mirror of
https://github.com/Evolution-X/hardware_interfaces
synced 2026-02-01 16:50:18 +00:00
Separates VTS tests by HAL version.
This prevents a fatal relocation error trying to link VtsHalNeuralnetworksV1_2TargetTest if it exceeds 1GB. Test: VtsHalNeuralnetworksV1_2TargetTest --hal_service_instance=android.hardware.neuralnetworks@1.2::IDevice/sample-all Test: VtsHalNeuralnetworksV1_2CompatV1_1TargetTest --hal_service_instance=android.hardware.neuralnetworks@1.2::IDevice/sample-all Test: VtsHalNeuralnetworksV1_2CompatV1_0TargetTest --hal_service_instance=android.hardware.neuralnetworks@1.2::IDevice/sample-all Test: VtsHalNeuralnetworksV1_1TargetTest --hal_service_instance=android.hardware.neuralnetworks@1.1::IDevice/sample-all Test: VtsHalNeuralnetworksV1_1CompatV1_0TargetTest --hal_service_instance=android.hardware.neuralnetworks@1.1::IDevice/sample-all Test: VtsHalNeuralnetworksV1_0TargetTest --hal_service_instance=android.hardware.neuralnetworks@1.0::IDevice/sample-all Bug: 119135172 Change-Id: Id5cfdeddc2f0d810b4eb47084640ae1dbf297ea1
This commit is contained in:
Michael K. Sanders
@@ -39,17 +39,14 @@ cc_library_static {
|
||||
],
|
||||
}
|
||||
|
||||
cc_test {
|
||||
name: "VtsHalNeuralnetworksV1_0TargetTest",
|
||||
cc_defaults {
|
||||
name: "VtsHalNeuralNetworksTargetTestDefaults",
|
||||
defaults: ["VtsHalTargetTestDefaults"],
|
||||
srcs: [
|
||||
"BasicTests.cpp",
|
||||
"GeneratedTests.cpp",
|
||||
"ValidateModel.cpp",
|
||||
"ValidateRequest.cpp",
|
||||
"ValidationTests.cpp",
|
||||
"VtsHalNeuralnetworks.cpp",
|
||||
],
|
||||
defaults: ["VtsHalTargetTestDefaults"],
|
||||
static_libs: [
|
||||
"android.hardware.neuralnetworks@1.0",
|
||||
"android.hardware.neuralnetworks@1.1",
|
||||
@@ -66,4 +63,23 @@ cc_test {
|
||||
"libneuralnetworks_generated_test_harness_headers",
|
||||
"libneuralnetworks_generated_tests",
|
||||
],
|
||||
// Bug: http://b/74200014 - Disable arm32 asan since it triggers internal
|
||||
// error in ld.gold.
|
||||
arch: {
|
||||
arm: {
|
||||
sanitize: {
|
||||
never: true,
|
||||
},
|
||||
},
|
||||
},
|
||||
}
|
||||
|
||||
cc_test {
|
||||
name: "VtsHalNeuralnetworksV1_0TargetTest",
|
||||
defaults: ["VtsHalNeuralNetworksTargetTestDefaults"],
|
||||
srcs: [
|
||||
"BasicTests.cpp",
|
||||
"GeneratedTests.cpp",
|
||||
"ValidationTests.cpp",
|
||||
],
|
||||
}
|
||||
|
||||
@@ -14,40 +14,23 @@
|
||||
// limitations under the License.
|
||||
//
|
||||
|
||||
// Tests for V1_0 models using the V1_1 HAL.
|
||||
cc_test {
|
||||
name: "VtsHalNeuralnetworksV1_1CompatV1_0TargetTest",
|
||||
defaults: ["VtsHalNeuralNetworksTargetTestDefaults"],
|
||||
srcs: [
|
||||
"GeneratedTestsV1_0.cpp",
|
||||
"ValidationTestsV1_0.cpp",
|
||||
],
|
||||
}
|
||||
|
||||
// Tests for V1_1 models.
|
||||
cc_test {
|
||||
name: "VtsHalNeuralnetworksV1_1TargetTest",
|
||||
defaults: ["VtsHalNeuralNetworksTargetTestDefaults"],
|
||||
srcs: [
|
||||
"BasicTests.cpp",
|
||||
"GeneratedTests.cpp",
|
||||
"ValidateModel.cpp",
|
||||
"ValidateRequest.cpp",
|
||||
"ValidationTests.cpp",
|
||||
"VtsHalNeuralnetworks.cpp",
|
||||
],
|
||||
defaults: ["VtsHalTargetTestDefaults"],
|
||||
static_libs: [
|
||||
"android.hardware.neuralnetworks@1.0",
|
||||
"android.hardware.neuralnetworks@1.1",
|
||||
"android.hardware.neuralnetworks@1.2",
|
||||
"android.hidl.allocator@1.0",
|
||||
"android.hidl.memory@1.0",
|
||||
"libgmock",
|
||||
"libhidlmemory",
|
||||
"libneuralnetworks_utils",
|
||||
"VtsHalNeuralnetworksTest_utils",
|
||||
],
|
||||
header_libs: [
|
||||
"libneuralnetworks_headers",
|
||||
"libneuralnetworks_generated_test_harness_headers",
|
||||
"libneuralnetworks_generated_tests",
|
||||
],
|
||||
// Bug: http://b/74200014 - Disable arm32 asan since it triggers internal
|
||||
// error in ld.gold.
|
||||
arch: {
|
||||
arm: {
|
||||
sanitize: {
|
||||
never: true,
|
||||
},
|
||||
},
|
||||
},
|
||||
}
|
||||
|
||||
@@ -46,7 +46,6 @@ using ::android::nn::allocateSharedMemory;
|
||||
using ::test_helper::MixedTypedExample;
|
||||
|
||||
// in frameworks/ml/nn/runtime/tests/generated/
|
||||
#include "all_generated_V1_0_vts_tests.cpp"
|
||||
#include "all_generated_V1_1_vts_tests.cpp"
|
||||
|
||||
} // namespace functional
|
||||
|
||||
56
neuralnetworks/1.1/vts/functional/GeneratedTestsV1_0.cpp
Normal file
56
neuralnetworks/1.1/vts/functional/GeneratedTestsV1_0.cpp
Normal file
@@ -0,0 +1,56 @@
|
||||
/*
|
||||
* Copyright (C) 2018 The Android Open Source Project
|
||||
*
|
||||
* Licensed under the Apache License, Version 2.0 (the "License");
|
||||
* you may not use this file except in compliance with the License.
|
||||
* You may obtain a copy of the License at
|
||||
*
|
||||
* http://www.apache.org/licenses/LICENSE-2.0
|
||||
*
|
||||
* Unless required by applicable law or agreed to in writing, software
|
||||
* distributed under the License is distributed on an "AS IS" BASIS,
|
||||
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
|
||||
* See the License for the specific language governing permissions and
|
||||
* limitations under the License.
|
||||
*/
|
||||
|
||||
#define LOG_TAG "neuralnetworks_hidl_hal_test"
|
||||
|
||||
#include "VtsHalNeuralnetworks.h"
|
||||
|
||||
#include "Callbacks.h"
|
||||
#include "TestHarness.h"
|
||||
#include "Utils.h"
|
||||
|
||||
#include <android-base/logging.h>
|
||||
#include <android/hidl/memory/1.0/IMemory.h>
|
||||
#include <hidlmemory/mapping.h>
|
||||
|
||||
namespace android {
|
||||
namespace hardware {
|
||||
namespace neuralnetworks {
|
||||
|
||||
namespace generated_tests {
|
||||
using ::test_helper::MixedTypedExample;
|
||||
extern void Execute(const sp<V1_1::IDevice>&, std::function<V1_1::Model(void)>,
|
||||
std::function<bool(int)>, const std::vector<MixedTypedExample>&);
|
||||
} // namespace generated_tests
|
||||
|
||||
namespace V1_1 {
|
||||
namespace vts {
|
||||
namespace functional {
|
||||
|
||||
using ::android::hardware::neuralnetworks::V1_0::implementation::ExecutionCallback;
|
||||
using ::android::hardware::neuralnetworks::V1_0::implementation::PreparedModelCallback;
|
||||
using ::android::nn::allocateSharedMemory;
|
||||
using ::test_helper::MixedTypedExample;
|
||||
|
||||
// in frameworks/ml/nn/runtime/tests/generated/
|
||||
#include "all_generated_V1_0_vts_tests.cpp"
|
||||
|
||||
} // namespace functional
|
||||
} // namespace vts
|
||||
} // namespace V1_1
|
||||
} // namespace neuralnetworks
|
||||
} // namespace hardware
|
||||
} // namespace android
|
||||
@@ -34,193 +34,86 @@ namespace functional {
|
||||
using MixedTypedExample = test_helper::MixedTypedExample;
|
||||
|
||||
#define FOR_EACH_TEST_MODEL(FN) \
|
||||
FN(add) \
|
||||
FN(add_broadcast_quant8) \
|
||||
FN(add_quant8) \
|
||||
FN(add_relaxed) \
|
||||
FN(avg_pool_float_1) \
|
||||
FN(avg_pool_float_1_relaxed) \
|
||||
FN(avg_pool_float_2) \
|
||||
FN(avg_pool_float_2_relaxed) \
|
||||
FN(avg_pool_float_3) \
|
||||
FN(avg_pool_float_3_relaxed) \
|
||||
FN(avg_pool_float_4) \
|
||||
FN(avg_pool_float_4_relaxed) \
|
||||
FN(avg_pool_float_5) \
|
||||
FN(avg_pool_float_5_relaxed) \
|
||||
FN(avg_pool_quant8_1) \
|
||||
FN(avg_pool_quant8_2) \
|
||||
FN(avg_pool_quant8_3) \
|
||||
FN(avg_pool_quant8_4) \
|
||||
FN(avg_pool_quant8_5) \
|
||||
FN(batch_to_space) \
|
||||
FN(batch_to_space_float_1) \
|
||||
FN(batch_to_space_float_1_relaxed) \
|
||||
FN(batch_to_space_quant8_1) \
|
||||
FN(batch_to_space_relaxed) \
|
||||
FN(concat_float_1) \
|
||||
FN(concat_float_1_relaxed) \
|
||||
FN(concat_float_2) \
|
||||
FN(concat_float_2_relaxed) \
|
||||
FN(concat_float_3) \
|
||||
FN(concat_float_3_relaxed) \
|
||||
FN(concat_quant8_1) \
|
||||
FN(concat_quant8_2) \
|
||||
FN(concat_quant8_3) \
|
||||
FN(conv_1_h3_w2_SAME) \
|
||||
FN(conv_1_h3_w2_SAME_relaxed) \
|
||||
FN(conv_1_h3_w2_VALID) \
|
||||
FN(conv_1_h3_w2_VALID_relaxed) \
|
||||
FN(conv_3_h3_w2_SAME) \
|
||||
FN(conv_3_h3_w2_SAME_relaxed) \
|
||||
FN(conv_3_h3_w2_VALID) \
|
||||
FN(conv_3_h3_w2_VALID_relaxed) \
|
||||
FN(conv_float) \
|
||||
FN(conv_float_2) \
|
||||
FN(conv_float_2_relaxed) \
|
||||
FN(conv_float_channels) \
|
||||
FN(conv_float_channels_relaxed) \
|
||||
FN(conv_float_channels_weights_as_inputs) \
|
||||
FN(conv_float_channels_weights_as_inputs_relaxed) \
|
||||
FN(conv_float_large) \
|
||||
FN(conv_float_large_relaxed) \
|
||||
FN(conv_float_large_weights_as_inputs) \
|
||||
FN(conv_float_large_weights_as_inputs_relaxed) \
|
||||
FN(conv_float_relaxed) \
|
||||
