Searched refs:stride (Results 26 - 50 of 337) sorted by relevance

1234567891011>>

/frameworks/native/opengl/tools/glgen/stubs/gles11/
H A DglBindVertexBuffer.cpp1 /* void glBindVertexBuffer ( GLuint bindingindex, GLuint buffer, GLintptr offset, GLsizei stride ) */
4 (JNIEnv *_env, jobject _this, jint bindingindex, jint buffer, jlong offset, jint stride) {
13 (GLsizei)stride
3 android_glBindVertexBuffer__IIJI(JNIEnv *_env, jobject _this, jint bindingindex, jint buffer, jlong offset, jint stride) argument
/frameworks/rs/tests/cpp_api/cppstrided/
H A Dcompute.cpp10 uint32_t stride = 1025; local
15 printf("stride must be greater than or equal to 1024\n");
18 stride = (uint32_t) tempStride;
40 uint32_t* buf = (uint32_t*) malloc(stride * numElems * sizeof(uint32_t));
48 *(buf+(stride*i)+ct) = (uint32_t)ct + (i * numElems);
52 ain->copy2DStridedFrom(buf, stride * sizeof(uint32_t));
56 aout->copy2DStridedTo(buf, stride * sizeof(uint32_t));
60 if (*(buf+(stride*i)+ct) != (uint32_t)(ct + (i * numElems)) * 2) {
61 printf("Mismatch at location %d, %d: %u\n", i, ct, *(buf+(stride*i)+ct));
67 printf("Test successful with %u stride!\
[all...]
/frameworks/ml/nn/runtime/test/specs/V1_0/
H A Ddepthwise_conv2d_float_large_2_weights_as_inputs.mod.py23 stride = Int32Scalar("stride", 1) variable
30 stride, stride,
H A Ddepthwise_conv2d_float_large_weights_as_inputs.mod.py23 stride = Int32Scalar("stride", 1) variable
30 stride, stride,
H A Ddepthwise_conv2d_float_weights_as_inputs.mod.py23 stride = Int32Scalar("stride", 1) variable
30 stride, stride,
H A Ddepthwise_conv2d_quant8_large_weights_as_inputs.mod.py23 stride = Int32Scalar("stride", 1) variable
30 stride, stride,
H A Ddepthwise_conv2d_quant8_weights_as_inputs.mod.py23 stride = Int32Scalar("stride", 1) variable
30 stride, stride,
/frameworks/ml/nn/runtime/test/specs/V1_1/
H A Dconv_float_channels_relaxed.mod.py23 stride = Int32Scalar("stride", 1) variable
28 model = model.Operation("CONV_2D", i1, f1, b1, pad0, pad0, pad0, pad0, stride, stride, act).To(output)
H A Dconv_float_channels_weights_as_inputs_relaxed.mod.py23 stride = Int32Scalar("stride", 1) variable
28 model = model.Operation("CONV_2D", i1, f1, b1, pad0, pad0, pad0, pad0, stride, stride, act).To(output)
H A Dconv_float_large_relaxed.mod.py23 stride = Int32Scalar("stride", 1) variable
28 model = model.Operation("CONV_2D", i1, f1, b1, pad0, pad0, pad0, pad0, stride, stride, act).To(output)
H A Dconv_float_large_weights_as_inputs_relaxed.mod.py23 stride = Int32Scalar("stride", 1) variable
28 model = model.Operation("CONV_2D", i1, f1, b1, pad0, pad0, pad0, pad0, stride, stride, act).To(output)
H A Dconv_float_relaxed.mod.py23 stride = Int32Scalar("stride", 1) variable
28 model = model.Operation("CONV_2D", i1, f1, b1, pad0, pad0, pad0, pad0, stride, stride, act).To(output)
H A Dconv_float_weights_as_inputs_relaxed.mod.py23 stride = Int32Scalar("stride", 1) variable
28 model = model.Operation("CONV_2D", i1, f1, b1, pad0, pad0, pad0, pad0, stride, stride, act).To(output)
H A Ddepthwise_conv2d_float_2_relaxed.mod.py23 stride = Int32Scalar("stride", 1) variable
30 stride, stride,
H A Ddepthwise_conv2d_float_large_2_relaxed.mod.py23 stride = Int32Scalar("stride", 1) variable
30 stride, stride,
