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/external/libvpx/libvpx/test/
Dbuffer.h34 stride_(0), raw_size_(0), num_elements_(0), raw_buffer_(NULL) {} in Buffer()
41 padding_value_(0), stride_(0), raw_size_(0), num_elements_(0), in Buffer()
47 bottom_padding_(padding), alignment_(0), padding_value_(0), stride_(0), in Buffer()
54 stride_(0), raw_size_(0), num_elements_(0), raw_buffer_(NULL) {} in Buffer()
66 int stride() const { return stride_; } in stride()
113 stride_ = left_padding_ + width_ + right_padding_; in Init()
114 num_elements_ = stride_ * (top_padding_ + height_ + bottom_padding_); in Init()
122 if (stride_ != width_) { in Init()
123 EXPECT_EQ((stride_ * sizeof(T)) % alignment_, 0u); in Init()
145 int stride_; variable
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Ddct_test.cc150 stride_ = rnd_(1024) + 1; in SetUp()
151 if (stride_ < size_) { in SetUp()
152 stride_ = size_; in SetUp()
155 if (stride_ > 16) { in SetUp()
156 stride_ &= ~15; in SetUp()
159 block_size_ = size_ * stride_; in SetUp()
204 inv_txfm_(in.TopLeftPixel(), out, stride_, tx_type_, bit_depth_); in RunInvTxfm()
227 src_[h * stride_ + w] - dst_[h * stride_ + w]; in RunAccuracyCheck()
233 src[h * stride_ + w] - dst[h * stride_ + w]; in RunAccuracyCheck()
245 diff = dst_[h * stride_ + w] - src_[h * stride_ + w]; in RunAccuracyCheck()
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Dpartial_idct_test.cc83 stride_ = rnd_(1024) + 1; in SetUp()
84 if (stride_ < size_) { in SetUp()
85 stride_ = size_; in SetUp()
88 if (stride_ > 16) { in SetUp()
89 stride_ &= ~15; in SetUp()
93 output_block_size_ = size_ * stride_; in SetUp()
152 ref = output_block_ref_[y * stride_ + x]; in PrintDiff()
153 opt = output_block_[y * stride_ + x]; in PrintDiff()
156 output_block_ref_)[y * stride_ + x]; in PrintDiff()
157 opt = reinterpret_cast<uint16_t *>(output_block_)[y * stride_ + x]; in PrintDiff()
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Dvp9_intrapred_test.cc85 stride_ = params_.block_size * 3; in SetUp()
96 *error_count += ref_dst_[x + y * stride_] != dst_[x + y * stride_]; in CheckPrediction()
98 ASSERT_EQ(ref_dst_[x + y * stride_], dst_[x + y * stride_]) in CheckPrediction()
109 ptrdiff_t stride_; member in __anon22853b2b0111::IntraPredTest
117 params_.ref_fn(ref_dst_, stride_, above_row_, left_col_); in Predict()
119 params_.pred_fn(dst_, stride_, above_row_, left_col_)); in Predict()
460 params_.ref_fn(ref_dst_, stride_, above_row_, left_col_, bit_depth); in Predict()
462 params_.pred_fn(dst_, stride_, above_row_, left_col_, bit_depth)); in Predict()
/external/tensorflow/tensorflow/core/kernels/
Davgpooling_op.cc66 OP_REQUIRES_OK(context, context->GetAttr("strides", &stride_)); in AvgPoolingOp()
67 OP_REQUIRES(context, stride_.size() == 4, in AvgPoolingOp()
71 OP_REQUIRES(context, ksize_[0] == 1 && stride_[0] == 1, in AvgPoolingOp()
78 PoolParameters params{context, ksize_, stride_, in Compute()
100 std::vector<int32> stride_; member in tensorflow::AvgPoolingOp
129 OP_REQUIRES_OK(context, context->GetAttr("strides", &stride_)); in AvgPoolingOp()
