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sglang_v0.5.2/pytorch_2.8.0/third_party/XNNPACK/test/static-slice.cc

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// Copyright 2022 Google LLC
//
// This source code is licensed under the BSD-style license found in the
// LICENSE file in the root directory of this source tree.
#include <algorithm>
#include <array>
#include <cmath>
#include <cstddef>
#include <cstdint>
#include <memory>
#include <random>
#include <tuple>
#include <vector>
#include <gmock/gmock.h>
#include <gtest/gtest.h>
#include "xnnpack.h"
#include "xnnpack/math.h"
#include "xnnpack/node-type.h"
#include "xnnpack/operator.h"
#include "xnnpack/subgraph.h"
#include "replicable_random_device.h"
#include "subgraph-unary-tester.h"
template <typename T> class StaticSliceTest : public UnaryTest<T, T, /*min_dim=*/1> {
public:
StaticSliceTest()
: UnaryTest<T, T, /*min_dim=*/1>{}
{
offsets = RandomOffsets(this->dims);
std::tie(sizes, inferrable_sizes) = RandomSizes(this->dims, offsets);
// Overwrite outputs since slice output size is different from input.
this->operator_output = xnnpack::Buffer<T>(this->NumElements(sizes));
this->subgraph_output = xnnpack::Buffer<T>(this->NumElements(sizes));
}
private:
std::vector<size_t> RandomOffsets(const std::vector<size_t>& input_dims)
{
std::vector<size_t> offsets(input_dims.size());
for (size_t i = 0; i < input_dims.size(); i++) {
auto offset_dist = std::uniform_int_distribution<size_t>(0, input_dims[i] - 1);
offsets[i] = offset_dist(this->rng);
}
return offsets;
}
std::tuple<std::vector<size_t>, std::vector<size_t>> RandomSizes(
const std::vector<size_t>& input_dims, const std::vector<size_t>& offsets)
{
std::vector<size_t> sizes(input_dims.size());
sizes[0] = std::uniform_int_distribution<size_t>(1, input_dims[0] - offsets[0])(this->rng);
std::vector<size_t> inferrable_sizes = sizes;
for (size_t i = 1; i < input_dims.size(); i++) {
auto size_dist =
std::uniform_int_distribution<size_t>(offsets[i] == 0 ? 0 : 1, input_dims[i] - offsets[i]);
inferrable_sizes[i] = size_dist(this->rng);
if (inferrable_sizes[i] == 0) {
sizes[i] = input_dims[i];
} else {
sizes[i] = inferrable_sizes[i];
}
}
return {sizes, inferrable_sizes};
}
protected:
std::vector<size_t> offsets;
std::vector<size_t> sizes;
std::vector<size_t> inferrable_sizes;
};
using StaticSliceTestQS8 = StaticSliceTest<int8_t>;
using StaticSliceTestQU8 = StaticSliceTest<uint8_t>;
using StaticSliceTestF16 = StaticSliceTest<xnn_float16>;
using StaticSliceTestF32 = StaticSliceTest<float>;
TEST_F(StaticSliceTestQS8, define)
{
const int32_t zero_point = i8dist(rng);
const float scale = scale_dist(rng);
ASSERT_EQ(xnn_status_success, xnn_initialize(/*allocator=*/nullptr));
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_quantized_tensor_value(
subgraph, xnn_datatype_qint8, zero_point, scale, dims.size(), dims.data(), nullptr, 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_quantized_tensor_value(
subgraph, xnn_datatype_qint8, zero_point, scale, sizes.size(), sizes.data(), nullptr, 1,
/*flags=*/XNN_VALUE_FLAG_EXTERNAL_OUTPUT, &output_id));
ASSERT_NE(output_id, XNN_INVALID_NODE_ID);
ASSERT_EQ(
xnn_status_success,
xnn_define_static_slice(subgraph, dims.size(), offsets.data(), inferrable_sizes.data(), input_id, output_id, /*flags=*/0));
EXPECT_EQ(subgraph->num_nodes, 1);
const struct xnn_node* node = &subgraph->nodes[0];
EXPECT_EQ(node->type, xnn_node_type_static_slice);
EXPECT_EQ(node->num_inputs, 1);
EXPECT_EQ(node->inputs[0], input_id);
EXPECT_EQ(node->num_outputs, 1);
EXPECT_EQ(node->outputs[0], output_id);
EXPECT_EQ(node->flags, 0);
EXPECT_EQ(node->params.slice.num_dims, dims.size());
EXPECT_THAT(offsets, testing::ElementsAreArray(node->params.slice.offsets, dims.size()));
