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/external/tensorflow/tensorflow/core/kernels/
Dresize_nearest_neighbor_op_gpu.cu.cc37 const int in_width, const int channels, const int out_height, in ResizeNearestNeighborNHWC() argument
49 const T* bottom_data_n = bottom_data + n * channels * in_height * in_width; in ResizeNearestNeighborNHWC()
58 in_width - 1), in ResizeNearestNeighborNHWC()
60 const int idx = (in_y * in_width + in_x) * channels + c; in ResizeNearestNeighborNHWC()
68 const int in_width, const int channels, const int out_height, in LegacyResizeNearestNeighborNHWC() argument
80 const T* bottom_data_n = bottom_data + n * channels * in_height * in_width; in LegacyResizeNearestNeighborNHWC()
88 in_width - 1); in LegacyResizeNearestNeighborNHWC()
89 const int idx = (in_y * in_width + in_x) * channels + c; in LegacyResizeNearestNeighborNHWC()
97 const int in_width, const int channels, const int out_height, in ResizeNearestNeighborBackwardNHWC() argument
104 int in_x = n % in_width; in ResizeNearestNeighborBackwardNHWC()
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Dresize_bilinear_op_gpu.cu.cc38 int in_width, int channels, int out_height, int out_width, in ResizeBilinearKernel_faster() argument
61 (in_x < in_width - 1) ? ceilf(in_x) : in_width - 1; in ResizeBilinearKernel_faster()
74 ((float4*)images)[(((b * in_height + top_y_index) * in_width + in ResizeBilinearKernel_faster()
80 ((float4*)images)[(((b * in_height + top_y_index) * in_width + in ResizeBilinearKernel_faster()
86 ((float4*)images)[(((b * in_height + bottom_y_index) * in_width + in ResizeBilinearKernel_faster()
92 ((float4*)images)[(((b * in_height + bottom_y_index) * in_width + in ResizeBilinearKernel_faster()
118 float width_scale, int batch, int in_height, int in_width, int channels, in ResizeBilinearKernel() argument
140 (in_x < in_width - 1) ? ceilf(in_x) : in_width - 1; in ResizeBilinearKernel()
144 images[((b * in_height + top_y_index) * in_width + left_x_index) * in ResizeBilinearKernel()
148 images[((b * in_height + top_y_index) * in_width + right_x_index) * in ResizeBilinearKernel()
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Ddepthwise_conv_op_gpu.h92 const int in_width = args.in_cols;
128 input_row_end < in_height && input_col_end < in_width) {
139 in_depth * (in_col + in_width * (in_row + input_offset_temp));
157 in_col < in_width) {
162 in_depth * (in_col + in_width * (in_row + input_offset_temp));
203 const int in_width = args.in_cols;
218 const int block_size = block_height * in_width * kBlockDepth;
219 const int in_row_size = in_width * in_depth;
221 const int in_increment = (in_width - 1) * kBlockDepth;
223 const int tile_width = in_width + filter_width - 1;
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Dresize_area_op.cc72 int64 offset = 3 * BOUND_IF_NEEDED(x_interp.start, st.in_width); in ComputePatchSumOf3Channels()
79 int64 offset = 3 * BOUND_IF_NEEDED(x, st.in_width); in ComputePatchSumOf3Channels()
85 offset = 3 * BOUND_IF_NEEDED(x_interp.end - 1, st.in_width); in ComputePatchSumOf3Channels()
123 BOUND_IF_NEEDED(x_interp.start, st.in_width) + in ComputePatchSum()
129 ptr[num_channels * BOUND_IF_NEEDED(x, st.in_width) + c]); in ComputePatchSum()
134 BOUND_IF_NEEDED(x_interp.end - 1, st.in_width) + in ComputePatchSum()
182 Bound(x_interp.start, st.in_width) != x_interp.start || in Compute()
183 Bound(x_interp.end - 1, st.in_width) != (x_interp.end - 1); in Compute()
243 input_ptr + (b * st.in_height * st.in_width * st.channels + in ComputeLoop()
244 Bound(i, st.in_height) * st.in_width * st.channels)); in ComputeLoop()
Dquantized_resize_bilinear_op_test.cc111 const int64 in_width, const int64 out_height, in CalcReferenceResizedVal() argument
117 half_pixel_centers, out_width, in_width, channels, x, width_scale); in CalcReferenceResizedVal()
121 const int64 in_row_size = in_width * channels; in CalcReferenceResizedVal()