130 OP_REQUIRES(context, stride_.size() == 4, in AvgPoolingOp()
135 const int32 stride_n = GetTensorDim(stride_, data_format_, 'N'); in AvgPoolingOp()
143 PoolParameters params{context, ksize_, stride_, in Compute()
160 stride_, padding_, data_format_, tensor_in, in Compute()
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Dmaxpooling_op.cc230 OP_REQUIRES_OK(context, context->GetAttr("strides", &stride_)); in MaxPoolingGradOp()
231 OP_REQUIRES(context, stride_.size() == 4, in MaxPoolingGradOp()
234 OP_REQUIRES(context, ksize_[0] == 1 && stride_[0] == 1, in MaxPoolingGradOp()
238 context, ksize_[3] == 1 && stride_[3] == 1, in MaxPoolingGradOp()
271 std::vector<int32> stride = stride_; in Compute()
315 std::vector<int32> stride_; member in tensorflow::MaxPoolingGradOp
361 OP_REQUIRES_OK(context, context->GetAttr("strides", &stride_)); in MaxPoolingGradOp()
362 OP_REQUIRES(context, stride_.size() == 4, in MaxPoolingGradOp()
366 const int32 stride_n = GetTensorDim(stride_, data_format_, 'N'); in MaxPoolingGradOp()
395 std::vector<int32> stride = stride_; in Compute()
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Dpooling_ops_3d.cc149 OP_REQUIRES_OK(context, context->GetAttr("strides", &stride_)); in Pooling3DOp()
150 OP_REQUIRES(context, stride_.size() == 5, in Pooling3DOp()
156 GetTensorDim(stride_, data_format_, 'N') == 1), in Pooling3DOp()
161 GetTensorDim(stride_, data_format_, 'C') == 1), in Pooling3DOp()
182 std::array<int64, 3> stride{{GetTensorDim(stride_, data_format_, '2'), in Compute()
183 GetTensorDim(stride_, data_format_, '1'), in Compute()
184 GetTensorDim(stride_, data_format_, '0')}}; in Compute()
201 std::vector<int32> stride_; member in tensorflow::Pooling3DOp
322 OP_REQUIRES_OK(context, context->GetAttr("strides", &stride_)); in MaxPooling3dGradOp()
323 OP_REQUIRES(context, stride_.size() == 5, in MaxPooling3dGradOp()
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Dspectrogram_op.cc34 OP_REQUIRES_OK(context, context->GetAttr("stride", &stride_)); in AudioSpectrogramOp()
45 OP_REQUIRES(context, spectrogram.Initialize(window_size_, stride_), in Compute()
48 window_size_, " and stride ", stride_)); in Compute()
61 output_height = 1 + (length_minus_window / stride_); in Compute()
115 int32 stride_; member in tensorflow::AudioSpectrogramOp
Dconv_grad_ops_3d.cc203 OP_REQUIRES_OK(context, context->GetAttr("strides", &stride_)); in Conv3DBackpropInputOp()
204 OP_REQUIRES(context, stride_.size() == 5, in Conv3DBackpropInputOp()
209 (GetTensorDim(stride_, data_format_, 'C') == 1 && in Conv3DBackpropInputOp()
210 GetTensorDim(stride_, data_format_, 'N') == 1), in Conv3DBackpropInputOp()
236 stride_, padding_, data_format_, &dims)); in Compute()
254 std::vector<int32> stride_; member in tensorflow::Conv3DBackpropInputOp
309 OP_REQUIRES_OK(context, context->GetAttr("strides", &stride_)); in Conv3DCustomBackpropInputOp()
310 OP_REQUIRES(context, stride_.size() == 5, in Conv3DCustomBackpropInputOp()
315 (GetTensorDim(stride_, data_format_, 'C') == 1 && in Conv3DCustomBackpropInputOp()
316 GetTensorDim(stride_, data_format_, 'N') == 1), in Conv3DCustomBackpropInputOp()
