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Searched refs:output_y (Results 1 – 18 of 18) sorted by relevance

/external/XNNPACK/src/
Dindirection.c51 const size_t output_y = output_y_x.quotient; in xnn_indirection_init_conv2d() local
53 … const size_t input_y = output_y * stride_height + kernel_y * dilation_height - input_padding_top; in xnn_indirection_init_conv2d()
104 for (size_t output_y = 0; output_y < output_height; output_y++) { in xnn_indirection_init_dwconv2d() local
106 … const size_t input_y = output_y * stride_height + kernel_y * dilation_height - input_padding_top; in xnn_indirection_init_dwconv2d()
111 …const size_t index = (batch_index * output_height + output_y) * step_height + output_x * step_widt… in xnn_indirection_init_dwconv2d()
123 …const size_t index = (batch_index * output_height + output_y) * step_height + output_x * step_widt… in xnn_indirection_init_dwconv2d()
168 const size_t output_y = output_y_x.quotient; in xnn_indirection_init_deconv2d() local
170 const size_t y = output_y + padding_top - kernel_y * dilation_height; in xnn_indirection_init_deconv2d()
222 for (size_t output_y = output_y_start; output_y < output_height; output_y += stride_height) { in xnn_indirection_init_subconv2d() local
225 assert(doz(output_y + padding_top, kernel_y) % stride_height == 0); in xnn_indirection_init_subconv2d()
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Dim2col.c30 for (size_t output_y = 0; output_y < output_height; output_y++) { in xnn_im2col_conv2d() local
33 …const size_t input_y = output_y * subsampling_height + kernel_y * dilation_height - input_padding_… in xnn_im2col_conv2d()
Doperator-run.c242 size_t output_y) in xnn_compute_dwconv_unipass() argument
247 context->indirection_buffer + output_y * context->indirection_buffer_row_stride, in xnn_compute_dwconv_unipass()
249 context->output + output_y * context->output_row_stride, in xnn_compute_dwconv_unipass()
276 size_t output_y) in xnn_compute_argmax_pooling_unipass() argument
279 output_y * context->indirect_input_height_stride); in xnn_compute_argmax_pooling_unipass()
282 batch_index * context->output_batch_stride + output_y * context->output_height_stride); in xnn_compute_argmax_pooling_unipass()
284 batch_index * context->index_batch_stride + output_y * context->index_height_stride); in xnn_compute_argmax_pooling_unipass()
296 size_t output_y) in xnn_compute_argmax_pooling_multipass() argument
299 output_y * context->indirect_input_height_stride); in xnn_compute_argmax_pooling_multipass()
302 batch_index * context->output_batch_stride + output_y * context->output_height_stride); in xnn_compute_argmax_pooling_multipass()
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Daverage-pooling-nhwc.c623 for (size_t output_y = 0; output_y < output_height; output_y++) { in xnn_setup_average_pooling2d_nhwc_f32() local
624 …const size_t input_y_start = doz(output_y * average_pooling_op->stride_height, average_pooling_op-… in xnn_setup_average_pooling2d_nhwc_f32()
626 …min(doz(output_y * average_pooling_op->stride_height + average_pooling_op->kernel_height, average_… in xnn_setup_average_pooling2d_nhwc_f32()
/external/tensorflow/tensorflow/lite/micro/examples/person_detection/himax_driver/
DHM01B0_optimized.c59 const uint32_t output_y = (hsync_count - offset_y) >> kStrideShift; in hm01b0_blocking_read_oneframe_scaled() local
70 if (output_x < w && output_y < h) { in hm01b0_blocking_read_oneframe_scaled()
71 const int output_idx = (output_y * w + output_x) * channels; in hm01b0_blocking_read_oneframe_scaled()
/external/tensorflow/tensorflow/lite/micro/examples/person_detection_experimental/himax_driver/
DHM01B0_optimized.c60 const uint32_t output_y = (hsync_count - offset_y) >> kStrideShift; in hm01b0_blocking_read_oneframe_scaled() local
71 if (output_x < w && output_y < h) { in hm01b0_blocking_read_oneframe_scaled()
72 const int output_idx = (output_y * w + output_x) * channels; in hm01b0_blocking_read_oneframe_scaled()
/external/tensorflow/tensorflow/core/kernels/
Dimage_ops.h55 const int64 output_y = coords[1]; in operator() local
61 float projection = transform[6] * output_x + transform[7] * output_y + 1.f; in operator()
