/aosp_15_r20/external/tensorflow/tensorflow/core/kernels/ |
H A D | maxpooling_op_gpu.cu.cc | 70 const int pooled_height, const int pooled_width, const int kernel_h, in MaxPoolForwardNCHW() argument 75 int pw = index % pooled_width; in MaxPoolForwardNCHW() 76 int ph = (index / pooled_width) % pooled_height; in MaxPoolForwardNCHW() 77 int c = (index / pooled_width / pooled_height) % channels; in MaxPoolForwardNCHW() 78 int n = index / pooled_width / pooled_height / channels; in MaxPoolForwardNCHW() 114 const int pooled_width, const int kernel_h, const int kernel_w, in MaxPoolForwardNoMaskKernel_NCHW_VECT_C() argument 120 int pw = index % pooled_width; in MaxPoolForwardNoMaskKernel_NCHW_VECT_C() 121 int ph = (index / pooled_width) % pooled_height; in MaxPoolForwardNoMaskKernel_NCHW_VECT_C() 122 int c = (index / pooled_width / pooled_height) % channels; in MaxPoolForwardNoMaskKernel_NCHW_VECT_C() 123 int n = index / pooled_width / pooled_height / channels; in MaxPoolForwardNoMaskKernel_NCHW_VECT_C() [all …]
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H A D | pooling_ops_3d_gpu.cu.cc | 33 const int pooled_height, const int pooled_width, const int channels, in MaxPoolGradBackwardNoMaskNCDHW() argument 41 int pw = index % pooled_width; in MaxPoolGradBackwardNoMaskNCDHW() 42 int ph = (index / pooled_width) % pooled_height; in MaxPoolGradBackwardNoMaskNCDHW() 43 int pp = (index / pooled_width / pooled_height) % pooled_plane; in MaxPoolGradBackwardNoMaskNCDHW() 44 int c = (index / pooled_width / pooled_height / pooled_plane) % channels; in MaxPoolGradBackwardNoMaskNCDHW() 45 int n = (index / pooled_width / pooled_height / pooled_plane / channels); in MaxPoolGradBackwardNoMaskNCDHW() 84 const int pooled_height, const int pooled_width, const int channels, in MaxPoolGradBackwardNoMaskNDHWC() argument 95 int wstart = (n % pooled_width) * stride_w - pad_l; in MaxPoolGradBackwardNoMaskNDHWC() 98 n /= pooled_width; in MaxPoolGradBackwardNoMaskNDHWC() 140 const int pooled_width, const int channels, const int plane, in operator ()() argument [all …]
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H A D | avgpooling_op_gpu.cu.cc | 46 const int pooled_height, const int pooled_width, const int kernel_h, in DEFINE_GPU_KERNELS() 59 const int pwend = min(w / stride_w + 1, pooled_width); in DEFINE_GPU_KERNELS() 62 top_diff + n * pooled_height * pooled_width * channels + c; in DEFINE_GPU_KERNELS() 73 gradient += top_diff_slice[(ph * pooled_width + pw) * channels] / in DEFINE_GPU_KERNELS() 85 const int pooled_width, const int kernel_h, in RunAvePoolBackwardNHWC() argument 95 channels, pooled_height, pooled_width, kernel_h, kernel_w, stride_h, in RunAvePoolBackwardNHWC() 104 const int pooled_width, const int kernel_h, const int kernel_w, 110 const int pooled_width, const int kernel_h, const int kernel_w, 116 const int pooled_width, const int kernel_h, const int kernel_w,
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H A D | maxpooling_op_gpu.h | 39 const int pooled_width, const int kernel_h, 49 const int pooled_width, const int kernel_h, 75 const int pooled_height, const int pooled_width,
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H A D | pooling_ops_3d_gpu.h | 36 const int pooled_height, const int pooled_width,
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H A D | avgpooling_op.h | 68 const int pooled_width, const int kernel_h,
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/aosp_15_r20/external/pytorch/aten/src/ATen/native/cuda/ |
