Merge changes I866fe138,I0096a2fc
* changes:
Remove BLOB AHWB tests from 1.2 VTS.
Update loopTimeoutDuration documentation in NNAPI
diff --git a/compatibility_matrices/build/vintf_compatibility_matrix.go b/compatibility_matrices/build/vintf_compatibility_matrix.go
index e48f993..2772ba3 100644
--- a/compatibility_matrices/build/vintf_compatibility_matrix.go
+++ b/compatibility_matrices/build/vintf_compatibility_matrix.go
@@ -40,7 +40,15 @@
Description: "assemble_vintf -i ${inputs}",
}, "inputs")
- kernelConfigTag = dependencyTag{name: "kernel-config"}
+ xmllintXsd = pctx.AndroidStaticRule("xmllint-xsd", blueprint.RuleParams{
+ Command: `$XmlLintCmd --schema $xsd $in > /dev/null && touch -a $out`,
+ CommandDeps: []string{"$XmlLintCmd"},
+ Restat: true,
+ }, "xsd")
+
+ kernelConfigTag = dependencyTag{name: "kernel-config"}
+ schemaTag = dependencyTag{name: "matrix-schema"}
+ schemaModuleName = "compatibility_matrix_schema"
)
const (
@@ -62,11 +70,13 @@
android.ModuleBase
properties vintfCompatibilityMatrixProperties
- genFile android.WritablePath
+ genFile android.WritablePath
+ additionalDependencies android.WritablePaths
}
func init() {
pctx.HostBinToolVariable("assembleVintfCmd", "assemble_vintf")
+ pctx.HostBinToolVariable("XmlLintCmd", "xmllint")
android.RegisterModuleType("vintf_compatibility_matrix", vintfCompatibilityMatrixFactory)
}
@@ -82,6 +92,42 @@
func (g *vintfCompatibilityMatrixRule) DepsMutator(ctx android.BottomUpMutatorContext) {
android.ExtractSourcesDeps(ctx, g.properties.Srcs)
ctx.AddDependency(ctx.Module(), kernelConfigTag, g.properties.Kernel_configs...)
+ ctx.AddDependency(ctx.Module(), schemaTag, schemaModuleName)
+}
+
+func (g *vintfCompatibilityMatrixRule) timestampFilePath(ctx android.ModuleContext, path android.Path) android.WritablePath {
+ return android.GenPathWithExt(ctx, "vintf-xmllint", path, "ts")
+}
+
+func (g *vintfCompatibilityMatrixRule) generateValidateBuildAction(ctx android.ModuleContext, path android.Path, schema android.Path) {
+ timestamp := g.timestampFilePath(ctx, path)
+ ctx.Build(pctx, android.BuildParams{
+ Rule: xmllintXsd,
+ Description: "xmllint-xsd",
+ Input: path,
+ Output: timestamp,
+ Implicit: schema,
+ Args: map[string]string{
+ "xsd": schema.String(),
+ },
+ })
+ g.additionalDependencies = append(g.additionalDependencies, timestamp)
+}
+
+func (g *vintfCompatibilityMatrixRule) getSchema(ctx android.ModuleContext) android.OptionalPath {
+ schemaModule := ctx.GetDirectDepWithTag(schemaModuleName, schemaTag)
+ sfp, ok := schemaModule.(android.SourceFileProducer)
+ if !ok {
+ ctx.ModuleErrorf("Implicit dependency %q has no srcs", ctx.OtherModuleName(schemaModule))
+ return android.OptionalPath{}
+ }
+
+ schemaSrcs := sfp.Srcs()
+ if len(schemaSrcs) != 1 {
+ ctx.PropertyErrorf(`srcs of implicit dependency %q has length %d != 1`, ctx.OtherModuleName(schemaModule), len(schemaSrcs))
+ return android.OptionalPath{}
+ }
+ return android.OptionalPathForPath(schemaSrcs[0])
}
func (g *vintfCompatibilityMatrixRule) GenerateAndroidBuildActions(ctx android.ModuleContext) {
@@ -91,7 +137,18 @@
outputFilename = g.Name()
}
+ schema := g.getSchema(ctx)
+ if !schema.Valid() {
+ return
+ }
+
inputPaths := android.PathsForModuleSrc(ctx, g.properties.Srcs)
+ for _, srcPath := range inputPaths {
+ g.generateValidateBuildAction(ctx, srcPath, schema.Path())
+ }
+
+ // No need to validate matrices from kernel configs because they are generated by
+ // assemble_vintf.