EXPECT_THAT(inferrable_sizes, testing::ElementsAreArray(node->params.slice.sizes, dims.size()));
}
TEST_F(StaticSliceTestQU8, define)
{
const int32_t zero_point = u8dist(rng);
const float scale = scale_dist(rng);
ASSERT_EQ(xnn_status_success, xnn_initialize(/*allocator=*/nullptr));
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_quantized_tensor_value(
subgraph, xnn_datatype_quint8, zero_point, scale, dims.size(), dims.data(), nullptr, 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_quantized_tensor_value(
subgraph, xnn_datatype_quint8, zero_point, scale, sizes.size(), sizes.data(), nullptr, 1,
/*flags=*/XNN_VALUE_FLAG_EXTERNAL_OUTPUT, &output_id));
ASSERT_NE(output_id, XNN_INVALID_NODE_ID);
ASSERT_EQ(
xnn_status_success,
xnn_define_static_slice(subgraph, dims.size(), offsets.data(), inferrable_sizes.data(), input_id, output_id, /*flags=*/0));
EXPECT_EQ(subgraph->num_nodes, 1);
const struct xnn_node* node = &subgraph->nodes[0];
EXPECT_EQ(node->type, xnn_node_type_static_slice);
EXPECT_EQ(node->num_inputs, 1);
EXPECT_EQ(node->inputs[0], input_id);
EXPECT_EQ(node->num_outputs, 1);
EXPECT_EQ(node->outputs[0], output_id);
EXPECT_EQ(node->flags, 0);
EXPECT_EQ(node->params.slice.num_dims, dims.size());
EXPECT_THAT(offsets, testing::ElementsAreArray(node->params.slice.offsets, dims.size()));
EXPECT_THAT(inferrable_sizes, testing::ElementsAreArray(node->params.slice.sizes, dims.size()));
}
TEST_F(StaticSliceTestF16, define)
{
ASSERT_EQ(xnn_status_success, xnn_initialize(/*allocator=*/nullptr));
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_fp16, dims.size(), dims.data(), nullptr, 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_fp16, sizes.size(), sizes.data(), nullptr, 1,
/*flags=*/XNN_VALUE_FLAG_EXTERNAL_OUTPUT, &output_id));
ASSERT_NE(output_id, XNN_INVALID_NODE_ID);
ASSERT_EQ(
xnn_status_success,
xnn_define_static_slice(subgraph, dims.size(), offsets.data(), sizes.data(), input_id, output_id, /*flags=*/0));
EXPECT_EQ(subgraph->num_nodes, 1);
const struct xnn_node* node = &subgraph->nodes[0];
EXPECT_EQ(node->type, xnn_node_type_static_slice);
EXPECT_EQ(node->num_inputs, 1);
EXPECT_EQ(node->inputs[0], input_id);
EXPECT_EQ(node->num_outputs, 1);
EXPECT_EQ(node->outputs[0], output_id);
EXPECT_EQ(node->flags, 0);
EXPECT_EQ(node->params.slice.num_dims, dims.size());
EXPECT_THAT(offsets, testing::ElementsAreArray(node->params.slice.offsets, dims.size()));
EXPECT_THAT(sizes, testing::ElementsAreArray(node->params.slice.sizes, dims.size()));
}
TEST_F(StaticSliceTestF32, define)
{
ASSERT_EQ(xnn_status_success, xnn_initialize(/*allocator=*/nullptr));
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, 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, sizes.size(), sizes.data(), nullptr, 1,
/*flags=*/XNN_VALUE_FLAG_EXTERNAL_OUTPUT, &output_id));
ASSERT_NE(output_id, XNN_INVALID_NODE_ID);
ASSERT_EQ(
xnn_status_success,
xnn_define_static_slice(subgraph, dims.size(), offsets.data(), inferrable_sizes.data(), input_id, output_id, /*flags=*/0));
EXPECT_EQ(subgraph->num_nodes, 1);
const struct xnn_node* node = &subgraph->nodes[0];
EXPECT_EQ(node->type, xnn_node_type_static_slice);
EXPECT_EQ(node->num_inputs, 1);
EXPECT_EQ(node->inputs[0], input_id);
EXPECT_EQ(node->num_outputs, 1);
EXPECT_EQ(node->outputs[0], output_id);
EXPECT_EQ(node->flags, 0);
EXPECT_EQ(node->params.slice.num_dims, dims.size());
EXPECT_THAT(offsets, testing::ElementsAreArray(node->params.slice.offsets, dims.size()));
EXPECT_THAT(inferrable_sizes, testing::ElementsAreArray(node->params.slice.sizes, dims.size()));
}
TEST_F(StaticSliceTestQS8, matches_operator_api)
{
const int32_t zero_point = i8dist(rng);
const float scale = scale_dist(rng);
std::generate(input.begin(), input.end(), [&]() { return i8dist(rng); });
ASSERT_EQ(xnn_status_success, xnn_initialize(/*allocator=*/nullptr));
// Call operator API.