FN(conv_float_weights_as_inputs) \
|
||||
FN(conv_float_weights_as_inputs_relaxed) \
|
||||
FN(conv_quant8) \
|
||||
FN(conv_quant8_2) \
|
||||
FN(conv_quant8_channels) \
|
||||
FN(conv_quant8_channels_weights_as_inputs) \
|
||||
FN(conv_quant8_large) \
|
||||
FN(conv_quant8_large_weights_as_inputs) \
|
||||
FN(conv_quant8_overflow) \
|
||||
FN(conv_quant8_overflow_weights_as_inputs) \
|
||||
FN(conv_quant8_weights_as_inputs) \
|
||||
FN(depth_to_space_float_1) \
|
||||
FN(depth_to_space_float_1_relaxed) \
|
||||
FN(depth_to_space_float_2) \
|
||||
FN(depth_to_space_float_2_relaxed) \
|
||||
FN(depth_to_space_float_3) \
|
||||
FN(depth_to_space_float_3_relaxed) \
|
||||
FN(depth_to_space_quant8_1) \
|
||||
FN(depth_to_space_quant8_2) \
|
||||
FN(depthwise_conv) \
|
||||
FN(depthwise_conv2d_float) \
|
||||
FN(depthwise_conv2d_float_2) \
|
||||
FN(depthwise_conv2d_float_2_relaxed) \
|
||||
FN(depthwise_conv2d_float_large) \
|
||||
FN(depthwise_conv2d_float_large_2) \
|
||||
FN(depthwise_conv2d_float_large_2_relaxed) \
|
||||
FN(depthwise_conv2d_float_large_2_weights_as_inputs) \
|
||||
FN(depthwise_conv2d_float_large_2_weights_as_inputs_relaxed) \
|
||||
FN(depthwise_conv2d_float_large_relaxed) \
|
||||
FN(depthwise_conv2d_float_large_weights_as_inputs) \
|
||||
FN(depthwise_conv2d_float_large_weights_as_inputs_relaxed) \
|
||||
FN(depthwise_conv2d_float_relaxed) \
|
||||
FN(depthwise_conv2d_float_weights_as_inputs) \
|
||||
FN(depthwise_conv2d_float_weights_as_inputs_relaxed) \
|
||||
FN(depthwise_conv2d_quant8) \
|
||||
FN(depthwise_conv2d_quant8_2) \
|
||||
FN(depthwise_conv2d_quant8_large) \
|
||||
FN(depthwise_conv2d_quant8_large_weights_as_inputs) \
|
||||
FN(depthwise_conv2d_quant8_weights_as_inputs) \
|
||||
FN(depthwise_conv_relaxed) \
|
||||
FN(dequantize) \
|
||||
FN(dequantize_relaxed) \
|
||||
FN(div) \
|
||||
FN(div_broadcast_float) \
|
||||
FN(div_broadcast_float_relaxed) \
|
||||
FN(div_relaxed) \
|
||||
FN(embedding_lookup) \
|
||||
FN(embedding_lookup_relaxed) \
|
||||
FN(floor) \
|
||||
FN(floor_relaxed) \
|
||||
FN(fully_connected_float) \
|
||||
FN(fully_connected_float_2) \
|
||||
FN(fully_connected_float_2_relaxed) \
|
||||
FN(fully_connected_float_4d_simple) \
|
||||
FN(fully_connected_float_4d_simple_relaxed) \
|
||||
FN(fully_connected_float_large) \
|
||||
FN(fully_connected_float_large_relaxed) \
|
||||
FN(fully_connected_float_large_weights_as_inputs) \
|
||||
FN(fully_connected_float_large_weights_as_inputs_relaxed) \
|
||||
FN(fully_connected_float_relaxed) \
|
||||
FN(fully_connected_float_weights_as_inputs) \
|
||||
FN(fully_connected_float_weights_as_inputs_relaxed) \
|
||||
FN(fully_connected_quant8) \
|
||||
FN(fully_connected_quant8_2) \
|
||||
FN(fully_connected_quant8_large) \
|
||||
FN(fully_connected_quant8_large_weights_as_inputs) \
|
||||
FN(fully_connected_quant8_weights_as_inputs) \
|
||||
FN(hashtable_lookup_float) \
|
||||
FN(hashtable_lookup_float_relaxed) \
|
||||
FN(hashtable_lookup_quant8) \
|
||||
FN(l2_normalization) \
|
||||
FN(l2_normalization_2) \
|
||||
FN(l2_normalization_2_relaxed) \
|
||||
FN(l2_normalization_large) \
|
||||
FN(l2_normalization_large_relaxed) \
|
||||
FN(l2_normalization_relaxed) \
|
||||
FN(l2_pool_float) \
|
||||
FN(l2_pool_float_2) \
|
||||
FN(l2_pool_float_2_relaxed) \
|
||||
FN(l2_pool_float_large) \
|
||||
FN(l2_pool_float_large_relaxed) \
|
||||
FN(l2_pool_float_relaxed) \
|
||||
FN(local_response_norm_float_1) \
|
||||
FN(local_response_norm_float_1_relaxed) \
|
||||
FN(local_response_norm_float_2) \
|
||||
FN(local_response_norm_float_2_relaxed) \
|
||||
FN(local_response_norm_float_3) \
|
||||
FN(local_response_norm_float_3_relaxed) \
|
||||
FN(local_response_norm_float_4) \
|
||||
FN(local_response_norm_float_4_relaxed) \
|
||||
FN(logistic_float_1) \
|
||||
FN(logistic_float_1_relaxed) \
|
||||
FN(logistic_float_2) \
|
||||
FN(logistic_float_2_relaxed) \
|
||||
FN(logistic_quant8_1) \
|
||||
FN(logistic_quant8_2) \
|
||||
FN(lsh_projection) \
|
||||
FN(lsh_projection_2) \
|
||||
FN(lsh_projection_2_relaxed) \
|
||||
FN(lsh_projection_relaxed) \
|
||||
FN(lsh_projection_weights_as_inputs) \
|
||||
FN(lsh_projection_weights_as_inputs_relaxed) \
|
||||
FN(lstm) \
|
||||
FN(lstm2) \
|
||||
FN(lstm2_relaxed) \
|
||||
FN(lstm2_state) \
|
||||
FN(lstm2_state2) \
|
||||
FN(lstm2_state2_relaxed) \
|
||||
FN(lstm2_state_relaxed) \
|
||||
FN(lstm3) \
|
||||
FN(lstm3_relaxed) \
|
||||
FN(lstm3_state) \
|
||||
FN(lstm3_state2) \
|
||||
FN(lstm3_state2_relaxed) \
|
||||
FN(lstm3_state3) \
|
||||
FN(lstm3_state3_relaxed) \
|
||||
FN(lstm3_state_relaxed) \
|
||||
FN(lstm_relaxed) \
|
||||
FN(lstm_state) \
|
||||
FN(lstm_state2) \
|
||||
FN(lstm_state2_relaxed) \
|
||||
FN(lstm_state_relaxed) \
|
||||
FN(max_pool_float_1) \
|
||||
FN(max_pool_float_1_relaxed) \
|
||||
FN(max_pool_float_2) \
|
||||
FN(max_pool_float_2_relaxed) \
|
||||
FN(max_pool_float_3) \
|
||||
FN(max_pool_float_3_relaxed) \
|
||||
FN(max_pool_float_4) \
|
||||
FN(max_pool_float_4_relaxed) \
|
||||
FN(max_pool_quant8_1) \
|
||||
FN(max_pool_quant8_2) \
|
||||
FN(max_pool_quant8_3) \
|
||||
FN(max_pool_quant8_4) \
|
||||
FN(mean) \
|
||||
FN(mean_float_1) \
|
||||
FN(mean_float_1_relaxed) \
|
||||
@@ -229,57 +122,27 @@ using MixedTypedExample = test_helper::MixedTypedExample;
|
||||
FN(mean_quant8_1) \
|
||||
FN(mean_quant8_2) \
|
||||
FN(mean_relaxed) \
|
||||
FN(mobilenet_224_gender_basic_fixed) \
|
||||
FN(mobilenet_224_gender_basic_fixed_relaxed) \
|
||||
FN(mobilenet_quantized) \
|
||||
FN(mul) \
|
||||
FN(mul_broadcast_quant8) \
|
||||
FN(mul_quant8) \
|
||||
FN(mul_relaxed) \
|
||||
FN(mul_relu) \
|
||||
FN(mul_relu_relaxed) \
|
||||
FN(pad) \
|
||||
FN(pad_float_1) \
|
||||
FN(pad_float_1_relaxed) \
|
||||
FN(pad_relaxed) \
|
||||
FN(relu1_float_1) \
|
||||
FN(relu1_float_1_relaxed) \
|
||||
FN(relu1_float_2) \
|
||||
FN(relu1_float_2_relaxed) \
|
||||
FN(relu1_quant8_1) \
|
||||
FN(relu1_quant8_2) \
|
||||
FN(relu6_float_1) \
|
||||
FN(relu6_float_1_relaxed) \
|
||||
FN(relu6_float_2) \
|
||||
FN(relu6_float_2_relaxed) \
|
||||
FN(relu6_quant8_1) \
|
||||
FN(relu6_quant8_2) \
|
||||
FN(relu_float_1) \
|
||||
FN(relu_float_1_relaxed) \
|
||||
FN(relu_float_2) \
|
||||
FN(relu_float_2_relaxed) \
|
||||
FN(relu_quant8_1) \
|
||||
FN(relu_quant8_2) \
|
||||
FN(reshape) \
|
||||
FN(reshape_quant8) \
|
||||
FN(reshape_quant8_weights_as_inputs) \
|
||||
FN(reshape_relaxed) \
|
||||
FN(reshape_weights_as_inputs) \
|
||||
FN(reshape_weights_as_inputs_relaxed) \
|
||||
FN(resize_bilinear) \
|
||||
FN(resize_bilinear_2) \
|
||||
FN(resize_bilinear_2_relaxed) \
|
||||
FN(resize_bilinear_relaxed) \
|
||||
FN(rnn) \
|
||||
FN(rnn_relaxed) \
|
||||
FN(rnn_state) \
|
||||
FN(rnn_state_relaxed) \
|
||||
FN(softmax_float_1) \
|
||||
FN(softmax_float_1_relaxed) \
|
||||
FN(softmax_float_2) \
|
||||
FN(softmax_float_2_relaxed) \
|
||||
FN(softmax_quant8_1) \
|
||||
FN(softmax_quant8_2) \
|
||||
FN(space_to_batch) \
|
||||
FN(space_to_batch_float_1) \
|
||||
FN(space_to_batch_float_1_relaxed) \
|
||||
@@ -291,14 +154,9 @@ using MixedTypedExample = test_helper::MixedTypedExample;
|
||||
FN(space_to_batch_quant8_2) \
|
||||
FN(space_to_batch_quant8_3) \
|
||||
FN(space_to_batch_relaxed) \
|
||||
FN(space_to_depth_float_1) \
|
||||
FN(space_to_depth_float_1_relaxed) \
|
||||
FN(space_to_depth_float_2) \
|
||||
FN(space_to_depth_float_2_relaxed) \
|
||||
FN(space_to_depth_float_3) \
|
||||
FN(space_to_depth_float_3_relaxed) \
|
||||
FN(space_to_depth_quant8_1) \
|
||||
FN(space_to_depth_quant8_2) \
|
||||
FN(squeeze) \
|
||||
FN(squeeze_float_1) \
|
||||
FN(squeeze_float_1_relaxed) \
|
||||
@@ -343,13 +201,9 @@ using MixedTypedExample = test_helper::MixedTypedExample;
|
||||
FN(sub_broadcast_float) \
|
||||
FN(sub_broadcast_float_relaxed) \
|
||||
FN(sub_relaxed) \
|
||||
FN(svdf) \
|
||||
FN(svdf2) \
|
||||
FN(svdf2_relaxed) \
|
||||
FN(svdf_relaxed) \
|
||||
FN(svdf_state) \
|
||||
FN(svdf_state_relaxed) \
|
||||
FN(tanh) \
|
||||
FN(tanh_relaxed) \
|
||||
FN(transpose) \
|
||||
FN(transpose_float_1) \
|
||||
|
||||
201
neuralnetworks/1.1/vts/functional/ModelsV1_0.h
Normal file
201
neuralnetworks/1.1/vts/functional/ModelsV1_0.h
Normal file
@@ -0,0 +1,201 @@
|
||||
/*
|
||||
* Copyright (C) 2018 The Android Open Source Project
|
||||
*
|
||||
* Licensed under the Apache License, Version 2.0 (the "License");
|
||||
* you may not use this file except in compliance with the License.