ctx.VisitDirectDepsWithTag(kernelConfigTag, func(m android.Module) {
if k, ok := m.(*configs.KernelConfigRule); ok {
inputPaths = append(inputPaths, k.OutputPath())
@@ -112,6 +169,7 @@
"inputs": strings.Join(inputPaths.Strings(), ":"),
},
})
+ g.generateValidateBuildAction(ctx, g.genFile, schema.Path())
ctx.InstallFile(android.PathForModuleInstall(ctx, "etc", relpath), outputFilename, g.genFile)
}
@@ -126,6 +184,9 @@
if proptools.String(g.properties.Stem) != "" {
fmt.Fprintln(w, "LOCAL_MODULE_STEM :=", proptools.String(g.properties.Stem))
}
+ for _, path := range g.additionalDependencies {
+ fmt.Fprintln(w, "LOCAL_ADDITIONAL_DEPENDENCIES +=", path.String())
+ }
},
},
}
diff --git a/current.txt b/current.txt
index cb8ddee..aeadef1 100644
--- a/current.txt
+++ b/current.txt
@@ -584,11 +584,11 @@
# ABI preserving changes to HALs during Android R
b69a7615c508acf5c5201efd1bfa3262167874fc3594e2db5a3ff93addd8ac75 android.hardware.keymaster@4.0::IKeymasterDevice
eb2fa0c883c2185d514be0b84c179b283753ef0c1b77b45b4f359bd23bba8b75 android.hardware.neuralnetworks@1.0::IPreparedModel
-8eac60e1f724d141c71c69f06d4544acb720a55dfbbcd97fa01bb3d25ee4e2f5 android.hardware.neuralnetworks@1.0::types
+92e101b30e47bdf526a01c52cecfbe730def5997b8260ab497eb949eb2a6dcdf android.hardware.neuralnetworks@1.0::types
5f6d3097ba84cb63c430787123f4de1b31c11f90b531b98eae9a8623a5ae962a android.hardware.neuralnetworks@1.1::types
fb382e986c10b8fbb797a8546e8f9ea6d1107bfe6f3fb7e57f6bbbf1f807a906 android.hardware.neuralnetworks@1.2::IDevice
40e71cd693de5b832325c5d8f081f2ff20a7ba2b89d401cee5b4b3eb0e241681 android.hardware.neuralnetworks@1.2::IPreparedModel
-00649d29680f2c47edf60000c3ae7ae906ba638f0616947147e3676a83cf36fa android.hardware.neuralnetworks@1.2::types
+ee1a0dee5be00a6fe2d4d3270068c78016dcb194d768fe07ed894ea20904037f android.hardware.neuralnetworks@1.2::types
a785a57447a81e9c130eef6904c3a5c256076c6a04588c40620ebd6fa2660d77 android.hardware.radio@1.2::types
1a6e2bd289f22931c526b21916910f1d4c436b7acb9556e4243de4ce8e6cc2e4 android.hardware.soundtrigger@2.0::ISoundTriggerHwCallback
fd65298e1e09e0e3c781ab18305920d757dbe55a3b459ce17814ec5cf6dfee99 android.hardware.wifi@1.0::IWifiP2pIface
@@ -639,14 +639,14 @@
6e904be0ddca5ae1de8eba020e6c38ed935ea7d80cd08f47787f137a0ca58555 android.hardware.neuralnetworks@1.3::IFencedExecutionCallback
ee9dc34b9925b8367b1111c72bd6d9d375432735e451572ca5a665d8516a7744 android.hardware.neuralnetworks@1.3::IPreparedModel
eee3430cc86c97c7b407495863d8fb61da6f1a64b7721e77b9b4909b11b174e9 android.hardware.neuralnetworks@1.3::IPreparedModelCallback
-c9320b04ec302624985180a02d591bea5e435601fc411a6cabb58878e4e1ad68 android.hardware.neuralnetworks@1.3::types
+acf84925f8ee0a651f2ec547ac334034de266479b93af5434f6c1f25e66aba96 android.hardware.neuralnetworks@1.3::types
3e01d4446cd69fd1c48f8572efd97487bc179564b32bd795800b97bbe10be37b android.hardware.wifi@1.4::IWifi
