sglang_v0.5.2/pytorch_2.8.0/third_party/XNNPACK/test/dynamic-fully-connected-nc.cc

285 lines
6.5 KiB
C++

// Copyright 2023 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 <gtest/gtest.h>
#include "dynamic-fully-connected-operator-tester.h"
TEST(DYNAMIC_FULLY_CONNECTED_NC_F16, unit_batch) {
DynamicFullyConnectedOperatorTester()
.batch_size(1)
.input_channels(23)
.output_channels(19)
.iterations(3)
.TestF16();
}
TEST(DYNAMIC_FULLY_CONNECTED_NC_F16, unit_batch_with_qmin) {
DynamicFullyConnectedOperatorTester()
.batch_size(1)
.input_channels(23)
.output_channels(19)
.qmin(128)
.iterations(3)
.TestF16();
}
TEST(DYNAMIC_FULLY_CONNECTED_NC_F16, unit_batch_with_qmax) {
DynamicFullyConnectedOperatorTester()
.batch_size(1)
.input_channels(23)
.output_channels(19)
.qmax(128)
.iterations(3)
.TestF16();
}
TEST(DYNAMIC_FULLY_CONNECTED_NC_F16, unit_batch_with_input_stride) {
DynamicFullyConnectedOperatorTester()
.batch_size(1)
.input_channels(23)
.input_stride(28)
.output_channels(19)
.iterations(3)
.TestF16();
}
TEST(DYNAMIC_FULLY_CONNECTED_NC_F16, unit_batch_with_output_stride) {
DynamicFullyConnectedOperatorTester()
.batch_size(1)
.input_channels(23)
.output_channels(19)
.output_stride(29)
.iterations(3)
.TestF16();
}
TEST(DYNAMIC_FULLY_CONNECTED_NC_F16, unit_batch_transpose_weights) {
DynamicFullyConnectedOperatorTester()
.transpose_weights(true)
.batch_size(1)
.input_channels(23)
.output_channels(19)
.iterations(3)
.TestF16();
}
TEST(DYNAMIC_FULLY_CONNECTED_NC_F16, unit_batch_without_bias) {
DynamicFullyConnectedOperatorTester()
.has_bias(false)
.batch_size(1)
.input_channels(23)
.output_channels(19)
.iterations(3)
.TestF16();
}
TEST(DYNAMIC_FULLY_CONNECTED_NC_F16, small_batch) {
DynamicFullyConnectedOperatorTester()
.batch_size(12)
.input_channels(23)
.output_channels(19)
.iterations(3)
.TestF16();
}
TEST(DYNAMIC_FULLY_CONNECTED_NC_F16, small_batch_with_qmin) {
DynamicFullyConnectedOperatorTester()
.batch_size(12)
.input_channels(23)
.output_channels(19)
.qmin(128)
.iterations(3)
.TestF16();
}
TEST(DYNAMIC_FULLY_CONNECTED_NC_F16, small_batch_with_qmax) {
DynamicFullyConnectedOperatorTester()
.batch_size(12)
.input_channels(23)
.output_channels(19)
.qmax(128)
.iterations(3)
.TestF16();
}
TEST(DYNAMIC_FULLY_CONNECTED_NC_F16, small_batch_with_input_stride) {
DynamicFullyConnectedOperatorTester()
.batch_size(12)
.input_channels(23)
.input_stride(28)
.output_channels(19)
.iterations(3)
.TestF16();
}
TEST(DYNAMIC_FULLY_CONNECTED_NC_F16, small_batch_with_output_stride) {
DynamicFullyConnectedOperatorTester()
.batch_size(12)
.input_channels(23)
.output_channels(19)
.output_stride(29)
.iterations(3)
.TestF16();
}
TEST(DYNAMIC_FULLY_CONNECTED_NC_F16, small_batch_transpose_weights) {
DynamicFullyConnectedOperatorTester()
.transpose_weights(true)
.batch_size(12)
.input_channels(23)
.output_channels(19)
.iterations(3)
.TestF16();
}
TEST(DYNAMIC_FULLY_CONNECTED_NC_F16, small_batch_without_bias) {