|
||||
* You may obtain a copy of the License at
|
||||
*
|
||||
* http://www.apache.org/licenses/LICENSE-2.0
|
||||
*
|
||||
* Unless required by applicable law or agreed to in writing, software
|
||||
* distributed under the License is distributed on an "AS IS" BASIS,
|
||||
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
|
||||
* See the License for the specific language governing permissions and
|
||||
* limitations under the License.
|
||||
*/
|
||||
|
||||
#ifndef VTS_HAL_NEURALNETWORKS_V1_1_VTS_FUNCTIONAL_MODELS_V1_0_H
|
||||
#define VTS_HAL_NEURALNETWORKS_V1_1_VTS_FUNCTIONAL_MODELS_V1_0_H
|
||||
|
||||
#define LOG_TAG "neuralnetworks_hidl_hal_test"
|
||||
|
||||
#include "TestHarness.h"
|
||||
|
||||
#include <android/hardware/neuralnetworks/1.0/types.h>
|
||||
#include <android/hardware/neuralnetworks/1.1/types.h>
|
||||
|
||||
namespace android {
|
||||
namespace hardware {
|
||||
namespace neuralnetworks {
|
||||
namespace V1_1 {
|
||||
namespace vts {
|
||||
namespace functional {
|
||||
|
||||
using MixedTypedExample = test_helper::MixedTypedExample;
|
||||
|
||||
#define FOR_EACH_TEST_MODEL(FN) \
|
||||
FN(add_broadcast_quant8) \
|
||||
FN(add) \
|
||||
FN(add_quant8) \
|
||||
FN(avg_pool_float_1) \
|
||||
FN(avg_pool_float_2) \
|
||||
FN(avg_pool_float_3) \
|
||||
FN(avg_pool_float_4) \
|
||||
FN(avg_pool_float_5) \
|
||||
FN(avg_pool_quant8_1) \
|
||||
FN(avg_pool_quant8_2) \
|
||||
FN(avg_pool_quant8_3) \
|
||||
FN(avg_pool_quant8_4) \
|
||||
FN(avg_pool_quant8_5) \
|
||||
FN(concat_float_1) \
|
||||
FN(concat_float_2) \
|
||||
FN(concat_float_3) \
|
||||
FN(concat_quant8_1) \
|
||||
FN(concat_quant8_2) \
|
||||
FN(concat_quant8_3) \
|
||||
FN(conv_1_h3_w2_SAME) \
|
||||
FN(conv_1_h3_w2_VALID) \
|
||||
FN(conv_3_h3_w2_SAME) \
|
||||
FN(conv_3_h3_w2_VALID) \
|
||||
FN(conv_float_2) \
|
||||
FN(conv_float_channels) \
|
||||
FN(conv_float_channels_weights_as_inputs) \
|
||||
FN(conv_float_large) \
|
||||
FN(conv_float_large_weights_as_inputs) \
|
||||
FN(conv_float) \
|
||||
FN(conv_float_weights_as_inputs) \
|
||||
FN(conv_quant8_2) \
|
||||
FN(conv_quant8_channels) \
|
||||
FN(conv_quant8_channels_weights_as_inputs) \
|
||||
FN(conv_quant8_large) \
|
||||
FN(conv_quant8_large_weights_as_inputs) \
|
||||
FN(conv_quant8) \
|
||||
FN(conv_quant8_overflow) \
|
||||
FN(conv_quant8_overflow_weights_as_inputs) \
|
||||
FN(conv_quant8_weights_as_inputs) \
|
||||
FN(depth_to_space_float_1) \
|
||||
FN(depth_to_space_float_2) \
|
||||
FN(depth_to_space_float_3) \
|
||||
FN(depth_to_space_quant8_1) \
|
||||
FN(depth_to_space_quant8_2) \
|
||||
FN(depthwise_conv2d_float_2) \
|
||||
FN(depthwise_conv2d_float_large_2) \
|
||||
FN(depthwise_conv2d_float_large_2_weights_as_inputs) \
|
||||
FN(depthwise_conv2d_float_large) \
|
||||
FN(depthwise_conv2d_float_large_weights_as_inputs) \
|
||||
FN(depthwise_conv2d_float) \
|
||||
FN(depthwise_conv2d_float_weights_as_inputs) \
|
||||
FN(depthwise_conv2d_quant8_2) \
|
||||
FN(depthwise_conv2d_quant8_large) \
|
||||
FN(depthwise_conv2d_quant8_large_weights_as_inputs) \
|
||||
FN(depthwise_conv2d_quant8) \
|
||||
FN(depthwise_conv2d_quant8_weights_as_inputs) \
|
||||
FN(depthwise_conv) \
|
||||
FN(dequantize) \
|
||||
FN(embedding_lookup) \
|
||||
FN(floor) \
|
||||
FN(fully_connected_float_2) \
|
||||
FN(fully_connected_float_large) \
|
||||
FN(fully_connected_float_large_weights_as_inputs) \
|
||||
FN(fully_connected_float) \
|
||||
FN(fully_connected_float_weights_as_inputs) \
|
||||
FN(fully_connected_quant8_2) \
|
||||
FN(fully_connected_quant8_large) \
|
||||
FN(fully_connected_quant8_large_weights_as_inputs) \
|
||||
FN(fully_connected_quant8) \
|
||||
FN(fully_connected_quant8_weights_as_inputs) \
|
||||
FN(hashtable_lookup_float) \
|
||||
FN(hashtable_lookup_quant8) \
|
||||
FN(l2_normalization_2) \
|
||||
FN(l2_normalization_large) \
|
||||
FN(l2_normalization) \
|
||||
FN(l2_pool_float_2) \
|
||||
FN(l2_pool_float_large) \
|
||||
FN(l2_pool_float) \
|
||||
FN(local_response_norm_float_1) \
|
||||
FN(local_response_norm_float_2) \
|
||||
FN(local_response_norm_float_3) \
|
||||
FN(local_response_norm_float_4) \
|
||||
FN(logistic_float_1) \
|
||||
FN(logistic_float_2) \
|
||||
FN(logistic_quant8_1) \
|
||||
FN(logistic_quant8_2) \
|
||||
FN(lsh_projection_2) \
|
||||
FN(lsh_projection) \
|
||||
FN(lsh_projection_weights_as_inputs) \
|
||||
FN(lstm2) \
|
||||
FN(lstm2_state2) \
|
||||
FN(lstm2_state) \
|
||||
FN(lstm3) \
|
||||
FN(lstm3_state2) \
|
||||
FN(lstm3_state3) \
|
||||
FN(lstm3_state) \
|
||||
FN(lstm) \
|
||||
FN(lstm_state2) \
|
||||
FN(lstm_state) \
|
||||
FN(max_pool_float_1) \
|
||||
FN(max_pool_float_2) \
|
||||
FN(max_pool_float_3) \
|
||||
FN(max_pool_float_4) \
|
||||
FN(max_pool_quant8_1) \
|
||||
FN(max_pool_quant8_2) \
|
||||
FN(max_pool_quant8_3) \
|
||||
FN(max_pool_quant8_4) \
|
||||
FN(mobilenet_224_gender_basic_fixed) \
|
||||
FN(mobilenet_quantized) \
|
||||
FN(mul_broadcast_quant8) \
|
||||
FN(mul) \
|
||||
FN(mul_quant8) \
|
||||
FN(mul_relu) \
|
||||
FN(relu1_float_1) \
|
||||
FN(relu1_float_2) \
|
||||
FN(relu1_quant8_1) \
|
||||
FN(relu1_quant8_2) \
|
||||
FN(relu6_float_1) \
|
||||
FN(relu6_float_2) \
|
||||
FN(relu6_quant8_1) \
|
||||
FN(relu6_quant8_2) \
|
||||
FN(relu_float_1) \
|
||||
FN(relu_float_2) \
|
||||
FN(relu_quant8_1) \
|
||||
FN(relu_quant8_2) \
|
||||
FN(reshape) \
|
||||
FN(reshape_quant8) \
|
||||
FN(reshape_quant8_weights_as_inputs) \
|
||||
FN(reshape_weights_as_inputs) \
|
||||
FN(resize_bilinear_2) \
|
||||
FN(resize_bilinear) \
|
||||
FN(rnn) \
|
||||
FN(rnn_state) \
|
||||
FN(softmax_float_1) \
|
||||
FN(softmax_float_2) \
|
||||
FN(softmax_quant8_1) \
|
||||
FN(softmax_quant8_2) \
|
||||
FN(space_to_depth_float_1) \
|
||||
FN(space_to_depth_float_2) \
|
||||
FN(space_to_depth_float_3) \
|
||||
FN(space_to_depth_quant8_1) \
|
||||
FN(space_to_depth_quant8_2) \
|
||||
FN(svdf2) \
|
||||
FN(svdf) \
|
||||
FN(svdf_state) \
|
||||
FN(tanh)
|
||||
|
||||
#define FORWARD_DECLARE_GENERATED_OBJECTS(function) \
|
||||
namespace function { \
|
||||
extern std::vector<MixedTypedExample> examples; \
|
||||
Model createTestModel(); \
|
||||
}
|
||||
|
||||
FOR_EACH_TEST_MODEL(FORWARD_DECLARE_GENERATED_OBJECTS)
|
||||
|
||||
#undef FORWARD_DECLARE_GENERATED_OBJECTS
|
||||
|
||||
} // namespace functional
|
||||
} // namespace vts
|
||||
} // namespace V1_1
|
||||
} // namespace neuralnetworks
|
||||
} // namespace hardware
|
||||
} // namespace android
|
||||
|
||||
#endif // VTS_HAL_NEURALNETWORKS_V1_1_VTS_FUNCTIONAL_MODELS_V1_0_H
|
||||
50
neuralnetworks/1.1/vts/functional/ValidationTestsV1_0.cpp
Normal file
50
neuralnetworks/1.1/vts/functional/ValidationTestsV1_0.cpp
Normal file
@@ -0,0 +1,50 @@
|
||||
/*
|
||||
* Copyright (C) 2018 The Android Open Source Project
|
||||
*
|
||||
* Licensed under the Apache License, Version 2.0 (the "License");
|
||||
* you may not use this file except in compliance with the License.