H A Ddepthwise_conv2d_float_large_2_weights_as_inputs_relaxed.mod.py23 stride = Int32Scalar("stride", 1) variable
30 stride, stride,
H A Ddepthwise_conv2d_float_large_relaxed.mod.py23 stride = Int32Scalar("stride", 1) variable
30 stride, stride,
H A Ddepthwise_conv2d_float_large_weights_as_inputs_relaxed.mod.py23 stride = Int32Scalar("stride", 1) variable
30 stride, stride,
H A Ddepthwise_conv2d_float_relaxed.mod.py23 stride = Int32Scalar("stride", 1) variable
30 stride, stride,
H A Ddepthwise_conv2d_float_weights_as_inputs_relaxed.mod.py23 stride = Int32Scalar("stride", 1) variable
30 stride, stride,
/frameworks/native/services/surfaceflinger/RenderEngine/
H A DMesh.cpp35 size_t stride = vertexSize + texCoordSize; local
36 size_t remainder = (stride * vertexCount) / vertexCount;
37 // Since all of the input parameters are unsigned, if stride is less than
39 // will be equal to stride as long as stride * vertexCount doesn't overflow.
40 if ((stride < vertexSize) || (remainder != stride)) {
51 mVertices = new float[stride * vertexCount];
52 mStride = stride;
/frameworks/native/opengl/libs/GLES_CM/
H A Dgl.cpp38 GL_API void GL_APIENTRY glColorPointerBounds(GLint size, GLenum type, GLsizei stride,
40 GL_API void GL_APIENTRY glNormalPointerBounds(GLenum type, GLsizei stride,
43 GLsizei stride, const GLvoid *pointer, GLsizei count);
45 GLsizei stride, const GLvoid *pointer, GLsizei count);
47 GLsizei stride, const GLvoid *pointer, GLsizei count);
49 GLsizei stride, const GLvoid *pointer, GLsizei count);
51 GLsizei stride, const GLvoid *pointer, GLsizei count);
54 void glColorPointerBounds(GLint size, GLenum type, GLsizei stride, argument
56 glColorPointer(size, type, stride, ptr);
58 void glNormalPointerBounds(GLenum type, GLsizei stride, argument
62 glTexCoordPointerBounds(GLint size, GLenum type, GLsizei stride, const GLvoid *pointer, GLsizei ) argument
66 glVertexPointerBounds(GLint size, GLenum type, GLsizei stride, const GLvoid *pointer, GLsizei ) argument
71 glPointSizePointerOESBounds(GLenum type, GLsizei stride, const GLvoid *pointer, GLsizei ) argument
76 glMatrixIndexPointerOESBounds(GLint size, GLenum type, GLsizei stride, const GLvoid *pointer, GLsizei ) argument
81 glWeightPointerOESBounds(GLint size, GLenum type, GLsizei stride, const GLvoid *pointer, GLsizei ) argument
[all...]
/frameworks/ml/nn/runtime/test/generated/models/
H A Davg_pool_float_2.model.cpp8 auto stride = model->addOperand(&type1); local
15 model->setOperandValue(stride, stride_init, sizeof(int32_t) * 1);
22 model->addOperation(ANEURALNETWORKS_AVERAGE_POOL_2D, {i0, padding, padding, padding, padding, stride, stride, filter, filter, activation}, {output});
H A Davg_pool_float_2_relaxed.model.cpp8 auto stride = model->addOperand(&type1); local
15 model->setOperandValue(stride, stride_init, sizeof(int32_t) * 1);
22 model->addOperation(ANEURALNETWORKS_AVERAGE_POOL_2D, {i0, padding, padding, padding, padding, stride, stride, filter, filter, activation}, {output});
H A Davg_pool_float_3.model.cpp8 auto stride = model->addOperand(&type1); local
15 model->setOperandValue(stride, stride_init, sizeof(int32_t) * 1);
22 model->addOperation(ANEURALNETWORKS_AVERAGE_POOL_2D, {i0, padding, padding, padding, padding, stride, stride, filter, filter, activation}, {output});

Completed in 564 milliseconds

1234567891011>>