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#include <algorithm> |
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#include <array> |
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#include <cstddef> |
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#include <cstdint> |
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#include <limits> |
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#include <memory> |
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#include <numeric> |
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#include <random> |
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#include <xnnpack.h> |
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#include <xnnpack/node-type.h> |
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#include <xnnpack/operator.h> |
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#include <xnnpack/subgraph.h> |
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#include <gtest/gtest.h> |
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template <typename T> class Concatenate2Test : public ::testing::Test { |
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protected: |
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Concatenate2Test() |
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{ |
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random_device = std::make_unique<std::random_device>(); |
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rng = std::mt19937((*random_device)()); |
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shape_dist = std::uniform_int_distribution<size_t>(1, XNN_MAX_TENSOR_DIMS); |
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dim_dist = std::uniform_int_distribution<size_t>(1, 9); |
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f32dist = std::uniform_real_distribution<float>(); |
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i8dist = |
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std::uniform_int_distribution<int32_t>(std::numeric_limits<int8_t>::min(), std::numeric_limits<int8_t>::max()); |
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u8dist = |
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std::uniform_int_distribution<int32_t>(std::numeric_limits<uint8_t>::min(), std::numeric_limits<uint8_t>::max()); |
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scale_dist = std::uniform_real_distribution<float>(0.1f, 5.0f); |
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input1_dims = RandomShape(); |
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axis = RandomAxis(input1_dims); |
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input2_dims = RandomShape(input1_dims, axis); |
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output_dims = input1_dims; |
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output_dims[axis] = input1_dims[axis] + input2_dims[axis]; |
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input1 = std::vector<T>(NumElements(input1_dims)); |
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input2 = std::vector<T>(NumElements(input2_dims)); |
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operator_output = std::vector<T>(NumElements(output_dims)); |
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subgraph_output = std::vector<T>(NumElements(output_dims)); |
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signed_zero_point = i8dist(rng); |
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unsigned_zero_point = u8dist(rng); |
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scale = scale_dist(rng); |
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batch_size = 1; |
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channels_1 = 1; |
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channels_2 = 1; |
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for (size_t i = 0; i < axis; i++) { |
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batch_size *= output_dims[i]; |
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} |
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for (size_t i = axis; i < input1_dims.size(); i++) { |
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channels_1 *= input1_dims[i]; |
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channels_2 *= input2_dims[i]; |
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} |
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output_stride = channels_1 + channels_2; |
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} |
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std::vector<size_t> RandomShape() |
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{ |
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std::vector<size_t> dims(shape_dist(rng)); |
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std::generate(dims.begin(), dims.end(), [&] { return dim_dist(rng); }); |
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return dims; |
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} |
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std::vector<size_t> RandomShape(const std::vector<size_t> base_dims, size_t axis) |
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{ |
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auto dims = base_dims; |
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dims[axis] = dim_dist(rng); |
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return dims; |
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} |
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size_t RandomAxis(const std::vector<size_t>& dims) |
