Merge "Use old version of IGBP and bufferpool"
diff --git a/bluetooth/OWNERS b/bluetooth/OWNERS
index a143df2..3fa1def 100644
--- a/bluetooth/OWNERS
+++ b/bluetooth/OWNERS
@@ -1 +1 @@
-per-file */vts/* = siyuanh@google.com, mylesgw@google.com, jpawlowski@google.com, apanicke@google.com, stng@google.com, hsz@google.com
+per-file **/vts/** = siyuanh@google.com, mylesgw@google.com, jpawlowski@google.com, apanicke@google.com, stng@google.com, hsz@google.com
diff --git a/drm/1.2/Android.bp b/drm/1.2/Android.bp
new file mode 100644
index 0000000..66a1bd8
--- /dev/null
+++ b/drm/1.2/Android.bp
@@ -0,0 +1,26 @@
+// This file is autogenerated by hidl-gen -Landroidbp.
+
+hidl_interface {
+ name: "android.hardware.drm@1.2",
+ root: "android.hardware",
+ vndk: {
+ enabled: true,
+ },
+ srcs: [
+ "types.hal",
+ "ICryptoFactory.hal",
+ "IDrmFactory.hal",
+ "IDrmPlugin.hal",
+ ],
+ interfaces: [
+ "android.hardware.drm@1.0",
+ "android.hardware.drm@1.1",
+ "android.hidl.base@1.0",
+ ],
+ types: [
+ "KeySetId",
+ "OfflineLicenseState",
+ ],
+ gen_java: false,
+}
+
diff --git a/drm/1.2/ICryptoFactory.hal b/drm/1.2/ICryptoFactory.hal
new file mode 100644
index 0000000..c4a9b4b
--- /dev/null
+++ b/drm/1.2/ICryptoFactory.hal
@@ -0,0 +1,35 @@
+/*
+ * 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.
+ */
+package android.hardware.drm@1.2;
+
+import @1.1::ICryptoFactory;
+
+/**
+ * ICryptoFactory is the main entry point for interacting with a vendor's
+ * crypto HAL to create crypto plugins. Crypto plugins create crypto sessions
+ * which are used by a codec to decrypt protected video content.
+ *
+ * The 1.2 factory must always create 1.2 ICryptoPlugin interfaces, which are
+ * returned via the 1.0 createPlugin method.
+ *
+ * To use 1.2 features the caller must cast the returned interface to a
+ * 1.2 HAL, using V1_2::IDrmPlugin::castFrom().
+ *
+ * The ICryptoFactory hal is required because all top-level interfaces
+ * have to be updated in a minor uprev.
+ */
+interface ICryptoFactory extends @1.1::ICryptoFactory {
+};
diff --git a/drm/1.2/IDrmFactory.hal b/drm/1.2/IDrmFactory.hal
new file mode 100644
index 0000000..c94e4bb
--- /dev/null
+++ b/drm/1.2/IDrmFactory.hal
@@ -0,0 +1,38 @@
+/*
+ * 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.
+ */
+package android.hardware.drm@1.2;
+
+import @1.1::IDrmFactory;
+import @1.1::IDrmPlugin;
+
+/**
+ * IDrmFactory is the main entry point for interacting with a vendor's
+ * drm HAL to create drm plugin instances. A drm plugin instance
+ * creates drm sessions which are used to obtain keys for a crypto
+ * session so it can decrypt protected video content.
+ *
+ * The 1.2 factory must always create 1.2 IDrmPlugin interfaces, which are
+ * returned via the 1.0 createPlugin method.
+ *
+ * To use 1.2 features the caller must cast the returned interface to a
+ * 1.2 HAL, using V1_2::IDrmPlugin::castFrom().
+ *
+ * The IDrmFactory hal is required because all top-level interfaces
+ * have to be updated in a minor uprev.
+ */
+
+interface IDrmFactory extends @1.1::IDrmFactory {
+};
diff --git a/drm/1.2/IDrmPlugin.hal b/drm/1.2/IDrmPlugin.hal
new file mode 100644
index 0000000..88338d6
--- /dev/null
+++ b/drm/1.2/IDrmPlugin.hal
@@ -0,0 +1,94 @@
+/**
+ * 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.
+ */
+package android.hardware.drm@1.2;
+
+import @1.1::IDrmPlugin;
+import @1.0::Status;
+
+/**
+ * IDrmPlugin is used to interact with a specific drm plugin that was created by
+ * IDrm::createPlugin. A drm plugin provides methods for obtaining drm keys that
+ * may be used by a codec to decrypt protected video content.
+ */
+interface IDrmPlugin extends @1.1::IDrmPlugin {
+
+ /**
+ * The keys in an offline license allow protected content to be
+ * played even if the device is not connected to a network.
