/external/XNNPACK/src/ |
D | indirection.c | 53 … const size_t input_y = output_y * stride_height + kernel_y * dilation_height - input_padding_top; in xnn_indirection_init_conv2d() local 54 if (input_y < input_height) { in xnn_indirection_init_conv2d() 61 ((uintptr_t) input + (input_y * input_width + input_x) * input_pixel_stride); in xnn_indirection_init_conv2d() 106 … const size_t input_y = output_y * stride_height + kernel_y * dilation_height - input_padding_top; in xnn_indirection_init_dwconv2d() local 107 if (input_y < input_height) { in xnn_indirection_init_dwconv2d() 114 …(const void*) ((uintptr_t) input + ((batch_index * input_height + input_y) * input_width + input_x… in xnn_indirection_init_dwconv2d() 171 const size_t input_y = fxdiv_quotient_size_t(y, stride_height_divisor); in xnn_indirection_init_deconv2d() local 177 …if (input_y * stride_height == y && input_y < input_height && input_x * stride_width == x && input… in xnn_indirection_init_deconv2d() 178 …indirection_buffer[index] = (const void*) ((uintptr_t) input + (input_y * input_width + input_x) *… in xnn_indirection_init_deconv2d() 227 const size_t input_y = y / stride_height; in xnn_indirection_init_subconv2d() local [all …]
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D | im2col.c | 33 …const size_t input_y = output_y * subsampling_height + kernel_y * dilation_height - input_padding_… in xnn_im2col_conv2d() local 34 if (input_y < output_height) { in xnn_im2col_conv2d() 39 …(const void*) ((uintptr_t) input + (input_y * input_width + input_x) * input_pixel_stride_in_bytes… in xnn_im2col_conv2d()
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D | operator-run.c | 336 size_t input_y, in xnn_compute_unpooling() argument 340 input_y * context->input_height_stride + input_x * context->input_width_stride); in xnn_compute_unpooling() 342 input_y * context->index_height_stride + input_x * context->index_width_stride); in xnn_compute_unpooling() 345 …input_y * context->indirect_output_height_stride + input_x * context->indirect_output_width_stride… in xnn_compute_unpooling()
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/external/tensorflow/tensorflow/lite/kernels/ |
D | select.cc | 63 const TfLiteTensor* input_y = GetInput(context, node, kInputTensorY); in SelectPrepare() local 68 TF_LITE_ENSURE_EQ(context, input_x->type, input_y->type); in SelectPrepare() 72 HaveSameShapes(input_x, input_y); in SelectPrepare() 85 TF_LITE_ENSURE(context, HaveSameShapes(input_x, input_y)); in SelectPrepare() 91 input_y, &output_size)); in SelectPrepare() 110 const TfLiteTensor* input_y = GetInput(context, node, kInputTensorY); in SelectEval() local 117 GetTensorShape(input_y), GetTensorData<type>(input_y), \ in SelectEval()
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/external/XNNPACK/test/ |
D | resize-bilinear-operator-tester.h | 239 const float input_y = (float(output_y) + offset) * height_scale() - offset; in TestF32() local 240 const int64_t input_y_top = std::max<int64_t>(int64_t(std::floor(input_y)), 0); in TestF32() 241 … const int64_t input_y_bottom = std::min<int64_t>(int64_t(std::ceil(input_y)), input_height() - 1); in TestF32() 242 const float y_alpha = input_y - std::floor(input_y); in TestF32()
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/external/tensorflow/tensorflow/core/kernels/ |
D | image_ops.h | 70 const float input_y = in operator() local 78 return nearest_interpolation(coords[0], input_y, input_x, coords[3], in operator() 81 return bilinear_interpolation(coords[0], input_y, input_x, coords[3], in operator()
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/external/tensorflow/tensorflow/core/grappler/utils/ |
