| /external/tensorflow/tensorflow/core/kernels/image/ |
| D | resize_nearest_neighbor_op_gpu.cu.cc | 36 const int nthreads, const T* __restrict__ bottom_data, const int in_height, in ResizeNearestNeighborNHWC() argument
49 const T* bottom_data_n = bottom_data + n * channels * in_height * in_width; in ResizeNearestNeighborNHWC()
53 in_height - 1), in ResizeNearestNeighborNHWC()
67 const int nthreads, const T* __restrict__ bottom_data, const int in_height, in LegacyResizeNearestNeighborNHWC() argument
80 const T* bottom_data_n = bottom_data + n * channels * in_height * in_width; in LegacyResizeNearestNeighborNHWC()
84 in_height - 1); in LegacyResizeNearestNeighborNHWC()
96 const int nthreads, const T* __restrict__ top_diff, const int in_height, in ResizeNearestNeighborBackwardNHWC() argument
106 int in_y = n % in_height; in ResizeNearestNeighborBackwardNHWC()
107 n /= in_height; in ResizeNearestNeighborBackwardNHWC()
127 const int nthreads, const T* __restrict__ top_diff, const int in_height, in LegacyResizeNearestNeighborBackwardNHWC() argument
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| D | resize_bilinear_op_gpu.cu.cc | 38 float height_scale, float width_scale, int batch, int in_height, in ResizeBilinearKernel_faster() argument
56 (in_y < in_height - 1) ? ceilf(in_y) : in_height - 1; in ResizeBilinearKernel_faster()
75 ((float4*)images)[(((b * in_height + top_y_index) * in_width + in ResizeBilinearKernel_faster()
81 ((float4*)images)[(((b * in_height + top_y_index) * in_width + in ResizeBilinearKernel_faster()
87 ((float4*)images)[(((b * in_height + bottom_y_index) * in_width + in ResizeBilinearKernel_faster()
93 ((float4*)images)[(((b * in_height + bottom_y_index) * in_width + in ResizeBilinearKernel_faster()
119 float width_scale, int batch, int in_height, int in_width, int channels, in ResizeBilinearKernel() argument
135 (in_y < in_height - 1) ? ceilf(in_y) : in_height - 1; in ResizeBilinearKernel()
145 images[((b * in_height + top_y_index) * in_width + left_x_index) * in ResizeBilinearKernel()
149 images[((b * in_height + top_y_index) * in_width + right_x_index) * in ResizeBilinearKernel()
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| D | resize_area_op_test.cc | 66 const int64 in_height = input_data.dimension(1); in ResizeAreaBaseline() local
76 const float height_scale = in_height / static_cast<float>(out_height); in ResizeAreaBaseline()
133 static_cast<float>(input_data(b, BOUND(i, in_height), 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()
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| D | resize_bicubic_op_test.cc | 116 const int64 in_height = images.dimension(1); in ResizeBicubicBaseline() local
126 const float height_scale = in_height / static_cast<float>(out_height); in ResizeBicubicBaseline()
134 GetWeightsAndIndices(height_scale, y, in_height, &y_weights, in ResizeBicubicBaseline()
161 void RunRandomTest(const int batch_size, const int64 in_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()
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| D | resize_nearest_neighbor_op.cc | 55 OP_REQUIRES(context, st.in_height < (1 << 24) && st.in_width < (1 << 24), in Compute()
231 const int64 in_height = input.dim_size(1); in Compute() local
252 CalculateResizeScale(out_height, in_height, align_corners_); in Compute()
309 const Eigen::Index in_height = input.dimension(1); in operator ()() local
318 for (Eigen::Index y = 0; y < in_height; ++y) { in operator ()()
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| /external/libaom/libaom/av1/encoder/ |
| D | cnn.c | 24 int in_height; member
150 static void find_layer_output_size(int in_width, int in_height, in find_layer_output_size() argument
159 *out_height = (in_height + layer_config->skip_height - 1) / in find_layer_output_size()
166 *out_height = (in_height - layer_config->filter_height + in find_layer_output_size()
177 *out_height = in_height * layer_config->skip_height; in find_layer_output_size()
182 *out_height = (in_height - 1) * layer_config->skip_height + 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
241 i_height[0] = in_height + cnn_config->ext_height * 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/ |
| D | padding.h | 60 int dilation_rate_width, int in_height, int in_width, int filter_height, in ComputePaddingHeightWidth() argument
64 *out_height = ComputeOutSize(padding, in_height, filter_height, stride_height, in ComputePaddingHeightWidth()
70 ComputePaddingWithOffset(stride_height, dilation_rate_height, in_height, in ComputePaddingHeightWidth()
83 int in_height, int in_width, int in_depth, int filter_height, in ComputePadding3DValues() argument
88 *out_height = ComputeOutSize(padding, in_height, filter_height, stride_height, in ComputePadding3DValues()
100 ComputePaddingWithOffset(stride_height, dilation_rate_height, in_height, in ComputePadding3DValues()
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| /external/tensorflow/tensorflow/core/kernels/ |
| D | depthwise_conv_op_gpu.h | 91 const int in_height = args.in_rows;
126 const int input_offset_temp = in_height * batch;
128 input_row_end < in_height && input_col_end < in_width) {
156 if (in_row >= 0 && in_row < in_height && in_col >= 0 &&
202 const int in_height = args.in_rows;
220 const int in_size = in_height * in_row_size;
224 const int even_height = kKnownEvenHeight || (1 & ~in_height);
225 const int tile_height = in_height + filter_height - even_height;
267 !kKnownEvenHeight && thread_row + (in_height & 1) == block_height;