xnn_operator_t op = nullptr;
xnn_status status = xnn_create_slice_nd_x8(/*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);
ASSERT_EQ(
xnn_status_success,
xnn_reshape_slice_nd_x8(op, dims.size(), dims.data(), offsets.data(), sizes.data(), /*threadpool=*/nullptr));
ASSERT_EQ(
xnn_status_success, xnn_setup_slice_nd_x8(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));
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_quantized_tensor_value(
subgraph, xnn_datatype_qint8, zero_point, scale, dims.size(), dims.data(), nullptr, 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_quantized_tensor_value(
subgraph, xnn_datatype_qint8, zero_point, scale, sizes.size(), sizes.data(), nullptr, 1,
/*flags=*/XNN_VALUE_FLAG_EXTERNAL_OUTPUT, &output_id));
ASSERT_NE(output_id, XNN_INVALID_NODE_ID);
ASSERT_EQ(
xnn_status_success,
xnn_define_static_slice(subgraph, dims.size(), offsets.data(), inferrable_sizes.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));
EXPECT_EQ(subgraph_output, operator_output);
}
TEST_F(StaticSliceTestQU8, matches_operator_api)
{
const int32_t zero_point = u8dist(rng);
const float scale = scale_dist(rng);
std::generate(input.begin(), input.end(), [&]() { return u8dist(rng); });
ASSERT_EQ(xnn_status_success, xnn_initialize(/*allocator=*/nullptr));
// Call operator API.
xnn_operator_t op = nullptr;
xnn_status status = xnn_create_slice_nd_x8(/*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);
ASSERT_EQ(
xnn_status_success,
xnn_reshape_slice_nd_x8(op, dims.size(), dims.data(), offsets.data(), sizes.data(), /*threadpool=*/nullptr));
ASSERT_EQ(
xnn_status_success, xnn_setup_slice_nd_x8(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));
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_quantized_tensor_value(
subgraph, xnn_datatype_quint8, zero_point, scale, dims.size(), dims.data(), nullptr, 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_quantized_tensor_value(
subgraph, xnn_datatype_quint8, zero_point, scale, sizes.size(), sizes.data(), nullptr, 1,
/*flags=*/XNN_VALUE_FLAG_EXTERNAL_OUTPUT, &output_id));
ASSERT_NE(output_id, XNN_INVALID_NODE_ID);
ASSERT_EQ(
xnn_status_success,
xnn_define_static_slice(subgraph, dims.size(), offsets.data(), inferrable_sizes.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));
EXPECT_EQ(subgraph_output, operator_output);
}
TEST_F(StaticSliceTestF16, matches_operator_api)
{
std::generate(input.begin(), input.end(), [&]() { return f32dist(rng); });
ASSERT_EQ(xnn_status_success, xnn_initialize(/*allocator=*/nullptr));
// Call operator API.