|
||||
* You may obtain a copy of the License at
|
||||
*
|
||||
* http://www.apache.org/licenses/LICENSE-2.0
|
||||
*
|
||||
* Unless required by applicable law or agreed to in writing, software
|
||||
* distributed under the License is distributed on an "AS IS" BASIS,
|
||||
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
|
||||
* See the License for the specific language governing permissions and
|
||||
* limitations under the License.
|
||||
*/
|
||||
|
||||
#define LOG_TAG "neuralnetworks_hidl_hal_test"
|
||||
|
||||
#include "ModelsV1_0.h"
|
||||
#include "VtsHalNeuralnetworks.h"
|
||||
|
||||
namespace android {
|
||||
namespace hardware {
|
||||
namespace neuralnetworks {
|
||||
namespace V1_1 {
|
||||
namespace vts {
|
||||
namespace functional {
|
||||
|
||||
// forward declarations
|
||||
std::vector<Request> createRequests(const std::vector<MixedTypedExample>& examples);
|
||||
|
||||
// generate validation tests
|
||||
#define VTS_CURRENT_TEST_CASE(TestName) \
|
||||
TEST_F(ValidationTest, TestName) { \
|
||||
const Model model = TestName::createTestModel(); \
|
||||
const std::vector<Request> requests = createRequests(TestName::examples); \
|
||||
validateModel(model); \
|
||||
validateRequests(model, requests); \
|
||||
}
|
||||
|
||||
FOR_EACH_TEST_MODEL(VTS_CURRENT_TEST_CASE)
|
||||
|
||||
#undef VTS_CURRENT_TEST_CASE
|
||||
|
||||
} // namespace functional
|
||||
} // namespace vts
|
||||
} // namespace V1_1
|
||||
} // namespace neuralnetworks
|
||||
} // namespace hardware
|
||||
} // namespace android
|
||||
@@ -14,40 +14,33 @@
|
||||
// limitations under the License.
|
||||
//
|
||||
|
||||
// Tests for V1_0 models using the V1_2 HAL.
|
||||
cc_test {
|
||||
name: "VtsHalNeuralnetworksV1_2CompatV1_0TargetTest",
|
||||
defaults: ["VtsHalNeuralNetworksTargetTestDefaults"],
|
||||
srcs: [
|
||||
"GeneratedTestsV1_0.cpp",
|
||||
"ValidationTestsV1_0.cpp",
|
||||
]
|
||||
}
|
||||
|
||||
// Tests for V1_1 models using the V1_2 HAL.
|
||||
cc_test {
|
||||
name: "VtsHalNeuralnetworksV1_2CompatV1_1TargetTest",
|
||||
defaults: ["VtsHalNeuralNetworksTargetTestDefaults"],
|
||||
srcs: [
|
||||
"GeneratedTestsV1_1.cpp",
|
||||
"ValidationTestsV1_1.cpp",
|
||||
],
|
||||
}
|
||||
|
||||
// Tests for V1_2 models.
|
||||
cc_test {
|
||||
name: "VtsHalNeuralnetworksV1_2TargetTest",
|
||||
defaults: ["VtsHalNeuralNetworksTargetTestDefaults"],
|
||||
srcs: [
|
||||
"BasicTests.cpp",
|
||||
"GeneratedTests.cpp",
|
||||
"ValidateModel.cpp",
|
||||
"ValidateRequest.cpp",
|
||||
"ValidationTests.cpp",
|
||||
"VtsHalNeuralnetworks.cpp",
|
||||
],
|
||||
defaults: ["VtsHalTargetTestDefaults"],
|
||||
static_libs: [
|
||||
"android.hardware.neuralnetworks@1.0",
|
||||
"android.hardware.neuralnetworks@1.1",
|
||||
"android.hardware.neuralnetworks@1.2",
|
||||
"android.hidl.allocator@1.0",
|
||||
"android.hidl.memory@1.0",
|
||||
"libgmock",
|
||||
"libhidlmemory",
|
||||
"libneuralnetworks_utils",
|
||||
"VtsHalNeuralnetworksTest_utils",
|
||||
],
|
||||
header_libs: [
|
||||
"libneuralnetworks_headers",
|
||||
"libneuralnetworks_generated_test_harness_headers",
|
||||
"libneuralnetworks_generated_tests",
|
||||
],
|
||||
// Bug: http://b/74200014 - Disable arm32 asan since it triggers internal
|
||||
// error in ld.gold.
|
||||
arch: {
|
||||
arm: {
|
||||
sanitize: {
|
||||
never: true,
|
||||
},
|
||||
},
|
||||
},
|
||||
}
|
||||
|
||||
@@ -46,8 +46,6 @@ using ::android::nn::allocateSharedMemory;
|
||||
using ::test_helper::MixedTypedExample;
|
||||
|
||||
// in frameworks/ml/nn/runtime/tests/generated/
|
||||
#include "all_generated_V1_0_vts_tests.cpp"
|
||||
#include "all_generated_V1_1_vts_tests.cpp"
|
||||
#include "all_generated_V1_2_vts_tests.cpp"
|
||||
|
||||
} // namespace functional
|
||||
|
||||
56
neuralnetworks/1.2/vts/functional/GeneratedTestsV1_0.cpp
Normal file
56
neuralnetworks/1.2/vts/functional/GeneratedTestsV1_0.cpp
Normal file
@@ -0,0 +1,56 @@
|
||||
/*
|
||||
* Copyright (C) 2018 The Android Open Source Project
|
||||
*
|
||||
* Licensed under the Apache License, Version 2.0 (the "License");
|
||||
* you may not use this file except in compliance with the License.
|
||||
* You may obtain a copy of the License at
|
||||
*
|
||||
* http://www.apache.org/licenses/LICENSE-2.0
|
||||
*
|
||||
* Unless required by applicable law or agreed to in writing, software
|
||||
* distributed under the License is distributed on an "AS IS" BASIS,
|
||||
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
|
||||
* See the License for the specific language governing permissions and
|
||||
* limitations under the License.
|
||||
*/
|
||||
|
||||
#define LOG_TAG "neuralnetworks_hidl_hal_test"
|
||||
|
||||
#include "VtsHalNeuralnetworks.h"
|
||||
|
||||
#include "Callbacks.h"
|
||||
#include "TestHarness.h"
|
||||
#include "Utils.h"
|
||||
|
||||
#include <android-base/logging.h>
|
||||
#include <android/hidl/memory/1.0/IMemory.h>
|
||||
#include <hidlmemory/mapping.h>
|
||||
|
||||
namespace android {
|
||||
namespace hardware {
|
||||
namespace neuralnetworks {
|
||||
|
||||
namespace generated_tests {
|
||||
using ::test_helper::MixedTypedExample;
|
||||
extern void Execute(const sp<V1_2::IDevice>&, std::function<V1_2::Model(void)>,
|
||||
std::function<bool(int)>, const std::vector<MixedTypedExample>&);
|
||||
} // namespace generated_tests
|
||||
|
||||
namespace V1_2 {
|
||||
namespace vts {
|
||||
namespace functional {
|
||||
|
||||
using ::android::hardware::neuralnetworks::V1_0::implementation::ExecutionCallback;
|
||||
using ::android::hardware::neuralnetworks::V1_0::implementation::PreparedModelCallback;
|
||||
using ::android::nn::allocateSharedMemory;
|
||||
using ::test_helper::MixedTypedExample;
|
||||
|
||||
// in frameworks/ml/nn/runtime/tests/generated/
|
||||
#include "all_generated_V1_0_vts_tests.cpp"
|
||||
|
||||
} // namespace functional
|
||||
} // namespace vts
|
||||
} // namespace V1_2
|
||||
} // namespace neuralnetworks
|
||||
} // namespace hardware
|
||||
} // namespace android
|
||||
56
neuralnetworks/1.2/vts/functional/GeneratedTestsV1_1.cpp
Normal file
56
neuralnetworks/1.2/vts/functional/GeneratedTestsV1_1.cpp
Normal file
@@ -0,0 +1,56 @@
|
||||
/*
|
||||
* Copyright (C) 2018 The Android Open Source Project
|
||||
*
|
||||
* Licensed under the Apache License, Version 2.0 (the "License");
|
||||
* you may not use this file except in compliance with the License.
|
||||
* You may obtain a copy of the License at
|
||||
*
|
||||
* http://www.apache.org/licenses/LICENSE-2.0
|
||||
*
|
||||
* Unless required by applicable law or agreed to in writing, software
|
||||
* distributed under the License is distributed on an "AS IS" BASIS,
|
||||
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
|
||||
* See the License for the specific language governing permissions and
|
||||
* limitations under the License.
