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hub / github.com/ARM-software/ComputeLibrary / validate_arguments

Function validate_arguments

src/cpu/kernels/CpuPool3dKernel.cpp:58–121  ·  view source on GitHub ↗

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56 REGISTER_FP32_NEON(arm_compute::cpu::neon_fp32_pool3d)}};
57
58Status validate_arguments(const ITensorInfo *src, const ITensorInfo *dst, const Pooling3dLayerInfo &pool_info)
59{
60 ARM_COMPUTE_RETURN_ERROR_ON_NULLPTR(src, dst);
61 ARM_COMPUTE_RETURN_ERROR_ON_SIZE_UNSUPPORTED(src);
62 ARM_COMPUTE_RETURN_ERROR_ON_MSG(src->data_layout() != DataLayout::NDHWC, "Only NDHWC layout supported");
63 ARM_COMPUTE_RETURN_ERROR_ON_CPU_F16_UNSUPPORTED(src);
64 ARM_COMPUTE_RETURN_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(src, 1, DataType::F16, DataType::F32, DataType::QASYMM8,
65 DataType::QASYMM8_SIGNED);
66
67 ARM_COMPUTE_RETURN_ERROR_ON_MSG((!is_data_type_float(src->data_type())) &&
68 (!pool_info.exclude_padding && (pool_info.pool_type == PoolingType::AVG)),
69 "Exclude padding is unsupported for non-float types for Avg op");
70
71 const auto data_layout = src->data_layout();
72 const int idx_width = get_data_layout_dimension_index(data_layout, DataLayoutDimension::WIDTH);
73 const int idx_height = get_data_layout_dimension_index(data_layout, DataLayoutDimension::HEIGHT);
74 const int idx_depth = get_data_layout_dimension_index(data_layout, DataLayoutDimension::DEPTH);
75
76 const bool is_global_pooling = pool_info.is_global_pooling;
77 const unsigned int pool_size_x = is_global_pooling ? src->dimension(idx_width) : pool_info.pool_size.width;
78 const unsigned int pool_size_y = is_global_pooling ? src->dimension(idx_height) : pool_info.pool_size.height;
79 const unsigned int pool_size_z = is_global_pooling ? src->dimension(idx_depth) : pool_info.pool_size.depth;
80
81 const unsigned int stride_x = pool_info.stride.x();
82 const unsigned int stride_y = pool_info.stride.y();
83 const unsigned int stride_z = pool_info.stride.z();
84
85 ARM_COMPUTE_RETURN_ERROR_ON((pool_size_x == 0) || (pool_size_y == 0) || (pool_size_z == 0));
86 ARM_COMPUTE_RETURN_ERROR_ON((stride_x == 0) || (stride_y == 0) || (stride_z == 0));
87
88 int output_width = 0;
89 int output_height = 0;
90 int output_depth = 0;
91
92 ARM_COMPUTE_RETURN_ERROR_ON_MSG(is_pool_3d_region_entirely_outside_input(pool_info),
93 "Pooling region that is entirely outside input tensor is unsupported");
94
95 std::tie(output_width, output_height, output_depth) =
96 scaled_3d_dimensions_signed(src->tensor_shape()[idx_width], src->tensor_shape()[idx_height],
97 src->tensor_shape()[idx_depth], pool_size_x, pool_size_y, pool_size_z, pool_info);
98 ARM_COMPUTE_RETURN_ERROR_ON_MSG((output_width < 1 || output_height < 1 || output_depth < 1),
99 "Calculated output dimension size is invalid");
100
101 const TensorShape output_shape = compute_pool3d_shape(src->tensor_shape(), pool_info);
102
103 if (dst->total_size() != 0)
104 {
105 ARM_COMPUTE_RETURN_ERROR_ON_SIZE_UNSUPPORTED(dst);
106 ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DATA_TYPES(src, dst);
107 ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DATA_LAYOUT(src, dst);
108 ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DIMENSIONS(output_shape, dst->tensor_shape());
109 }
110 else
111 {
112 const TensorInfo dst_info(output_shape, src->num_channels(), src->data_type());
113 ARM_COMPUTE_RETURN_ERROR_ON_SIZE_UNSUPPORTED(&dst_info);
114 }
115

Callers 2

configureMethod · 0.70
validateMethod · 0.70

Calls 14

is_data_type_floatFunction · 0.85
compute_pool3d_shapeFunction · 0.85
get_isaMethod · 0.80
get_implementationFunction · 0.50
data_layoutMethod · 0.45
data_typeMethod · 0.45
dimensionMethod · 0.45
xMethod · 0.45
yMethod · 0.45
zMethod · 0.45

Tested by

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