145 const int64 in_height, const int64 in_width, in CheckTensorValue() argument
155 CalculateResizeScale(in_width, out_width, align_corners); in CheckTensorValue()
162 in_data, half_pixel_centers, batch_size, in_height, in_width, in CheckTensorValue()
296 void RunTestResizeBilinearTwoDims(int batch_size, int in_height, int in_width, in RunTestResizeBilinearTwoDims() argument
302 const float max = batch_size * in_height * in_width * channels / RATIO; in RunTestResizeBilinearTwoDims()
305 batch_size, in_height, in_width, channels, RATIO, min, max); in RunTestResizeBilinearTwoDims()
313 batch_size, in_height, in_width, out_height, out_width, channels, in RunTestResizeBilinearTwoDims()
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Dresize_area_op_test.cc67 const int64 in_width = input_data.dimension(2); in ResizeAreaBaseline() local
77 const float width_scale = in_width / static_cast<float>(out_width); in ResizeAreaBaseline()
134 BOUND(j, in_width), c)) * in ResizeAreaBaseline()
149 void RunRandomTest(int in_height, int in_width, int target_height, in RunRandomTest() argument
152 SetRandomImageInput(TensorShape({1, in_height, in_width, channels})); in RunRandomTest()
Dresize_nearest_neighbor_op.cc55 OP_REQUIRES(context, st.in_height < (1 << 24) && st.in_width < (1 << 24), in Compute()
140 const Eigen::Index in_width = input.dimension(2); in operator ()() local
164 in_width - 1); in operator ()()
190 in_width - 1); in operator ()()
244 const int64 in_width = input.dim_size(2); in Compute() local
266 CalculateResizeScale(out_width, in_width, align_corners_); in Compute()
322 const Eigen::Index in_width = input.dimension(2); in operator ()() local
336 for (Eigen::Index x = 0; x < in_width; ++x) { in operator ()()
Dresize_bicubic_op_test.cc117 const int64 in_width = images.dimension(2); in ResizeBicubicBaseline() local
127 const float width_scale = in_width / static_cast<float>(out_width); in ResizeBicubicBaseline()
139 GetWeightsAndIndices(width_scale, x, in_width, &x_weights, in ResizeBicubicBaseline()
162 const int64 in_width, const int target_height, in RunRandomTest() argument
164 LOG(INFO) << "Running random test " << in_height << "x" << in_width << "x" in RunRandomTest()
168 TensorShape({batch_size, in_height, in_width, channels})); in RunRandomTest()
Dresize_bilinear_op.cc113 const int64 in_height, const int64 in_width, const int64 out_height,
121 const int64 in_width, const int64 out_height, in resize_image() argument
126 const int64 in_row_size = in_width * channels; in resize_image()
218 const int64 in_width = images.dimension(2); in operator ()() local
225 if (out_height == in_height && out_width == in_width) { in operator ()()
237 compute_interpolation_weights(HalfPixelScaler(), out_width, in_width, in operator ()()
243 compute_interpolation_weights(LegacyScaler(), out_width, in_width, in operator ()()
252 resize_image<T>(images, batch_size, in_height, in_width, out_height, in operator ()()
Dquantized_resize_bilinear_op.cc469 const int64 in_width, const int64 out_height, in ResizeImageReference() argument
478 out_width, in_width, width_scale, channels, 0, half_pixel_centers); in ResizeImageReference()
482 const int64 in_row_size = in_width * channels; in ResizeImageReference()
518 const int64 in_width, const int64 out_height, in ResizeImage() argument
524 ResizeImageReference<T>(images, batch_size, in_height, in_width, out_height, in ResizeImage()
532 const int64 in_width, const int64 out_height, in ResizeImage() argument
545 BuildLerpCache<int32>(out_width, in_width, width_scale, channels, in ResizeImage()
550 const int64 in_row_size = in_width * channels; in ResizeImage()
595 const int64 in_width, const int64 out_height, in ResizeImage() argument
608 BuildLerpCache<int16>(out_width, in_width, width_scale, channels, in ResizeImage()
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Dimage_resizer_state.h108 in_width = static_cast<int32>(input.dim_size(2)); in ValidateAndCalculateOutputSize()
