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Searched refs:input_height (Results 1 – 25 of 66) sorted by relevance

123

/external/tensorflow/tensorflow/lite/kernels/internal/
Dresize_bilinear_test.cc29 int input_height, int output_width, in TestOneResizeBilinear() argument
31 RuntimeShape input_dims_inference({batch, input_height, input_width, depth}); in TestOneResizeBilinear()
85 const int input_height = ExponentialRandomPositiveInt(0.9f, 20, 200); in TEST() local
89 TestOneResizeBilinear<uint8>(batch, depth, input_width, input_height, in TEST()
101 const int input_height = ExponentialRandomPositiveInt(0.9f, 20, 200); in TEST() local
103 const int output_height = input_height * 2; in TEST()
105 TestOneResizeBilinear<uint8>(batch, depth, input_width, input_height, in TEST()
117 const int input_height = ExponentialRandomPositiveInt(0.9f, 20, 200); in TEST() local
121 TestOneResizeBilinear<float>(batch, depth, input_width, input_height, in TEST()
133 const int input_height = ExponentialRandomPositiveInt(0.9f, 20, 200); in TEST() local
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Dresize_nearest_neighbor_test.cc153 int input_height, int output_width, in TestOptimizedResizeNearestNeighbor() argument
158 RuntimeShape input_shape({batch, input_height, input_width, depth}); in TestOptimizedResizeNearestNeighbor()
184 bool is_valid_scale(int input_width, int input_height, int output_width, in is_valid_scale() argument
187 static_cast<float>(input_height) / output_height; in is_valid_scale()
191 int32 height_scale_int = (input_height << 16) / output_height + 1; in is_valid_scale()
197 input_height - 1); in is_valid_scale()
198 int32 in_y_int = std::min((y * height_scale_int) >> 16, input_height - 1); in is_valid_scale()
222 const int input_height = ExponentialRandomPositiveInt(0.9f, 20, 200); in TEST() local
226 if (is_valid_scale(input_width, input_height, output_width, in TEST()
229 batch, depth, input_width, input_height, output_width, output_height); in TEST()
Dtest_util.cc29 const int input_height = input_shape.Dims(1); in ComputeConvSizes() local
43 output_height = (input_height + stride - dilated_filter_height) / stride; in ComputeConvSizes()
46 output_height = (input_height + stride - 1) / stride; in ComputeConvSizes()
57 0, ((output_height - 1) * stride + dilated_filter_height - input_height) / in ComputeConvSizes()
Ddepthwiseconv_quantized_test.cc490 int input_depth, int input_width, int input_height, in TryTestDepthwiseConv() argument
521 {batch, input_height, input_width, input_depth}); in TryTestDepthwiseConv()
564 const int input_height = ExponentialRandomPositiveInt(0.9f, 20, 200); in TryTestOneDepthwiseConv() local
576 input_height, filter_width, filter_height, depth_multiplier, stride, in TryTestOneDepthwiseConv()
586 int input_height = ExponentialRandomPositiveInt(0.9f, 20, 200); in TryTestOneDepthwiseConv3x3Filter() local
605 input_height = 2 * (input_height / 2) + 1; in TryTestOneDepthwiseConv3x3Filter()
611 (input_width > 1) != (input_height > 1)) { in TryTestOneDepthwiseConv3x3Filter()
618 input_height, filter_width, filter_height, depth_multiplier, stride, in TryTestOneDepthwiseConv3x3Filter()
635 const int input_height = in TryTestOneNeonDot3x3() local
654 input_height, filter_width, filter_height, depth_multiplier, stride, in TryTestOneNeonDot3x3()
Dsoftmax_quantized_test.cc156 const int input_height = ExponentialRandomPositiveInt(0.8f, 20, 200); in TryOneUniformSoftmax() local
163 RuntimeShape({batch, input_height, input_width, input_depth}); in TryOneUniformSoftmax()
189 const int input_height = ExponentialRandomPositiveInt(0.7f, 20, 200); in TryOneSkyscraperSoftmax() local
201 RuntimeShape({batch, input_height, input_width, input_depth}); in TryOneSkyscraperSoftmax()
/external/tensorflow/tensorflow/examples/label_image/
Dlabel_image.py39 input_height=299, argument
59 resized = tf.image.resize_bilinear(dims_expander, [input_height, input_width])
80 input_height = 299 variable
105 if args.input_height:
106 input_height = args.input_height variable
121 input_height=input_height,
/external/tensorflow/tensorflow/core/kernels/
Dconv_ops_using_gemm.cc89 int input_batches, int input_height, int input_width, in operator ()() argument
115 input_height + 1) / in operator ()()
121 ((output_height - 1) * stride_rows + filter_height - input_height) / in operator ()()
165 (in_y < input_height)) { in operator ()()
167 input_data[(batch * input_height * input_width * in operator ()()
212 int input_batches, int input_height, int input_width, in operator ()() argument
217 if ((input_batches <= 0) || (input_width <= 0) || (input_height <= 0) || in operator ()()
220 << input_batches << ", " << input_height << ", " in operator ()()