+ * Offline licenses are stored on the device after a key
+ * request/response exchange when the key request KeyType is
+ * OFFLINE. Normally each app is responsible for keeping track of
+ * the KeySetIds it has created. In some situations however, it
+ * may be necessary to request the list of stored offline license
+ * KeySetIds. If an app loses the KeySetId for any stored licenses
+ * that it created, for example, it must be able to recover the
+ * stored KeySetIds so those licenses can be removed when they
+ * expire or when the app is uninstalled.
+ * <p>
+ * This method returns a list of the KeySetIds for all offline
+ * licenses. The offline license KeySetId may be used to query
+ * the status of an offline license or remove it.
+ *
+ * @return status the status of the call. May be OK or
+ * ERROR_DRM_INVALID_STATE if the HAL is in a state where the
+ * KeySetIds can't be returned.
+ * @return a list of offline license keySetIds. If there are no offline
+ * licenses, the list must be empty and OK must be returned as the
+ * status.
+ */
+ getOfflineLicenseKeySetIds() generates (Status status, vec<KeySetId> keySetIds);
+
+ /**
+ * Normally offline licenses are released using a key
+ * request/response exchange using getKeyRequest where the KeyType
+ * is RELEASE, followed by provideKeyResponse. This allows the
+ * server to cryptographically confirm that the license has been
+ * removed and then adjust the count of offline licenses allocated
+ * to the device.
+ * <p>
+ * In some exceptional situations it may be necessary to directly
+ * remove offline licenses without notifying the server, which may
+ * be performed using this method.
+ *
+ * @param keySetId the id of the offline license to remove
+ * @return status the status of the call. May be one of OK on
+ * success, BAD_VALUE if the license is not found or
+ * ERROR_DRM_INVALID_STATE if the HAL is in a state where the
+ * KeySetIds can't be returned.
+ */
+ removeOfflineLicense(KeySetId keySetId) generates (Status status);
+
+ /**
+ * Request the state of an offline license. An offline license may
+ * be usable or inactive. The keys in a usable offline license are
+ * available for decryption. When the offline license state is
+ * inactive, the keys have been marked for release using
+ * getKeyRequest with KeyType RELEASE but the key response has not
+ * been received. The keys in an inactive offline license are not
+ * usable for decryption.
+ *
+ * @param keySetId the id of the offline license
+ * @return status the status of the call. May be one of OK on
+ * success, BAD_VALUE if the license is not found or
+ * ERROR_DRM_INVALID_STATE if the HAL is in a state where the
+ * offline license state can't be queried.
+ * @return the offline license state, one of USABLE or INACTIVE.
+ * If the return status is not OK then state must be set to
+ * UNKNOWN.
+ */
+ getOfflineLicenseState(KeySetId keySetId) generates (Status status,
+ OfflineLicenseState state);
+};
diff --git a/drm/1.2/types.hal b/drm/1.2/types.hal
new file mode 100644
index 0000000..8770c79
--- /dev/null
+++ b/drm/1.2/types.hal
@@ -0,0 +1,45 @@
+/**
+ * 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.
+ */
+
+package android.hardware.drm@1.2;
+
+enum OfflineLicenseState : uint32_t {
+ /**
+ * Offline license state is unknown
+ */
+ UNKNOWN,
+
+ /**
+ * Offline license state is usable, the keys may be used for decryption.
+ */
+ USABLE,
+
+ /**
+ * Offline license state is inactive, the keys have been marked for
+ * release using {@link #getKeyRequest} with KEY_TYPE_RELEASE but the
+ * key response has not been received.
+ */
+ INACTIVE
+};
+
+/**
+ * KeySetId is an identifier that references a set of keys in an
+ * offline license. The keySetId is created by the HAL implementation
+ * and returned from provideKeyResponse and getOfflineLicenseIds. The
+ * framework passes KeySetId back to the HAL when referring to the key
+ * set in methods that take a KeySetId as an input parameter.