a64467bae843569f0d465c5be7f0c7a5b987985b55a3ef4794dd5afc68538650 android.hardware.wifi.supplicant@1.3::ISupplicant
44445b8a03d7b9e68b2fbd954672c18a8fce9e32851b0692f4f4ab3407f86ecb android.hardware.wifi.supplicant@1.3::ISupplicantStaIface
619fc9839ec6e369cfa9b28e3e9412e6885720ff8f9b5750c1b6ffb905120391 android.hardware.wifi.supplicant@1.3::ISupplicantStaIfaceCallback
c9273429fcf98d797d3bb07fdba6f1be95bf960f9255cde169fd1ca4db85f856 android.hardware.wifi.supplicant@1.3::ISupplicantStaNetwork
9b0a3ab6f4f74b971ed094426d8a443e29b512ff03e1ab50c07156396cdb2483 android.hardware.wifi.supplicant@1.3::types
-6b8dcd5e3e33a524cc7ebb14671a76ad3a2d333467397ce82acc4024346386f8 android.hardware.radio@1.5::types
+a5bcd595a5108312fe2eb402e716d0b7dab8eb689a2a5f54fdef3ff71f3babd5 android.hardware.radio@1.5::types
b454df853441c12f6e425e8a60dd29fda20f5e6e39b93d1103e4b37495db38aa android.hardware.radio@1.5::IRadio
fcbb0742a88215ee7a6d7ce0825d253eb2b50391fc6c8c48667f9fd7f6d4549e android.hardware.radio@1.5::IRadioIndication
b809193970a91ca637a4b0184767315601d32e3ef3d5992ffbc7a8d14a14f015 android.hardware.radio@1.5::IRadioResponse
diff --git a/neuralnetworks/1.0/types.hal b/neuralnetworks/1.0/types.hal
index 1175a30..620eefb 100644
--- a/neuralnetworks/1.0/types.hal
+++ b/neuralnetworks/1.0/types.hal
@@ -261,7 +261,7 @@
* filter.
* * 2: A 1-D tensor, of shape [depth_out], specifying the bias. For input
* tensor of type {@link OperandType::TENSOR_FLOAT32}
- * the bias must be of the same type.
+ * the bias must be of the same type.
* For filter tensor of {@link OperandType::TENSOR_QUANT8_ASYMM},
* the bias should be of {@link OperandType::TENSOR_INT32}, with zeroPoint
* of 0 and bias_scale == input_scale * filter_scale.
@@ -289,7 +289,7 @@
* filter.
* * 2: A 1-D tensor, of shape [depth_out], specifying the bias. For input
* tensor of type {@link OperandType::TENSOR_FLOAT32}
- * the bias must be of the same
+ * the bias must be of the same
* type.
* For filter tensor of {@link OperandType::TENSOR_QUANT8_ASYMM},
* the bias should be of {@link OperandType::TENSOR_INT32}, with zeroPoint
@@ -356,7 +356,7 @@
* specifying the filter.
* * 2: A 1-D tensor, of shape [depth_out], specifying the bias. For input
* tensor of type {@link OperandType::TENSOR_FLOAT32}
- * the bias must be of the same type.
+ * the bias must be of the same type.
* For filter tensor of {@link OperandType::TENSOR_QUANT8_ASYMM},
* the bias should be of {@link OperandType::TENSOR_INT32}, with zeroPoint
* of 0 and bias_scale == input_scale * filter_scale.
@@ -385,7 +385,7 @@
* specifying the filter.
* * 2: A 1-D tensor, of shape [depth_out], specifying the bias. For input
* tensor of type {@link OperandType::TENSOR_FLOAT32}
- * the bias must be of the same type.
+ * the bias must be of the same type.
* For filter tensor of {@link OperandType::TENSOR_QUANT8_ASYMM},
* the bias should be of {@link OperandType::TENSOR_INT32}, with zeroPoint
* of 0 and bias_scale == input_scale * filter_scale.