H A D | AveragePool2d.cu | 36 const int pooled_width, const int kernel_h, const int kernel_w, in avg_pool2d_out_cuda_frame() argument 41 const int pw = index % pooled_width; in avg_pool2d_out_cuda_frame() 42 const int ph = (index / pooled_width) % pooled_height; in avg_pool2d_out_cuda_frame() 43 const int c = (index / pooled_width / pooled_height) % channels; in avg_pool2d_out_cuda_frame() 44 const int n = index / pooled_width / pooled_height / channels; in avg_pool2d_out_cuda_frame() 85 const int pooled_width, const int kernel_h, const int kernel_w, in avg_pool2d_out_cuda_frame_nhwc() argument 91 const int pw = (index / channels) % pooled_width; in avg_pool2d_out_cuda_frame_nhwc() 92 const int ph = (index / channels / pooled_width) % pooled_height; in avg_pool2d_out_cuda_frame_nhwc() 93 const int n = index / channels / pooled_width / pooled_height; in avg_pool2d_out_cuda_frame_nhwc() 133 const int64_t width, const int64_t pooled_height, const int64_t pooled_width, in avg_pool2d_backward_out_cuda_frame() argument [all …]
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H A D | DilatedMaxPool2d.cu | 47 const int64_t width, const int pooled_height, const int pooled_width, in max_pool_forward_nchw() argument 53 int pw = index % pooled_width; in max_pool_forward_nchw() 54 int ph = (index / pooled_width) % pooled_height; in max_pool_forward_nchw() 55 int c = (index / pooled_width / pooled_height) % channels; in max_pool_forward_nchw() 56 int n = index / pooled_width / pooled_height / channels; in max_pool_forward_nchw() 86 … const int64_t width, const int pooled_height, const int pooled_width, in C10_LAUNCH_BOUNDS_1() 115 top_data = top_data + batch_id * pooled_height * pooled_width * channels; in C10_LAUNCH_BOUNDS_1() 116 top_mask = top_mask + batch_id * pooled_height * pooled_width * channels; in C10_LAUNCH_BOUNDS_1() 123 int oW = (pooled_width + gridDim.y-1) / gridDim.y; in C10_LAUNCH_BOUNDS_1() 127 int oendW = ::min(ostartW+oW, pooled_width); in C10_LAUNCH_BOUNDS_1() [all …]
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/aosp_15_r20/external/ComputeLibrary/src/core/NEON/kernels/ |
H A D | NEROIPoolingLayerKernel.cpp | 48 … ARM_COMPUTE_RETURN_ERROR_ON((pool_info.pooled_width() == 0) || (pool_info.pooled_height() == 0)); in validate_arguments() 53 …ARM_COMPUTE_RETURN_ERROR_ON((output->dimension(0) != pool_info.pooled_width()) || (output->dimensi… in validate_arguments() 129 …TensorShape output_shape(pool_info.pooled_width(), pool_info.pooled_height(), input->info()->dimen… in configure() 134 …ARM_COMPUTE_ERROR_ON((output->info()->dimension(0) != pool_info.pooled_width()) || (output->info()… in configure() 163 const int pooled_w = _pool_info.pooled_width(); in run()
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H A D | NEROIAlignLayerKernel.cpp | 114 … ARM_COMPUTE_RETURN_ERROR_ON((pool_info.pooled_width() == 0) || (pool_info.pooled_height() == 0)); in validate_arguments()
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/aosp_15_r20/external/ComputeLibrary/src/core/CL/kernels/ |
H A D | CLROIPoolingLayerKernel.cpp | 61 … ARM_COMPUTE_RETURN_ERROR_ON((pool_info.pooled_width() == 0) || (pool_info.pooled_height() == 0)); in validate() 66 …ARM_COMPUTE_RETURN_ERROR_ON((output->dimension(0) != pool_info.pooled_width()) || (output->dimensi… in validate() 86 …TensorShape output_shape(pool_info.pooled_width(), pool_info.pooled_height(), input->info()->dimen… in configure() 105 build_opts.add_option("-DPOOLED_DIM_X=" + support::cpp11::to_string(pool_info.pooled_width())); in configure()
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H A D | CLROIAlignLayerKernel.cpp | 53 … ARM_COMPUTE_RETURN_ERROR_ON((pool_info.pooled_width() == 0) || (pool_info.pooled_height() == 0)); in validate_arguments() 117 build_opts.add_option("-DPOOLED_DIM_X=" + support::cpp11::to_string(pool_info.pooled_width())); in configure()
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/aosp_15_r20/external/ComputeLibrary/src/graph/nodes/ |
