDimension); }
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// Sets the output height and width
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// Sets the height and width of the 'col' result
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const auto size_h = height + 2 * pad_h;
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const auto padding_h = dilation_h * (kernel_h - 1) + 1;
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const auto output_h = (size_h >= padding_h) ? (size_h - padding_h) / stride_h + 1 : 1;
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const auto col_h = (size_h >= padding_h) ? (size_h - padding_h) / stride_h + 1 : 1;
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const auto size_w = width + 2 * pad_w;
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const auto padding_w = dilation_w * (kernel_w - 1) + 1;
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const auto output_w = (size_w >= padding_w) ? (size_w - padding_w) / stride_w + 1 : 1;
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const auto col_w = (size_w >= padding_w) ? (size_w - padding_w) / stride_w + 1 : 1;
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// Retrieves the Xcopy kernel from the compiled binary
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// Retrieves the kernel from the compiled binary
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auto kernel = Kernel(program_, "im2col");
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// Sets the kernel arguments
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kernel.SetArgument(0, static_cast<int>(height));
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kernel.SetArgument(1, static_cast<int>(width));
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kernel.SetArgument(2, static_cast<int>(channels));
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kernel.SetArgument(3, static_cast<int>(output_h));
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kernel.SetArgument(4, static_cast<int>(output_w));
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kernel.SetArgument(3, static_cast<int>(col_h));
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kernel.SetArgument(4, static_cast<int>(col_w));
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kernel.SetArgument(5, static_cast<int>(kernel_h));
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kernel.SetArgument(6, static_cast<int>(kernel_w));
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kernel.SetArgument(7, static_cast<int>(pad_h));
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@ -72,8 +72,8 @@ void Xim2col<T>::DoIm2col(const size_t channels, const size_t height, const size
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kernel.SetArgument(16, static_cast<int>(col_offset));
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// Launches the kernel
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const auto w_ceiled = Ceil(output_w, db_["COPY_DIMX"]);
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const auto h_ceiled = Ceil(output_h, db_["COPY_DIMY"]);
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const auto w_ceiled = Ceil(col_w, db_["COPY_DIMX"]);
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const auto h_ceiled = Ceil(col_h, db_["COPY_DIMY"]);
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const auto global = std::vector<size_t>{w_ceiled, h_ceiled * channels};
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const auto local = std::vector<size_t>{db_["COPY_DIMX"], db_["COPY_DIMY"]};
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RunKernel(kernel, queue_, device_, global, local, event_);
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@ -8,6 +8,7 @@
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// Cedric Nugteren <www.cedricnugteren.nl>
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//
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// This file implements the Xim2col routine. The precision is implemented using a template argument.
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// Uses the tuning parameters from the regular copy kernel.
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//
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// =================================================================================================
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@ -39,20 +39,20 @@ public:
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static std::vector<std::string> BuffersOut() { return {kBufMatB}; }
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// Describes how to obtain the sizes of the buffers
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static size_t OutputHeight(const Arguments<T> &args) {
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static size_t ColHeight(const Arguments<T> &args) {
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const auto size = args.height + 2 * args.pad_h;
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const auto padding = args.dilation_h * (args.kernel_h - 1) + 1;
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if (size >= padding) { return (size - padding) / args.stride_h + 1; }
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return 1;
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}
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static size_t OutputWidth(const Arguments<T> &args) {
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static size_t ColWidth(const Arguments<T> &args) {
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const auto size = args.width + 2 * args.pad_w;
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const auto padding = args.dilation_w * (args.kernel_w - 1) + 1;
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if (size >= padding) { return (size - padding) / args.stride_w + 1; }
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return 1;
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}
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static size_t NumPatches(const Arguments<T> &args) {
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return OutputHeight(args) * OutputWidth(args) * args.channels;
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return ColHeight(args) * ColWidth(args) * args.channels;
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}
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static size_t GetSizeA(const Arguments<T> &args) {
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return args.height * args.width * args.channels + args.a_offset;
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@ -156,13 +156,13 @@ public:
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template <typename T>
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StatusCode RunReference(const Arguments<T> &args, BuffersHost<T> &buffers_host) {
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const auto output_h = TestXim2col<T>::OutputHeight(args);
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const auto output_w = TestXim2col<T>::OutputWidth(args);
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const auto col_h = TestXim2col<T>::ColHeight(args);
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const auto col_w = TestXim2col<T>::ColWidth(args);
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for (auto c_id = size_t{0}; c_id < args.channels; ++c_id) { // input channels
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for (auto kh_id = size_t{0}; kh_id < args.kernel_h; ++kh_id) { // kernel height
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for (auto kw_id = size_t{0}; kw_id < args.kernel_w; ++kw_id) { // kernel width
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for (auto h_id = size_t{0}; h_id < output_h; ++h_id) { // image height
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for (auto w_id = size_t{0}; w_id < output_w; ++w_id) { // image width
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for (auto h_id = size_t{0}; h_id < col_h; ++h_id) { // image height
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for (auto w_id = size_t{0}; w_id < col_w; ++w_id) { // image width
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// Retrieves the input value
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const auto h_index = kh_id * args.dilation_h + args.stride_h * h_id - args.pad_h;
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@ -170,16 +170,16 @@ StatusCode RunReference(const Arguments<T> &args, BuffersHost<T> &buffers_host)
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auto val = ConstantZero<T>();
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if (h_index >= 0 && h_index < args.height &&
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w_index >= 0 && w_index < args.width) {
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const auto input_index = w_index + args.width * (h_index + args.height * c_id);
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val = buffers_host.a_mat[input_index + args.a_offset];
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const auto im_index = w_index + args.width * (h_index + args.height * c_id);
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val = buffers_host.a_mat[im_index + args.a_offset];
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}
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// Sets the output value
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const auto kernel_index = kw_id + args.kernel_w * kh_id;
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const auto patch_index = w_id + output_w * h_id;
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const auto output_index = patch_index + kernel_index * output_w * output_h +
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c_id * output_w * output_h * args.kernel_h * args.kernel_w;
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buffers_host.b_mat[output_index + args.b_offset] = val;
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const auto patch_index = w_id + col_w * h_id;
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const auto col_index = patch_index + kernel_index * col_w * col_h +
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c_id * col_w * col_h * args.kernel_h * args.kernel_w;
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buffers_host.b_mat[col_index + args.b_offset] = val;
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}
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}
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}
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