D | functions_test.cc | 581 const NodeDef &input_y = item.function_body().node(1); in TEST_F() local 585 EXPECT_EQ("_Arg", input_y.op()); in TEST_F() 607 EXPECT_EQ("Const", input_y.op()); in TEST_F() 608 EXPECT_EQ("const_input_y", input_y.attr().at("Tag").s()); in TEST_F()
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/external/tensorflow/tensorflow/core/grappler/optimizers/ |
D | function_optimizer_test.cc | 511 const string input_y = "Func/c/input/_1"; in TEST_F() local 528 NDef(input_y, "Identity", {"b"}, {{"T", DT_FLOAT}}, kDevice), in TEST_F() 531 NDef("c/mul", "Mul", {input_x, input_y}, {{"T", DT_FLOAT}}, kDevice), in TEST_F() 559 NDef(input_y, "Identity", {"b"}, {{"T", DT_FLOAT}}, kDevice), in TEST_F() 560 NDef("c/mul", "Mul", {input_x, input_y}, {{"T", DT_FLOAT}}, kDevice), in TEST_F() 773 const string input_y = "Func/c/input/_1"; in TEST_F() local 783 NDef(input_y, "Identity", {"b"}, {{"T", DT_FLOAT}}, cpu1), in TEST_F() 784 NDef("c/mul", "Mul", {input_x, input_y}, {{"T", DT_FLOAT}}, cpu1), in TEST_F()
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D | constant_folding.cc | 3132 const string input_y = input_x == ctx.op_child->input(0) in ConstantPushDown() local 3144 if (input_x != input_y) { in ConstantPushDown() 3160 ctx.op_child->set_input(1, input_y); in ConstantPushDown() 3195 ctx.op_child->set_input(0, neg_c ? input_y : input_c); in ConstantPushDown() 3196 ctx.op_child->set_input(1, neg_c ? input_c : input_y); in ConstantPushDown()
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/external/tensorflow/tensorflow/lite/kernels/internal/reference/ |
D | reference_ops.h | 2035 float input_y; in ResizeBilinear() local 2038 input_height, &input_y, &y0, &y1); in ResizeBilinear() 2047 (1 - (input_y - y0)) * (1 - (input_x - x0)) + in ResizeBilinear() 2049 (input_y - y0) * (1 - (input_x - x0)) + in ResizeBilinear() 2051 (1 - (input_y - y0)) * (input_x - x0) + in ResizeBilinear() 2053 (input_y - y0) * (input_x - x0)); in ResizeBilinear()
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/external/XNNPACK/src/xnnpack/ |
D | compute.h | 339 size_t input_y,
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/external/tensorflow/tensorflow/lite/kernels/internal/optimized/ |
D | optimized_ops.h | 4726 float input_y; in ResizeBilinearGeneric() local 4729 y, height_scale, half_pixel_centers, input_height, &input_y, &y0, in ResizeBilinearGeneric() 4741 float scale = (1 - (input_y - y0)) * (1 - (input_x - x0)); in ResizeBilinearGeneric() 4746 scale = (1 - (input_y - y0)) * (input_x - x0); in ResizeBilinearGeneric() 4751 scale = (input_y - y0) * (1 - (input_x - x0)); in ResizeBilinearGeneric() 4756 scale = (input_y - y0) * (input_x - x0); in ResizeBilinearGeneric() 4776 float input_y; in ResizeBilinearGenericSmallChannel() local 4779 y, height_scale, half_pixel_centers, input_height, &input_y, &y0, in ResizeBilinearGenericSmallChannel() 4792 float scale[4] = {(1 - (input_y - y0)) * (1 - (input_x - x0)), in ResizeBilinearGenericSmallChannel() 4793 (1 - (input_y - y0)) * (input_x - x0), in ResizeBilinearGenericSmallChannel() [all …]
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/external/tensorflow/tensorflow/python/saved_model/ |
D | load_test.py | 1621 input_x, input_y = imported_graph.inputs 1623 self.assertEqual([None, 2], input_y.shape.as_list())
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/external/libpng/ |
D | libpng-manual.txt | 2344 png_uint_32 input_y = 0; 2355 subimage[pass][input_y][input_x++]; 2360 ++input_y; 2372 png_uint_32 output_y = PNG_ROW_FROM_PASS_ROW(input_y, pass);
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