/external/tensorflow/tensorflow/core/kernels/ |
resize_nearest_neighbor_op_gpu.cu.cc | 38 const int in_width, const int channels, const int out_height, 50 const T* bottom_data_n = bottom_data + n * channels * in_height * in_width; 58 in_width - 1); 59 const int idx = (in_y * in_width + in_x) * channels + c; 67 const int in_width, const int channels, const int out_height, 74 int in_x = n % in_width; 75 n /= in_width; 105 const int64 in_width = input.dimension(2); local 117 output_size, input.data(), in_height, in_width, channels, 139 const int64 in_width = input.dimension(2) local [all...] |
resize_bilinear_op_gpu.cu.cc | 38 int batch, int in_height, int in_width, 60 (in_x < in_width - 1) ? ceilf(in_x) : in_width - 1; 64 images[((b * in_height + top_y_index) * in_width + left_x_index) * 68 images[((b * in_height + top_y_index) * in_width + right_x_index) * 72 images[((b * in_height + bottom_y_index) * in_width + left_x_index) * 76 images[((b * in_height + bottom_y_index) * in_width + right_x_index) * 157 const int in_width = images.dimension(2); local 170 width_scale, batch, in_height, in_width, channels, out_height,
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resize_area_op.cc | 72 int64 offset = 3 * BOUND_IF_NEEDED(x_interp.start, st.in_width); 79 int64 offset = 3 * BOUND_IF_NEEDED(x, st.in_width); 85 offset = 3 * BOUND_IF_NEEDED(x_interp.end - 1, st.in_width); 123 BOUND_IF_NEEDED(x_interp.start, st.in_width) + 129 ptr[num_channels * BOUND_IF_NEEDED(x, st.in_width) + c]); 134 BOUND_IF_NEEDED(x_interp.end - 1, st.in_width) + 178 Bound(x_interp.start, st.in_width) != x_interp.start || 179 Bound(x_interp.end - 1, st.in_width) != (x_interp.end - 1); 239 input_ptr + (b * st.in_height * st.in_width * st.channels + 240 Bound(i, st.in_height) * st.in_width * st.channels)) [all...] |
depthwise_conv_op_gpu.cu.cc | 76 const int in_width = args.in_cols; local 112 input_row_end < in_height && input_col_end < in_width) { 123 in_depth * (in_col + in_width * (in_row + input_offset_temp)); 140 in_col < in_width) { 145 in_depth * (in_col + in_width * (in_row + input_offset_temp)); 180 const int in_width = args.in_cols; 195 const int block_size = block_height * in_width * kBlockDepth; 196 const int in_row_size = in_width * in_depth; 198 const int in_increment = (in_width - 1) * kBlockDepth; 200 const int tile_width = in_width + filter_width - 1 [all...] |
resize_nearest_neighbor_op.cc | 52 OP_REQUIRES(context, st.in_height < (1 << 24) && st.in_width < (1 << 24), 93 const int64 in_width = input.dimension(2); local 109 in_width - 1); 149 const int64 in_width = input.dim_size(2); variable 171 CalculateResizeScale(out_width, in_width, align_corners_); 204 const int64 in_width = input.dimension(2); local 217 for (int x = 0; x < in_width; ++x) {
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quantized_resize_bilinear_op_test.cc | 109 const int64 in_height, const int64 in_width, 116 GetReferenceWeight(out_width, in_width, channels, x, width_scale); 120 const int64 in_row_size = in_width * channels; 144 const int64 in_height, const int64 in_width, 153 CalculateResizeScale(in_width, out_width, align_corners); 160 in_data, batch_size, in_height, in_width, out_height, out_width, 236 constexpr int IN_WIDTH = 128; 240 constexpr float SCALE = static_cast<float>(IN_WIDTH) / OUT_WIDTH; 241 Tensor image_quantized_tensor(DT_QINT32, TensorShape({1, 1, IN_WIDTH, 1})); 280 /*in_height=*/IN_WIDTH, [all...] |
resize_area_op_test.cc | 64 const int64 in_width = input_data.dimension(2); local 74 const float width_scale = in_width / static_cast<float>(out_width); 130 BOUND(j, in_width), c)) * 145 void RunRandomTest(int in_height, int in_width, int target_height, 148 SetRandomImageInput(TensorShape({1, in_height, in_width, channels}));
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image_resizer_state.h | 81 in_width = static_cast<int32>(input.dim_size(2)); 92 width_scale = CalculateResizeScale(in_width, out_width, align_corners_); 122 int64 in_width; member in struct:tensorflow::ImageResizerState
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resize_bicubic_op_test.cc | 114 const int64 in_width = images.dimension(2); local 124 const float width_scale = in_width / static_cast<float>(out_width); 136 GetWeightsAndIndices(width_scale, x, in_width, &x_weights, 159 const int64 in_width, const int target_height, 161 LOG(INFO) << "Running random test " << in_height << "x" << in_width << "x" 165 TensorShape({batch_size, in_height, in_width, channels}));