68 (transform[0] * output_x + transform[1] * output_y + transform[2]) / in operator()
71 (transform[3] * output_x + transform[4] * output_y + transform[5]) / in operator()
/external/XNNPACK/src/xnnpack/
Dcompute.h260 size_t output_y);
317 size_t output_y);
372 size_t output_y);
377 size_t output_y);
407 size_t output_y);
412 size_t output_y);
444 size_t output_y);
449 size_t output_y);
/external/XNNPACK/test/
Dresize-bilinear-operator-tester.h238 for (size_t output_y = 0; output_y < output_height(); output_y++) { in TestF32() local
239 const float input_y = (float(output_y) + offset) * height_scale() - offset; in TestF32()
249 …output_ref[((batch_index * output_height() + output_y) * output_width() + output_x) * channels() +… in TestF32()
/external/tensorflow/tensorflow/python/keras/layers/
Dkernelized_test.py334 output_y = math.sqrt(2.0 / small_output_dim) * rff_layer(y)
340 approx_kernel_value = kernelized_utils.inner_product(output_x, output_y)
379 output_y = math.sqrt(2.0 / output_dim) * rff_layer(y)
381 approx_kernel_matrix = kernelized_utils.inner_product(output_x, output_y)
/external/XNNPACK/src/f32-conv-hwc/
D3x3s2p0p1c3x4-scalar-1x1.c51 for (size_t output_y = output_y_start; output_y < output_y_end; output_y += 1) { in xnn_f32_conv_hwc_ukernel_3x3s2p0p1c3x4__scalar_1x1() local
52 const size_t input_y2 = output_y * 2 + 2 - input_padding_top; in xnn_f32_conv_hwc_ukernel_3x3s2p0p1c3x4__scalar_1x1()
D3x3s2p1c3x4-scalar-1x1.c51 for (size_t output_y = output_y_start; output_y < output_y_end; output_y += 1) { in xnn_f32_conv_hwc_ukernel_3x3s2p1c3x4__scalar_1x1() local
52 const size_t input_y2 = output_y * 2 + 2 - input_padding_top; in xnn_f32_conv_hwc_ukernel_3x3s2p1c3x4__scalar_1x1()
D3x3s2p1c3x4-neonfma-2x2.c55 for (size_t output_y = output_y_start; output_y < output_y_end; output_y += 2) { in xnn_f32_conv_hwc_ukernel_3x3s2p1c3x4__neonfma_2x2() local
56 const size_t input_y2 = output_y * 2 + 2 - input_padding_top; in xnn_f32_conv_hwc_ukernel_3x3s2p1c3x4__neonfma_2x2()
67 if XNN_UNPREDICTABLE(output_y + 2 > output_y_end) { in xnn_f32_conv_hwc_ukernel_3x3s2p1c3x4__neonfma_2x2()
D3x3s2p1c3x8-neonfma-2x2.c55 for (size_t output_y = output_y_start; output_y < output_y_end; output_y += 2) { in xnn_f32_conv_hwc_ukernel_3x3s2p1c3x8__neonfma_2x2() local
56 const size_t input_y2 = output_y * 2 + 2 - input_padding_top; in xnn_f32_conv_hwc_ukernel_3x3s2p1c3x8__neonfma_2x2()
67 if XNN_UNPREDICTABLE(output_y + 2 > output_y_end) { in xnn_f32_conv_hwc_ukernel_3x3s2p1c3x8__neonfma_2x2()
/external/XNNPACK/src/f32-conv-hwc2spchw/
D3x3s2p1c3x4-scalar-1x1.c50 for (size_t output_y = output_y_start; output_y < output_y_end; output_y += 1) { in xnn_f32_conv_hwc2spchw_ukernel_3x3s2p1c3x4__scalar_1x1() local
51 const size_t input_y2 = output_y * 2 + 2 - input_padding_top; in xnn_f32_conv_hwc2spchw_ukernel_3x3s2p1c3x4__scalar_1x1()
D3x3s2p1c3x4-neonfma-2x2.c55 for (size_t output_y = output_y_start; output_y < output_y_end; output_y += 2) { in xnn_f32_conv_hwc2spchw_ukernel_3x3s2p1c3x4__neonfma_2x2() local
56 const size_t input_y2 = output_y * 2 + 2 - input_padding_top; in xnn_f32_conv_hwc2spchw_ukernel_3x3s2p1c3x4__neonfma_2x2()
67 if XNN_UNPREDICTABLE(output_y + 2 > output_y_end) { in xnn_f32_conv_hwc2spchw_ukernel_3x3s2p1c3x4__neonfma_2x2()
/external/tensorflow/tensorflow/core/grappler/optimizers/
Dgeneric_layout_optimizer_transposer_test.cc144 auto output_y = ops::Identity(scope.WithOpName("output_y"), batch_norm.y); in CreateSimpleFusedBatchNorm() local
681 auto* output_y = context.graph_view->GetNode("output_y"); in TEST_F() local
682 ASSERT_NE(output_y, nullptr); in TEST_F()
683 ASSERT_EQ(output_y->NumRegularFanins(), 1); in TEST_F()
684 VerifyRegularFaninMatch(output_y, 0, output_transpose_node->GetName(), 0); in TEST_F()
/external/libpng/
Dlibpng-manual.txt2345 png_uint_32 output_y = PNG_PASS_START_ROW(pass);
2347 while (output_y < output_image_height)
2354 image[output_y][output_x] =
2361 output_y += yStep;
2372 png_uint_32 output_y = PNG_ROW_FROM_PASS_ROW(input_y, pass);
2378 int row_in_pass = PNG_ROW_IN_INTERLACE_PASS(output_y, pass);