| /frameworks/native/opengl/tools/glgen/stubs/gles11/ |
| H A D | glBindVertexBuffer.cpp | 1 /* 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
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| /frameworks/ml/nn/runtime/test/specs/V1_0/ |
| H A D | conv_float.mod.py | 23 stride = Int32Scalar("stride", 1) variable
28 model = model.Operation("CONV_2D", i1, f1, b1, pad0, pad0, pad0, pad0, stride, stride, act).To(output)
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| H A D | conv_float_2.mod.py | 23 stride = Int32Scalar("stride", 1) variable
26 model = model.Operation("CONV_2D", i1, f1, b1, pad_same, stride, stride, act_relu).To(output)
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| H A D | conv_float_channels.mod.py | 23 stride = Int32Scalar("stride", 1) variable
28 model = model.Operation("CONV_2D", i1, f1, b1, pad0, pad0, pad0, pad0, stride, stride, act).To(output)
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| H A D | conv_float_channels_weights_as_inputs.mod.py | 23 stride = Int32Scalar("stride", 1) variable
28 model = model.Operation("CONV_2D", i1, f1, b1, pad0, pad0, pad0, pad0, stride, stride, act).To(output)
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| H A D | conv_float_large.mod.py | 23 stride = Int32Scalar("stride", 1) variable
28 model = model.Operation("CONV_2D", i1, f1, b1, pad0, pad0, pad0, pad0, stride, stride, act).To(output)
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| H A D | conv_float_large_weights_as_inputs.mod.py | 23 stride = Int32Scalar("stride", 1) variable
28 model = model.Operation("CONV_2D", i1, f1, b1, pad0, pad0, pad0, pad0, stride, stride, act).To(output)
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| H A D | conv_float_weights_as_inputs.mod.py | 23 stride = Int32Scalar("stride", 1) variable
28 model = model.Operation("CONV_2D", i1, f1, b1, pad0, pad0, pad0, pad0, stride, stride, act).To(output)
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| H A D | conv_quant8.mod.py | 25 stride = Int32Scalar("stride", 1) variable
30 model = model.Operation("CONV_2D", i1, f1, b1, pad0, pad0, pad0, pad0, stride,
31 stride, act).To(output)
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| H A D | conv_quant8_channels.mod.py | 23 stride = Int32Scalar("stride", 1) variable
26 model = model.Operation("CONV_2D", i1, f1, b1, pad0, pad0, pad0, pad0, stride, stride, act).To(output)
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| H A D | conv_quant8_channels_weights_as_inputs.mod.py | 23 stride = Int32Scalar("stride", 1) variable
26 model = model.Operation("CONV_2D", i1, f1, b1, pad0, pad0, pad0, pad0, stride, stride, act).To(output)
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| H A D | conv_quant8_large.mod.py | 23 stride = Int32Scalar("stride", 1) variable
26 model = model.Operation("CONV_2D", i1, f1, b1, pad0, pad0, pad0, pad0, stride, stride, act).To(output)
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| H A D | conv_quant8_large_weights_as_inputs.mod.py | 23 stride = Int32Scalar("stride", 1) variable
26 model = model.Operation("CONV_2D", i1, f1, b1, pad0, pad0, pad0, pad0, stride, stride, act).To(output)
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| H A D | conv_quant8_overflow.mod.py | 23 stride = Int32Scalar("stride", 1) variable
26 model = model.Operation("CONV_2D", i1, f1, b1, pad0, pad0, pad0, pad0, stride, stride, act).To(output)
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| H A D | conv_quant8_overflow_weights_as_inputs.mod.py | 23 stride = Int32Scalar("stride", 1) variable
26 model = model.Operation("CONV_2D", i1, f1, b1, pad0, pad0, pad0, pad0, stride, stride, act).To(output)
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| H A D | conv_quant8_weights_as_inputs.mod.py | 23 stride = Int32Scalar("stride", 1) variable
28 model = model.Operation("CONV_2D", i1, f1, b1, pad0, pad0, pad0, pad0, stride, stride, act).To(output)
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| /frameworks/ml/nn/runtime/test/specs/V1_1/ |
| H A D | conv_float_2_relaxed.mod.py | 23 stride = Int32Scalar("stride", 1) variable
26 model = model.Operation("CONV_2D", i1, f1, b1, pad_same, stride, stride, act_relu).To(output)
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| H A D | conv_float_channels_relaxed.mod.py | 23 stride = Int32Scalar("stride", 1) variable
28 model = model.Operation("CONV_2D", i1, f1, b1, pad0, pad0, pad0, pad0, stride, stride, act).To(output)
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| H A D | conv_float_channels_weights_as_inputs_relaxed.mod.py | 23 stride = Int32Scalar("stride", 1) variable
28 model = model.Operation("CONV_2D", i1, f1, b1, pad0, pad0, pad0, pad0, stride, stride, act).To(output)
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| H A D | conv_float_large_relaxed.mod.py | 23 stride = Int32Scalar("stride", 1) variable
28 model = model.Operation("CONV_2D", i1, f1, b1, pad0, pad0, pad0, pad0, stride, stride, act).To(output)
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| H A D | conv_float_large_weights_as_inputs_relaxed.mod.py | 23 stride = Int32Scalar("stride", 1) variable
28 model = model.Operation("CONV_2D", i1, f1, b1, pad0, pad0, pad0, pad0, stride, stride, act).To(output)
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| H A D | conv_float_relaxed.mod.py | 23 stride = Int32Scalar("stride", 1) variable
28 model = model.Operation("CONV_2D", i1, f1, b1, pad0, pad0, pad0, pad0, stride, stride, act).To(output)
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| H A D | conv_float_weights_as_inputs_relaxed.mod.py | 23 stride = Int32Scalar("stride", 1) variable
28 model = model.Operation("CONV_2D", i1, f1, b1, pad0, pad0, pad0, pad0, stride, stride, act).To(output)
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| /frameworks/ml/nn/runtime/test/generated/models/ |
| H A D | avg_pool_float_2.model.cpp | 8 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});
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| H A D | avg_pool_float_2_relaxed.model.cpp | 8 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});
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