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Dquantized_pooling_ops.cc45 OP_REQUIRES_OK(context, context->GetAttr("strides", &stride_)); in QuantizedAvgPoolingOp()
46 OP_REQUIRES(context, stride_.size() == 4, in QuantizedAvgPoolingOp()
50 OP_REQUIRES(context, ksize_[0] == 1 && stride_[0] == 1, in QuantizedAvgPoolingOp()
57 PoolParameters params{context, ksize_, stride_, in Compute()
104 std::vector<int32> stride_; member in tensorflow::QuantizedAvgPoolingOp
Ddepthwise_conv_op.cc277 stride_ = GetTensorDim(strides_, data_format_, 'H'); in DepthwiseConv2dNativeOp()
282 OP_REQUIRES(context, stride_ == stride_w, in DepthwiseConv2dNativeOp()
350 GetWindowedOutputSize(input_rows, filter_rows, stride_, in Compute()
353 GetWindowedOutputSize(input_cols, filter_cols, stride_, in Compute()
382 << ", " << out_depth << "], stride = " << stride_ in Compute()
407 stride_, stride_, padding_, /*explicit_paddings=*/{}, output, in Compute()
420 args.stride = stride_; in Compute()
442 int64 stride_; // in height/width dimension. member in tensorflow::DepthwiseConv2dNativeOp
Dconv_ops_3d.cc81 OP_REQUIRES_OK(context, context->GetAttr("strides", &stride_)); in Conv3DOp()
82 OP_REQUIRES(context, stride_.size() == 5, in Conv3DOp()
87 (GetTensorDim(stride_, data_format_, 'N') == 1 && in Conv3DOp()
88 GetTensorDim(stride_, data_format_, 'C') == 1), in Conv3DOp()
93 (GetTensorDim(stride_, data_format_, '0') > 0 && in Conv3DOp()
94 GetTensorDim(stride_, data_format_, '1') > 0 && in Conv3DOp()
95 GetTensorDim(stride_, data_format_, '2') > 0), in Conv3DOp()
152 std::array<int64, 3> strides = {{GetTensorDim(stride_, data_format_, '0'), in Compute()
153 GetTensorDim(stride_, data_format_, '1'), in Compute()
154 GetTensorDim(stride_, data_format_, '2')}}; in Compute()
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Dmkl_avgpooling_op.cc58 OP_REQUIRES_OK(context, context->GetAttr("strides", &stride_)); in MklAvgPoolingOp()
59 OP_REQUIRES(context, stride_.size() == 4, in MklAvgPoolingOp()
63 OP_REQUIRES(context, ksize_[0] == 1 && stride_[0] == 1, in MklAvgPoolingOp()
81 pool_params.Init(context, ksize_, stride_, padding_, data_format_, in Compute()
84 pool_params.Init(context, ksize_, stride_, padding_, data_format_, in Compute()
212 std::vector<int32> stride_; member in tensorflow::MklAvgPoolingOp
233 OP_REQUIRES_OK(context, context->GetAttr("strides", &stride_)); in MklAvgPoolingGradOp()
234 OP_REQUIRES(context, stride_.size() == 4, in MklAvgPoolingGradOp()
238 OP_REQUIRES(context, ksize_[0] == 1 && stride_[0] == 1, in MklAvgPoolingGradOp()
258 pool_params.Init(context, ksize_, stride_, padding_, data_format_, in Compute()
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Dpooling_ops_common.h99 OP_REQUIRES_OK(context, context->GetAttr("strides", &stride_)); in MaxPoolingOp()
100 OP_REQUIRES(context, stride_.size() == 4, in MaxPoolingOp()
104 OP_REQUIRES(context, ksize_[0] == 1 && stride_[0] == 1, in MaxPoolingOp()
111 PoolParameters params{context, ksize_, stride_, in Compute()
259 std::vector<int32> stride_; variable
311 OP_REQUIRES_OK(context, context->GetAttr("strides", &stride_));