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{ |
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return std::uniform_int_distribution<size_t>(0, dims.size() - 1)(rng); |
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} |
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size_t NumElements(const std::vector<size_t>& dims) |
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{ |
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return std::accumulate(dims.begin(), dims.end(), size_t(1), std::multiplies<size_t>()); |
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} |
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std::unique_ptr<std::random_device> random_device; |
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std::mt19937 rng; |
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std::uniform_int_distribution<size_t> shape_dist; |
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std::uniform_int_distribution<size_t> dim_dist; |
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std::uniform_real_distribution<float> f32dist; |
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std::uniform_int_distribution<int32_t> i8dist; |
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std::uniform_int_distribution<int32_t> u8dist; |
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std::uniform_real_distribution<float> scale_dist; |
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uint32_t input1_id; |
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uint32_t input2_id; |
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uint32_t output_id; |
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std::vector<size_t> input1_dims; |
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std::vector<size_t> input2_dims; |
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std::vector<size_t> output_dims; |
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size_t axis; |
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size_t batch_size; |
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size_t channels_1; |
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size_t channels_2; |
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size_t output_stride; |
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int32_t signed_zero_point; |
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int32_t unsigned_zero_point; |
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float scale; |
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std::vector<T> input1; |
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std::vector<T> input2; |
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std::vector<T> operator_output; |
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std::vector<T> subgraph_output; |
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}; |
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using Concatenate2TestQS8 = Concatenate2Test<int8_t>; |
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using Concatenate2TestQU8 = Concatenate2Test<uint8_t>; |
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using Concatenate2TestF32 = Concatenate2Test<float>; |
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TEST_F(Concatenate2TestQS8, define) |
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{ |
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ASSERT_EQ(xnn_status_success, xnn_initialize(nullptr)); |
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xnn_subgraph_t subgraph = nullptr; |
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ASSERT_EQ(xnn_status_success, xnn_create_subgraph(3, 0, &subgraph)); |
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std::unique_ptr<xnn_subgraph, decltype(&xnn_delete_subgraph)> auto_subgraph(subgraph, xnn_delete_subgraph); |
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input1_id = XNN_INVALID_NODE_ID; |
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ASSERT_EQ( |
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xnn_status_success, |
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xnn_define_quantized_tensor_value( |
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subgraph, xnn_datatype_qint8, signed_zero_point, scale, input1_dims.size(), input1_dims.data(), nullptr, 0, |
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XNN_VALUE_FLAG_EXTERNAL_INPUT, &input1_id)); |
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ASSERT_NE(input1_id, XNN_INVALID_NODE_ID); |
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input2_id = XNN_INVALID_NODE_ID; |
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ASSERT_EQ( |
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xnn_status_success, |
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xnn_define_quantized_tensor_value( |
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subgraph, xnn_datatype_qint8, signed_zero_point, scale, input2_dims.size(), input2_dims.data(), nullptr, 1, |
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XNN_VALUE_FLAG_EXTERNAL_INPUT, &input2_id)); |
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ASSERT_NE(input2_id, XNN_INVALID_NODE_ID); |
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output_id = XNN_INVALID_NODE_ID; |
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ASSERT_EQ( |
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xnn_status_success, |
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xnn_define_quantized_tensor_value( |