+ */
+typedef vec<uint8_t> KeySetId;
diff --git a/keymaster/4.0/support/authorization_set.cpp b/keymaster/4.0/support/authorization_set.cpp
index 10d272a..b6cba61 100644
--- a/keymaster/4.0/support/authorization_set.cpp
+++ b/keymaster/4.0/support/authorization_set.cpp
@@ -261,9 +261,8 @@
template <>
struct choose_serializer<> {
static OutStreams& serialize(OutStreams& out, const KeyParameter& param) {
- LOG(FATAL) << "Trying to serialize unknown tag " << unsigned(param.tag)
+ LOG(ERROR) << "Trying to serialize unknown tag " << unsigned(param.tag)
<< ". Did you forget to add it to all_tags_t?";
- abort();
return out;
}
};
diff --git a/neuralnetworks/1.0/vts/functional/Android.bp b/neuralnetworks/1.0/vts/functional/Android.bp
index 1b5e338..234527a 100644
--- a/neuralnetworks/1.0/vts/functional/Android.bp
+++ b/neuralnetworks/1.0/vts/functional/Android.bp
@@ -80,6 +80,5 @@
srcs: [
"BasicTests.cpp",
"GeneratedTests.cpp",
- "ValidationTests.cpp",
],
}
diff --git a/neuralnetworks/1.0/vts/functional/GeneratedTestHarness.cpp b/neuralnetworks/1.0/vts/functional/GeneratedTestHarness.cpp
index 1f66c43..802d018 100644
--- a/neuralnetworks/1.0/vts/functional/GeneratedTestHarness.cpp
+++ b/neuralnetworks/1.0/vts/functional/GeneratedTestHarness.cpp
@@ -45,6 +45,7 @@
using ::test_helper::Int32Operands;
using ::test_helper::MixedTyped;
using ::test_helper::MixedTypedExample;
+using ::test_helper::MixedTypedIndex;
using ::test_helper::Quant8Operands;
using ::test_helper::resize_accordingly;
@@ -63,14 +64,16 @@
copy_back_<int32_t>(dst, ra, src);
copy_back_<uint8_t>(dst, ra, src);
copy_back_<int16_t>(dst, ra, src);
- static_assert(4 == std::tuple_size<MixedTyped>::value,
+ copy_back_<_Float16>(dst, ra, src);
+ static_assert(5 == std::tuple_size<MixedTyped>::value,
"Number of types in MixedTyped changed, but copy_back function wasn't updated");
}
// Top level driver for models and examples generated by test_generator.py
// Test driver for those generated from ml/nn/runtime/test/spec
void EvaluatePreparedModel(sp<IPreparedModel>& preparedModel, std::function<bool(int)> is_ignored,
- const std::vector<MixedTypedExample>& examples, float fpAtol = 1e-5f,
+ const std::vector<MixedTypedExample>& examples,
+ bool hasRelaxedFloat32Model = false, float fpAtol = 1e-5f,
float fpRtol = 1e-5f) {
const uint32_t INPUT = 0;
const uint32_t OUTPUT = 1;
@@ -78,13 +81,20 @@
int example_no = 1;
for (auto& example : examples) {
SCOPED_TRACE(example_no++);
-
const MixedTyped& inputs = example.operands.first;
const MixedTyped& golden = example.operands.second;
+ const bool hasFloat16Inputs = !std::get<MixedTypedIndex<_Float16>::index>(inputs).empty();
+ if (hasRelaxedFloat32Model || hasFloat16Inputs) {
+ // TODO: Adjust the error limit based on testing.
+ // If in relaxed mode, set the absolute tolerance to be 5ULP of FP16.
+ fpAtol = 5.0f * 0.0009765625f;
+ // Set the relative tolerance to be 5ULP of the corresponding FP precision.
+ fpRtol = 5.0f * 0.0009765625f;
+ }
+
std::vector<RequestArgument> inputs_info, outputs_info;
uint32_t inputSize = 0, outputSize = 0;
-
// This function only partially specifies the metadata (vector of RequestArguments).
// The contents are copied over below.
for_all(inputs, [&inputs_info, &inputSize](int index, auto, auto s) {
@@ -228,7 +238,8 @@
ASSERT_NE(nullptr, preparedModel.get());
float fpAtol = 1e-5f, fpRtol = 5.0f * 1.1920928955078125e-7f;
- EvaluatePreparedModel(preparedModel, is_ignored, examples, fpAtol, fpRtol);
+ EvaluatePreparedModel(preparedModel, is_ignored, examples,
+ /*hasRelaxedFloat32Model=*/false, fpAtol, fpRtol);
}
void Execute(const sp<V1_1::IDevice>& device, std::function<V1_1::Model(void)> create_model,
@@ -272,13 +283,8 @@
EXPECT_EQ(ErrorStatus::NONE, prepareReturnStatus);
ASSERT_NE(nullptr, preparedModel.get());
- // TODO: Adjust the error limit based on testing.
- // If in relaxed mode, set the absolute tolerance to be 5ULP of FP16.
- float fpAtol = !model.relaxComputationFloat32toFloat16 ? 1e-5f : 5.0f * 0.0009765625f;
- // Set the relative tolerance to be 5ULP of the corresponding FP precision.
- float fpRtol = !model.relaxComputationFloat32toFloat16 ? 5.0f * 1.1920928955078125e-7f
- : 5.0f * 0.0009765625f;
- EvaluatePreparedModel(preparedModel, is_ignored, examples, fpAtol, fpRtol);
+ EvaluatePreparedModel(preparedModel, is_ignored, examples,
+ model.relaxComputationFloat32toFloat16);
}
// TODO: Reduce code duplication.
