529 lines
23 KiB
C++
529 lines
23 KiB
C++
// Copyright 2022 Google LLC
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//
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// This source code is licensed under the BSD-style license found in the
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// LICENSE file in the root directory of this source tree.
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#include <algorithm> // For std::generate, std::shuffle.
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#include <array> // For std::array.
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#include <cmath>
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#include <cstddef> // For size_t.
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#include <cstdint>
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#include <functional> // For std::multiplies.
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#include <memory> // For std::unique_ptr.
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#include <numeric> // For std::accumulate.
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#include <random> // For std::uniform_real_distribution.
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#include <vector> // For std::vector.
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#include <gtest/gtest.h>
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#include "xnnpack.h"
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#include "xnnpack/math.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 "replicable_random_device.h"
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#include "subgraph-unary-tester.h"
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template <typename InputType, typename OutputType = InputType,
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size_t min_dim = 0, size_t max_dim = XNN_MAX_TENSOR_DIMS,
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bool pad_output = false>
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class StaticReshapeTest
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: public UnaryTest<InputType, OutputType, min_dim, max_dim, pad_output> {
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protected:
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void SetUp() override {
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new_dims_hint = PosiblySetOneDimsionToZero(this->dims);
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}
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// Set exactly one element of `given_dims` to zero.
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std::vector<size_t> RandomSetOneDimsionToZero(
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const std::vector<size_t> given_dims) {
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std::vector<size_t> result = given_dims;
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if (result.empty()) {
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return result;
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}
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// Randomly set one dimension to zero.
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auto dynamic_axis_dist =
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std::uniform_int_distribution<size_t>(0, result.size() - 1);
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const size_t dynamic_axis = dynamic_axis_dist(this->rng);
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result[dynamic_axis] = 0;
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return result;
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}
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// Set at most one element of `given_dims` to zero.
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std::vector<size_t> PosiblySetOneDimsionToZero(
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const std::vector<size_t> given_dims) {
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std::vector<size_t> result = given_dims;
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// Randomly set one dimension to zero.
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auto dynamic_axis_dist =
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std::uniform_int_distribution<size_t>(0, result.size());
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const size_t dynamic_axis = dynamic_axis_dist(this->rng);
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if (dynamic_axis == result.size()) {
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return result;
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}
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result[dynamic_axis] = 0;
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return result;
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}
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std::vector<size_t> new_dims_hint;
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};
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using StaticReshapeTestInt8 = StaticReshapeTest<int8_t>;
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using StaticReshapeTestUint8 = StaticReshapeTest<uint8_t>;
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using StaticReshapeTestF16 = StaticReshapeTest<xnn_float16>;
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using StaticReshapeTestF32 = StaticReshapeTest<float>;
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TEST_F(StaticReshapeTestInt8, define)
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{
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const int32_t zero_point = i8dist(rng);
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const float scale = scale_dist(rng);
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ASSERT_EQ(xnn_status_success, xnn_initialize(/*allocator=*/nullptr));
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xnn_subgraph_t subgraph = nullptr;
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ASSERT_EQ(xnn_status_success, xnn_create_subgraph(/*external_value_ids=*/2, /*flags=*/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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input_id = XNN_INVALID_NODE_ID;
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ASSERT_EQ(
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xnn_status_success, xnn_define_quantized_tensor_value(
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subgraph, xnn_datatype_qint8, zero_point, scale, dims.size(), dims.data(),
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nullptr, 0, /*flags=*/XNN_VALUE_FLAG_EXTERNAL_INPUT, &input_id));
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ASSERT_NE(input_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_quantized_tensor_value(
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subgraph, xnn_datatype_qint8, zero_point, scale, dims.size(), dims.data(),