DynamicFullyConnectedOperatorTester()
.has_bias(false)
.batch_size(12)
.input_channels(23)
.output_channels(19)
.iterations(3)
.TestF16();
}
TEST(DYNAMIC_FULLY_CONNECTED_NC_F32, unit_batch) {
DynamicFullyConnectedOperatorTester()
.batch_size(1)
.input_channels(23)
.output_channels(19)
.iterations(3)
.TestF32();
}
TEST(DYNAMIC_FULLY_CONNECTED_NC_F32, unit_batch_with_qmin) {
DynamicFullyConnectedOperatorTester()
.batch_size(1)
.input_channels(23)
.output_channels(19)
.qmin(128)
.iterations(3)
.TestF32();
}
TEST(DYNAMIC_FULLY_CONNECTED_NC_F32, unit_batch_with_qmax) {
DynamicFullyConnectedOperatorTester()
.batch_size(1)
.input_channels(23)
.output_channels(19)
.qmax(128)
.iterations(3)
.TestF32();
}
TEST(DYNAMIC_FULLY_CONNECTED_NC_F32, unit_batch_with_input_stride) {
DynamicFullyConnectedOperatorTester()
.batch_size(1)
.input_channels(23)
.input_stride(28)
.output_channels(19)
.iterations(3)
.TestF32();
}
TEST(DYNAMIC_FULLY_CONNECTED_NC_F32, unit_batch_with_output_stride) {
DynamicFullyConnectedOperatorTester()
.batch_size(1)
.input_channels(23)
.output_channels(19)
.output_stride(29)
.iterations(3)
.TestF32();
}
TEST(DYNAMIC_FULLY_CONNECTED_NC_F32, unit_batch_transpose_weights) {
DynamicFullyConnectedOperatorTester()
.transpose_weights(true)
.batch_size(1)
.input_channels(23)
.output_channels(9)
.iterations(1)
.TestF32();
}
TEST(DYNAMIC_FULLY_CONNECTED_NC_F32, unit_batch_without_bias) {
DynamicFullyConnectedOperatorTester()
.has_bias(false)
.batch_size(1)
.input_channels(23)
.output_channels(19)
.iterations(3)
.TestF32();
}
TEST(DYNAMIC_FULLY_CONNECTED_NC_F32, small_batch) {
DynamicFullyConnectedOperatorTester()
.batch_size(12)
.input_channels(23)
.output_channels(19)
.iterations(3)
.TestF32();
}
TEST(DYNAMIC_FULLY_CONNECTED_NC_F32, small_batch_with_qmin) {
DynamicFullyConnectedOperatorTester()
.batch_size(12)
.input_channels(23)
.output_channels(19)
.qmin(128)
.iterations(3)
.TestF32();
}
TEST(DYNAMIC_FULLY_CONNECTED_NC_F32, small_batch_with_qmax) {
DynamicFullyConnectedOperatorTester()
.batch_size(12)
.input_channels(23)
.output_channels(19)
.qmax(128)
.iterations(3)
.TestF32();
}
TEST(DYNAMIC_FULLY_CONNECTED_NC_F32, small_batch_with_input_stride) {
DynamicFullyConnectedOperatorTester()
.batch_size(12)
.input_channels(23)
.input_stride(28)
.output_channels(19)
.iterations(3)
.TestF32();
}
TEST(DYNAMIC_FULLY_CONNECTED_NC_F32, small_batch_with_output_stride) {
DynamicFullyConnectedOperatorTester()
.batch_size(12)
.input_channels(23)
.output_channels(19)
.output_stride(29)
.iterations(3)
.TestF32();
}
TEST(DYNAMIC_FULLY_CONNECTED_NC_F32, small_batch_transpose_weights) {
DynamicFullyConnectedOperatorTester()
.transpose_weights(true)
.batch_size(12)
.input_channels(23)
.output_channels(19)
.iterations(3)
.TestF32();
}
TEST(DYNAMIC_FULLY_CONNECTED_NC_F32, small_batch_without_bias) {
DynamicFullyConnectedOperatorTester()
.has_bias(false)
.batch_size(12)
.input_channels(23)
.output_channels(19)
.iterations(3)
.TestF32();
}