@@ -323,13 +329,8 @@
EXPECT_EQ(ErrorStatus::NONE, prepareReturnStatus);
ASSERT_NE(nullptr, preparedModel.get());
- // TODO: Adjust the error limit based on testing.
- // If in relaxed mode, set the absolute tolerance to be 5ULP of FP16.
- float fpAtol = !model.relaxComputationFloat32toFloat16 ? 1e-5f : 5.0f * 0.0009765625f;
- // Set the relative tolerance to be 5ULP of the corresponding FP precision.
- float fpRtol = !model.relaxComputationFloat32toFloat16 ? 5.0f * 1.1920928955078125e-7f
- : 5.0f * 0.0009765625f;
- EvaluatePreparedModel(preparedModel, is_ignored, examples, fpAtol, fpRtol);
+ EvaluatePreparedModel(preparedModel, is_ignored, examples,
+ model.relaxComputationFloat32toFloat16);
}
} // namespace generated_tests
diff --git a/neuralnetworks/1.0/vts/functional/GeneratedTests.cpp b/neuralnetworks/1.0/vts/functional/GeneratedTests.cpp
index ac1ae60..26b4d8b 100644
--- a/neuralnetworks/1.0/vts/functional/GeneratedTests.cpp
+++ b/neuralnetworks/1.0/vts/functional/GeneratedTests.cpp
@@ -45,6 +45,8 @@
using ::android::nn::allocateSharedMemory;
using ::test_helper::MixedTypedExample;
+std::vector<Request> createRequests(const std::vector<MixedTypedExample>& examples);
+
// in frameworks/ml/nn/runtime/tests/generated/
#include "all_generated_V1_0_vts_tests.cpp"
diff --git a/neuralnetworks/1.0/vts/functional/Models.h b/neuralnetworks/1.0/vts/functional/Models.h
deleted file mode 100644
index 268e671..0000000
--- a/neuralnetworks/1.0/vts/functional/Models.h
+++ /dev/null
@@ -1,200 +0,0 @@
-/*
- * 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_0_VTS_FUNCTIONAL_MODELS_H
-#define VTS_HAL_NEURALNETWORKS_V1_0_VTS_FUNCTIONAL_MODELS_H
-
-#define LOG_TAG "neuralnetworks_hidl_hal_test"
-
-#include "TestHarness.h"
-
-#include <android/hardware/neuralnetworks/1.0/types.h>
-
-namespace android {
-namespace hardware {
-namespace neuralnetworks {
-namespace V1_0 {
-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_0
-} // namespace neuralnetworks
-} // namespace hardware
-} // namespace android
-
-#endif // VTS_HAL_NEURALNETWORKS_V1_0_VTS_FUNCTIONAL_MODELS_H
diff --git a/neuralnetworks/1.0/vts/functional/ValidationTests.cpp b/neuralnetworks/1.0/vts/functional/ValidationTests.cpp
deleted file mode 100644
index d3cbcff..0000000
--- a/neuralnetworks/1.0/vts/functional/ValidationTests.cpp
+++ /dev/null
@@ -1,50 +0,0 @@
-/*
- * 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 "Models.h"
-#include "VtsHalNeuralnetworks.h"
-
-namespace android {
-namespace hardware {
-namespace neuralnetworks {
-namespace V1_0 {
-namespace vts {
-namespace functional {
-
-// forward declarations
-std::vector<Request> createRequests(const std::vector<::test_helper::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_0
-} // namespace neuralnetworks
-} // namespace hardware
-} // namespace android
diff --git a/neuralnetworks/1.1/vts/functional/Android.bp b/neuralnetworks/1.1/vts/functional/Android.bp
index df1ac67..07c9b6e 100644
--- a/neuralnetworks/1.1/vts/functional/Android.bp
+++ b/neuralnetworks/1.1/vts/functional/Android.bp
@@ -20,7 +20,6 @@
defaults: ["VtsHalNeuralNetworksTargetTestDefaults"],
srcs: [
"GeneratedTestsV1_0.cpp",
- "ValidationTestsV1_0.cpp",
],
}
@@ -31,6 +30,5 @@
srcs: [
"BasicTests.cpp",
"GeneratedTests.cpp",
- "ValidationTests.cpp",
],
}
diff --git a/neuralnetworks/1.1/vts/functional/GeneratedTests.cpp b/neuralnetworks/1.1/vts/functional/GeneratedTests.cpp
index d16f181..290a9d3 100644