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nullptr, 1, /*flags=*/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_static_reshape(subgraph, new_dims_hint.size(), new_dims_hint.data(), input_id, output_id, /*flags=*/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_static_reshape);
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ASSERT_EQ(node->num_inputs, 1);
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ASSERT_EQ(node->inputs[0], input_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(StaticReshapeTestUint8, define)
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{
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const int32_t zero_point = u8dist(rng);
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const float scale = scale_dist(rng);
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ASSERT_EQ(xnn_status_success, xnn_initialize(/*allocator=*/nullptr));
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xnn_subgraph_t subgraph = nullptr;
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ASSERT_EQ(xnn_status_success, xnn_create_subgraph(/*external_value_ids=*/2, /*flags=*/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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input_id = XNN_INVALID_NODE_ID;
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ASSERT_EQ(
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xnn_status_success, xnn_define_quantized_tensor_value(
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subgraph, xnn_datatype_quint8, zero_point, scale, dims.size(), dims.data(),
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nullptr, 0, /*flags=*/XNN_VALUE_FLAG_EXTERNAL_INPUT, &input_id));
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ASSERT_NE(input_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_quantized_tensor_value(
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subgraph, xnn_datatype_quint8, zero_point, scale, dims.size(), dims.data(),
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nullptr, 1, /*flags=*/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_static_reshape(subgraph, new_dims_hint.size(), new_dims_hint.data(), input_id, output_id, /*flags=*/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_static_reshape);
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ASSERT_EQ(node->num_inputs, 1);
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ASSERT_EQ(node->inputs[0], input_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(StaticReshapeTestF16, define)
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{
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ASSERT_EQ(xnn_status_success, xnn_initialize(/*allocator=*/nullptr));
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xnn_subgraph_t subgraph = nullptr;
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ASSERT_EQ(xnn_status_success, xnn_create_subgraph(0, /*flags=*/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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uint32_t input_id = XNN_INVALID_NODE_ID;
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ASSERT_EQ(
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xnn_status_success,
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xnn_define_tensor_value(
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subgraph, xnn_datatype_fp16, dims.size(), dims.data(), nullptr, XNN_INVALID_VALUE_ID, /*flags=*/0, &input_id));
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ASSERT_NE(input_id, XNN_INVALID_NODE_ID);
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uint32_t 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_tensor_value(
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subgraph, xnn_datatype_fp16, dims.size(), dims.data(), nullptr, XNN_INVALID_VALUE_ID, /*flags=*/0, &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_static_reshape(subgraph, dims.size(), dims.data(), input_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_static_reshape);
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ASSERT_EQ(node->num_inputs, 1);
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ASSERT_EQ(node->inputs[0], input_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(StaticReshapeTestF32, define)
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{
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ASSERT_EQ(xnn_status_success, xnn_initialize(/*allocator=*/nullptr));
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xnn_subgraph_t subgraph = nullptr;
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ASSERT_EQ(xnn_status_success, xnn_create_subgraph(0, /*flags=*/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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uint32_t input_id = XNN_INVALID_NODE_ID;
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ASSERT_EQ(
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xnn_status_success,
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xnn_define_tensor_value(
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subgraph, xnn_datatype_fp32, dims.size(), dims.data(), nullptr, XNN_INVALID_VALUE_ID, /*flags=*/0, &input_id));
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ASSERT_NE(input_id, XNN_INVALID_NODE_ID);
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uint32_t 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_tensor_value(
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subgraph, xnn_datatype_fp32, dims.size(), dims.data(), nullptr, XNN_INVALID_VALUE_ID, /*flags=*/0, &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_static_reshape(subgraph, new_dims_hint.size(), new_dims_hint.data(), input_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_static_reshape);
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ASSERT_EQ(node->num_inputs, 1);
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ASSERT_EQ(node->inputs[0], input_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(StaticReshapeTestInt8, matches_operator_api)
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{
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const int32_t zero_point = i8dist(rng);
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const float scale = scale_dist(rng);
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std::generate(input.begin(), input.end(), [&]() { return i8dist(rng); });
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std::vector<size_t> output_dims = dims;
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std::shuffle(output_dims.begin(), output_dims.end(), rng);
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new_dims_hint = PosiblySetOneDimsionToZero(output_dims);
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ASSERT_EQ(xnn_status_success, xnn_initialize(/*allocator=*/nullptr));
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// Call operator API.