241 const int m = input_batches * input_height * input_width; in operator ()()
251 } else if (filter_height == input_height && filter_width == input_width && in operator ()()
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Dquantized_activation_ops_test.cc48 const int input_height = 4; in TEST_F() local
49 Tensor input_float(DT_FLOAT, {input_height, input_width}); in TEST_F()
53 Tensor expected_float(DT_FLOAT, {input_height, input_width}); in TEST_F()
79 const int input_height = 4; in TEST_F() local
80 Tensor input_float(DT_FLOAT, {input_height, input_width}); in TEST_F()
84 Tensor expected_float(DT_FLOAT, {input_height, input_width}); in TEST_F()
Dquantized_pooling_ops_test.cc53 const int input_height = 4; in TEST_F() local
56 Tensor input_float(DT_FLOAT, {1, input_height, input_width, input_channels}); in TEST_F()
65 const int expected_height = input_height / stride; in TEST_F()
98 const int input_height = 4; in TEST_F() local
101 Tensor input_float(DT_FLOAT, {1, input_height, input_width, input_channels}); in TEST_F()
110 const int expected_height = input_height / stride; in TEST_F()
Dquantized_bias_add_op_test.cc53 const int input_height = 2; in TEST_F() local
55 Tensor input_float(DT_FLOAT, {input_height, input_width}); in TEST_F()
69 Tensor expected_float(DT_FLOAT, {input_height, input_width}); in TEST_F()
103 const int input_height = 1; in TEST_F() local
105 Tensor input_float(DT_FLOAT, {input_height, input_width}); in TEST_F()
141 Tensor expected_float(DT_FLOAT, {input_height, input_width}); in TEST_F()
Dmkl_requantize_ops_test.cc117 const int input_height = 4; in TEST_F() local
123 {1, input_height, input_width, input_channels}); in TEST_F()
178 const int input_height = 4; in TEST_F() local
184 {1, input_height, input_width, input_channels}); in TEST_F()
236 const int input_height = 4; in TEST_F() local
242 {1, input_height, input_width, input_channels}); in TEST_F()
Deigen_benchmark_cpu_test.cc32 int input_batches, int input_height, int input_width, in SpatialConvolution() argument
44 typename Benchmark::Dimensions input_dims(input_batches, input_height, in SpatialConvolution()
60 int input_batches, int input_height, in SpatialConvolutionBackwardInput() argument
73 typename Benchmark::Dimensions input_dims(input_batches, input_height, in SpatialConvolutionBackwardInput()
88 int input_batches, int input_height, in SpatialConvolutionBackwardKernel() argument
101 typename Benchmark::Dimensions input_dims(input_batches, input_height, in SpatialConvolutionBackwardKernel()
110 num_computed_elements * (input_batches * input_height * input_width); in SpatialConvolutionBackwardKernel()
253 int input_batches, int input_height, int input_width, in CuboidConvolution() argument
267 input_batches, input_height, input_width, input_planes, input_depth); in CuboidConvolution()
282 int input_batches, int input_height, in CuboidConvolutionBackwardInput() argument
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Dmkl_quantized_pooling_ops_test.cc83 const int input_height = 4; in TEST_F() local
86 Tensor input_float(DT_FLOAT, {1, input_height, input_width, input_channels}); in TEST_F()
95 const int expected_height = input_height / stride; in TEST_F()
152 const int input_height = 4; in TEST_F() local
155 Tensor input_float(DT_FLOAT, {1, input_height, input_width, input_channels}); in TEST_F()
163 const int expected_height = input_height / stride; in TEST_F()
Ddepthtospace_op_gpu.cu.cc37 const int input_height, const int input_width, in D2S_NHWC() argument
57 in_d + input_depth * (in_w + input_width * (in_h + input_height * b)); in D2S_NHWC()
152 const int input_height = input.dimension(1); in operator ()() local
168 input_height, input_width, input_depth, output_height, output_width, in operator ()()
183 const int input_height = input.dimension(2); in operator ()() local
186 const int input_area = input_width * input_height; in operator ()()
233 output_depth * input_height, output.data())); in operator ()()
Deigen_attention.h94 const Index input_height = in.dimension(2); in eval() local
97 eigen_assert(input_height > 0); in eval()
107 y *= input_height; in eval()
114 y += input_height / 2.0f; in eval()
146 } else if (offset_y + height_ >= input_height) { in eval()
147 glimpse_height = (std::max<Index>)(0, input_height - offset_y); in eval()
152 slice_extent[2] = std::min<Index>(input_height, slice_extent[2]); in eval()
184 DSizes<Index, 2> input_size(input_width, input_height); in eval()
Dquantized_conv_ops.cc55 int input_batches, int input_height, int input_width, in operator ()() argument
93 ((output_height - 1) * stride + filter_height - input_height + 1) / 2; in operator ()()
98 ((output_height - 1) * stride + filter_height - input_height) / 2; in operator ()()
