Searched refs:in_height (Results 1 - 25 of 28) sorted by relevance

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/external/tensorflow/tensorflow/core/kernels/
H A Dresize_nearest_neighbor_op_gpu.cu.cc37 const int nthreads, const T* bottom_data, const int in_height,
50 const T* bottom_data_n = bottom_data + n * channels * in_height * in_width;
54 in_height - 1);
66 const int nthreads, const T* top_diff, const int in_height,
76 int in_y = n % in_height;
77 n /= in_height;
104 const int64 in_height = input.dimension(1); local
117 output_size, input.data(), in_height, in_width, channels,
138 const int64 in_height = input.dimension(1); local
152 const int input_size = batch_size * channels * in_height * in_widt
36 ResizeNearestNeighborNHWC( const int nthreads, const T* bottom_data, const int in_height, const int in_width, const int channels, const int out_height, const int out_width, const float height_scale, const float width_scale, T* top_data) argument
65 ResizeNearestNeighborBackwardNHWC( const int nthreads, const T* top_diff, const int in_height, const int in_width, const int channels, const int out_height, const int out_width, const float height_scale, const float width_scale, T* bottom_diff) argument
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H A Dresize_bilinear_op_gpu.cu.cc38 int batch, int in_height, int in_width,
54 (in_y < in_height - 1) ? ceilf(in_y) : in_height - 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) *
156 const int in_height = images.dimension(1); local
170 width_scale, batch, in_height, in_width, channels, out_height,
36 ResizeBilinearKernel(const int32 nthreads, const T* images, float height_scale, float width_scale, int batch, int in_height, int in_width, int channels, int out_height, int out_width, float* output) argument
H A Dresize_nearest_neighbor_op.cc52 OP_REQUIRES(context, st.in_height < (1 << 24) && st.in_width < (1 << 24),
92 const int64 in_height = input.dimension(1); local
104 in_height - 1);
148 const int64 in_height = input.dim_size(1); variable
169 CalculateResizeScale(out_height, in_height, align_corners_);
203 const int64 in_height = input.dimension(1); local
212 for (int y = 0; y < in_height; ++y) {
H A Dquantized_resize_bilinear_op_test.cc109 const int64 in_height, const int64 in_width,
118 GetReferenceWeight(out_height, in_height, 1, y, height_scale);
121 const int64 in_batch_num_values = in_height * in_row_size;
144 const int64 in_height, const int64 in_width,
151 CalculateResizeScale(in_height, out_height, align_corners);
160 in_data, batch_size, in_height, in_width, out_height, out_width,
280 /*in_height=*/IN_WIDTH,
289 void RunTestResizeBilinearTwoDims(int batch_size, int in_height, int in_width, argument
294 const float max = batch_size * in_height * in_width * channels / RATIO;
297 batch_size, in_height, in_widt
108 CalcReferenceResizedVal(const T* image_data, const int batch_size, const int64 in_height, const int64 in_width, const int64 out_height, const int64 out_width, const int channels, const float height_scale, const float width_scale, const float min, const float max, const int b, const int64 x, const int64 y, const int c) argument
143 CheckTensorValue(const T* in_data, const T* out_data, const int batch_size, const int64 in_height, const int64 in_width, const int64 out_height, const int64 out_width, const int channels, const bool align_corners, const float min, const float max, const float tolerance, const bool relative) argument
309 RunBenchmarkResizeBilinearTwoDims(int batch_size, int in_height, int in_width, int out_height, int out_width, int channels, int iteration) argument
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H A Dresize_area_op_test.cc63 const int64 in_height = input_data.dimension(1); local
73 const float height_scale = in_height / static_cast<float>(out_height);
129 static_cast<float>(input_data(b, BOUND(i, in_height),
145 void RunRandomTest(int in_height, int in_width, int target_height, argument
148 SetRandomImageInput(TensorShape({1, in_height, in_width, channels}));
H A Ddepthwise_conv_op_gpu.cu.cc75 const int in_height = args.in_rows; local
110 const int input_offset_temp = in_height * batch;
112 input_row_end < in_height && input_col_end < in_width) {
139 if (in_row >= 0 && in_row < in_height && in_col >= 0 &&
179 const int in_height = args.in_rows;
197 const int in_size = in_height * in_row_size;
201 const int even_height = kKnownEvenHeight || (1 & ~in_height);
202 const int tile_height = in_height + filter_height - even_height;
244 !kKnownEvenHeight && thread_row + (in_height & 1) == block_height;
311 const int in_height
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H A Dimage_resizer_state.h80 in_height = static_cast<int32>(input.dim_size(1));
91 height_scale = CalculateResizeScale(in_height, out_height, align_corners_);
121 int64 in_height; member in struct:tensorflow::ImageResizerState
H A Dresize_bicubic_op_test.cc113 const int64 in_height = images.dimension(1); local
123 const float height_scale = in_height / static_cast<float>(out_height);
131 GetWeightsAndIndices(height_scale, y, in_height, &y_weights,
158 void RunRandomTest(const int batch_size, const int64 in_height, argument
161 LOG(INFO) << "Running random test " << in_height << "x" << in_width << "x"
165 TensorShape({batch_size, in_height, in_width, channels}));
H A Dresize_bilinear_op.cc105 const int64 in_height, const int64 in_width, const int64 out_height,
112 const int batch_size, const int64 in_height,
119 const int64 in_batch_num_values = in_height * in_row_size;
208 const int64 in_height = images.dimension(1); local
216 if (out_height == in_height && out_width == in_width) {
225 compute_interpolation_weights(out_height, in_height, height_scale,