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subgraph, xnn_datatype_qint8, signed_zero_point, scale, output_dims.size(), output_dims.data(), nullptr, 2, |
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XNN_VALUE_FLAG_EXTERNAL_OUTPUT, &output_id)); |
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ASSERT_NE(output_id, XNN_INVALID_NODE_ID); |
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ASSERT_EQ(xnn_status_success, xnn_define_concatenate2(subgraph, axis, input1_id, input2_id, output_id, 0)); |
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ASSERT_EQ(subgraph->num_nodes, 1); |
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const struct xnn_node* node = &subgraph->nodes[0]; |
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ASSERT_EQ(node->type, xnn_node_type_concatenate2); |
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ASSERT_EQ(node->compute_type, xnn_compute_type_qs8); |
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ASSERT_EQ(node->params.concatenate.axis, axis); |
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ASSERT_EQ(node->num_inputs, 2); |
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ASSERT_EQ(node->inputs[0], input1_id); |
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ASSERT_EQ(node->inputs[1], input2_id); |
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ASSERT_EQ(node->num_outputs, 1); |
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ASSERT_EQ(node->outputs[0], output_id); |
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ASSERT_EQ(node->flags, 0); |
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} |
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TEST_F(Concatenate2TestQU8, define) |
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{ |
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ASSERT_EQ(xnn_status_success, xnn_initialize(nullptr)); |
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xnn_subgraph_t subgraph = nullptr; |
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ASSERT_EQ(xnn_status_success, xnn_create_subgraph(3, 0, &subgraph)); |
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std::unique_ptr<xnn_subgraph, decltype(&xnn_delete_subgraph)> auto_subgraph(subgraph, xnn_delete_subgraph); |
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input1_id = XNN_INVALID_NODE_ID; |
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ASSERT_EQ( |
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xnn_status_success, |
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xnn_define_quantized_tensor_value( |
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subgraph, xnn_datatype_quint8, unsigned_zero_point, scale, input1_dims.size(), input1_dims.data(), nullptr, 0, |
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XNN_VALUE_FLAG_EXTERNAL_INPUT, &input1_id)); |
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ASSERT_NE(input1_id, XNN_INVALID_NODE_ID); |
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input2_id = XNN_INVALID_NODE_ID; |
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ASSERT_EQ( |
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xnn_status_success, |
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xnn_define_quantized_tensor_value( |
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subgraph, xnn_datatype_quint8, unsigned_zero_point, scale, input2_dims.size(), input2_dims.data(), nullptr, 1, |
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XNN_VALUE_FLAG_EXTERNAL_INPUT, &input2_id)); |
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ASSERT_NE(input2_id, XNN_INVALID_NODE_ID); |
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output_id = XNN_INVALID_NODE_ID; |
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ASSERT_EQ( |
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xnn_status_success, |
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xnn_define_quantized_tensor_value( |
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subgraph, xnn_datatype_quint8, unsigned_zero_point, scale, output_dims.size(), output_dims.data(), nullptr, 2, |
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XNN_VALUE_FLAG_EXTERNAL_OUTPUT, &output_id)); |
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ASSERT_NE(output_id, XNN_INVALID_NODE_ID); |
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ASSERT_EQ(xnn_status_success, xnn_define_concatenate2(subgraph, axis, input1_id, input2_id, output_id, 0)); |
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ASSERT_EQ(subgraph->num_nodes, 1); |
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const struct xnn_node* node = &subgraph->nodes[0]; |
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ASSERT_EQ(node->type, xnn_node_type_concatenate2); |
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ASSERT_EQ(node->compute_type, xnn_compute_type_qu8); |
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ASSERT_EQ(node->params.concatenate.axis, axis); |
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ASSERT_EQ(node->num_inputs, 2); |
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ASSERT_EQ(node->inputs[0], input1_id); |
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ASSERT_EQ(node->inputs[1], input2_id); |
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ASSERT_EQ(node->num_outputs, 1); |
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ASSERT_EQ(node->outputs[0], output_id); |
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ASSERT_EQ(node->flags, 0); |
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} |
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TEST_F(Concatenate2TestF32, define) |