--- a/neuralnetworks/1.1/vts/functional/GeneratedTests.cpp
+++ b/neuralnetworks/1.1/vts/functional/GeneratedTests.cpp
@@ -45,6 +45,8 @@
using ::android::nn::allocateSharedMemory;
using ::test_helper::MixedTypedExample;
+std::vector<Request> createRequests(const std::vector<MixedTypedExample>& examples);
+
// in frameworks/ml/nn/runtime/tests/generated/
#include "all_generated_V1_1_vts_tests.cpp"
diff --git a/neuralnetworks/1.1/vts/functional/GeneratedTestsV1_0.cpp b/neuralnetworks/1.1/vts/functional/GeneratedTestsV1_0.cpp
index e2acd7d..a36b24c 100644
--- a/neuralnetworks/1.1/vts/functional/GeneratedTestsV1_0.cpp
+++ b/neuralnetworks/1.1/vts/functional/GeneratedTestsV1_0.cpp
@@ -45,6 +45,8 @@
using ::android::nn::allocateSharedMemory;
using ::test_helper::MixedTypedExample;
+std::vector<Request> createRequests(const std::vector<MixedTypedExample>& examples);
+
// in frameworks/ml/nn/runtime/tests/generated/
#include "all_generated_V1_0_vts_tests.cpp"
diff --git a/neuralnetworks/1.1/vts/functional/Models.h b/neuralnetworks/1.1/vts/functional/Models.h
deleted file mode 100644
index 57da010..0000000
--- a/neuralnetworks/1.1/vts/functional/Models.h
+++ /dev/null
@@ -1,231 +0,0 @@
-/*
- * 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/1.0/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_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_1
-} // namespace neuralnetworks
-} // namespace hardware
-} // namespace android
-
-#endif // VTS_HAL_NEURALNETWORKS_V1_1_VTS_FUNCTIONAL_MODELS_H
diff --git a/neuralnetworks/1.1/vts/functional/ModelsV1_0.h b/neuralnetworks/1.1/vts/functional/ModelsV1_0.h
deleted file mode 100644
index 52c0346..0000000
--- a/neuralnetworks/1.1/vts/functional/ModelsV1_0.h
+++ /dev/null
@@ -1,201 +0,0 @@
-/*
- * 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
diff --git a/neuralnetworks/1.1/vts/functional/ValidationTests.cpp b/neuralnetworks/1.1/vts/functional/ValidationTests.cpp
deleted file mode 100644
index 1c35ba8..0000000
--- a/neuralnetworks/1.1/vts/functional/ValidationTests.cpp
+++ /dev/null
@@ -1,50 +0,0 @@
-/*
- * 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 "Models.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
diff --git a/neuralnetworks/1.1/vts/functional/ValidationTestsV1_0.cpp b/neuralnetworks/1.1/vts/functional/ValidationTestsV1_0.cpp
deleted file mode 100644
index 7e2af05..0000000
--- a/neuralnetworks/1.1/vts/functional/ValidationTestsV1_0.cpp
+++ /dev/null
@@ -1,50 +0,0 @@
-/*
- * 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
diff --git a/neuralnetworks/1.2/types.hal b/neuralnetworks/1.2/types.hal
index 4a1e7a8..22d0002 100644
--- a/neuralnetworks/1.2/types.hal
+++ b/neuralnetworks/1.2/types.hal
@@ -47,6 +47,18 @@
};
/**
+ * The range of values in the OperandType enum.
+ *
+ * THE MAX VALUES MUST BE UPDATED WHEN ADDING NEW TYPES to the OperandType enum.
+ */
+enum OperandTypeRange : uint32_t {
+ OPERAND_FUNDAMENTAL_MIN = 0,
+ OPERAND_FUNDAMENTAL_MAX = 8,
+ OPERAND_OEM_MIN = 10000,
+ OPERAND_OEM_MAX = 10001,
+};
+
+/**
* Operation types.
*
* The type of an operation in a model.
@@ -106,6 +118,18 @@
};
/**
+ * The range of values in the OperationType enum.
+ *
+ * THE MAX VALUES MUST BE UPDATED WHEN ADDING NEW TYPES to the OperationType enum.
+ */
+enum OperationTypeRange : uint32_t {
+ OPERATION_FUNDAMENTAL_MIN = 0,
+ OPERATION_FUNDAMENTAL_MAX = 87,
+ OPERATION_OEM_MIN = 10000,
+ OPERATION_OEM_MAX = 10000,
+};
+
+/**
* Describes one operation of the model's graph.