312 OP_REQUIRES(context, stride_.size() == 4,
315 OP_REQUIRES(context, ksize_[0] == 1 && stride_[0] == 1,
326 std::vector<int32> stride = stride_;
506 std::vector<int32> stride_;
Dmkl_maxpooling_op.cc59 OP_REQUIRES_OK(context, context->GetAttr("strides", &stride_)); in MklMaxPoolingOp()
60 OP_REQUIRES(context, stride_.size() == 4, in MklMaxPoolingOp()
64 OP_REQUIRES(context, ksize_[0] == 1 && stride_[0] == 1, in MklMaxPoolingOp()
86 pool_params.Init(context, ksize_, stride_, padding_, data_format_, in Compute()
93 pool_params.Init(context, ksize_, stride_, padding_, data_format_, in Compute()
192 std::vector<int32> stride_; member in tensorflow::MklMaxPoolingOp
218 OP_REQUIRES_OK(context, context->GetAttr("strides", &stride_)); in MklMaxPoolingGradOp()
219 OP_REQUIRES(context, stride_.size() == 4, in MklMaxPoolingGradOp()
223 OP_REQUIRES(context, ksize_[0] == 1 && stride_[0] == 1, in MklMaxPoolingGradOp()
253 pool_params.Init(context, ksize_, stride_, padding_, data_format_, in Compute()
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Dconv_ops_gpu.h99 stride_(CheckSpatialArraySize(stride)), in ConvParameters()
133 "(", str_util::Join(stride_, ", "), "), ", in ToString()
164 filter_, dilation_, stride_, padding_, dtype_, in get_data_as_tuple()
198 SpatialArray stride_; variable
Ddepthwise_conv_grad_op.cc114 const auto stride = stride_; \
551 stride_ = GetTensorDim(strides_, data_format_, 'H'); in DepthwiseConv2dNativeBackpropInputOp()
556 OP_REQUIRES(context, stride_ == stride_w, in DepthwiseConv2dNativeBackpropInputOp()
611 << ", " << out_depth << "], stride = " << stride_ in Compute()
636 stride_, stride_, padding_, /*explicit_paddings=*/{}, in Compute()
656 int64 stride_; member in tensorflow::DepthwiseConv2dNativeBackpropInputOp
1025 stride_ = GetTensorDim(strides_, data_format_, 'H'); in DepthwiseConv2dNativeBackpropFilterOp()
1030 OP_REQUIRES(context, stride_ == stride_w, in DepthwiseConv2dNativeBackpropFilterOp()
1093 << ", " << out_depth << "], stride = " << stride_ in Compute()
1118 /*row_dilation=*/1, /*col_dilation=*/1, stride_, stride_, in Compute()
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/external/gemmlowp/public/
Dmap.h39 int rows_, cols_, stride_; variable
42 MatrixMap() : data_(nullptr), rows_(0), cols_(0), stride_(0) {} in MatrixMap()
47 stride_(kOrder == MapOrder::ColMajor ? rows : cols) {} in MatrixMap()
49 : data_(data), rows_(rows), cols_(cols), stride_(stride) {} in MatrixMap()
54 stride_(other.stride_) {} in MatrixMap()
58 int stride() const { return stride_; } in stride()
59 int rows_stride() const { return kOrder == MapOrder::ColMajor ? 1 : stride_; } in rows_stride()
60 int cols_stride() const { return kOrder == MapOrder::RowMajor ? 1 : stride_; } in cols_stride()
75 stride_); in block()
/external/libaom/libaom/test/
Dintrapred_test.cc104 stride_ = params_.block_width * 3; in SetUp()
116 *error_count += ref_dst_[x + y * stride_] != dst_[x + y * stride_]; in CheckPrediction()
118 ASSERT_EQ(ref_dst_[x + y * stride_], dst_[x + y * stride_]) in CheckPrediction()