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{ |
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ASSERT_EQ(xnn_status_success, xnn_initialize(nullptr)); |
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xnn_subgraph_t subgraph = nullptr; |
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ASSERT_EQ(xnn_status_success, xnn_create_subgraph(3, 0, &subgraph)); |
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std::unique_ptr<xnn_subgraph, decltype(&xnn_delete_subgraph)> auto_subgraph(subgraph, xnn_delete_subgraph); |
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input1_id = XNN_INVALID_NODE_ID; |
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ASSERT_EQ( |
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xnn_status_success, xnn_define_tensor_value( |
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subgraph, xnn_datatype_fp32, input1_dims.size(), input1_dims.data(), nullptr, 0, |
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XNN_VALUE_FLAG_EXTERNAL_INPUT, &input1_id)); |
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ASSERT_NE(input1_id, XNN_INVALID_NODE_ID); |
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input2_id = XNN_INVALID_NODE_ID; |
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ASSERT_EQ( |
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xnn_status_success, xnn_define_tensor_value( |
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subgraph, xnn_datatype_fp32, input2_dims.size(), input2_dims.data(), nullptr, 1, |
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XNN_VALUE_FLAG_EXTERNAL_INPUT, &input2_id)); |
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ASSERT_NE(input2_id, XNN_INVALID_NODE_ID); |
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output_id = XNN_INVALID_NODE_ID; |
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ASSERT_EQ( |
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xnn_status_success, xnn_define_tensor_value( |
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subgraph, xnn_datatype_fp32, output_dims.size(), output_dims.data(), nullptr, 2, |
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XNN_VALUE_FLAG_EXTERNAL_OUTPUT, &output_id)); |
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ASSERT_NE(output_id, XNN_INVALID_NODE_ID); |
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ASSERT_EQ(xnn_status_success, xnn_define_concatenate2(subgraph, axis, input1_id, input2_id, output_id, 0)); |
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ASSERT_EQ(subgraph->num_nodes, 1); |
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const struct xnn_node* node = &subgraph->nodes[0]; |
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ASSERT_EQ(node->type, xnn_node_type_concatenate2); |
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ASSERT_EQ(node->compute_type, xnn_compute_type_fp32); |
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ASSERT_EQ(node->params.concatenate.axis, axis); |
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ASSERT_EQ(node->num_inputs, 2); |
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ASSERT_EQ(node->inputs[0], input1_id); |
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ASSERT_EQ(node->inputs[1], input2_id); |
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ASSERT_EQ(node->num_outputs, 1); |
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ASSERT_EQ(node->outputs[0], output_id); |
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ASSERT_EQ(node->flags, 0); |
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} |
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TEST_F(Concatenate2TestQS8, matches_operator_api) |
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{ |
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std::generate(input1.begin(), input1.end(), [&]() { return i8dist(rng); }); |
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std::generate(input2.begin(), input2.end(), [&]() { return i8dist(rng); }); |
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std::fill(operator_output.begin(), operator_output.end(), INT8_C(0xA5)); |
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std::fill(subgraph_output.begin(), subgraph_output.end(), INT8_C(0xA5)); |
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ASSERT_EQ(xnn_status_success, xnn_initialize(nullptr)); |
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xnn_operator_t op1 = nullptr; |
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xnn_operator_t op2 = nullptr; |
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ASSERT_EQ(xnn_status_success, xnn_create_copy_nc_x8(channels_1, channels_1, output_stride, 0, &op1)); |
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std::unique_ptr<xnn_operator, decltype(&xnn_delete_operator)> auto_op1(op1, xnn_delete_operator); |
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ASSERT_EQ(xnn_status_success, xnn_create_copy_nc_x8(channels_2, channels_2, output_stride, 0, &op2)); |
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std::unique_ptr<xnn_operator, decltype(&xnn_delete_operator)> auto_op2(op2, xnn_delete_operator); |
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ASSERT_EQ(xnn_status_success, xnn_reshape_copy_nc_x8(op1, batch_size, nullptr)); |
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ASSERT_EQ(xnn_status_success, xnn_reshape_copy_nc_x8(op2, batch_size, nullptr)); |
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ASSERT_EQ(xnn_status_success, xnn_setup_copy_nc_x8(op1, input1.data(), operator_output.data())); |
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ASSERT_EQ( |
