diff options
Diffstat (limited to 'src/core/NEON/kernels/NEDirectConvolutionLayerKernel.cpp')
| -rw-r--r-- | src/core/NEON/kernels/NEDirectConvolutionLayerKernel.cpp | 12 |
1 files changed, 6 insertions, 6 deletions
diff --git a/src/core/NEON/kernels/NEDirectConvolutionLayerKernel.cpp b/src/core/NEON/kernels/NEDirectConvolutionLayerKernel.cpp index 91b03687d8..559b67316f 100644 --- a/src/core/NEON/kernels/NEDirectConvolutionLayerKernel.cpp +++ b/src/core/NEON/kernels/NEDirectConvolutionLayerKernel.cpp @@ -979,7 +979,7 @@ public: // |__________________| // | pad_bottom | // |******************| - const int max_offset = input_stride_z * input_depth - (input->info()->padding().bottom + input->info()->padding().top) * input_stride_y; + const int64_t max_offset = input_stride_z * input_depth - (input->info()->padding().bottom + input->info()->padding().top) * input_stride_y; execute_window_loop(window_k, [&](const Coordinates & id_k) // loop on the batch size { @@ -1002,34 +1002,34 @@ public: for(int x = 0; x < input_width; x += num_elems_read_per_iteration) { // z == 0 - auto in_z = static_cast<int>(id.z() * conv_stride_y - conv_pad_top); + auto in_z = static_cast<int64_t>(id.z() * conv_stride_y - conv_pad_top); in_z = std::min(static_cast<unsigned int>(in_z), static_cast<unsigned int>(input_depth)); auto offset = y_offset + in_z * input_stride_z; offset = std::min(offset, max_offset); convolve_row1x9_nhwc(in_ptr + offset + x, weights_ptr + 0 * kernel_stride_z + x, input_stride_y, kernel_stride_y, out0, out1, out2, out3); // z == 1 - in_z = static_cast<int>(id.z() * conv_stride_y - conv_pad_top + 1); + in_z = static_cast<int64_t>(id.z() * conv_stride_y - conv_pad_top + 1); in_z = std::min(static_cast<unsigned int>(in_z), static_cast<unsigned int>(input_depth)); offset = y_offset + in_z * input_stride_z; offset = std::min(offset, max_offset); convolve_row1x9_nhwc(in_ptr + offset + x, weights_ptr + 1 * kernel_stride_z + x, input_stride_y, kernel_stride_y, out0, out1, out2, out3); // z == 2 - in_z = static_cast<int>(id.z() * conv_stride_y - conv_pad_top + 2); + in_z = static_cast<int64_t>(id.z() * conv_stride_y - conv_pad_top + 2); in_z = std::min(static_cast<unsigned int>(in_z), static_cast<unsigned int>(input_depth)); offset = y_offset + in_z * input_stride_z; offset = std::min(offset, max_offset); convolve_row1x9_nhwc(in_ptr + offset + x, weights_ptr + 2 * kernel_stride_z + x, input_stride_y, kernel_stride_y, out0, out1, out2, out3); // z == 3 - in_z = static_cast<int>(id.z() * conv_stride_y - conv_pad_top + 3); + in_z = static_cast<int64_t>(id.z() * conv_stride_y - conv_pad_top + 3); offset = y_offset + in_z * input_stride_z; offset = std::min(offset, max_offset); convolve_row1x9_nhwc(in_ptr + offset + x, weights_ptr + 3 * kernel_stride_z + x, input_stride_y, kernel_stride_y, out0, out1, out2, out3); // z == 4 - in_z = static_cast<int>(id.z() * conv_stride_y - conv_pad_top + 4); + in_z = static_cast<int64_t>(id.z() * conv_stride_y - conv_pad_top + 4); offset = y_offset + in_z * input_stride_z; convolve_row1x9_nhwc(in_ptr + offset + x, weights_ptr + 4 * kernel_stride_z + x, input_stride_y, kernel_stride_y, out0, out1, out2, out3); |