119 width_scale = CalculateResizeScale(in_width, out_width, align_corners_); in ValidateAndCalculateOutputSize()
149 int64 in_width; member
/external/libaom/libaom/av1/encoder/
Dcnn.c23 int in_width; member
150 static void find_layer_output_size(int in_width, int in_height, in find_layer_output_size() argument
157 *out_width = (in_width + layer_config->skip_width - 1) / in find_layer_output_size()
164 (in_width - layer_config->filter_width + layer_config->skip_width) / in find_layer_output_size()
176 *out_width = in_width * layer_config->skip_width; in find_layer_output_size()
180 *out_width = (in_width - 1) * layer_config->skip_width + in find_layer_output_size()
234 void av1_find_cnn_output_size(int in_width, int in_height, in av1_find_cnn_output_size() argument
240 i_width[0] = in_width + cnn_config->ext_width * 2; in av1_find_cnn_output_size()
350 convolve_ops->input, convolve_ops->in_width, convolve_ops->in_height, in convolve_layer()
356 static void convolve_layer_mt(const float **input, int in_width, int in_height, in convolve_layer_mt() argument
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/external/tensorflow/tensorflow/lite/kernels/
Dpadding.h59 int dilation_rate_width, int in_height, int in_width, int filter_height, in ComputePaddingHeightWidth() argument
61 *out_width = ComputeOutSize(padding, in_width, filter_width, stride_width, in ComputePaddingHeightWidth()
73 ComputePaddingWithOffset(stride_width, dilation_rate_width, in_width, in ComputePaddingHeightWidth()
/external/tensorflow/tensorflow/core/api_def/base_api/
Dapi_def_Conv3D.pbtxt6 Shape `[batch, in_depth, in_height, in_width, in_channels]`.
34 [batch, in_depth, in_height, in_width, in_channels].
36 [batch, in_channels, in_depth, in_height, in_width].
Dapi_def_Conv2DBackpropInput.pbtxt27 4-D with shape `[batch, in_height, in_width, in_channels]`. Gradient
59 [batch, in_height, in_width, in_channels].
61 [batch, in_channels, in_height, in_width].
Dapi_def_Conv2DBackpropFilter.pbtxt6 4-D with shape `[batch, in_height, in_width, in_channels]`.
60 [batch, in_height, in_width, in_channels].
62 [batch, in_channels, in_height, in_width].
Dapi_def_Dilation2DBackpropInput.pbtxt6 4-D with shape `[batch, in_height, in_width, depth]`.
24 4-D with shape `[batch, in_height, in_width, depth]`.
Dapi_def_MaxPool.pbtxt39 [batch, in_height, in_width, in_channels].
41 [batch, in_channels, in_height, in_width].
Dapi_def_MaxPoolV2.pbtxt39 [batch, in_height, in_width, in_channels].
41 [batch, in_channels, in_height, in_width].
Dapi_def_AvgPool3D.pbtxt40 [batch, in_depth, in_height, in_width, in_channels].
42 [batch, in_channels, in_depth, in_height, in_width].
Dapi_def_AvgPool.pbtxt38 [batch, in_height, in_width, in_channels].
40 [batch, in_channels, in_height, in_width].
Dapi_def_MaxPool3D.pbtxt40 [batch, in_depth, in_height, in_width, in_channels].
42 [batch, in_channels, in_depth, in_height, in_width].
Dapi_def_MaxPoolGradV2.pbtxt51 [batch, in_height, in_width, in_channels].
53 [batch, in_channels, in_height, in_width].
/external/webrtc/talk/media/base/
Dvideoadapter.cc260 VideoFormat VideoAdapter::AdaptFrameResolution(int in_width, int in_height) { in AdaptFrameResolution() argument
265 in_width, in_height, input_format_.interval, input_format_.fourcc)); in AdaptFrameResolution()
295 << " Input: " << in_width in AdaptFrameResolution()
305 in_width, in_height, output_num_pixels_); in AdaptFrameResolution()
306 const int output_width = static_cast<int>(in_width * scale + .5f); in AdaptFrameResolution()
334 << " Input: " << in_width in AdaptFrameResolution()
/external/webrtc/webrtc/modules/video_render/android/java/src/org/webrtc/videoengine/
DViESurfaceRenderer.java61 int in_width, int in_height) { in surfaceChanged() argument
64 changeDestRect(in_width, in_height); in surfaceChanged()
67 " in_width:" + in_width + " in_height:" + in_height + in surfaceChanged()

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