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/frameworks/ml/nn/runtime/test/specs/V1_3/
Dstrided_slice_quant8_signed.mod.py21 strides = Parameter("strides", "TENSOR_INT32", "{2}", [1, 1]) variable
28 model = model.Operation("STRIDED_SLICE", i1, begins, ends, strides, beginMask, endMask, shrinkAxisM…
46 strides = Parameter("strides", "TENSOR_INT32", "{2}", [1, 1]) variable
53 model = model.Operation("STRIDED_SLICE", i1, begins, ends, strides, beginMask, endMask, shrinkAxisM…
71 strides = Parameter("strides", "TENSOR_INT32", "{1}", [1]) variable
78 model = model.Operation("STRIDED_SLICE", i1, begins, ends, strides, beginMask, endMask, shrinkAxisM…
96 strides = Parameter("strides", "TENSOR_INT32", "{1}", [1]) variable
103 model = model.Operation("STRIDED_SLICE", i1, begins, ends, strides, beginMask, endMask, shrinkAxisM…
121 strides = Parameter("strides", "TENSOR_INT32", "{1}", [1]) variable
128 model = model.Operation("STRIDED_SLICE", i1, begins, ends, strides, beginMask, endMask, shrinkAxisM…
[all …]
/frameworks/ml/nn/common/
DIndexedShapeWrapper.cpp25 strides.resize(shape->dimensions.size()); in IndexedShapeWrapper()
26 strides.back() = 1; in IndexedShapeWrapper()
27 for (int i = strides.size() - 2; i >= 0; --i) { in IndexedShapeWrapper()
28 strides[i] = shape->dimensions[i + 1] * strides[i + 1]; in IndexedShapeWrapper()
63 *flatIndex += strides[i] * index[i]; in indexToFlatIndex()
70 NN_CHECK(index.size() >= strides.size()); in broadcastedIndexToFlatIndex()
73 for (int i = 1; i <= strides.size(); ++i) { in broadcastedIndexToFlatIndex()
78 *flatIndex += strides[strides.size() - i] * index[index.size() - i]; in broadcastedIndexToFlatIndex()
/frameworks/base/graphics/java/android/graphics/
DYuvImage.java79 public YuvImage(byte[] yuv, int format, int width, int height, int[] strides) { in YuvImage() argument
96 if (strides == null) { in YuvImage()
99 mStrides = strides; in YuvImage()
200 int[] strides = null; in calculateStrides() local
202 strides = new int[] {width, width}; in calculateStrides()
203 return strides; in calculateStrides()
207 strides = new int[] {width * 2}; in calculateStrides()
208 return strides; in calculateStrides()
211 return strides; in calculateStrides()
238 int format, int width, int height, int[] offsets, int[] strides, in nativeCompressToJpeg() argument
/frameworks/base/core/jni/android/graphics/
DYuvToJpegEncoder.cpp11 YuvToJpegEncoder* YuvToJpegEncoder::create(int format, int* strides) { in create() argument
15 return new Yuv420SpToJpegEncoder(strides); in create()
17 return new Yuv422IToJpegEncoder(strides); in create()
23 YuvToJpegEncoder::YuvToJpegEncoder(int* strides) : fStrides(strides) { in YuvToJpegEncoder() argument
83 Yuv420SpToJpegEncoder::Yuv420SpToJpegEncoder(int* strides) : in Yuv420SpToJpegEncoder() argument
84 YuvToJpegEncoder(strides) { in Yuv420SpToJpegEncoder()
159 Yuv422IToJpegEncoder::Yuv422IToJpegEncoder(int* strides) : in Yuv422IToJpegEncoder() argument
160 YuvToJpegEncoder(strides) { in Yuv422IToJpegEncoder()
238 jintArray strides, jint jpegQuality, jobject jstream, in YuvImage_compressToJpeg() argument
244 jint* imgStrides = env->GetIntArrayElements(strides, NULL); in YuvImage_compressToJpeg()
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DYuvToJpegEncoder.h19 static YuvToJpegEncoder* create(int pixelFormat, int* strides);
21 explicit YuvToJpegEncoder(int* strides);
50 explicit Yuv420SpToJpegEncoder(int* strides);
64 explicit Yuv422IToJpegEncoder(int* strides);
/frameworks/ml/nn/runtime/test/specs/V1_1/
Dstrided_slice_qaunt8_11.mod.py5 strides = Parameter("strides", "TENSOR_INT32", "{2}", [1, 1]) variable
12 model = model.Operation("STRIDED_SLICE", i1, begins, ends, strides, beginMask, endMask, shrinkAxisM…
Dstrided_slice_quant8_9.mod.py5 strides = Parameter("strides", "TENSOR_INT32", "{2}", [1, 1]) variable