|
||||
*/
|
||||
|
||||
#define LOG_TAG "neuralnetworks_hidl_hal_test"
|
||||
|
||||
#include "VtsHalNeuralnetworks.h"
|
||||
|
||||
#include "Callbacks.h"
|
||||
#include "TestHarness.h"
|
||||
#include "Utils.h"
|
||||
|
||||
#include <android-base/logging.h>
|
||||
#include <android/hidl/memory/1.0/IMemory.h>
|
||||
#include <hidlmemory/mapping.h>
|
||||
|
||||
namespace android {
|
||||
namespace hardware {
|
||||
namespace neuralnetworks {
|
||||
|
||||
namespace generated_tests {
|
||||
using ::test_helper::MixedTypedExample;
|
||||
extern void Execute(const sp<V1_2::IDevice>&, std::function<V1_2::Model(void)>,
|
||||
std::function<bool(int)>, const std::vector<MixedTypedExample>&);
|
||||
} // namespace generated_tests
|
||||
|
||||
namespace V1_2 {
|
||||
namespace vts {
|
||||
namespace functional {
|
||||
|
||||
using ::android::hardware::neuralnetworks::V1_0::implementation::ExecutionCallback;
|
||||
using ::android::hardware::neuralnetworks::V1_0::implementation::PreparedModelCallback;
|
||||
using ::android::nn::allocateSharedMemory;
|
||||
using ::test_helper::MixedTypedExample;
|
||||
|
||||
// in frameworks/ml/nn/runtime/tests/generated/
|
||||
#include "all_generated_V1_1_vts_tests.cpp"
|
||||
|
||||
} // namespace functional
|
||||
} // namespace vts
|
||||
} // namespace V1_2
|
||||
} // namespace neuralnetworks
|
||||
} // namespace hardware
|
||||
} // namespace android
|
||||
@@ -34,330 +34,7 @@ namespace functional {
|
||||
|
||||
using MixedTypedExample = test_helper::MixedTypedExample;
|
||||
|
||||
#define FOR_EACH_TEST_MODEL(FN) \
|
||||
FN(add) \
|
||||
FN(add_broadcast_quant8) \
|
||||
FN(add_quant8) \
|
||||
FN(add_relaxed) \
|
||||
FN(avg_pool_float_1) \
|
||||
FN(avg_pool_float_1_relaxed) \
|
||||
FN(avg_pool_float_2) \
|
||||
FN(avg_pool_float_2_relaxed) \
|
||||
FN(avg_pool_float_3) \
|
||||
FN(avg_pool_float_3_relaxed) \
|
||||
FN(avg_pool_float_4) \
|
||||
FN(avg_pool_float_4_relaxed) \
|
||||
FN(avg_pool_float_5) \
|
||||
FN(avg_pool_float_5_relaxed) \
|
||||
FN(avg_pool_quant8_1) \
|
||||
FN(avg_pool_quant8_2) \
|
||||
FN(avg_pool_quant8_3) \
|
||||
FN(avg_pool_quant8_4) \
|
||||
FN(avg_pool_quant8_5) \
|
||||
FN(batch_to_space) \
|
||||
FN(batch_to_space_float_1) \
|
||||
FN(batch_to_space_float_1_relaxed) \
|
||||
FN(batch_to_space_quant8_1) \
|
||||
FN(batch_to_space_relaxed) \
|
||||
FN(concat_float_1) \
|
||||
FN(concat_float_1_relaxed) \
|
||||
FN(concat_float_2) \
|
||||
FN(concat_float_2_relaxed) \
|
||||
FN(concat_float_3) \
|
||||
FN(concat_float_3_relaxed) \
|
||||
FN(concat_quant8_1) \
|
||||
FN(concat_quant8_2) \
|
||||
FN(concat_quant8_3) \
|
||||
FN(conv_1_h3_w2_SAME) \
|
||||
FN(conv_1_h3_w2_SAME_relaxed) \
|
||||
FN(conv_1_h3_w2_VALID) \
|
||||
FN(conv_1_h3_w2_VALID_relaxed) \
|
||||
FN(conv_3_h3_w2_SAME) \
|
||||
FN(conv_3_h3_w2_SAME_relaxed) \
|
||||
FN(conv_3_h3_w2_VALID) \
|
||||
FN(conv_3_h3_w2_VALID_relaxed) \
|
||||
FN(conv_float) \
|
||||
FN(conv_float_2) \
|
||||
FN(conv_float_2_relaxed) \
|
||||
FN(conv_float_channels) \
|
||||
FN(conv_float_channels_relaxed) \
|
||||
FN(conv_float_channels_weights_as_inputs) \
|
||||
FN(conv_float_channels_weights_as_inputs_relaxed) \
|
||||
FN(conv_float_large) \
|
||||
FN(conv_float_large_relaxed) \
|
||||
FN(conv_float_large_weights_as_inputs) \
|
||||
FN(conv_float_large_weights_as_inputs_relaxed) \
|
||||
FN(conv_float_relaxed) \
|
||||
FN(conv_float_weights_as_inputs) \
|
||||
FN(conv_float_weights_as_inputs_relaxed) \
|
||||
FN(conv_quant8) \
|
||||
FN(conv_quant8_2) \
|
||||
FN(conv_quant8_channels) \
|
||||
FN(conv_quant8_channels_weights_as_inputs) \
|
||||
FN(conv_quant8_large) \
|
||||
FN(conv_quant8_large_weights_as_inputs) \
|
||||
FN(conv_quant8_overflow) \
|
||||
FN(conv_quant8_overflow_weights_as_inputs) \
|
||||
FN(conv_quant8_weights_as_inputs) \
|
||||
FN(depth_to_space_float_1) \
|
||||
FN(depth_to_space_float_1_relaxed) \
|
||||
FN(depth_to_space_float_2) \
|
||||
FN(depth_to_space_float_2_relaxed) \
|
||||
FN(depth_to_space_float_3) \
|
||||
FN(depth_to_space_float_3_relaxed) \
|
||||
FN(depth_to_space_quant8_1) \
|
||||
FN(depth_to_space_quant8_2) \
|
||||
FN(depthwise_conv) \
|
||||
FN(depthwise_conv2d_float) \
|
||||
FN(depthwise_conv2d_float_2) \
|
||||
FN(depthwise_conv2d_float_2_relaxed) \
|
||||
FN(depthwise_conv2d_float_large) \
|
||||
FN(depthwise_conv2d_float_large_2) \
|
||||
FN(depthwise_conv2d_float_large_2_relaxed) \
|
||||
FN(depthwise_conv2d_float_large_2_weights_as_inputs) \
|
||||
FN(depthwise_conv2d_float_large_2_weights_as_inputs_relaxed) \
|
||||
FN(depthwise_conv2d_float_large_relaxed) \
|
||||
FN(depthwise_conv2d_float_large_weights_as_inputs) \
|
||||
FN(depthwise_conv2d_float_large_weights_as_inputs_relaxed) \
|
||||
FN(depthwise_conv2d_float_relaxed) \
|
||||
FN(depthwise_conv2d_float_weights_as_inputs) \
|
||||
FN(depthwise_conv2d_float_weights_as_inputs_relaxed) \
|
||||
FN(depthwise_conv2d_quant8) \
|
||||
FN(depthwise_conv2d_quant8_2) \
|
||||
FN(depthwise_conv2d_quant8_large) \
|
||||
FN(depthwise_conv2d_quant8_large_weights_as_inputs) \
|
||||
FN(depthwise_conv2d_quant8_weights_as_inputs) \
|
||||
FN(depthwise_conv_relaxed) \
|
||||
FN(dequantize) \
|
||||
FN(dequantize_relaxed) \
|
||||
FN(div) \
|
||||
FN(div_broadcast_float) \
|
||||
FN(div_broadcast_float_relaxed) \
|
||||
FN(div_relaxed) \
|
||||
FN(embedding_lookup) \
|
||||
FN(embedding_lookup_relaxed) \
|
||||
FN(floor) \
|
||||
FN(floor_relaxed) \
|
||||
FN(fully_connected_float) \
|
||||
FN(fully_connected_float_2) \
|
||||
FN(fully_connected_float_2_relaxed) \
|
||||
FN(fully_connected_float_4d_simple) \
|
||||
FN(fully_connected_float_4d_simple_relaxed) \
|
||||
FN(fully_connected_float_large) \
|
||||
FN(fully_connected_float_large_relaxed) \
|
||||
FN(fully_connected_float_large_weights_as_inputs) \
|
||||
FN(fully_connected_float_large_weights_as_inputs_relaxed) \
|
||||
FN(fully_connected_float_relaxed) \
|
||||
FN(fully_connected_float_weights_as_inputs) \
|
||||
FN(fully_connected_float_weights_as_inputs_relaxed) \
|
||||
FN(fully_connected_quant8) \
|
||||
FN(fully_connected_quant8_2) \
|
||||
FN(fully_connected_quant8_large) \
|
||||
FN(fully_connected_quant8_large_weights_as_inputs) \
|
||||
FN(fully_connected_quant8_weights_as_inputs) \
|
||||
FN(hashtable_lookup_float) \
|
||||
FN(hashtable_lookup_float_relaxed) \
|
||||
FN(hashtable_lookup_quant8) \
|
||||
FN(l2_normalization) \
|
||||
FN(l2_normalization_2) \
|
||||
FN(l2_normalization_2_relaxed) \
|
||||
FN(l2_normalization_large) \
|
||||
FN(l2_normalization_large_relaxed) \
|
||||
FN(l2_normalization_relaxed) \
|
||||
FN(l2_pool_float) \
|
||||
FN(l2_pool_float_2) \
|
||||
FN(l2_pool_float_2_relaxed) \
|
||||
FN(l2_pool_float_large) \
|
||||
FN(l2_pool_float_large_relaxed) \
|
||||
FN(l2_pool_float_relaxed) \
|
||||
FN(local_response_norm_float_1) \
|
||||
FN(local_response_norm_float_1_relaxed) \
|
||||
FN(local_response_norm_float_2) \
|
||||
FN(local_response_norm_float_2_relaxed) \
|
||||
FN(local_response_norm_float_3) \
|
||||
FN(local_response_norm_float_3_relaxed) \
|
||||
FN(local_response_norm_float_4) \
|
||||
FN(local_response_norm_float_4_relaxed) \
|
||||
FN(logistic_float_1) \
|
||||
FN(logistic_float_1_relaxed) \
|
||||
FN(logistic_float_2) \
|
||||
FN(logistic_float_2_relaxed) \
|
||||
FN(logistic_quant8_1) \
|
||||
FN(logistic_quant8_2) \
|
||||
FN(lsh_projection) \
|
||||
FN(lsh_projection_2) \
|
||||
FN(lsh_projection_2_relaxed) \
|
||||
FN(lsh_projection_relaxed) \
|
||||
FN(lsh_projection_weights_as_inputs) \
|
||||
FN(lsh_projection_weights_as_inputs_relaxed) \
|
||||
FN(lstm) \
|
||||
FN(lstm2) \
|
||||
FN(lstm2_relaxed) \
|
||||
FN(lstm2_state) \
|
||||
FN(lstm2_state2) \
|
||||
FN(lstm2_state2_relaxed) \
|
||||
FN(lstm2_state_relaxed) \
|
||||
FN(lstm3) \
|
||||
FN(lstm3_relaxed) \
|
||||
FN(lstm3_state) \
|
||||
FN(lstm3_state2) \
|
||||
FN(lstm3_state2_relaxed) \
|
||||
FN(lstm3_state3) \
|
||||
FN(lstm3_state3_relaxed) \
|
||||
FN(lstm3_state_relaxed) \
|
||||
FN(lstm_relaxed) \
|
||||
FN(lstm_state) \
|
||||
FN(lstm_state2) \
|
||||
FN(lstm_state2_relaxed) \
|
||||
FN(lstm_state_relaxed) \
|
||||
FN(max_pool_float_1) \