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resize_bilinear_op.cc | 105 const int64 in_height, const int64 in_width, const int64 out_height, 113 const int64 in_width, const int64 out_height, 118 const int64 in_row_size = in_width * channels; 209 const int64 in_width = images.dimension(2); local 216 if (out_height == in_height && out_width == in_width) { 227 compute_interpolation_weights(out_width, in_width, width_scale, xs.data()); 235 resize_image<T>(images, batch_size, in_height, in_width, out_height,
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quantized_resize_bilinear_op.cc | 463 const int64 in_width, const int64 out_height, 471 BuildLerpCache<float>(out_width, in_width, width_scale, channels, 0); 475 const int64 in_row_size = in_width * channels; 511 const int64 in_width, const int64 out_height, 516 ResizeImageReference<T>(images, batch_size, in_height, in_width, out_height, 524 const int64 in_width, const int64 out_height, 536 out_width, in_width, width_scale, channels, RESOLUTION); 540 const int64 in_row_size = in_width * channels; 585 const int64 in_width, const int64 out_height, 597 out_width, in_width, width_scale, channels, RESOLUTION) 654 const int64 in_width = images.dimension(2); local [all...] |
ops_util_test.cc | 34 int in_width; member in struct:tensorflow::__anon39856::OpsUtilTest::padding_struct::__anon39857 78 pad_struct.input.in_width, pad_struct.input.filter_width, 93 pad_struct.input.in_width, pad_struct.input.filter_width, 112 pad_struct.input.in_width, pad_struct.input.filter_width,
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resize_bilinear_op_test.cc | 69 const int64 in_width = images.dimension(2); local 79 const float width_scale = in_width / static_cast<float>(out_width); 92 std::min(static_cast<int64>(ceilf(in_x)), in_width - 1);
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resize_bicubic_op.cc | 168 GetWeightsAndIndices(resizer_state.width_scale, x, resizer_state.in_width, 233 const int64 in_row_width = resizer_state.in_width * num_channels;
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/external/webrtc/webrtc/modules/video_render/android/java/src/org/webrtc/videoengine/ |
ViESurfaceRenderer.java | 61 int in_width, int in_height) { 64 changeDestRect(in_width, in_height); 67 " in_width:" + in_width + " in_height:" + in_height +
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/external/webrtc/talk/media/base/ |
videocommon.cc | 211 void ComputeScaleToSquarePixels(int in_width, int in_height, 214 *scaled_width = in_width; // Keep width the same.
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videoadapter.cc | 260 VideoFormat VideoAdapter::AdaptFrameResolution(int in_width, int in_height) { 265 in_width, in_height, input_format_.interval, input_format_.fourcc)); 295 << " Input: " << in_width 305 in_width, in_height, output_num_pixels_); 306 const int output_width = static_cast<int>(in_width * scale + .5f); 334 << " Input: " << in_width
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videoadapter.h | 63 VideoFormat AdaptFrameResolution(int in_width, int in_height);
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videocommon.h | 176 void ComputeScaleToSquarePixels(int in_width, int in_height,
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/external/tensorflow/tensorflow/python/kernel_tests/ |
depthtospace_op_test.py | 230 def compareToTranspose(self, batch_size, in_height, in_width, out_channels, 233 nhwc_input_shape = [batch_size, in_height, in_width, in_channels] 234 nchw_input_shape = [batch_size, in_channels, in_height, in_width]
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spacetodepth_op_test.py | 230 in_width = out_width * block_size 231 nhwc_input_shape = [batch_size, in_height, in_width, in_channels] 232 nchw_input_shape = [batch_size, in_channels, in_height, in_width]
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/external/webrtc/webrtc/video/ |
send_statistics_proxy.cc | 97 int in_width = input_width_counter_.Avg(kMinRequiredSamples); local 100 if (in_width != -1) { 102 in_width);
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/hardware/qcom/display/msm8909/sdm/libs/utils/ |
rect.cpp | 237 float in_width = in_rect.right - in_rect.left; local 245 out_rect->left = out_rect->right - in_width;
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/hardware/qcom/display/msm8909w_3100/sdm/libs/utils/ |
rect.cpp | 232 float in_width = in_rect.right - in_rect.left; local 240 out_rect->left = out_rect->right - in_width;
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/hardware/qcom/display/msm8998/sdm/libs/utils/ |
rect.cpp | 232 float in_width = in_rect.right - in_rect.left; local 240 out_rect->left = out_rect->right - in_width;
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