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xnn_operator_t op = nullptr;
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const xnn_status status =
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xnn_create_copy_nc_x8(/*flags=*/0, &op);
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if (status == xnn_status_unsupported_hardware) {
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GTEST_SKIP();
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}
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ASSERT_EQ(xnn_status_success, status);
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ASSERT_NE(nullptr, op);
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std::unique_ptr<xnn_operator, decltype(&xnn_delete_operator)> auto_op(op, xnn_delete_operator);
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size_t batch_size = NumElements(dims);
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ASSERT_EQ(xnn_status_success, xnn_reshape_copy_nc_x8(op, batch_size, 1, 1, 1, /*threadpool=*/nullptr));
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ASSERT_EQ(xnn_status_success, xnn_setup_copy_nc_x8(op, input.data(), operator_output.data()));
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ASSERT_EQ(xnn_status_success, xnn_run_operator(op, /*threadpool=*/nullptr));
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// Call subgraph API.
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xnn_subgraph_t subgraph = nullptr;
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ASSERT_EQ(xnn_status_success, xnn_create_subgraph(/*external_value_ids=*/2, /*flags=*/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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input_id = XNN_INVALID_NODE_ID;
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ASSERT_EQ(
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xnn_status_success, xnn_define_quantized_tensor_value(
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subgraph, xnn_datatype_qint8, zero_point, scale, dims.size(), dims.data(),
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nullptr, /*external_id=*/0, /*flags=*/XNN_VALUE_FLAG_EXTERNAL_INPUT, &input_id));
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ASSERT_NE(input_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_quantized_tensor_value(
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subgraph, xnn_datatype_qint8, zero_point, scale, output_dims.size(), output_dims.data(),
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nullptr, /*external_id=*/1, /*flags=*/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_static_reshape(subgraph, new_dims_hint.size(), new_dims_hint.data(), input_id, output_id, /*flags=*/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, /*flags=*/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, 2> external = {
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xnn_external_value{input_id, input.data()}, 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(StaticReshapeTestUint8, matches_operator_api)
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{
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const int32_t zero_point = u8dist(rng);
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const float scale = scale_dist(rng);
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std::generate(input.begin(), input.end(), [&]() { return u8dist(rng); });
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std::vector<size_t> output_dims = dims;
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std::shuffle(output_dims.begin(), output_dims.end(), rng);
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new_dims_hint = PosiblySetOneDimsionToZero(output_dims);
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ASSERT_EQ(xnn_status_success, xnn_initialize(/*allocator=*/nullptr));
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// Call operator API.
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xnn_operator_t op = nullptr;
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const xnn_status status =
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xnn_create_copy_nc_x8(/*flags=*/0, &op);
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if (status == xnn_status_unsupported_hardware) {
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GTEST_SKIP();
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}
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ASSERT_EQ(xnn_status_success, status);
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ASSERT_NE(nullptr, op);
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std::unique_ptr<xnn_operator, decltype(&xnn_delete_operator)> auto_op(op, xnn_delete_operator);
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size_t batch_size = NumElements(dims);
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ASSERT_EQ(xnn_status_success, xnn_reshape_copy_nc_x8(op, batch_size, 1, 1, 1, /*threadpool=*/nullptr));
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ASSERT_EQ(xnn_status_success, xnn_setup_copy_nc_x8(op, input.data(), operator_output.data()));
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ASSERT_EQ(xnn_status_success, xnn_run_operator(op, /*threadpool=*/nullptr));
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// Call subgraph API.
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xnn_subgraph_t subgraph = nullptr;
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ASSERT_EQ(xnn_status_success, xnn_create_subgraph(/*external_value_ids=*/2, /*flags=*/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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input_id = XNN_INVALID_NODE_ID;
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ASSERT_EQ(
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xnn_status_success, xnn_define_quantized_tensor_value(
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subgraph, xnn_datatype_quint8, zero_point, scale, dims.size(), dims.data(),
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nullptr, /*external_id=*/0, /*flags=*/XNN_VALUE_FLAG_EXTERNAL_INPUT, &input_id));
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ASSERT_NE(input_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_quantized_tensor_value(
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subgraph, xnn_datatype_quint8, zero_point, scale, output_dims.size(), output_dims.data(),
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nullptr, /*external_id=*/1, /*flags=*/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_static_reshape(subgraph, new_dims_hint.size(), new_dims_hint.data(), input_id, output_id, /*flags=*/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, /*flags=*/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, 2> external = {
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xnn_external_value{input_id, input.data()}, 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(StaticReshapeTestF16, matches_operator_api)
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{
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std::generate(input.begin(), input.end(), [&]() { return f32dist(rng); });
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std::vector<size_t> output_dims = dims;
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std::shuffle(output_dims.begin(), output_dims.end(), rng);
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ASSERT_EQ(xnn_status_success, xnn_initialize(/*allocator=*/nullptr));
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// Call operator API.