338 const int in_height = args.in_rows;
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| D | quantized_resize_bilinear_op_test.cc | 110 const int batch_size, const int64 in_height, in CalcReferenceResizedVal() argument
119 half_pixel_centers, out_height, in_height, 1, y, height_scale); in CalcReferenceResizedVal()
122 const int64 in_batch_num_values = in_height * in_row_size; in CalcReferenceResizedVal()
145 const int64 in_height, const int64 in_width, in CheckTensorValue() argument
153 CalculateResizeScale(in_height, out_height, 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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| D | quantized_resize_bilinear_op.cc | 468 const int batch_size, const int64 in_height, in ResizeImageReference() argument
480 out_height, in_height, height_scale, 1, 0, half_pixel_centers); in ResizeImageReference()
483 const int64 in_batch_num_values = in_height * in_row_size; in ResizeImageReference()
517 const int batch_size, const int64 in_height, in ResizeImage() argument
524 ResizeImageReference<T>(images, batch_size, in_height, in_width, out_height, in ResizeImage()
531 const int batch_size, const int64 in_height, in ResizeImage() argument
548 out_height, in_height, height_scale, 1, RESOLUTION, half_pixel_centers); in ResizeImage()
551 const int64 in_batch_num_values = in_height * in_row_size; in ResizeImage()
594 const int batch_size, const int64 in_height, in ResizeImage() argument
611 out_height, in_height, height_scale, 1, RESOLUTION, half_pixel_centers); in ResizeImage()
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| /external/webrtc/media/base/ |
| D | video_adapter.cc | 187 int in_height, in AdaptFrameResolution() argument
203 if (in_width > in_height) { in AdaptFrameResolution()
225 << " Input: " << in_width << "x" << in_height in AdaptFrameResolution()
240 *cropped_height = in_height; in AdaptFrameResolution()
246 std::min(in_width, static_cast<int>(in_height * requested_aspect)); in AdaptFrameResolution()
248 std::min(in_height, static_cast<int>(in_width / requested_aspect)); in AdaptFrameResolution()
258 *cropped_height, scale.denominator * resolution_alignment_, in_height); in AdaptFrameResolution()
278 << " Input: " << in_width << "x" << in_height in AdaptFrameResolution()
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| /external/tensorflow/tensorflow/lite/micro/kernels/arc_mli/ |
| D | scratch_buf_mgr.cc | 241 const int in_height = in->shape[height_dimension]; in arc_scratch_buffer_calc_slice_size_io() local
250 bool fit = (static_cast<int>(in->capacity) >= in_height * line_size_in) && in arc_scratch_buffer_calc_slice_size_io()
258 *in_slice_height = std::max(in_height, out_height * stride_height); in arc_scratch_buffer_calc_slice_size_io()
264 std::min(in_height, static_cast<int>(in->capacity) / line_size_in); in arc_scratch_buffer_calc_slice_size_io()
265 if (max_lines_in >= in_height) { in arc_scratch_buffer_calc_slice_size_io()
267 } else if (2 * max_lines_in >= in_height) { in arc_scratch_buffer_calc_slice_size_io()
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| /external/tensorflow/tensorflow/core/api_def/base_api/ |
| D | api_def_Conv3D.pbtxt | 6 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].
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| D | api_def_Conv2DBackpropInput.pbtxt | 27 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].
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| D | api_def_Conv2DBackpropFilter.pbtxt | 6 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].
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| D | api_def_Dilation2DBackpropInput.pbtxt | 6 4-D with shape `[batch, in_height, in_width, depth]`.
24 4-D with shape `[batch, in_height, in_width, depth]`.
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| D | api_def_MaxPoolV2.pbtxt | 39 [batch, in_height, in_width, in_channels].
41 [batch, in_channels, in_height, in_width].
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| D | api_def_MaxPool.pbtxt | 39 [batch, in_height, in_width, in_channels].
41 [batch, in_channels, in_height, in_width].
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| D | api_def_AvgPool.pbtxt | 38 [batch, in_height, in_width, in_channels].
40 [batch, in_channels, in_height, in_width].
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| D | api_def_MaxPool3D.pbtxt | 40 [batch, in_depth, in_height, in_width, in_channels].
42 [batch, in_channels, in_depth, in_height, in_width].
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| D | api_def_MaxPoolGradV2.pbtxt | 51 [batch, in_height, in_width, in_channels].
53 [batch, in_channels, in_height, in_width].
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| D | api_def_MaxPool3DGrad.pbtxt | 46 [batch, in_depth, in_height, in_width, in_channels].
48 [batch, in_channels, in_depth, in_height, in_width].
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| D | api_def_MaxPoolGradGrad.pbtxt | 51 [batch, in_height, in_width, in_channels].
53 [batch, in_channels, in_height, in_width].
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| D | api_def_MaxPoolGrad.pbtxt | 52 [batch, in_height, in_width, in_channels].
54 [batch, in_channels, in_height, in_width].
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| D | api_def_MaxPoolGradGradV2.pbtxt | 51 [batch, in_height, in_width, in_channels].
53 [batch, in_channels, in_height, in_width].
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