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xnn_status_success, |
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xnn_setup_copy_nc_x8(op2, input2.data(), (uint8_t*) operator_output.data() + op1->channels)); |
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ASSERT_EQ(xnn_status_success, xnn_run_operator(op1, nullptr)); |
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ASSERT_EQ(xnn_status_success, xnn_run_operator(op2, nullptr)); |
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xnn_subgraph_t subgraph = nullptr; |
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ASSERT_EQ(xnn_status_success, xnn_create_subgraph(3, 0, &subgraph)); |
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std::unique_ptr<xnn_subgraph, decltype(&xnn_delete_subgraph)> auto_subgraph(subgraph, xnn_delete_subgraph); |
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input1_id = XNN_INVALID_NODE_ID; |
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ASSERT_EQ( |
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xnn_status_success, |
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xnn_define_quantized_tensor_value( |
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subgraph, xnn_datatype_qint8, signed_zero_point, scale, input1_dims.size(), input1_dims.data(), nullptr, 0, |
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XNN_VALUE_FLAG_EXTERNAL_INPUT, &input1_id)); |
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ASSERT_NE(input1_id, XNN_INVALID_NODE_ID); |
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input2_id = XNN_INVALID_NODE_ID; |
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ASSERT_EQ( |
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xnn_status_success, |
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xnn_define_quantized_tensor_value( |
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subgraph, xnn_datatype_qint8, signed_zero_point, scale, input2_dims.size(), input2_dims.data(), nullptr, 1, |
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XNN_VALUE_FLAG_EXTERNAL_INPUT, &input2_id)); |
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ASSERT_NE(input2_id, XNN_INVALID_NODE_ID); |
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output_id = XNN_INVALID_NODE_ID; |
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ASSERT_EQ( |
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xnn_status_success, |
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xnn_define_quantized_tensor_value( |
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subgraph, xnn_datatype_qint8, signed_zero_point, scale, output_dims.size(), output_dims.data(), nullptr, 2, |
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XNN_VALUE_FLAG_EXTERNAL_OUTPUT, &output_id)); |
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ASSERT_NE(output_id, XNN_INVALID_NODE_ID); |
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ASSERT_EQ(xnn_status_success, xnn_define_concatenate2(subgraph, axis, input1_id, input2_id, output_id, 0)); |
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xnn_runtime_t runtime = nullptr; |
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ASSERT_EQ(xnn_status_success, xnn_create_runtime_v3(subgraph, nullptr, nullptr, 0, &runtime)); |
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ASSERT_NE(nullptr, runtime); |
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std::unique_ptr<xnn_runtime, decltype(&xnn_delete_runtime)> auto_runtime(runtime, xnn_delete_runtime); |
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std::array<xnn_external_value, 3> external = { |
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xnn_external_value{input1_id, input1.data()}, xnn_external_value{input2_id, input2.data()}, |
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xnn_external_value{output_id, subgraph_output.data()}}; |
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ASSERT_EQ(xnn_status_success, xnn_setup_runtime(runtime, external.size(), external.data())); |
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ASSERT_EQ(xnn_status_success, xnn_invoke_runtime(runtime)); |
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ASSERT_EQ(subgraph_output, operator_output); |
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} |
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TEST_F(Concatenate2TestQU8, matches_operator_api) |
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{ |
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std::generate(input1.begin(), input1.end(), [&]() { return u8dist(rng); }); |
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std::generate(input2.begin(), input2.end(), [&]() { return u8dist(rng); }); |
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std::fill(operator_output.begin(), operator_output.end(), UINT8_C(0xA5)); |
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std::fill(subgraph_output.begin(), subgraph_output.end(), UINT8_C(0xA5)); |
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ASSERT_EQ(xnn_status_success, xnn_initialize(nullptr)); |
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xnn_operator_t op1 = nullptr; |
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xnn_operator_t op2 = nullptr; |
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ASSERT_EQ(xnn_status_success, xnn_create_copy_nc_x8(channels_1, channels_1, output_stride, 0, &op1)); |
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std::unique_ptr<xnn_operator, decltype(&xnn_delete_operator)> auto_op1(op1, xnn_delete_operator); |