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xnn_operator_t op = nullptr;
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xnn_status status = xnn_create_copy_nc_x16(/*flags=*/0, &op);
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if (status == xnn_status_unsupported_hardware) {
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GTEST_SKIP();
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}
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ASSERT_EQ(xnn_status_success, status);
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ASSERT_NE(nullptr, op);
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std::unique_ptr<xnn_operator, decltype(&xnn_delete_operator)> auto_op(op, xnn_delete_operator);
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size_t batch_size = NumElements(dims);
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ASSERT_EQ(xnn_status_success, xnn_reshape_copy_nc_x16(op, batch_size, 1, 1, 1, /*threadpool=*/nullptr));
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ASSERT_EQ(xnn_status_success, xnn_setup_copy_nc_x16(op, input.data(), operator_output.data()));
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ASSERT_EQ(xnn_status_success, xnn_run_operator(op, /*threadpool=*/nullptr));
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// Call subgraph API.
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xnn_subgraph_t subgraph = nullptr;
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ASSERT_EQ(xnn_status_success, xnn_create_subgraph(/*external_value_ids=*/2, /*flags=*/0, &subgraph));
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ASSERT_NE(nullptr, subgraph);
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std::unique_ptr<xnn_subgraph, decltype(&xnn_delete_subgraph)> auto_subgraph(subgraph, xnn_delete_subgraph);
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uint32_t input_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_fp16, dims.size(), dims.data(), nullptr, /*external_id=*/0,
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XNN_VALUE_FLAG_EXTERNAL_INPUT, &input_id));
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ASSERT_NE(input_id, XNN_INVALID_NODE_ID);
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uint32_t output_id = XNN_INVALID_NODE_ID;
|
|
|
|
ASSERT_EQ(
|
|
xnn_status_success, xnn_define_tensor_value(
|
|
subgraph, xnn_datatype_fp16, output_dims.size(), output_dims.data(), nullptr,
|
|
/*external_id=*/1, XNN_VALUE_FLAG_EXTERNAL_OUTPUT, &output_id));
|
|
ASSERT_NE(output_id, XNN_INVALID_NODE_ID);
|
|
ASSERT_EQ(
|
|
xnn_status_success,
|
|
xnn_define_static_reshape(subgraph, output_dims.size(), output_dims.data(), input_id, output_id, /*flags=*/0));
|
|
xnn_runtime_t runtime = nullptr;
|
|
ASSERT_EQ(xnn_status_success, xnn_create_runtime_v3(subgraph, nullptr, nullptr, /*flags=*/0, &runtime));
|
|
ASSERT_NE(nullptr, runtime);
|
|
std::unique_ptr<xnn_runtime, decltype(&xnn_delete_runtime)> auto_runtime(runtime, xnn_delete_runtime);
|
|
std::array<xnn_external_value, 2> external = {
|
|
xnn_external_value{input_id, input.data()}, xnn_external_value{output_id, subgraph_output.data()}};
|
|
ASSERT_EQ(xnn_status_success, xnn_setup_runtime(runtime, external.size(), external.data()));
|
|
ASSERT_EQ(xnn_status_success, xnn_invoke_runtime(runtime));
|
|
|
|
ASSERT_EQ(subgraph_output, operator_output);
|
|
}
|
|
|
|
TEST_F(StaticReshapeTestF32, matches_operator_api)
|
|
{
|
|
std::generate(input.begin(), input.end(), [&]() { return f32dist(rng); });
|
|
|
|
std::vector<size_t> output_dims = dims;
|
|
std::shuffle(output_dims.begin(), output_dims.end(), rng);
|
|
new_dims_hint = PosiblySetOneDimsionToZero(output_dims);
|
|
|
|
ASSERT_EQ(xnn_status_success, xnn_initialize(/*allocator=*/nullptr));
|
|
|
|
// Call operator API.