H A D | PoolingLayerNode.cpp | 50 unsigned int pooled_width = 0; in compute_output_descriptor() local 58 …std::tie(pooled_width, pooled_height) = scaled_dimensions(input_width, input_height, pool_size_x, … in compute_output_descriptor() 62 …put_descriptor.shape.set(get_dimension_idx(data_layout, DataLayoutDimension::WIDTH), pooled_width); in compute_output_descriptor()
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H A D | ROIAlignLayerNode.cpp | 80 output_desc.shape.set(idx_w, _pool_info.pooled_width()); in configure_output()
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/aosp_15_r20/external/ComputeLibrary/tests/validation/reference/ |
H A D | ROIPoolingLayer.cpp | 49 …TensorShape output_shape(pool_info.pooled_width(), pool_info.pooled_height(), src.shape()[… in roi_pool_layer() 52 const int pooled_w = pool_info.pooled_width(); in roi_pool_layer() 88 for(size_t px = 0; px < pool_info.pooled_width(); ++px) in roi_pool_layer()
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H A D | ROIAlignLayer.cpp | 151 …TensorShape output_shape(pool_info.pooled_width(), pool_info.pooled_height(), src.shape()[… in roi_align_layer() 155 for(size_t px = 0; px < pool_info.pooled_width(); ++px) in roi_align_layer() 172 float bin_size_x = roi_dims_x / pool_info.pooled_width(); in roi_align_layer()
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/aosp_15_r20/external/pytorch/docs/cpp/source/notes/ |
H A D | inference_mode.rst | 101 int64_t pooled_width, 106 ctx->saved_data["pooled_width"] = pooled_width; 115 pooled_width, sampling_ratio, aligned);
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/aosp_15_r20/external/ComputeLibrary/src/cpu/kernels/roialign/generic/neon/ |
H A D | impl.cpp | 230 const int pooled_w = pool_info.pooled_width(); in roi_align() 261 float bin_size_x = roi_dims_x / pool_info.pooled_width(); in roi_align()
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/aosp_15_r20/external/ComputeLibrary/arm_compute/core/ |
H A D | Types.h | 1410 …ROIPoolingLayerInfo(unsigned int pooled_width, unsigned int pooled_height, float spatial_scale, un… 1411 …: _pooled_width(pooled_width), _pooled_height(pooled_height), _spatial_scale(spatial_scale), _samp… in _pooled_width() argument 1415 unsigned int pooled_width() const in pooled_width() function
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/aosp_15_r20/external/ComputeLibrary/tests/validation/fixtures/ |
H A D | ROIPoolingLayerFixture.h | 71 const float pool_width = pool_info.pooled_width();
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H A D | ROIAlignLayerFixture.h | 72 const float pool_width = pool_info.pooled_width();
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/aosp_15_r20/external/pytorch/torch/_inductor/ |
H A D | lowering.py | 3982 *_, pooled_height, pooled_width = grad_output.get_size() 4024 pwend = ops.minimum(pwend, ops.index_expr(pooled_width, torch.int32)) 4733 *_, pooled_height, pooled_width = grad_output.get_size() 4804 pwend = ops.minimum(pwend, ops.index_expr(pooled_width, torch.int32)) 4834 pooled_width, 4904 *_, pooled_depth, pooled_height, pooled_width = grad_output.get_size() 4988 [pdend, phend, pwend], [pooled_depth, pooled_height, pooled_width] 5033 pooled_width,
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/aosp_15_r20/external/ComputeLibrary/arm_compute/core/utils/misc/ |
H A D | ShapeCalculator.h | 874 output_shape.set(idx_width, pool_info.pooled_width()); in compute_roi_align_shape()
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/aosp_15_r20/external/ComputeLibrary/utils/ |
H A D | TypePrinter.h | 360 …os << pool_info.pooled_width() << "x" << pool_info.pooled_height() << "~" << pool_info.spatial_sca…
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/aosp_15_r20/external/ComputeLibrary/arm_compute/graph/backends/ |
H A D | FunctionHelpers.h | 1856 << " ROIPooling width: " << pool_info.pooled_width() in create_roi_align_layer()
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