*/
struct Operation {
diff --git a/neuralnetworks/1.2/vts/functional/Android.bp b/neuralnetworks/1.2/vts/functional/Android.bp
index 087c12f..085d5db 100644
--- a/neuralnetworks/1.2/vts/functional/Android.bp
+++ b/neuralnetworks/1.2/vts/functional/Android.bp
@@ -20,7 +20,6 @@
defaults: ["VtsHalNeuralNetworksTargetTestDefaults"],
srcs: [
"GeneratedTestsV1_0.cpp",
- "ValidationTestsV1_0.cpp",
]
}
@@ -30,7 +29,6 @@
defaults: ["VtsHalNeuralNetworksTargetTestDefaults"],
srcs: [
"GeneratedTestsV1_1.cpp",
- "ValidationTestsV1_1.cpp",
],
}
@@ -41,6 +39,5 @@
srcs: [
"BasicTests.cpp",
"GeneratedTests.cpp",
- "ValidationTests.cpp",
],
}
diff --git a/neuralnetworks/1.2/vts/functional/GeneratedTests.cpp b/neuralnetworks/1.2/vts/functional/GeneratedTests.cpp
index 0608139..79d5a60 100644
--- a/neuralnetworks/1.2/vts/functional/GeneratedTests.cpp
+++ b/neuralnetworks/1.2/vts/functional/GeneratedTests.cpp
@@ -45,6 +45,8 @@
using ::android::nn::allocateSharedMemory;
using ::test_helper::MixedTypedExample;
+std::vector<Request> createRequests(const std::vector<MixedTypedExample>& examples);
+
// in frameworks/ml/nn/runtime/tests/generated/
#include "all_generated_V1_2_vts_tests.cpp"
diff --git a/neuralnetworks/1.2/vts/functional/GeneratedTestsV1_0.cpp b/neuralnetworks/1.2/vts/functional/GeneratedTestsV1_0.cpp
index 8d685d1..42e22b0 100644
--- a/neuralnetworks/1.2/vts/functional/GeneratedTestsV1_0.cpp
+++ b/neuralnetworks/1.2/vts/functional/GeneratedTestsV1_0.cpp
@@ -45,6 +45,8 @@
using ::android::nn::allocateSharedMemory;
using ::test_helper::MixedTypedExample;
+std::vector<Request> createRequests(const std::vector<MixedTypedExample>& examples);
+
// in frameworks/ml/nn/runtime/tests/generated/
#include "all_generated_V1_0_vts_tests.cpp"
diff --git a/neuralnetworks/1.2/vts/functional/GeneratedTestsV1_1.cpp b/neuralnetworks/1.2/vts/functional/GeneratedTestsV1_1.cpp
index 8dbb586..aab5cb6 100644
--- a/neuralnetworks/1.2/vts/functional/GeneratedTestsV1_1.cpp
+++ b/neuralnetworks/1.2/vts/functional/GeneratedTestsV1_1.cpp
@@ -45,6 +45,8 @@
using ::android::nn::allocateSharedMemory;
using ::test_helper::MixedTypedExample;
+std::vector<Request> createRequests(const std::vector<MixedTypedExample>& examples);
+
// in frameworks/ml/nn/runtime/tests/generated/
#include "all_generated_V1_1_vts_tests.cpp"
diff --git a/neuralnetworks/1.2/vts/functional/Models.h b/neuralnetworks/1.2/vts/functional/Models.h
deleted file mode 100644
index 2426ad0..0000000
--- a/neuralnetworks/1.2/vts/functional/Models.h
+++ /dev/null
@@ -1,56 +0,0 @@
-/*
- * 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_H
-#define VTS_HAL_NEURALNETWORKS_V1_2_VTS_FUNCTIONAL_MODELS_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(random_multinomial)
-
-#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_H
diff --git a/neuralnetworks/1.2/vts/functional/ModelsV1_0.h b/neuralnetworks/1.2/vts/functional/ModelsV1_0.h
deleted file mode 100644
index e81e64b..0000000
--- a/neuralnetworks/1.2/vts/functional/ModelsV1_0.h
+++ /dev/null
@@ -1,202 +0,0 @@
-/*
- * 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
diff --git a/neuralnetworks/1.2/vts/functional/ModelsV1_1.h b/neuralnetworks/1.2/vts/functional/ModelsV1_1.h
deleted file mode 100644
index eb68de4..0000000
--- a/neuralnetworks/1.2/vts/functional/ModelsV1_1.h
+++ /dev/null
@@ -1,230 +0,0 @@
-/*
- * 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
diff --git a/neuralnetworks/1.2/vts/functional/ValidateModel.cpp b/neuralnetworks/1.2/vts/functional/ValidateModel.cpp
index c1c6e55..b4921e3 100644
--- a/neuralnetworks/1.2/vts/functional/ValidateModel.cpp
+++ b/neuralnetworks/1.2/vts/functional/ValidateModel.cpp
@@ -128,16 +128,16 @@
///////////////////////// VALIDATE MODEL OPERAND TYPE /////////////////////////
-static const int32_t invalidOperandTypes[] = {
- static_cast<int32_t>(OperandType::FLOAT32) - 1, // lower bound fundamental
- static_cast<int32_t>(OperandType::TENSOR_QUANT16_ASYMM) + 1, // upper bound fundamental
- static_cast<int32_t>(OperandType::OEM) - 1, // lower bound OEM