|
|
xnn_operator_t op = nullptr;
|
|
xnn_status status = xnn_create_copy_nc_x32(/*flags=*/0, &op);
|
|
if (status == xnn_status_unsupported_hardware) {
|
|
GTEST_SKIP();
|
|
}
|
|
ASSERT_EQ(xnn_status_success, status);
|
|
ASSERT_NE(nullptr, op);
|
|
std::unique_ptr<xnn_operator, decltype(&xnn_delete_operator)> auto_op(op, xnn_delete_operator);
|
|
size_t batch_size = NumElements(dims);
|
|
ASSERT_EQ(xnn_status_success, xnn_reshape_copy_nc_x32(op, batch_size, 1, 1, 1, /*threadpool=*/nullptr));
|
|
ASSERT_EQ(xnn_status_success, xnn_setup_copy_nc_x32(op, input.data(), operator_output.data()));
|
|
ASSERT_EQ(xnn_status_success, xnn_run_operator(op, /*threadpool=*/nullptr));
|
|
|
|
// Call subgraph API.
|
|
xnn_subgraph_t subgraph = nullptr;
|
|
ASSERT_EQ(xnn_status_success, xnn_create_subgraph(/*external_value_ids=*/2, /*flags=*/0, &subgraph));
|
|
ASSERT_NE(nullptr, subgraph);
|
|
std::unique_ptr<xnn_subgraph, decltype(&xnn_delete_subgraph)> auto_subgraph(subgraph, xnn_delete_subgraph);
|
|
uint32_t input_id = XNN_INVALID_NODE_ID;
|
|
ASSERT_EQ(
|
|
xnn_status_success, xnn_define_tensor_value(
|
|
subgraph, xnn_datatype_fp32, dims.size(), dims.data(), nullptr, /*external_id=*/0,
|
|
XNN_VALUE_FLAG_EXTERNAL_INPUT, &input_id));
|
|
ASSERT_NE(input_id, XNN_INVALID_NODE_ID);
|
|
uint32_t output_id = XNN_INVALID_NODE_ID;
|
|
|
|
ASSERT_EQ(
|
|
xnn_status_success, xnn_define_tensor_value(
|
|
subgraph, xnn_datatype_fp32, output_dims.size(), output_dims.data(), nullptr,
|
|
/*external_id=*/1, XNN_VALUE_FLAG_EXTERNAL_OUTPUT, &output_id));
|
|
ASSERT_NE(output_id, XNN_INVALID_NODE_ID);
|
|
ASSERT_EQ(
|
|
xnn_status_success,
|
|
xnn_define_static_reshape(subgraph, new_dims_hint.size(), new_dims_hint.data(), input_id, output_id, /*flags=*/0));
|
|
xnn_runtime_t runtime = nullptr;
|
|
ASSERT_EQ(xnn_status_success, xnn_create_runtime_v3(subgraph, nullptr, nullptr, /*flags=*/0, &runtime));
|
|
ASSERT_NE(nullptr, runtime);
|
|
std::unique_ptr<xnn_runtime, decltype(&xnn_delete_runtime)> auto_runtime(runtime, xnn_delete_runtime);
|
|
std::array<xnn_external_value, 2> external = {
|
|
xnn_external_value{input_id, input.data()}, xnn_external_value{output_id, subgraph_output.data()}};
|
|
ASSERT_EQ(xnn_status_success, xnn_setup_runtime(runtime, external.size(), external.data()));
|
|
ASSERT_EQ(xnn_status_success, xnn_invoke_runtime(runtime));
|
|
|
|
ASSERT_EQ(subgraph_output, operator_output);
|
|
}
|
|
|
|
TEST_F(StaticReshapeTestF32, reshape_output) {
|
|
ASSERT_EQ(xnn_status_success, xnn_initialize(/*allocator=*/nullptr));
|
|
|
|
std::vector<size_t> output_dims = dims;
|
|
std::shuffle(output_dims.begin(), output_dims.end(), rng);
|
|
new_dims_hint = RandomSetOneDimsionToZero(output_dims);
|
|
|
|
// Call subgraph API.