@@ -628,7 +628,7 @@
HASHTABLE_LOOKUP = 10,
/**
- * Applies L2 normalization along the depth dimension.
+ * Applies L2 normalization along the axis dimension.
*
* The values in the output tensor are computed as:
*
diff --git a/neuralnetworks/1.2/types.hal b/neuralnetworks/1.2/types.hal
index f0fd769..2c3c599 100644
--- a/neuralnetworks/1.2/types.hal
+++ b/neuralnetworks/1.2/types.hal
@@ -846,7 +846,7 @@
HASHTABLE_LOOKUP = @1.1::OperationType:HASHTABLE_LOOKUP,
/**
- * Applies L2 normalization along the depth dimension.
+ * Applies L2 normalization along the axis dimension.
*
* The values in the output tensor are computed as:
*
@@ -854,8 +854,7 @@
* input[batch, row, col, channel] /
* sqrt(sum_{c} pow(input[batch, row, col, c], 2))
*
- * For input tensor with rank less than 4, independently normalizes each
- * 1-D slice along dimension dim.
+ * By default the axis dimension is the last dimension of the input tensor.
*
* Supported tensor {@link OperandType}:
* * {@link OperandType::TENSOR_FLOAT16} (since HAL version 1.2)
@@ -3843,7 +3842,8 @@
* * 1: A scalar {@link OperandType::INT32}, specifying the number of
* independent samples to draw for each row slice.
* * 2: A 1-D {@link OperandType::TENSOR_INT32} tensor with shape [2],
- * specifying seeds used to initialize the random distribution.
+ * specifying seeds used to initialize the random distribution. If both
+ * provided seeds are 0, both will be randomly generated.
* Outputs:
* * 0: A 2-D {@link OperandType::TENSOR_INT32} tensor with shape
* [batches, samples], containing the drawn samples.
diff --git a/neuralnetworks/1.3/types.hal b/neuralnetworks/1.3/types.hal
index daaf22e..56930c2 100644
--- a/neuralnetworks/1.3/types.hal
+++ b/neuralnetworks/1.3/types.hal
@@ -833,7 +833,7 @@
HASHTABLE_LOOKUP = @1.2::OperationType:HASHTABLE_LOOKUP,
/**
- * Applies L2 normalization along the depth dimension.
+ * Applies L2 normalization along the axis dimension.
*
* The values in the output tensor are computed as:
*
@@ -841,8 +841,7 @@
* input[batch, row, col, channel] /
* sqrt(sum_{c} pow(input[batch, row, col, c], 2))
*
- * For input tensor with rank less than 4, independently normalizes each
- * 1-D slice along dimension dim.
+ * By default the axis dimension is the last dimension of the input tensor.
*
* Supported tensor {@link OperandType}:
* * {@link OperandType::TENSOR_FLOAT16} (since HAL version 1.2)
@@ -867,6 +866,10 @@
* the scale must be 1.f / 128 and the zeroPoint must be 128.
* For {@link OperandType::TENSOR_QUANT8_ASYMM_SIGNED},
* the scale must be 1.f / 128 and the zeroPoint must be 0.
+ *
+ * NOTE: Before HAL version 1.3, if the elements along an axis are all zeros,
+ * the result is undefined. Since HAL version 1.3, if the elements along an axis
+ * are all zeros, the result is logical zero.
*/
L2_NORMALIZATION = @1.2::OperationType:L2_NORMALIZATION,
@@ -4063,7 +4066,8 @@
* * 1: A scalar {@link OperandType::INT32}, specifying the number of
* independent samples to draw for each row slice.
* * 2: A 1-D {@link OperandType::TENSOR_INT32} tensor with shape [2],
- * specifying seeds used to initialize the random distribution.
+ * specifying seeds used to initialize the random distribution. If both
+ * provided seeds are 0, both will be randomly generated.
* Outputs:
* * 0: A 2-D {@link OperandType::TENSOR_INT32} tensor with shape
* [batches, samples], containing the drawn samples.
@@ -5168,6 +5172,8 @@
* * {@link OperandType::TENSOR_FLOAT16}
* * {@link OperandType::TENSOR_FLOAT32}
*
+ * Supported tensor rank: from 1.
+ *
* Inputs:
* * 0: A tensor, specifying the input. May be zero-sized.