|
||||
FN(max_pool_float_1_relaxed) \
|
||||
FN(max_pool_float_2) \
|
||||
FN(max_pool_float_2_relaxed) \
|
||||
FN(max_pool_float_3) \
|
||||
FN(max_pool_float_3_relaxed) \
|
||||
FN(max_pool_float_4) \
|
||||
FN(max_pool_float_4_relaxed) \
|
||||
FN(max_pool_quant8_1) \
|
||||
FN(max_pool_quant8_2) \
|
||||
FN(max_pool_quant8_3) \
|
||||
FN(max_pool_quant8_4) \
|
||||
FN(mean) \
|
||||
FN(mean_float_1) \
|
||||
FN(mean_float_1_relaxed) \
|
||||
FN(mean_float_2) \
|
||||
FN(mean_float_2_relaxed) \
|
||||
FN(mean_quant8_1) \
|
||||
FN(mean_quant8_2) \
|
||||
FN(mean_relaxed) \
|
||||
FN(mobilenet_224_gender_basic_fixed) \
|
||||
FN(mobilenet_224_gender_basic_fixed_relaxed) \
|
||||
FN(mobilenet_quantized) \
|
||||
FN(mul) \
|
||||
FN(mul_broadcast_quant8) \
|
||||
FN(mul_quant8) \
|
||||
FN(mul_relaxed) \
|
||||
FN(mul_relu) \
|
||||
FN(mul_relu_relaxed) \
|
||||
FN(pad) \
|
||||
FN(pad_float_1) \
|
||||
FN(pad_float_1_relaxed) \
|
||||
FN(pad_relaxed) \
|
||||
FN(random_multinomial) \
|
||||
FN(relu1_float_1) \
|
||||
FN(relu1_float_1_relaxed) \
|
||||
FN(relu1_float_2) \
|
||||
FN(relu1_float_2_relaxed) \
|
||||
FN(relu1_quant8_1) \
|
||||
FN(relu1_quant8_2) \
|
||||
FN(relu6_float_1) \
|
||||
FN(relu6_float_1_relaxed) \
|
||||
FN(relu6_float_2) \
|
||||
FN(relu6_float_2_relaxed) \
|
||||
FN(relu6_quant8_1) \
|
||||
FN(relu6_quant8_2) \
|
||||
FN(relu_float_1) \
|
||||
FN(relu_float_1_relaxed) \
|
||||
FN(relu_float_2) \
|
||||
FN(relu_float_2_relaxed) \
|
||||
FN(relu_quant8_1) \
|
||||
FN(relu_quant8_2) \
|
||||
FN(reshape) \
|
||||
FN(reshape_quant8) \
|
||||
FN(reshape_quant8_weights_as_inputs) \
|
||||
FN(reshape_relaxed) \
|
||||
FN(reshape_weights_as_inputs) \
|
||||
FN(reshape_weights_as_inputs_relaxed) \
|
||||
FN(resize_bilinear) \
|
||||
FN(resize_bilinear_2) \
|
||||
FN(resize_bilinear_2_relaxed) \
|
||||
FN(resize_bilinear_relaxed) \
|
||||
FN(rnn) \
|
||||
FN(rnn_relaxed) \
|
||||
FN(rnn_state) \
|
||||
FN(rnn_state_relaxed) \
|
||||
FN(softmax_float_1) \
|
||||
FN(softmax_float_1_relaxed) \
|
||||
FN(softmax_float_2) \
|
||||
FN(softmax_float_2_relaxed) \
|
||||
FN(softmax_quant8_1) \
|
||||
FN(softmax_quant8_2) \
|
||||
FN(space_to_batch) \
|
||||
FN(space_to_batch_float_1) \
|
||||
FN(space_to_batch_float_1_relaxed) \
|
||||
FN(space_to_batch_float_2) \
|
||||
FN(space_to_batch_float_2_relaxed) \
|
||||
FN(space_to_batch_float_3) \
|
||||
FN(space_to_batch_float_3_relaxed) \
|
||||
FN(space_to_batch_quant8_1) \
|
||||
FN(space_to_batch_quant8_2) \
|
||||
FN(space_to_batch_quant8_3) \
|
||||
FN(space_to_batch_relaxed) \
|
||||
FN(space_to_depth_float_1) \
|
||||
FN(space_to_depth_float_1_relaxed) \
|
||||
FN(space_to_depth_float_2) \
|
||||
FN(space_to_depth_float_2_relaxed) \
|
||||
FN(space_to_depth_float_3) \
|
||||
FN(space_to_depth_float_3_relaxed) \
|
||||
FN(space_to_depth_quant8_1) \
|
||||
FN(space_to_depth_quant8_2) \
|
||||
FN(squeeze) \
|
||||
FN(squeeze_float_1) \
|
||||
FN(squeeze_float_1_relaxed) \
|
||||
FN(squeeze_quant8_1) \
|
||||
FN(squeeze_relaxed) \
|
||||
FN(strided_slice) \
|
||||
FN(strided_slice_float_1) \
|
||||
FN(strided_slice_float_10) \
|
||||
FN(strided_slice_float_10_relaxed) \
|
||||
FN(strided_slice_float_11) \
|
||||
FN(strided_slice_float_11_relaxed) \
|
||||
FN(strided_slice_float_1_relaxed) \
|
||||
FN(strided_slice_float_2) \
|
||||
FN(strided_slice_float_2_relaxed) \
|
||||
FN(strided_slice_float_3) \
|
||||
FN(strided_slice_float_3_relaxed) \
|
||||
FN(strided_slice_float_4) \
|
||||
FN(strided_slice_float_4_relaxed) \
|
||||
FN(strided_slice_float_5) \
|
||||
FN(strided_slice_float_5_relaxed) \
|
||||
FN(strided_slice_float_6) \
|
||||
FN(strided_slice_float_6_relaxed) \
|
||||
FN(strided_slice_float_7) \
|
||||
FN(strided_slice_float_7_relaxed) \
|
||||
FN(strided_slice_float_8) \
|
||||
FN(strided_slice_float_8_relaxed) \
|
||||
FN(strided_slice_float_9) \
|
||||
FN(strided_slice_float_9_relaxed) \
|
||||
FN(strided_slice_qaunt8_10) \
|
||||
FN(strided_slice_qaunt8_11) \
|
||||
FN(strided_slice_quant8_1) \
|
||||
FN(strided_slice_quant8_2) \
|
||||
FN(strided_slice_quant8_3) \
|
||||
FN(strided_slice_quant8_4) \
|
||||
FN(strided_slice_quant8_5) \
|
||||
FN(strided_slice_quant8_6) \
|
||||
FN(strided_slice_quant8_7) \
|
||||
FN(strided_slice_quant8_8) \
|
||||
FN(strided_slice_quant8_9) \
|
||||
FN(strided_slice_relaxed) \
|
||||
FN(sub) \
|
||||
FN(sub_broadcast_float) \
|
||||
FN(sub_broadcast_float_relaxed) \
|
||||
FN(sub_relaxed) \
|
||||
FN(svdf) \
|
||||
FN(svdf2) \
|
||||
FN(svdf2_relaxed) \
|
||||
FN(svdf_relaxed) \
|
||||
FN(svdf_state) \
|
||||
FN(svdf_state_relaxed) \
|
||||
FN(tanh) \
|
||||
FN(tanh_relaxed) \
|
||||
FN(transpose) \
|
||||
FN(transpose_float_1) \
|
||||
FN(transpose_float_1_relaxed) \
|
||||
FN(transpose_quant8_1) \
|
||||
FN(transpose_relaxed)
|
||||
#define FOR_EACH_TEST_MODEL(FN) FN(random_multinomial)
|
||||
|
||||
#define FORWARD_DECLARE_GENERATED_OBJECTS(function) \
|
||||
namespace function { \
|
||||
|
||||
202
neuralnetworks/1.2/vts/functional/ModelsV1_0.h
Normal file
202
neuralnetworks/1.2/vts/functional/ModelsV1_0.h
Normal file
@@ -0,0 +1,202 @@
|
||||
/*
|
||||
* Copyright (C) 2018 The Android Open Source Project
|
||||
*
|
||||
* Licensed under the Apache License, Version 2.0 (the "License");
|
||||
* you may not use this file except in compliance with the License.
|
||||
* You may obtain a copy of the License at
|
||||
*
|
||||
* http://www.apache.org/licenses/LICENSE-2.0
|
||||
*
|
||||
* Unless required by applicable law or agreed to in writing, software
|
||||
* distributed under the License is distributed on an "AS IS" BASIS,
|
||||
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
|
||||
* See the License for the specific language governing permissions and
|
||||
* limitations under the License.
|
||||
*/
|
||||
|
||||
#ifndef VTS_HAL_NEURALNETWORKS_V1_2_VTS_FUNCTIONAL_MODELS_V1_0_H
|
||||
#define VTS_HAL_NEURALNETWORKS_V1_2_VTS_FUNCTIONAL_MODELS_V1_0_H
|
||||
|
||||
#define LOG_TAG "neuralnetworks_hidl_hal_test"
|
||||
|
||||
#include "TestHarness.h"
|
||||
|
||||
#include <android/hardware/neuralnetworks/1.0/types.h>
|
||||
#include <android/hardware/neuralnetworks/1.1/types.h>
|
||||
#include <android/hardware/neuralnetworks/1.2/types.h>
|
||||
|
||||
namespace android {
|
||||
namespace hardware {
|
||||
namespace neuralnetworks {
|
||||
namespace V1_2 {
|
||||
namespace vts {
|
||||
namespace functional {
|
||||
|
||||
using MixedTypedExample = test_helper::MixedTypedExample;
|
||||
|
||||
#define FOR_EACH_TEST_MODEL(FN) \
|
||||
FN(add_broadcast_quant8) \
|
||||
FN(add) \
|
||||
FN(add_quant8) \
|
||||
FN(avg_pool_float_1) \
|
||||
FN(avg_pool_float_2) \
|
||||
FN(avg_pool_float_3) \
|
||||
FN(avg_pool_float_4) \
|
||||
FN(avg_pool_float_5) \
|
||||
FN(avg_pool_quant8_1) \
|
||||
FN(avg_pool_quant8_2) \
|
||||
FN(avg_pool_quant8_3) \
|
||||
FN(avg_pool_quant8_4) \
|
||||
FN(avg_pool_quant8_5) \
|
||||
FN(concat_float_1) \
|
||||
FN(concat_float_2) \
|
||||
FN(concat_float_3) \
|
||||
FN(concat_quant8_1) \
|
||||
FN(concat_quant8_2) \
|
||||
FN(concat_quant8_3) \
|
||||
FN(conv_1_h3_w2_SAME) \
|
||||
FN(conv_1_h3_w2_VALID) \
|
||||
FN(conv_3_h3_w2_SAME) \
|
||||
FN(conv_3_h3_w2_VALID) \
|
||||
FN(conv_float_2) \
|
||||
FN(conv_float_channels) \
|
||||
FN(conv_float_channels_weights_as_inputs) \
|
||||
FN(conv_float_large) \
|
||||
FN(conv_float_large_weights_as_inputs) \
|
||||
FN(conv_float) \
|
||||
FN(conv_float_weights_as_inputs) \
|
||||
FN(conv_quant8_2) \
|
||||
FN(conv_quant8_channels) \
|
||||
FN(conv_quant8_channels_weights_as_inputs) \
|
||||
FN(conv_quant8_large) \
|
||||
FN(conv_quant8_large_weights_as_inputs) \
|
||||
FN(conv_quant8) \
|
||||
FN(conv_quant8_overflow) \
|
||||
FN(conv_quant8_overflow_weights_as_inputs) \
|
||||
FN(conv_quant8_weights_as_inputs) \
|
||||
FN(depth_to_space_float_1) \
|
||||
FN(depth_to_space_float_2) \
|
||||
FN(depth_to_space_float_3) \
|
||||
FN(depth_to_space_quant8_1) \
|
||||
FN(depth_to_space_quant8_2) \
|
||||
FN(depthwise_conv2d_float_2) \
|
||||
FN(depthwise_conv2d_float_large_2) \
|
||||
FN(depthwise_conv2d_float_large_2_weights_as_inputs) \
|