|
|
xnn_subgraph_t subgraph = nullptr;
|
|
ASSERT_EQ(xnn_status_success, xnn_create_subgraph(/*external_value_ids=*/2,
|
|
/*flags=*/0, &subgraph));
|
|
std::unique_ptr<xnn_subgraph, decltype(&xnn_delete_subgraph)> auto_subgraph(
|
|
subgraph, xnn_delete_subgraph);
|
|
input_id = XNN_INVALID_NODE_ID;
|
|
ASSERT_EQ(xnn_status_success,
|
|
xnn_define_tensor_value(
|
|
subgraph, xnn_datatype_fp32, dims.size(),
|
|
dims.data(), nullptr, /*external_id=*/0,
|
|
/*flags=*/XNN_VALUE_FLAG_EXTERNAL_INPUT, &input_id));
|
|
ASSERT_NE(input_id, XNN_INVALID_NODE_ID);
|
|
|
|
output_id = XNN_INVALID_NODE_ID;
|
|
ASSERT_EQ(xnn_status_success,
|
|
xnn_define_tensor_value(
|
|
subgraph, xnn_datatype_fp32, output_dims.size(),
|
|
output_dims.data(), nullptr, /*external_id=*/1,
|
|
/*flags=*/XNN_VALUE_FLAG_EXTERNAL_OUTPUT, &output_id));
|
|
ASSERT_NE(output_id, XNN_INVALID_NODE_ID);
|
|
|
|
xnn_runtime_t runtime = nullptr;
|
|
ASSERT_EQ(xnn_status_success,
|
|
xnn_define_static_reshape(subgraph, new_dims_hint.size(),
|
|
new_dims_hint.data(), input_id, output_id,
|
|
/*flags=*/0));
|
|
ASSERT_EQ(
|
|
xnn_status_success,
|
|
xnn_create_runtime_v3(subgraph, nullptr, nullptr, /*flags=*/0, &runtime));
|
|
ASSERT_NE(nullptr, runtime);
|
|
std::unique_ptr<xnn_runtime, decltype(&xnn_delete_runtime)> auto_runtime(
|
|
runtime, xnn_delete_runtime);
|
|
std::array<xnn_external_value, 2> external = {
|
|
xnn_external_value{input_id, input.data()},
|
|
xnn_external_value{output_id, subgraph_output.data()}};
|
|
ASSERT_EQ(xnn_status_success,
|
|
xnn_setup_runtime(runtime, external.size(), external.data()));
|
|
ASSERT_EQ(xnn_status_success, xnn_invoke_runtime(runtime));
|
|
|
|
// Change the input shape (make it large enough to trigger a reallocation).
|
|
if (!dims.empty()) {
|
|
dims.front() *= 2;
|
|
dims.back() *= 3;
|
|
}
|
|
ASSERT_EQ(xnn_status_success,
|
|
xnn_reshape_external_value(runtime, input_id, dims.size(),
|
|
dims.data()));
|
|
const struct xnn_node* node = &subgraph->nodes[0];
|
|
xnn_status status =
|
|
node->reshape(&runtime->opdata[0], runtime->values, runtime->num_values,
|
|
/*threadpool=*/nullptr);
|
|
ASSERT_EQ(status, dims.empty() ? xnn_status_success
|
|
: xnn_status_reallocation_required);
|
|
const xnn_shape* output_shape = &runtime->values[node->outputs[0]].shape;
|
|
EXPECT_EQ(xnn_shape_multiply_all_dims(output_shape),
|
|
std::accumulate(dims.begin(), dims.end(), size_t(1),
|
|
std::multiplies<size_t>()));
|
|
|
|
// Change the input shape (make it a bit smaller again).
|
|
if (!dims.empty()) {
|
|
dims.front() /= 2;
|
|
}
|
|
ASSERT_EQ(xnn_status_success,
|
|
xnn_reshape_external_value(runtime, input_id, dims.size(),
|
|
dims.data()));
|
|
ASSERT_EQ(node->reshape(&runtime->opdata[0], runtime->values,
|
|
runtime->num_values, /*threadpool=*/nullptr),
|
|
xnn_status_success);
|
|
EXPECT_EQ(xnn_shape_multiply_all_dims(output_shape),
|
|
std::accumulate(dims.begin(), dims.end(), size_t(1),
|
|
std::multiplies<size_t>()));
|
|
}
|