* * 1: A scalar, specifying the alpha parameter.
@@ -5197,6 +5203,8 @@
* * {@link OperandType::TENSOR_QUANT8_ASYMM}
* * {@link OperandType::TENSOR_QUANT8_ASYMM_SIGNED}
*
+ * Supported tensor rank: from 1.
+ *
* Inputs:
* * 0: A tensor, specifying the input. May be zero-sized.
*
@@ -5215,6 +5223,8 @@
* * {@link OperandType::TENSOR_FLOAT32}
* * {@link OperandType::TENSOR_INT32}
*
+ * Supported tensor rank: from 1.
+ *
* Inputs:
* * 0: A 1-D tensor, specifying the desired output tensor shape.
* * 1: A scalar, specifying the value to fill the output tensors with.
@@ -5248,6 +5258,8 @@
* * {@link OperandType::TENSOR_QUANT8_SYMM}
* * {@link OperandType::TENSOR_QUANT8_ASYMM_SIGNED}
*
+ * Supported tensor rank: from 1.
+ *
* Inputs:
* * 0: The input tensor.
*
diff --git a/radio/1.5/types.hal b/radio/1.5/types.hal
index 248f56e..b061bd5 100644
--- a/radio/1.5/types.hal
+++ b/radio/1.5/types.hal
@@ -203,6 +203,9 @@
vec<int32_t> channels;
};
+/**
+ * IRadio 1.5 supports NGRAN bands up to V16.2.0
+ */
enum NgranBands : int32_t {
/** 3GPP TS 38.101-1, Table 5.2-1: FR1 bands */
BAND_1 = 1,
@@ -243,7 +246,13 @@
BAND_83 = 83,
BAND_84 = 84,
BAND_86 = 86,
+ BAND_89 = 89,
BAND_90 = 90,
+ BAND_91 = 91,
+ BAND_92 = 92,
+ BAND_93 = 93,
+ BAND_94 = 94,
+ BAND_95 = 95,
/** 3GPP TS 38.101-2, Table 5.2-1: FR2 bands */
BAND_257 = 257,
BAND_258 = 258,
@@ -251,6 +260,10 @@
BAND_261 = 261,
};
+/**
+ * Extended from @1.1 UtranBands to add TD-SCDMA bands
+ * IRadio 1.5 supports UTRAN bands up to V15.0.0
+ */
enum UtranBands : @1.1::UtranBands {
/** TD-SCDMA bands. 3GPP TS 25.102, Table 5.2: Frequency bands */
BAND_A = 101,
@@ -262,6 +275,25 @@
};
/**
+ * Extended from @1.1 EutranBands to add more bands from 3GPP TS 36.101, Table 5.5: Operating bands
+ * IRadio 1.5 supports EUTRAN bands up to V16.4.0
+ */
+enum EutranBands : @1.1::EutranBands {
+ BAND_49 = 49,
+ BAND_50 = 50,
+ BAND_51 = 51,
+ BAND_52 = 52,
+ BAND_53 = 53,
+ BAND_71 = 71,
+ BAND_72 = 72,
+ BAND_73 = 73,
+ BAND_74 = 74,
+ BAND_85 = 85,
+ BAND_87 = 87,
+ BAND_88 = 88,
+};
+
+/**
* Overwritten from @1.2::NetworkScanRequest to update RadioAccessSpecifier to 1.5 version.
*/
struct NetworkScanRequest {
diff --git a/sensors/2.0/vts/functional/VtsHalSensorsV2_0TargetTest.cpp b/sensors/2.0/vts/functional/VtsHalSensorsV2_0TargetTest.cpp
index 540529d..d0ebe4d 100644
--- a/sensors/2.0/vts/functional/VtsHalSensorsV2_0TargetTest.cpp
+++ b/sensors/2.0/vts/functional/VtsHalSensorsV2_0TargetTest.cpp
@@ -898,6 +898,8 @@
callback.waitForEvents(sensors, kFiveHundredMs + (5 * maxMinDelay));
activateAllSensors(false);
+ getEnvironment()->unregisterCallback();
+
for (const SensorInfo& sensor : sensors) {
// Skip sensors that did not previously report an event
if (lastEventTimestampMap.find(sensor.sensorHandle) == lastEventTimestampMap.end()) {