xnn_operator_t op = nullptr;
xnn_status status = xnn_create_slice_nd_x16(/*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);
ASSERT_EQ(
xnn_status_success,
xnn_reshape_slice_nd_x16(op, dims.size(), dims.data(), offsets.data(), sizes.data(), /*threadpool=*/nullptr));
ASSERT_EQ(xnn_status_success, xnn_setup_slice_nd_x16(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));
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_fp16, dims.size(), dims.data(), nullptr, 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_fp16, sizes.size(), sizes.data(), nullptr, 1,
/*flags=*/XNN_VALUE_FLAG_EXTERNAL_OUTPUT, &output_id));
ASSERT_NE(output_id, XNN_INVALID_NODE_ID);
ASSERT_EQ(
xnn_status_success,
xnn_define_static_slice(subgraph, dims.size(), offsets.data(), sizes.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));
EXPECT_EQ(subgraph_output, operator_output);
}
TEST_F(StaticSliceTestF32, matches_operator_api)
{
std::generate(input.begin(), input.end(), [&]() { return f32dist(rng); });
ASSERT_EQ(xnn_status_success, xnn_initialize(/*allocator=*/nullptr));
// Call operator API.
xnn_operator_t op = nullptr;
xnn_status status = xnn_create_slice_nd_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);
ASSERT_EQ(
xnn_status_success,
xnn_reshape_slice_nd_x32(op, dims.size(), dims.data(), offsets.data(), sizes.data(), /*threadpool=*/nullptr));
ASSERT_EQ(xnn_status_success, xnn_setup_slice_nd_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));
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, 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, sizes.size(), sizes.data(), nullptr, 1,
/*flags=*/XNN_VALUE_FLAG_EXTERNAL_OUTPUT, &output_id));
ASSERT_NE(output_id, XNN_INVALID_NODE_ID);
ASSERT_EQ(
xnn_status_success,
xnn_define_static_slice(subgraph, dims.size(), offsets.data(), inferrable_sizes.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));
EXPECT_EQ(subgraph_output, operator_output);
}
TEST_F(StaticSliceTestF32, reshape_output)
{
ASSERT_EQ(xnn_status_success, xnn_initialize(/*allocator=*/nullptr));
// 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, 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, sizes.size(), sizes.data(), nullptr, 1,
/*flags=*/XNN_VALUE_FLAG_EXTERNAL_OUTPUT, &output_id));
ASSERT_NE(output_id, XNN_INVALID_NODE_ID);
ASSERT_EQ(
xnn_status_success,
xnn_define_static_slice(subgraph, dims.size(), offsets.data(), inferrable_sizes.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));
bool dynamic = false;
dims[0] += 2;
if (dims.size() > 1) {
dims[1] += 4;
}
for (size_t i = 0; i < dims.size(); ++i) {
dynamic |= (inferrable_sizes[i] == 0 && sizes[i] != dims[i]);
}
ASSERT_EQ(xnn_reshape_external_value(runtime, input_id, dims.size(), dims.data()), xnn_status_success);
const struct xnn_node* node = &subgraph->nodes[0];
if (dynamic) {
ASSERT_EQ(node->reshape(&runtime->opdata[0], runtime->values, runtime->num_values, /*threadpool=*/nullptr), xnn_status_reallocation_required);
} else {
ASSERT_EQ(node->reshape(&runtime->opdata[0], runtime->values, runtime->num_values, /*threadpool=*/nullptr), xnn_status_success);
}
const xnn_shape* output_shape = &runtime->values[node->outputs[0]].shape;
for (size_t i = 0; i < dims.size(); ++i) {
if (inferrable_sizes[i] == 0) {
ASSERT_EQ(dims[i], output_shape->dim[i]);
} else {
ASSERT_EQ(sizes[i], output_shape->dim[i]);
}
}
dims[0] -= 1;
if (dims.size() > 1) {
dims[1] -= 3;
}
ASSERT_EQ(xnn_reshape_external_value(runtime, input_id, dims.size(), dims.data()), xnn_status_success);
ASSERT_EQ(node->reshape(&runtime->opdata[0], runtime->values, runtime->num_values, /*threadpool=*/nullptr), xnn_status_success);
for (size_t i = 0; i < dims.size(); ++i) {
if (inferrable_sizes[i] == 0) {
ASSERT_EQ(dims[i], output_shape->dim[i]);
} else {
ASSERT_EQ(sizes[i], output_shape->dim[i]);
}
}
}
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