12 model = model.Operation("STRIDED_SLICE", i1, begins, ends, strides, beginMask, endMask, shrinkAxisM…
Dstrided_slice_quant8_1.mod.py5 strides = Parameter("strides", "TENSOR_INT32", "{1}", [1]) variable
12 model = model.Operation("STRIDED_SLICE", i1, begins, ends, strides, beginMask, endMask, shrinkAxisM…
Dstrided_slice_quant8_8.mod.py5 strides = Parameter("strides", "TENSOR_INT32", "{2}", [2, -1]) variable
12 model = model.Operation("STRIDED_SLICE", i1, begins, ends, strides, beginMask, endMask, shrinkAxisM…
Dstrided_slice_quant8_6.mod.py5 strides = Parameter("strides", "TENSOR_INT32", "{1}", [1]) variable
12 model = model.Operation("STRIDED_SLICE", i1, begins, ends, strides, beginMask, endMask, shrinkAxisM…
Dstrided_slice_float_1.mod.py5 strides = Parameter("strides", "TENSOR_INT32", "{1}", [1]) variable
12 model = model.Operation("STRIDED_SLICE", i1, begins, ends, strides, beginMask, endMask, shrinkAxisM…
Dstrided_slice_float_10.mod.py5 strides = Parameter("strides", "TENSOR_INT32", "{2}", [1, 1]) variable
12 model = model.Operation("STRIDED_SLICE", i1, begins, ends, strides, beginMask, endMask, shrinkAxisM…
Dstrided_slice_float_3.mod.py5 strides = Parameter("strides", "TENSOR_INT32", "{1}", [1]) variable
12 model = model.Operation("STRIDED_SLICE", i1, begins, ends, strides, beginMask, endMask, shrinkAxisM…
Dstrided_slice_quant8_2.mod.py5 strides = Parameter("strides", "TENSOR_INT32", "{1}", [1]) variable
12 model = model.Operation("STRIDED_SLICE", i1, begins, ends, strides, beginMask, endMask, shrinkAxisM…
Dstrided_slice_float_4.mod.py5 strides = Parameter("strides", "TENSOR_INT32", "{1}", [1]) variable
12 model = model.Operation("STRIDED_SLICE", i1, begins, ends, strides, beginMask, endMask, shrinkAxisM…
Dstrided_slice_float_9.mod.py5 strides = Parameter("strides", "TENSOR_INT32", "{2}", [1, 1]) variable
12 model = model.Operation("STRIDED_SLICE", i1, begins, ends, strides, beginMask, endMask, shrinkAxisM…
Dstrided_slice_float_5.mod.py5 strides = Parameter("strides", "TENSOR_INT32", "{1}", [1]) variable
12 model = model.Operation("STRIDED_SLICE", i1, begins, ends, strides, beginMask, endMask, shrinkAxisM…
Dstrided_slice_quant8_3.mod.py5 strides = Parameter("strides", "TENSOR_INT32", "{1}", [1]) variable
12 model = model.Operation("STRIDED_SLICE", i1, begins, ends, strides, beginMask, endMask, shrinkAxisM…
Dstrided_slice_float_8.mod.py5 strides = Parameter("strides", "TENSOR_INT32", "{2}", [2, -1]) variable
12 model = model.Operation("STRIDED_SLICE", i1, begins, ends, strides, beginMask, endMask, shrinkAxisM…
Dstrided_slice_quant8_5.mod.py5 strides = Parameter("strides", "TENSOR_INT32", "{1}", [1]) variable
12 model = model.Operation("STRIDED_SLICE", i1, begins, ends, strides, beginMask, endMask, shrinkAxisM…
Dstrided_slice_quant8_7.mod.py5 strides = Parameter("strides", "TENSOR_INT32", "{1}", [-1]) variable
12 model = model.Operation("STRIDED_SLICE", i1, begins, ends, strides, beginMask, endMask, shrinkAxisM…
Dstrided_slice_float_6.mod.py5 strides = Parameter("strides", "TENSOR_INT32", "{1}", [1]) variable
12 model = model.Operation("STRIDED_SLICE", i1, begins, ends, strides, beginMask, endMask, shrinkAxisM…
Dstrided_slice.mod.py5 strides = Parameter("strides", "TENSOR_INT32", "{2}", [2, 2]) variable
12 model = model.Operation("STRIDED_SLICE", i1, begins, ends, strides, beginMask, endMask, shrinkAxisM…
Dstrided_slice_float_2.mod.py5 strides = Parameter("strides", "TENSOR_INT32", "{1}", [1]) variable
12 model = model.Operation("STRIDED_SLICE", i1, begins, ends, strides, beginMask, endMask, shrinkAxisM…
/frameworks/ml/nn/runtime/test/specs/V1_2/
Dstrided_slice_float16.mod.py5 strides = Parameter("strides", "TENSOR_INT32", "{2}", [2, 2]) variable
12 model = model.Operation("STRIDED_SLICE", i1, begins, ends, strides, beginMask, endMask, shrinkAxisM…

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