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ASSERT_EQ(xnn_status_success, xnn_create_copy_nc_x8(channels_2, channels_2, output_stride, 0, &op2)); |
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std::unique_ptr<xnn_operator, decltype(&xnn_delete_operator)> auto_op2(op2, xnn_delete_operator); |
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ASSERT_EQ(xnn_status_success, xnn_reshape_copy_nc_x8(op1, batch_size, nullptr)); |
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ASSERT_EQ(xnn_status_success, xnn_reshape_copy_nc_x8(op2, batch_size, nullptr)); |
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ASSERT_EQ(xnn_status_success, xnn_setup_copy_nc_x8(op1, input1.data(), operator_output.data())); |
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ASSERT_EQ( |
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xnn_status_success, |
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xnn_setup_copy_nc_x8(op2, input2.data(), (uint8_t*) operator_output.data() + op1->channels)); |
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ASSERT_EQ(xnn_status_success, xnn_run_operator(op1, nullptr)); |
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ASSERT_EQ(xnn_status_success, xnn_run_operator(op2, nullptr)); |
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xnn_subgraph_t subgraph = nullptr; |
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ASSERT_EQ(xnn_status_success, xnn_create_subgraph(3, 0, &subgraph)); |
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std::unique_ptr<xnn_subgraph, decltype(&xnn_delete_subgraph)> auto_subgraph(subgraph, xnn_delete_subgraph); |
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input1_id = XNN_INVALID_NODE_ID; |
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ASSERT_EQ( |
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xnn_status_success, |
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xnn_define_quantized_tensor_value( |
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subgraph, xnn_datatype_quint8, unsigned_zero_point, scale, input1_dims.size(), input1_dims.data(), nullptr, 0, |
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XNN_VALUE_FLAG_EXTERNAL_INPUT, &input1_id)); |
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ASSERT_NE(input1_id, XNN_INVALID_NODE_ID); |
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input2_id = XNN_INVALID_NODE_ID; |
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ASSERT_EQ( |
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xnn_status_success, |
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xnn_define_quantized_tensor_value( |
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subgraph, xnn_datatype_quint8, unsigned_zero_point, scale, input2_dims.size(), input2_dims.data(), nullptr, 1, |
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XNN_VALUE_FLAG_EXTERNAL_INPUT, &input2_id)); |
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ASSERT_NE(input2_id, XNN_INVALID_NODE_ID); |
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output_id = XNN_INVALID_NODE_ID; |
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ASSERT_EQ( |
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xnn_status_success, |
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xnn_define_quantized_tensor_value( |
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subgraph, xnn_datatype_quint8, unsigned_zero_point, scale, output_dims.size(), output_dims.data(), nullptr, 2, |
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XNN_VALUE_FLAG_EXTERNAL_OUTPUT, &output_id)); |
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ASSERT_NE(output_id, XNN_INVALID_NODE_ID); |
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ASSERT_EQ(xnn_status_success, xnn_define_concatenate2(subgraph, axis, input1_id, input2_id, output_id, 0)); |
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xnn_runtime_t runtime = nullptr; |
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ASSERT_EQ(xnn_status_success, xnn_create_runtime_v3(subgraph, nullptr, nullptr, 0, &runtime)); |
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ASSERT_NE(nullptr, runtime); |
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std::unique_ptr<xnn_runtime, decltype(&xnn_delete_runtime)> auto_runtime(runtime, xnn_delete_runtime); |
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std::array<xnn_external_value, 3> external = { |
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xnn_external_value{input1_id, input1.data()}, xnn_external_value{input2_id, input2.data()}, |
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xnn_external_value{output_id, subgraph_output.data()}}; |
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ASSERT_EQ(xnn_status_success, xnn_setup_runtime(runtime, external.size(), external.data())); |
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ASSERT_EQ(xnn_status_success, xnn_invoke_runtime(runtime)); |
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ASSERT_EQ(subgraph_output, operator_output); |
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} |
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TEST_F(Concatenate2TestF32, matches_operator_api) |
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{ |
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std::generate(input1.begin(), input1.end(), [&]() { return f32dist(rng); }); |
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std::generate(input2.begin(), input2.end(), [&]() { return f32dist(rng); }); |
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std::fill(operator_output.begin(), operator_output.end(), std::nanf("")); |