||||
FN(depthwise_conv2d_float_large) \
|
||||
FN(depthwise_conv2d_float_large_weights_as_inputs) \
|
||||
FN(depthwise_conv2d_float) \
|
||||
FN(depthwise_conv2d_float_weights_as_inputs) \
|
||||
FN(depthwise_conv2d_quant8_2) \
|
||||
FN(depthwise_conv2d_quant8_large) \
|
||||
FN(depthwise_conv2d_quant8_large_weights_as_inputs) \
|
||||
FN(depthwise_conv2d_quant8) \
|
||||
FN(depthwise_conv2d_quant8_weights_as_inputs) \
|
||||
FN(depthwise_conv) \
|
||||
FN(dequantize) \
|
||||
FN(embedding_lookup) \
|
||||
FN(floor) \
|
||||
FN(fully_connected_float_2) \
|
||||
FN(fully_connected_float_large) \
|
||||
FN(fully_connected_float_large_weights_as_inputs) \
|
||||
FN(fully_connected_float) \
|
||||
FN(fully_connected_float_weights_as_inputs) \
|
||||
FN(fully_connected_quant8_2) \
|
||||
FN(fully_connected_quant8_large) \
|
||||
FN(fully_connected_quant8_large_weights_as_inputs) \
|
||||
FN(fully_connected_quant8) \
|
||||
FN(fully_connected_quant8_weights_as_inputs) \
|
||||
FN(hashtable_lookup_float) \
|
||||
FN(hashtable_lookup_quant8) \
|
||||
FN(l2_normalization_2) \
|
||||
FN(l2_normalization_large) \
|
||||
FN(l2_normalization) \
|
||||
FN(l2_pool_float_2) \
|
||||
FN(l2_pool_float_large) \
|
||||
FN(l2_pool_float) \
|
||||
FN(local_response_norm_float_1) \
|
||||
FN(local_response_norm_float_2) \
|
||||
FN(local_response_norm_float_3) \
|
||||
FN(local_response_norm_float_4) \
|
||||
FN(logistic_float_1) \
|
||||
FN(logistic_float_2) \
|
||||
FN(logistic_quant8_1) \
|
||||
FN(logistic_quant8_2) \
|
||||
FN(lsh_projection_2) \
|
||||
FN(lsh_projection) \
|
||||
FN(lsh_projection_weights_as_inputs) \
|
||||
FN(lstm2) \
|
||||
FN(lstm2_state2) \
|
||||
FN(lstm2_state) \
|
||||
FN(lstm3) \
|
||||
FN(lstm3_state2) \
|
||||
FN(lstm3_state3) \
|
||||
FN(lstm3_state) \
|
||||
FN(lstm) \
|
||||
FN(lstm_state2) \
|
||||
FN(lstm_state) \
|
||||
FN(max_pool_float_1) \
|
||||
FN(max_pool_float_2) \
|
||||
FN(max_pool_float_3) \
|
||||
FN(max_pool_float_4) \
|
||||
FN(max_pool_quant8_1) \
|
||||
FN(max_pool_quant8_2) \
|
||||
FN(max_pool_quant8_3) \
|
||||
FN(max_pool_quant8_4) \
|
||||
FN(mobilenet_224_gender_basic_fixed) \
|
||||
FN(mobilenet_quantized) \
|
||||
FN(mul_broadcast_quant8) \
|
||||
FN(mul) \
|
||||
FN(mul_quant8) \
|
||||
FN(mul_relu) \
|
||||
FN(relu1_float_1) \
|
||||
FN(relu1_float_2) \
|
||||
FN(relu1_quant8_1) \
|
||||
FN(relu1_quant8_2) \
|
||||
FN(relu6_float_1) \
|
||||
FN(relu6_float_2) \
|
||||
FN(relu6_quant8_1) \
|
||||
FN(relu6_quant8_2) \
|
||||
FN(relu_float_1) \
|
||||
FN(relu_float_2) \
|
||||
FN(relu_quant8_1) \
|
||||
FN(relu_quant8_2) \
|
||||
FN(reshape) \
|
||||
FN(reshape_quant8) \
|
||||
FN(reshape_quant8_weights_as_inputs) \
|
||||
FN(reshape_weights_as_inputs) \
|
||||
FN(resize_bilinear_2) \
|
||||
FN(resize_bilinear) \
|
||||
FN(rnn) \
|
||||
FN(rnn_state) \
|
||||
FN(softmax_float_1) \
|
||||
FN(softmax_float_2) \
|
||||
FN(softmax_quant8_1) \
|
||||
FN(softmax_quant8_2) \
|
||||
FN(space_to_depth_float_1) \
|
||||
FN(space_to_depth_float_2) \
|
||||
FN(space_to_depth_float_3) \
|
||||
FN(space_to_depth_quant8_1) \
|
||||
FN(space_to_depth_quant8_2) \
|
||||
FN(svdf2) \
|
||||
FN(svdf) \
|
||||
FN(svdf_state) \
|
||||
FN(tanh)
|
||||
|
||||
#define FORWARD_DECLARE_GENERATED_OBJECTS(function) \
|
||||
namespace function { \
|
||||
extern std::vector<MixedTypedExample> examples; \
|
||||
Model createTestModel(); \
|
||||
}
|
||||
|
||||
FOR_EACH_TEST_MODEL(FORWARD_DECLARE_GENERATED_OBJECTS)
|
||||
|
||||
#undef FORWARD_DECLARE_GENERATED_OBJECTS
|
||||
|
||||
} // namespace functional
|
||||
} // namespace vts
|
||||
} // namespace V1_2
|
||||
} // namespace neuralnetworks
|
||||
} // namespace hardware
|
||||
} // namespace android
|
||||
|
||||
#endif // VTS_HAL_NEURALNETWORKS_V1_2_VTS_FUNCTIONAL_MODELS_V1_0_H
|
||||
230
neuralnetworks/1.2/vts/functional/ModelsV1_1.h
Normal file
230
neuralnetworks/1.2/vts/functional/ModelsV1_1.h
Normal file
@@ -0,0 +1,230 @@
|
||||
/*
|
||||
* Copyright (C) 2018 The Android Open Source Project
|
||||
*
|
||||
* Licensed under the Apache License, Version 2.0 (the "License");
|
||||
* you may not use this file except in compliance with the License.
|
||||
* You may obtain a copy of the License at
|
||||
*
|
||||
* http://www.apache.org/licenses/LICENSE-2.0
|
||||
*
|
||||
* Unless required by applicable law or agreed to in writing, software
|
||||
* distributed under the License is distributed on an "AS IS" BASIS,
|
||||
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
|
||||
* See the License for the specific language governing permissions and
|
||||
* limitations under the License.
|
||||
*/
|
||||
|
||||
#ifndef VTS_HAL_NEURALNETWORKS_V1_1_VTS_FUNCTIONAL_MODELS_H
|
||||
#define VTS_HAL_NEURALNETWORKS_V1_1_VTS_FUNCTIONAL_MODELS_H
|
||||
|
||||
#define LOG_TAG "neuralnetworks_hidl_hal_test"
|
||||
|
||||
#include "TestHarness.h"
|
||||
|
||||
#include <android/hardware/neuralnetworks/1.2/types.h>
|
||||
|
||||
namespace android {
|
||||
namespace hardware {
|
||||
namespace neuralnetworks {
|
||||
namespace V1_2 {
|
||||
namespace vts {
|
||||
namespace functional {
|
||||
|
||||
using MixedTypedExample = test_helper::MixedTypedExample;
|
||||
|
||||
#define FOR_EACH_TEST_MODEL(FN) \
|
||||
FN(add_relaxed) \
|
||||
FN(avg_pool_float_1_relaxed) \
|
||||
FN(avg_pool_float_2_relaxed) \
|
||||
FN(avg_pool_float_3_relaxed) \
|
||||
FN(avg_pool_float_4_relaxed) \
|
||||
FN(avg_pool_float_5_relaxed) \
|
||||
FN(batch_to_space) \
|
||||
FN(batch_to_space_float_1) \
|
||||
FN(batch_to_space_float_1_relaxed) \
|
||||
FN(batch_to_space_quant8_1) \
|
||||
FN(batch_to_space_relaxed) \
|
||||
FN(concat_float_1_relaxed) \
|
||||
FN(concat_float_2_relaxed) \
|
||||
FN(concat_float_3_relaxed) \
|
||||
FN(conv_1_h3_w2_SAME_relaxed) \
|
||||
FN(conv_1_h3_w2_VALID_relaxed) \
|
||||
FN(conv_3_h3_w2_SAME_relaxed) \
|
||||
FN(conv_3_h3_w2_VALID_relaxed) \
|
||||
FN(conv_float_2_relaxed) \
|
||||
FN(conv_float_channels_relaxed) \
|
||||
FN(conv_float_channels_weights_as_inputs_relaxed) \
|
||||
FN(conv_float_large_relaxed) \
|
||||
FN(conv_float_large_weights_as_inputs_relaxed) \
|
||||
FN(conv_float_relaxed) \
|
||||
FN(conv_float_weights_as_inputs_relaxed) \
|
||||
FN(depth_to_space_float_1_relaxed) \
|
||||
FN(depth_to_space_float_2_relaxed) \
|
||||
FN(depth_to_space_float_3_relaxed) \
|
||||
FN(depthwise_conv2d_float_2_relaxed) \
|
||||
FN(depthwise_conv2d_float_large_2_relaxed) \
|
||||
FN(depthwise_conv2d_float_large_2_weights_as_inputs_relaxed) \
|
||||
FN(depthwise_conv2d_float_large_relaxed) \
|
||||
FN(depthwise_conv2d_float_large_weights_as_inputs_relaxed) \
|
||||
FN(depthwise_conv2d_float_relaxed) \
|
||||
FN(depthwise_conv2d_float_weights_as_inputs_relaxed) \
|
||||
FN(depthwise_conv_relaxed) \
|
||||
FN(dequantize_relaxed) \
|
||||
FN(div) \
|
||||
FN(div_broadcast_float) \
|
||||
FN(div_broadcast_float_relaxed) \
|
||||
FN(div_relaxed) \
|
||||
FN(embedding_lookup_relaxed) \
|
||||
FN(floor_relaxed) \
|
||||
FN(fully_connected_float_2_relaxed) \
|
||||
FN(fully_connected_float_4d_simple) \
|
||||
FN(fully_connected_float_4d_simple_relaxed) \
|
||||
FN(fully_connected_float_large_relaxed) \
|
||||
FN(fully_connected_float_large_weights_as_inputs_relaxed) \
|
||||
FN(fully_connected_float_relaxed) \
|
||||
FN(fully_connected_float_weights_as_inputs_relaxed) \
|
||||
FN(hashtable_lookup_float_relaxed) \
|
||||
FN(l2_normalization_2_relaxed) \
|
||||
FN(l2_normalization_large_relaxed) \
|
||||
FN(l2_normalization_relaxed) \
|
||||
FN(l2_pool_float_2_relaxed) \
|
||||
FN(l2_pool_float_large_relaxed) \
|
||||
FN(l2_pool_float_relaxed) \
|
||||
FN(local_response_norm_float_1_relaxed) \
|
||||
FN(local_response_norm_float_2_relaxed) \
|
||||
FN(local_response_norm_float_3_relaxed) \
|
||||
FN(local_response_norm_float_4_relaxed) \
|
||||
FN(logistic_float_1_relaxed) \
|
||||
FN(logistic_float_2_relaxed) \
|
||||
FN(lsh_projection_2_relaxed) \
|
||||
FN(lsh_projection_relaxed) \
|
||||
FN(lsh_projection_weights_as_inputs_relaxed) \
|
||||
FN(lstm2_relaxed) \
|
||||
FN(lstm2_state2_relaxed) \
|
||||
FN(lstm2_state_relaxed) \
|
||||
FN(lstm3_relaxed) \
|
||||