- static_cast<int32_t>(OperandType::TENSOR_OEM_BYTE) + 1, // upper bound OEM
+static const uint32_t invalidOperandTypes[] = {
+ static_cast<uint32_t>(OperandTypeRange::OPERAND_FUNDAMENTAL_MIN) - 1,
+ static_cast<uint32_t>(OperandTypeRange::OPERAND_FUNDAMENTAL_MAX) + 1,
+ static_cast<uint32_t>(OperandTypeRange::OPERAND_OEM_MIN) - 1,
+ static_cast<uint32_t>(OperandTypeRange::OPERAND_OEM_MAX) + 1,
};
static void mutateOperandTypeTest(const sp<IDevice>& device, const Model& model) {
for (size_t operand = 0; operand < model.operands.size(); ++operand) {
- for (int32_t invalidOperandType : invalidOperandTypes) {
+ for (uint32_t invalidOperandType : invalidOperandTypes) {
const std::string message = "mutateOperandTypeTest: operand " +
std::to_string(operand) + " set to value " +
std::to_string(invalidOperandType);
@@ -329,16 +329,16 @@
///////////////////////// VALIDATE MODEL OPERATION TYPE /////////////////////////
-static const int32_t invalidOperationTypes[] = {
- static_cast<int32_t>(OperationType::ADD) - 1, // lower bound fundamental
- static_cast<int32_t>(OperationType::TRANSPOSE) + 1, // upper bound fundamental
- static_cast<int32_t>(OperationType::OEM_OPERATION) - 1, // lower bound OEM
- static_cast<int32_t>(OperationType::OEM_OPERATION) + 1, // upper bound OEM
+static const uint32_t invalidOperationTypes[] = {
+ static_cast<uint32_t>(OperationTypeRange::OPERATION_FUNDAMENTAL_MIN) - 1,
+ static_cast<uint32_t>(OperationTypeRange::OPERATION_FUNDAMENTAL_MAX) + 1,
+ static_cast<uint32_t>(OperationTypeRange::OPERATION_OEM_MIN) - 1,
+ static_cast<uint32_t>(OperationTypeRange::OPERATION_OEM_MAX) + 1,
};
static void mutateOperationTypeTest(const sp<IDevice>& device, const Model& model) {
for (size_t operation = 0; operation < model.operations.size(); ++operation) {
- for (int32_t invalidOperationType : invalidOperationTypes) {
+ for (uint32_t invalidOperationType : invalidOperationTypes) {
const std::string message = "mutateOperationTypeTest: operation " +
std::to_string(operation) + " set to value " +
std::to_string(invalidOperationType);
diff --git a/neuralnetworks/1.2/vts/functional/ValidationTests.cpp b/neuralnetworks/1.2/vts/functional/ValidationTests.cpp
deleted file mode 100644
index 3bdc5cd..0000000
--- a/neuralnetworks/1.2/vts/functional/ValidationTests.cpp
+++ /dev/null
@@ -1,50 +0,0 @@
-/*
- * 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 "Models.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
diff --git a/neuralnetworks/1.2/vts/functional/ValidationTestsV1_0.cpp b/neuralnetworks/1.2/vts/functional/ValidationTestsV1_0.cpp
deleted file mode 100644
index c54ed43..0000000
--- a/neuralnetworks/1.2/vts/functional/ValidationTestsV1_0.cpp
+++ /dev/null
@@ -1,50 +0,0 @@
-/*
- * 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
diff --git a/neuralnetworks/1.2/vts/functional/ValidationTestsV1_1.cpp b/neuralnetworks/1.2/vts/functional/ValidationTestsV1_1.cpp
deleted file mode 100644
index 95932d5..0000000
--- a/neuralnetworks/1.2/vts/functional/ValidationTestsV1_1.cpp
+++ /dev/null
@@ -1,50 +0,0 @@
-/*
- * 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
diff --git a/soundtrigger/2.2/ISoundTriggerHw.hal b/soundtrigger/2.2/ISoundTriggerHw.hal
index fcb5087..a26896a 100644
--- a/soundtrigger/2.2/ISoundTriggerHw.hal
+++ b/soundtrigger/2.2/ISoundTriggerHw.hal
@@ -16,25 +16,27 @@
package android.hardware.soundtrigger@2.2;
-import @2.0::ISoundTriggerHwCallback.RecognitionEvent;
import @2.0::SoundModelHandle;
import @2.1::ISoundTriggerHw;
/**
- * SoundTrigger HAL interface. Used for hardware recognition of hotwords.
+ * SoundTrigger HAL interface. Used for hardware recognition of hotwords
+ * and other sounds.
*/
interface ISoundTriggerHw extends @2.1::ISoundTriggerHw {
/**
* Get the state of a given model.
- * The model state is returned as a RecognitionEvent.
- * @param modelHandle The handle of the sound model to use for recognition
+ * The model state is returned asynchronously as a RecognitionEvent via
+ * the callback that was registered in StartRecognition().