142 (in_y < input_height)) { in operator ()()
144 input_data[(batch * input_height * input_width * in operator ()()
201 int input_batches, int input_height, int input_width, in operator ()() argument
222 conv_functor(context, input_data, input_batches, input_height, in operator ()()
238 ((output_height - 1) * stride + filter_height - input_height + 1) / 2; in operator ()()
243 ((output_height - 1) * stride + filter_height - input_height) / 2; in operator ()()
306 input_data + (batch * input_height * input_width * input_depth); in operator ()()
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Dspacetodepth_op_gpu.cu.cc35 const int input_height, const int input_width, in S2D_NHWC() argument
45 const int h = inp_idx3 % input_height; in S2D_NHWC()
46 const int b = inp_idx3 / input_height; in S2D_NHWC()
148 const int input_height = input.dimension(1); in operator ()() local
156 batch_size * input_height * input_width * input_depth; in operator ()()
164 input_height, input_width, input_depth, output_height, output_width, in operator ()()
Dquantized_batch_norm_op_test.cc64 const int input_height = 1; in TEST_F() local
68 {input_batch, input_height, input_width, input_depth}); in TEST_F()
122 TensorShape({input_batch, input_height, input_width, input_depth})); in TEST_F()
161 const int input_height = 1; in TEST_F() local
165 {input_batch, input_height, input_width, input_depth}); in TEST_F()
219 TensorShape({input_batch, input_height, input_width, input_depth})); in TEST_F()
/external/mesa3d/src/gallium/state_trackers/xvmc/tests/
Dxvmc_bench.c56 unsigned int input_height; member
72 config->input_height = DEFAULT_INPUT_HEIGHT; in ParseArgs()
88 if (sscanf(argv[++i], "%u", &config->input_height) != 1) in ParseArgs()
172 config->output_height = config->input_height; in ParseArgs()
202 mbh = align(config.input_height, MACROBLOCK_HEIGHT) / MACROBLOCK_HEIGHT; in main()
210 config.input_height, in main()
238 …ontext(display, port_num, surface_type_id, config.input_width, config.input_height, XVMC_DIRECT, &… in main()
278 …assert(XvMCPutSurface(display, &surface, window, 0, 0, config.input_width, config.input_height, 0,… in main()
287 …printf("Input: %u,%u\nOutput: %u,%u\n", config.input_width, config.input_height, config.output_wid… in main()
/external/libxcam/tests/
Dtest-image-blend.cpp42 static uint32_t input_height = 960; variable
211 input_height = atoi(optarg); in main()
251 printf ("input/output height:%d\n", input_height); in main()
258 output_height = input_height; in main()
259 input_buf_info0.init (input_format, input_width0, input_height); in main()
260 input_buf_info1.init (input_format, input_width1, input_height); in main()
289 …input_format, input_width0, input_height, XCAM_ALIGN_UP (input_width0, 16), XCAM_ALIGN_UP(input_he… in main()
291 …input_format, input_width1, input_height, XCAM_ALIGN_UP (input_width1, 16), XCAM_ALIGN_UP(input_he… in main()
312 display, dma_fd0, input_width0, input_height, in_size, in main()
315 display, dma_fd1, input_width0, input_height, in_size, in main()
Dtest-video-stabilization.cpp76 uint32_t input_height = 1080; in main() local
119 input_height = atoi(optarg); in main()
120 output_height = input_height; in main()
154 printf ("input height:%d\n", input_height); in main()
202 input_buf_info.init (input_format, input_width, input_height); in main()
/external/tensorflow/tensorflow/lite/kernels/internal/optimized/
Dmultithreaded_conv.h88 T* im2col_buffer, int input_batches, int input_height, in operator()
108 } else if (filter_height == input_height && filter_width == input_width && in operator()
124 ConstEigenTensor input(input_data, input_batches, input_height, in operator()
156 const int input_height = input_shape.Dims(1); in Conv() local
163 conv_functor(device, input_data, im2col_data, batches, input_height, in Conv()
/external/tensorflow/tensorflow/lite/kernels/internal/reference/integer_ops/
Dmean.h40 const int input_height = input_shape.Dims(1); in Mean() local
42 const int num_elements_in_axis = input_width * input_height; in Mean()
56 for (int in_h = 0; in_h < input_height; ++in_h) { in Mean()
Dpooling.h33 const int input_height = input_shape.Dims(1); in AveragePool() local
54 std::min(params.filter_height, input_height - in_y_origin); in AveragePool()
94 const int input_height = input_shape.Dims(1); in MaxPool() local
115 std::min(params.filter_height, input_height - in_y_origin); in MaxPool()
/external/tensorflow/tensorflow/tools/benchmark/
Dbenchmark_model_test.cc34 const int input_height = 10; in CreateTestGraph() local
35 input->shape = TensorShape({input_width, input_height}); in CreateTestGraph()
37 const TensorShape constant_shape({input_height, input_width}); in CreateTestGraph()

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