FN(lstm3_state2_relaxed) \
|
||||
FN(lstm3_state3_relaxed) \
|
||||
FN(lstm3_state_relaxed) \
|
||||
FN(lstm_relaxed) \
|
||||
FN(lstm_state2_relaxed) \
|
||||
FN(lstm_state_relaxed) \
|
||||
FN(max_pool_float_1_relaxed) \
|
||||
FN(max_pool_float_2_relaxed) \
|
||||
FN(max_pool_float_3_relaxed) \
|
||||
FN(max_pool_float_4_relaxed) \
|
||||
FN(mean) \
|
||||
FN(mean_float_1) \
|
||||
FN(mean_float_1_relaxed) \
|
||||
FN(mean_float_2) \
|
||||
FN(mean_float_2_relaxed) \
|
||||
FN(mean_quant8_1) \
|
||||
FN(mean_quant8_2) \
|
||||
FN(mean_relaxed) \
|
||||
FN(mobilenet_224_gender_basic_fixed_relaxed) \
|
||||
FN(mul_relaxed) \
|
||||
FN(mul_relu_relaxed) \
|
||||
FN(pad) \
|
||||
FN(pad_float_1) \
|
||||
FN(pad_float_1_relaxed) \
|
||||
FN(pad_relaxed) \
|
||||
FN(relu1_float_1_relaxed) \
|
||||
FN(relu1_float_2_relaxed) \
|
||||
FN(relu6_float_1_relaxed) \
|
||||
FN(relu6_float_2_relaxed) \
|
||||
FN(relu_float_1_relaxed) \
|
||||
FN(relu_float_2_relaxed) \
|
||||
FN(reshape_relaxed) \
|
||||
FN(reshape_weights_as_inputs_relaxed) \
|
||||
FN(resize_bilinear_2_relaxed) \
|
||||
FN(resize_bilinear_relaxed) \
|
||||
FN(rnn_relaxed) \
|
||||
FN(rnn_state_relaxed) \
|
||||
FN(softmax_float_1_relaxed) \
|
||||
FN(softmax_float_2_relaxed) \
|
||||
FN(space_to_batch) \
|
||||
FN(space_to_batch_float_1) \
|
||||
FN(space_to_batch_float_1_relaxed) \
|
||||
FN(space_to_batch_float_2) \
|
||||
FN(space_to_batch_float_2_relaxed) \
|
||||
FN(space_to_batch_float_3) \
|
||||
FN(space_to_batch_float_3_relaxed) \
|
||||
FN(space_to_batch_quant8_1) \
|
||||
FN(space_to_batch_quant8_2) \
|
||||
FN(space_to_batch_quant8_3) \
|
||||
FN(space_to_batch_relaxed) \
|
||||
FN(space_to_depth_float_1_relaxed) \
|
||||
FN(space_to_depth_float_2_relaxed) \
|
||||
FN(space_to_depth_float_3_relaxed) \
|
||||
FN(squeeze) \
|
||||
FN(squeeze_float_1) \
|
||||
FN(squeeze_float_1_relaxed) \
|
||||
FN(squeeze_quant8_1) \
|
||||
FN(squeeze_relaxed) \
|
||||
FN(strided_slice) \
|
||||
FN(strided_slice_float_1) \
|
||||
FN(strided_slice_float_10) \
|
||||
FN(strided_slice_float_10_relaxed) \
|
||||
FN(strided_slice_float_11) \
|
||||
FN(strided_slice_float_11_relaxed) \
|
||||
FN(strided_slice_float_1_relaxed) \
|
||||
FN(strided_slice_float_2) \
|
||||
FN(strided_slice_float_2_relaxed) \
|
||||
FN(strided_slice_float_3) \
|
||||
FN(strided_slice_float_3_relaxed) \
|
||||
FN(strided_slice_float_4) \
|
||||
FN(strided_slice_float_4_relaxed) \
|
||||
FN(strided_slice_float_5) \
|
||||
FN(strided_slice_float_5_relaxed) \
|
||||
FN(strided_slice_float_6) \
|
||||
FN(strided_slice_float_6_relaxed) \
|
||||
FN(strided_slice_float_7) \
|
||||
FN(strided_slice_float_7_relaxed) \
|
||||
FN(strided_slice_float_8) \
|
||||
FN(strided_slice_float_8_relaxed) \
|
||||
FN(strided_slice_float_9) \
|
||||
FN(strided_slice_float_9_relaxed) \
|
||||
FN(strided_slice_qaunt8_10) \
|
||||
FN(strided_slice_qaunt8_11) \
|
||||
FN(strided_slice_quant8_1) \
|
||||
FN(strided_slice_quant8_2) \
|
||||
FN(strided_slice_quant8_3) \
|
||||
FN(strided_slice_quant8_4) \
|
||||
FN(strided_slice_quant8_5) \
|
||||
FN(strided_slice_quant8_6) \
|
||||
FN(strided_slice_quant8_7) \
|
||||
FN(strided_slice_quant8_8) \
|
||||
FN(strided_slice_quant8_9) \
|
||||
FN(strided_slice_relaxed) \
|
||||
FN(sub) \
|
||||
FN(sub_broadcast_float) \
|
||||
FN(sub_broadcast_float_relaxed) \
|
||||
FN(sub_relaxed) \
|
||||
FN(svdf2_relaxed) \
|
||||
FN(svdf_relaxed) \
|
||||
FN(svdf_state_relaxed) \
|
||||
FN(tanh_relaxed) \
|
||||
FN(transpose) \
|
||||
FN(transpose_float_1) \
|
||||
FN(transpose_float_1_relaxed) \
|
||||
FN(transpose_quant8_1) \
|
||||
FN(transpose_relaxed)
|
||||
|
||||
#define FORWARD_DECLARE_GENERATED_OBJECTS(function) \
|
||||
namespace function { \
|
||||
extern std::vector<MixedTypedExample> examples; \
|
||||
Model createTestModel(); \
|
||||
}
|
||||
|
||||
FOR_EACH_TEST_MODEL(FORWARD_DECLARE_GENERATED_OBJECTS)
|
||||
|
||||
#undef FORWARD_DECLARE_GENERATED_OBJECTS
|
||||
|
||||
} // namespace functional
|
||||
} // namespace vts
|
||||
} // namespace V1_2
|
||||
} // namespace neuralnetworks
|
||||
} // namespace hardware
|
||||
} // namespace android
|
||||
|
||||
#endif // VTS_HAL_NEURALNETWORKS_V1_2_VTS_FUNCTIONAL_MODELS_V1_1_H
|
||||
50
neuralnetworks/1.2/vts/functional/ValidationTestsV1_0.cpp
Normal file
50
neuralnetworks/1.2/vts/functional/ValidationTestsV1_0.cpp
Normal file
@@ -0,0 +1,50 @@
|
||||
/*
|
||||
* Copyright (C) 2018 The Android Open Source Project
|
||||
*
|
||||
* Licensed under the Apache License, Version 2.0 (the "License");
|
||||
* you may not use this file except in compliance with the License.
|
||||
* You may obtain a copy of the License at
|
||||
*
|
||||
* http://www.apache.org/licenses/LICENSE-2.0
|
||||
*
|
||||
* Unless required by applicable law or agreed to in writing, software
|
||||
* distributed under the License is distributed on an "AS IS" BASIS,
|
||||
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
|
||||
* See the License for the specific language governing permissions and
|
||||
* limitations under the License.
|
||||
*/
|
||||
|
||||
#define LOG_TAG "neuralnetworks_hidl_hal_test"
|
||||
|
||||
#include "ModelsV1_0.h"
|
||||
#include "VtsHalNeuralnetworks.h"
|
||||
|
||||
namespace android {
|
||||
namespace hardware {
|
||||
namespace neuralnetworks {
|
||||
namespace V1_2 {
|
||||
namespace vts {
|
||||
namespace functional {
|
||||
|
||||
// forward declarations
|
||||
std::vector<Request> createRequests(const std::vector<MixedTypedExample>& examples);
|
||||
|
||||
// generate validation tests
|
||||
#define VTS_CURRENT_TEST_CASE(TestName) \
|
||||
TEST_F(ValidationTest, TestName) { \
|
||||
const Model model = TestName::createTestModel(); \
|
||||
const std::vector<Request> requests = createRequests(TestName::examples); \
|
||||
validateModel(model); \
|
||||
validateRequests(model, requests); \
|
||||
}
|
||||
|
||||
FOR_EACH_TEST_MODEL(VTS_CURRENT_TEST_CASE)
|
||||
|
||||
#undef VTS_CURRENT_TEST_CASE
|
||||
|
||||
} // namespace functional
|
||||
} // namespace vts
|
||||
} // namespace V1_2
|
||||
} // namespace neuralnetworks
|
||||
} // namespace hardware
|
||||
} // namespace android
|
||||
50
neuralnetworks/1.2/vts/functional/ValidationTestsV1_1.cpp
Normal file
50
neuralnetworks/1.2/vts/functional/ValidationTestsV1_1.cpp
Normal file
@@ -0,0 +1,50 @@
|
||||
/*
|
||||
* Copyright (C) 2018 The Android Open Source Project
|
||||
*
|
||||
* Licensed under the Apache License, Version 2.0 (the "License");
|
||||
* you may not use this file except in compliance with the License.
|
||||
* You may obtain a copy of the License at
|
||||
*
|
||||
* http://www.apache.org/licenses/LICENSE-2.0
|
||||
*
|
||||
* Unless required by applicable law or agreed to in writing, software
|
||||
* distributed under the License is distributed on an "AS IS" BASIS,
|
||||
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
|
||||
* See the License for the specific language governing permissions and
|
||||
* limitations under the License.
|
||||
*/
|
||||
|
||||
#define LOG_TAG "neuralnetworks_hidl_hal_test"
|
||||
|
||||
#include "ModelsV1_1.h"
|
||||
#include "VtsHalNeuralnetworks.h"
|
||||
|
||||
namespace android {
|
||||
namespace hardware {
|
||||
namespace neuralnetworks {
|
||||
namespace V1_2 {
|
||||
namespace vts {
|
||||
namespace functional {
|
||||
|
||||
// forward declarations
|
||||
std::vector<Request> createRequests(const std::vector<MixedTypedExample>& examples);
|
||||
|
||||
// generate validation tests
|
||||
#define VTS_CURRENT_TEST_CASE(TestName) \
|
||||
TEST_F(ValidationTest, TestName) { \
|
||||
const Model model = TestName::createTestModel(); \
|
||||
const std::vector<Request> requests = createRequests(TestName::examples); \
|
||||
validateModel(model); \
|
||||
validateRequests(model, requests); \
|
||||
}
|
||||
|
||||
FOR_EACH_TEST_MODEL(VTS_CURRENT_TEST_CASE)
|
||||
|
||||
#undef VTS_CURRENT_TEST_CASE
|
||||
|
||||
} // namespace functional
|
||||
} // namespace vts
|
||||
} // namespace V1_2
|
||||
} // namespace neuralnetworks
|
||||
} // namespace hardware
|
||||
} // namespace android
|
||||
Reference in New Issue
Block a user