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std::fill(subgraph_output.begin(), subgraph_output.end(), std::nanf("")); |
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ASSERT_EQ(xnn_status_success, xnn_initialize(nullptr)); |
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xnn_operator_t op1 = nullptr; |
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xnn_operator_t op2 = nullptr; |
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ASSERT_EQ(xnn_status_success, xnn_create_copy_nc_x32(channels_1, channels_1, output_stride, 0, &op1)); |
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std::unique_ptr<xnn_operator, decltype(&xnn_delete_operator)> auto_op1(op1, xnn_delete_operator); |
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ASSERT_EQ(xnn_status_success, xnn_create_copy_nc_x32(channels_2, channels_2, output_stride, 0, &op2)); |
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std::unique_ptr<xnn_operator, decltype(&xnn_delete_operator)> auto_op2(op2, xnn_delete_operator); |
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ASSERT_EQ(xnn_status_success, xnn_reshape_copy_nc_x32(op1, batch_size, nullptr)); |
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ASSERT_EQ(xnn_status_success, xnn_reshape_copy_nc_x32(op2, batch_size, nullptr)); |
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ASSERT_EQ(xnn_status_success, xnn_setup_copy_nc_x32(op1, input1.data(), operator_output.data())); |
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ASSERT_EQ( |
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xnn_status_success, |
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xnn_setup_copy_nc_x32( op2, input2.data(), (float*) operator_output.data() + op1->channels)); |
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ASSERT_EQ(xnn_status_success, xnn_run_operator(op1, nullptr)); |
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ASSERT_EQ(xnn_status_success, xnn_run_operator(op2, nullptr)); |
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xnn_subgraph_t subgraph = nullptr; |
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ASSERT_EQ(xnn_status_success, xnn_create_subgraph(3, 0, &subgraph)); |
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std::unique_ptr<xnn_subgraph, decltype(&xnn_delete_subgraph)> auto_subgraph(subgraph, xnn_delete_subgraph); |
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input1_id = XNN_INVALID_NODE_ID; |
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ASSERT_EQ( |
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xnn_status_success, xnn_define_tensor_value( |
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subgraph, xnn_datatype_fp32, input1_dims.size(), input1_dims.data(), nullptr, 0, |
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XNN_VALUE_FLAG_EXTERNAL_INPUT, &input1_id)); |
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ASSERT_NE(input1_id, XNN_INVALID_NODE_ID); |
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input2_id = XNN_INVALID_NODE_ID; |
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ASSERT_EQ( |
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xnn_status_success, xnn_define_tensor_value( |
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subgraph, xnn_datatype_fp32, input2_dims.size(), input2_dims.data(), nullptr, 1, |
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XNN_VALUE_FLAG_EXTERNAL_INPUT, &input2_id)); |
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ASSERT_NE(input2_id, XNN_INVALID_NODE_ID); |
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output_id = XNN_INVALID_NODE_ID; |
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ASSERT_EQ( |
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xnn_status_success, xnn_define_tensor_value( |
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subgraph, xnn_datatype_fp32, output_dims.size(), output_dims.data(), nullptr, 2, |
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XNN_VALUE_FLAG_EXTERNAL_OUTPUT, &output_id)); |
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ASSERT_NE(output_id, XNN_INVALID_NODE_ID); |
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ASSERT_EQ(xnn_status_success, xnn_define_concatenate2(subgraph, axis, input1_id, input2_id, output_id, 0)); |
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xnn_runtime_t runtime = nullptr; |
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ASSERT_EQ(xnn_status_success, xnn_create_runtime_v3(subgraph, nullptr, nullptr, 0, &runtime)); |
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ASSERT_NE(nullptr, runtime); |
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std::unique_ptr<xnn_runtime, decltype(&xnn_delete_runtime)> auto_runtime(runtime, xnn_delete_runtime); |
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std::array<xnn_external_value, 3> external = { |
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xnn_external_value{input1_id, input1.data()}, xnn_external_value{input2_id, input2.data()}, |
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xnn_external_value{output_id, subgraph_output.data()}}; |
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ASSERT_EQ(xnn_status_success, xnn_setup_runtime(runtime, external.size(), external.data())); |
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ASSERT_EQ(xnn_status_success, xnn_invoke_runtime(runtime)); |
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ASSERT_EQ(subgraph_output, operator_output); |
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} |
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