| /frameworks/base/media/mca/filterpacks/native/imageproc/ |
| D | to_rgba.c | 25 int output_size, in gray_to_rgb_process() argument
32 if (input_sizes[0] != output_size/3) in gray_to_rgb_process()
56 int output_size, in rgba_to_rgb_process() argument
63 if (input_sizes[0]/4 != output_size/3) in rgba_to_rgb_process()
88 int output_size, in gray_to_rgba_process() argument
95 if (input_sizes[0] != output_size/4) in gray_to_rgba_process()
120 int output_size, in rgb_to_rgba_process() argument
127 if (input_sizes[0]/3 != output_size/4) in rgb_to_rgba_process()
138 for (i = 0; i < output_size / 4; ++i) { in rgb_to_rgba_process()
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| D | contrast.c | 48 int output_size, in contrast_process() argument
57 if (input_sizes[0] != output_size) { in contrast_process()
58 LOGE("Contrast: Input-output sizes do not match up. %d vs. %d!", input_sizes[0], output_size); in contrast_process()
76 for (i = 0; i < output_size; ++i) { in contrast_process()
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| D | brightness.c | 53 int output_size, in brightness_process() argument
62 if (input_sizes[0] != output_size) { in brightness_process()
63 LOGE("Brightness: Input-output sizes do not match up. %d vs. %d!", input_sizes[0], output_size); in brightness_process()
70 const int* end_ptr = input_ptr + (output_size / 4); in brightness_process()
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| D | invert.c | 25 int output_size, in invert_process() argument
32 if (input_sizes[0] != output_size) in invert_process()
43 for (i = 0; i < output_size; ++i) in invert_process()
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| /frameworks/ml/nn/runtime/test/specs/V1_3/ |
| D | qlstm_projection.mod.py | 25 output_size = 3 variable
36 RecurrentWeightsType = ("TENSOR_QUANT8_SYMM", [num_units, output_size], 0.00784314, 0)
55 ("TENSOR_QUANT8_SYMM", [output_size, num_units], 0.00392157, 0))
56 projection_bias = Input("projection_bias", ("TENSOR_INT32", [output_size]))
58 OutputStateType = ("TENSOR_QUANT8_ASYMM_SIGNED", [batch_size, output_size], 3.05176e-05, 0)
129 projection_bias: [ 0 for _ in range(output_size) ],
134 output_state_in: [ 0 for _ in range(batch_size * output_size) ],
186 projection_bias: [ 0 for _ in range(output_size) ],
191 output_state_in: [ 0 for _ in range(batch_size * output_size) ],
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| D | qlstm_noprojection.mod.py | 25 output_size = 4 variable
36 RecurrentWeightsType = ("TENSOR_QUANT8_SYMM", [num_units, output_size], 0.00784314, 0)
55 ("TENSOR_QUANT8_SYMM", [output_size, num_units], 0.00392157, 0))
56 projection_bias = Input("projection_bias", ("TENSOR_INT32", [output_size]))
58 OutputStateType = ("TENSOR_QUANT8_ASYMM_SIGNED", [batch_size, output_size], 3.05176e-05, 0)
128 output_state_in: [ 0 for _ in range(batch_size * output_size) ],
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| /frameworks/av/media/libaudioprocessing/tests/fuzzer/ |
| D | libaudioprocessing_resampler_fuzzer.cpp | 179 size_t output_size = output_frames * output_frame_size; in LLVMFuzzerTestOneInput() local
181 uint8_t output_data[output_size]; in LLVMFuzzerTestOneInput()
183 memset(output_data, 0, output_size); in LLVMFuzzerTestOneInput()
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| /frameworks/base/media/mca/filterfw/native/core/ |
| D | native_program.cpp | 106 int output_size) { in CallProcess() argument
112 output_size, in CallProcess()
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| D | native_program.h | 59 int output_size);
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| /frameworks/base/media/mca/filterfw/jni/ |
| D | jni_native_program.cpp | 165 int output_size = 0; in Java_android_filterfw_core_NativeProgram_callNativeProcess() local
173 output_size = output_frame->Size(); in Java_android_filterfw_core_NativeProgram_callNativeProcess()
177 return ToJBool(program->CallProcess(input_buffers, input_sizes, output_data, output_size)); in Java_android_filterfw_core_NativeProgram_callNativeProcess()
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| /frameworks/av/media/libstagefright/foundation/ |
| D | OpusHeader.cpp | 147 uint8_t* output, size_t output_size) { in WriteOpusHeader() argument
150 if (output_size < total_size) { in WriteOpusHeader()
156 memset(output, 0, output_size); in WriteOpusHeader()
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| /frameworks/av/media/libstagefright/foundation/include/media/stagefright/foundation/ |
| D | OpusHeader.h | 71 …teOpusHeader(const OpusHeader &header, int input_sample_rate, uint8_t* output, size_t output_size);
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| /frameworks/av/media/libaudioprocessing/tests/ |
| D | test-resampler.cpp | 335 size_t output_size = output_frames * output_framesize; in main() local
381 void* output_vaddr = malloc(output_size); in main()
439 memset(output_vaddr, 0, output_size); in main()
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| /frameworks/ml/nn/tools/api/ |
| D | types.spec | 1565 * A 2-D tensor of shape [num_units, output_size], where “output_size”
1569 * A 2-D tensor of shape [num_units, output_size].
1571 * A 2-D tensor of shape [num_units, output_size].
1573 * A 2-D tensor of shape [num_units, output_size].
1589 * A 2-D tensor of shape [output_size, num_units].
1591 * A 1-D tensor of shape [output_size].
1593 * A 2-D tensor of shape [batch_size, output_size].
1648 * A 2-D tensor of shape [batch_size, output_size].
1652 * A 2-D tensor of shape [batch_size, output_size]. This is effectively
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