130 ptrdiff_t stride_; member in __anon38ff106b0211::AV1IntraPredTest
140 params_.ref_fn(ref_dst_, stride_, above_row_, left_col_, bit_depth); in Predict()
142 params_.pred_fn(dst_, stride_, above_row_, left_col_, bit_depth)); in Predict()
149 params_.ref_fn(ref_dst_, stride_, above_row_, left_col_); in Predict()
151 params_.pred_fn(dst_, stride_, above_row_, left_col_)); in Predict()
/external/tensorflow/tensorflow/compiler/tf2xla/kernels/
Dpooling_ops.cc61 stride_.push_back(stride_int[i]); in PoolingOp()
101 return stride_; in GetStride()
126 std::vector<int64> stride_; member in tensorflow::__anon05e5a9280111::PoolingOp
272 OP_REQUIRES_OK(ctx, ctx->GetAttr("strides", &stride_)); in MaxPoolGradOp()
296 OP_REQUIRES_OK(ctx, ctx->ConstantInputAsIntVector(4, &stride_)); in Compile()
303 OP_REQUIRES(ctx, stride_.size() == num_dims(), in Compile()
338 xla::SelectAndScatter(input, select, ksize_, stride_, xla_padding, in Compile()
347 std::vector<int64> stride_; member in tensorflow::__anon05e5a9280111::MaxPoolGradOp
385 OP_REQUIRES_OK(ctx, ctx->GetAttr("strides", &stride_)); in AvgPoolGradOp()
386 OP_REQUIRES(ctx, stride_.size() == num_dims(), in AvgPoolGradOp()
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/external/tensorflow/tensorflow/examples/android/jni/object_tracking/
Dimage.h172 return RowData<T>(image_data_ + row * stride_, width_less_one_);
178 return RowData<T>(image_data_ + row * stride_, width_less_one_);
182 return image_data_ + row * stride_;
186 return image_data_ + row * stride_;
192 inline int stride() const { return stride_; } in stride()
323 const int stride_; variable
/external/gemmlowp/internal/
Dpack.h145 : data_(data), width_(width), depth_(depth), stride_(stride) {} in SideMap()
149 stride_ = kOrder == SideMapOrder::WidthMajor ? depth_ : width_; in SideMap()
156 stride_(other.stride_) {} in SideMap()
160 int stride() const { return stride_; } in stride()
162 return kOrder == SideMapOrder::DepthMajor ? 1 : stride_; in width_stride()
165 return kOrder == SideMapOrder::WidthMajor ? 1 : stride_; in depth_stride()
182 stride_); in block()
187 int width_, depth_, stride_; variable
/external/webrtc/webrtc/modules/desktop_capture/
Ddiffer_unittest.cc37 stride_ = (kBytesPerPixel * width); in InitDiffer()
40 differ_.reset(new Differ(width_, height_, bytes_per_pixel_, stride_)); in InitDiffer()
76 int block_offset = ((block_y * stride_) + (block_x * bytes_per_pixel_)) in DiffBlock()
80 stride_); in DiffBlock()
101 buffer += (y * stride_) + (x * bytes_per_pixel_); in WritePixel()
197 int stride_; member in webrtc::DifferTest
/external/webp/src/utils/
Dquant_levels_dec_utils.c47 int stride_; // stride in bytes member
104 p->src_ += p->stride_; in VFilter()
154 p->dst_ += p->stride_; // advance output pointer in ApplyFilter()
196 data += p->stride_; in CountLevels()
241 p->stride_ = stride; in InitParams()
/external/gemmlowp/test/
Dtest.h56 using Map::stride_;
80 stride_ = kOrder == MapOrder::ColMajor ? rows : cols; in Resize()
89 ConstMap const_map() const { return ConstMap(data_, rows_, cols_, stride_); } in const_map()

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