235 resize_image<T>(images, batch_size, in_height, in_width, out_height,
111 resize_image(typename TTypes<T, 4>::ConstTensor images, const int batch_size, const int64 in_height, const int64 in_width, const int64 out_height, const int64 out_width, const int channels, const std::vector<CachedInterpolation>& xs_vec, const std::vector<CachedInterpolation>& ys, typename TTypes<float, 4>::Tensor output) argument
H A Dquantized_resize_bilinear_op.cc462 const int batch_size, const int64 in_height,
473 BuildLerpCache<float>(out_height, in_height, height_scale, 1, 0);
476 const int64 in_batch_num_values = in_height * in_row_size;
510 const int batch_size, const int64 in_height,
516 ResizeImageReference<T>(images, batch_size, in_height, in_width, out_height,
523 const int batch_size, const int64 in_height,
538 BuildLerpCache<int32>(out_height, in_height, height_scale, 1, RESOLUTION);
541 const int64 in_batch_num_values = in_height * in_row_size;
584 const int batch_size, const int64 in_height,
599 BuildLerpCache<int16>(out_height, in_height, height_scal
461 ResizeImageReference(typename TTypes<T, 4>::ConstTensor images, const int batch_size, const int64 in_height, const int64 in_width, const int64 out_height, const int64 out_width, const int channels, const float height_scale, const float width_scale, const float in_min, const float in_max, typename TTypes<T, 4>::Tensor* output) argument
509 ResizeImage(typename TTypes<T, 4>::ConstTensor images, const int batch_size, const int64 in_height, const int64 in_width, const int64 out_height, const int64 out_width, const int channels, const float height_scale, const float width_scale, const float in_min, const float in_max, typename TTypes<T, 4>::Tensor* output) argument
522 ResizeImage(typename TTypes<qint32, 4>::ConstTensor images, const int batch_size, const int64 in_height, const int64 in_width, const int64 out_height, const int64 out_width, const int channels, const float height_scale, const float width_scale, const float in_min, const float in_max, typename TTypes<qint32, 4>::Tensor* output) argument
583 ResizeImage(typename TTypes<quint8, 4>::ConstTensor images, const int batch_size, const int64 in_height, const int64 in_width, const int64 out_height, const int64 out_width, const int channels, const float height_scale, const float width_scale, const float in_min, const float in_max, typename TTypes<quint8, 4>::Tensor* output) argument
653 const int64 in_height = images.dimension(1); local
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H A Dops_util_test.cc33 int in_height; member in struct:tensorflow::__anon26535::OpsUtilTest::padding_struct::__anon26536
73 pad_struct.input.in_height, pad_struct.input.filter_height,
88 pad_struct.input.in_height, pad_struct.input.filter_height,
107 pad_struct.input.in_height, pad_struct.input.filter_height,
H A Dresize_bilinear_op_test.cc68 const int64 in_height = images.dimension(1); local
78 const float height_scale = in_height / static_cast<float>(out_height);
86 std::min(static_cast<int64>(ceilf(in_y)), in_height - 1);
H A Dresize_area_op.cc239 input_ptr + (b * st.in_height * st.in_width * st.channels +
240 Bound(i, st.in_height) * st.in_width * st.channels));
H A Dresize_bicubic_op.cc234 const int64 in_batch_width = resizer_state.in_height * in_row_width;
246 resizer_state.in_height, &y_wai);
H A Dconv_ops_fused.cc196 std::min(static_cast<int64>(std::ceil(in_y)), (st.in_height - 1));
661 st.in_height = input.dim_size(1);
/external/webrtc/webrtc/modules/video_render/android/java/src/org/webrtc/videoengine/
H A DViESurfaceRenderer.java61 int in_width, int in_height) {
64 changeDestRect(in_width, in_height);
67 " in_width:" + in_width + " in_height:" + in_height +
60 surfaceChanged(SurfaceHolder holder, int format, int in_width, int in_height) argument
/external/webrtc/talk/media/base/
H A Dvideoadapter.cc260 VideoFormat VideoAdapter::AdaptFrameResolution(int in_width, int in_height) { argument
265 in_width, in_height, input_format_.interval, input_format_.fourcc));
296 << "x" << in_height
305 in_width, in_height, output_num_pixels_);
307 const int output_height = static_cast<int>(in_height * scale + .5f);
335 << "x" << in_height
H A Dvideocommon.cc211 void ComputeScaleToSquarePixels(int in_width, int in_height, argument
215 *scaled_height = in_height * pixel_height / pixel_width;
H A Dvideoadapter.h63 VideoFormat AdaptFrameResolution(int in_width, int in_height);
H A Dvideocommon.h176 void ComputeScaleToSquarePixels(int in_width, int in_height,
H A Dvideoadapter_unittest.cc98 const int in_height = abs(captured_frame->height); local
100 video_adapter_->AdaptFrameResolution(in_width, in_height);
104 in_height == adapted_format.height);
/external/tensorflow/tensorflow/python/kernel_tests/
H A Ddepthtospace_op_test.py230 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]
H A Dspacetodepth_op_test.py229 in_height = out_height * 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]
/external/webrtc/webrtc/video/
H A Dsend_statistics_proxy.cc98 int in_height = input_height_counter_.Avg(kMinRequiredSamples); local
104 in_height);
/external/tensorflow/tensorflow/python/ops/
H A Dnn_ops.py1142 format. Its shape is `[batch, in_height, in_width, in_channels]`.
1276 format. Its shape is `[batch, in_height, in_width, in_channels]`.
1373 in_height = output_shape[1] + pad_top + pad_bottom
1377 pad_bottom_extra = (rate - in_height % rate) % rate
1388 rate * rate * output_shape[0], (in_height + pad_bottom_extra) // rate,
2566 The `value` tensor has shape `[batch, in_height, in_width, depth]` and the
2587 value: A `Tensor`. 4-D with shape `[batch, in_height, in_width, depth]`.

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