+ * @param modelHandle The handle of the sound model whose state is being
+ * queried.
* @return retval Operation completion status: 0 in case of success,
* -ENOSYS in case of invalid model handle,
* -ENOMEM in case of memory allocation failure,
- * -ENODEV in case of initialization error.
- * @return state RecognitionEvent in case of success
+ * -ENODEV in case of initialization error,
+ * -EINVAL in case where a recognition event is already
+ * being processed.
*/
- getModelState(SoundModelHandle modelHandle)
- generates (int32_t retval, @2.0::ISoundTriggerHwCallback.RecognitionEvent state);
+ getModelState(SoundModelHandle modelHandle) generates (int32_t retval);
};
diff --git a/soundtrigger/2.2/default/SoundTriggerHw.cpp b/soundtrigger/2.2/default/SoundTriggerHw.cpp
index ffdf9fb..9d930ac 100644
--- a/soundtrigger/2.2/default/SoundTriggerHw.cpp
+++ b/soundtrigger/2.2/default/SoundTriggerHw.cpp
@@ -690,45 +690,26 @@
// Begin V2_2 implementation
-Return<void> SoundTriggerHw::getModelState(int32_t modelHandle, getModelState_cb hidl_cb) {
- int ret = 0;
- V2_0::ISoundTriggerHwCallback::RecognitionEvent event;
- struct sound_trigger_recognition_event* halEvent = NULL;
+Return<int32_t> SoundTriggerHw::getModelState(int32_t modelHandle) {
sp<SoundModelClient> client;
if (mHwDevice == NULL) {
- ret = -ENODEV;
- goto exit;
+ return -ENODEV;
}
{
AutoMutex lock(mLock);
client = mClients.valueFor(modelHandle);
if (client == 0) {
- ret = -ENOSYS;
- goto exit;
+ return -ENOSYS;
}
}
if (mHwDevice->get_model_state == NULL) {
ALOGE("Failed to get model state from device, no such method");
- ret = -ENODEV;
- goto exit;
+ return -ENODEV;
}
- // Get the state from the device (as a recognition event)
- halEvent = mHwDevice->get_model_state(mHwDevice, client->getHalHandle());
- if (halEvent == NULL) {
- ALOGE("Failed to get model state from device");
- ret = -ENODEV;
- goto exit;
- }
-
- convertRecognitionEventFromHal(&event, halEvent);
-
-exit:
- hidl_cb(ret, event);
- free(halEvent);
- return Void();
+ return mHwDevice->get_model_state(mHwDevice, client->getHalHandle());
}
// Methods from ::android::hidl::base::V1_0::IBase follow.
diff --git a/soundtrigger/2.2/default/SoundTriggerHw.h b/soundtrigger/2.2/default/SoundTriggerHw.h
index 876b990..6676318 100644
--- a/soundtrigger/2.2/default/SoundTriggerHw.h
+++ b/soundtrigger/2.2/default/SoundTriggerHw.h
@@ -82,7 +82,7 @@
int32_t cookie) override;
// Methods from V2_2::ISoundTriggerHw follow.
- Return<void> getModelState(int32_t modelHandle, getModelState_cb _hidl_cb) override;
+ Return<int32_t> getModelState(int32_t modelHandle) override;
SoundTriggerHw();
diff --git a/soundtrigger/2.2/vts/functional/VtsHalSoundtriggerV2_2TargetTest.cpp b/soundtrigger/2.2/vts/functional/VtsHalSoundtriggerV2_2TargetTest.cpp
index a473c37..0f37816 100644
--- a/soundtrigger/2.2/vts/functional/VtsHalSoundtriggerV2_2TargetTest.cpp
+++ b/soundtrigger/2.2/vts/functional/VtsHalSoundtriggerV2_2TargetTest.cpp
@@ -74,21 +74,14 @@
* Test ISoundTriggerHw::getModelState() method
*
* Verifies that:
- * - the implementation returns -EINVAL with invalid model handle
+ * - the implementation returns -ENOSYS with invalid model handle
*
*/
TEST_F(SoundTriggerHidlTest, GetModelStateInvalidModel) {
- int ret = android::OK;
- ::android::hardware::soundtrigger::V2_0::ISoundTriggerHwCallback::RecognitionEvent event;
SoundModelHandle handle = 0;
- Return<void> hidlReturn =
- mSoundTriggerHal->getModelState(handle, [&](int32_t retval, auto res) {
- ret = retval;
- event = res;
- });
-
+ Return<int32_t> hidlReturn = mSoundTriggerHal->getModelState(handle);
EXPECT_TRUE(hidlReturn.isOk());
- EXPECT_EQ(-ENOSYS, ret);
+ EXPECT_EQ(-ENOSYS, hidlReturn);
}
int main(int argc, char** argv) {