| /frameworks/ml/nn/runtime/test/specs/V1_0/ |
| l2_pool_float_large.mod.py | 19 filter_width = Int32Scalar("filter_width", 2) variable
28 filter_width, filter_height,
|
| /frameworks/ml/nn/runtime/test/specs/V1_1/ |
| l2_pool_float_large_relaxed.mod.py | 19 filter_width = Int32Scalar("filter_width", 2) variable
28 filter_width, filter_height,
|
| /external/tensorflow/tensorflow/contrib/lite/kernels/internal/optimized/ |
| cblas_conv.h | 46 const int filter_width = ArraySize(filter_dims, 1); local
49 filter_width != 1 || filter_height != 1;
53 pad_width, pad_height, filter_height, filter_width, 0,
|
| multithreaded_conv.h | 118 const T* filter_data, int filter_height, int filter_width,
124 const bool is_1x1_kernel = (filter_height == 1 && filter_width == 1 &&
137 } else if (filter_height == input_height && filter_width == input_width &&
142 filter_width * filter_height * input_depth;
155 ConstEigenTensor filter(filter_data, filter_height, filter_width,
178 const int filter_width = ArraySize(filter_dims, 1); local
183 input_depth, filter_data, filter_height, filter_width,
|
| depthwiseconv_float.h | 766 int depth_multiplier, int filter_width,
788 for (int filter_x = 0; filter_x < filter_width; ++filter_x) {
925 const int filter_width = ArraySize(filter_dims, 1); local
[all...] |
| depthwiseconv_uint8.h | 1690 const int filter_width = ArraySize(filter_dims, 1); local
[all...] |
| optimized_ops.h | 775 const int filter_width = ArraySize(filter_dims, 1); local
856 const int filter_width = ArraySize(filter_dims, 1); local
[all...] |
| /frameworks/ml/nn/runtime/test/generated/models/ |
| l2_pool_float_large.model.cpp | 8 auto filter_width = model->addOperand(&type1); local
17 model->setOperandValue(filter_width, filter_width_init, sizeof(int32_t) * 1);
28 model->addOperation(ANEURALNETWORKS_L2_POOL_2D, {op1, pad0, pad0, pad0, pad0, stride_width, stride_height, filter_width, filter_height, act}, {op3});
|
| l2_pool_float_large_relaxed.model.cpp | 8 auto filter_width = model->addOperand(&type1); local
17 model->setOperandValue(filter_width, filter_width_init, sizeof(int32_t) * 1);
28 model->addOperation(ANEURALNETWORKS_L2_POOL_2D, {op1, pad0, pad0, pad0, pad0, stride_width, stride_height, filter_width, filter_height, act}, {op3});
|
| /external/tensorflow/tensorflow/contrib/lite/kernels/internal/reference/ |
| depthwiseconv_float.h | 39 const int filter_width = ArraySize(filter_dims, 1); local
54 for (int filter_x = 0; filter_x < filter_width; ++filter_x) {
|
| depthwiseconv_uint8.h | 45 const int filter_width = ArraySize(filter_dims, 1); local
60 for (int filter_x = 0; filter_x < filter_width; ++filter_x) {
|
| reference_ops.h | 176 const int filter_width = ArraySize(filter_dims, 1); local
187 for (int filter_x = 0; filter_x < filter_width; ++filter_x) {
270 const int filter_width = ArraySize(filter_dims, 1); local
281 for (int filter_x = 0; filter_x < filter_width; ++filter_x) {
[all...] |
| /external/tensorflow/tensorflow/contrib/lite/kernels/ |
| depthwise_conv.cc | 124 int filter_width = SizeOfDimension(filter, 2); local
139 int out_width = compute_out_size(width, filter_width, params->stride_width);
146 ComputePadding(params->stride_width, width, filter_width, out_width);
|
| conv.cc | 155 int filter_width = filter->dims->data[2]; local
170 int outWidth = computeOutSize(width, filter_width, params->stride_width);
176 ComputePadding(params->stride_width, width, filter_width, outWidth);
207 filter_width != 1 || filter_height != 1);
211 // [filter_count, filter_height, filter_width, input_depth], but for the float
212 // implementation we need them as [filter_height, filter_width, input_depth,
241 im2col_size->data[3] = input_depth * filter_height * filter_width;
260 hwcn_weights_size->data[0] = (filter_height * filter_width * input_depth);
|
| /external/tensorflow/tensorflow/core/kernels/neon/ |
| depthwiseconv_float.h | 428 int depth_multiplier, int filter_width,
450 for (int filter_x = 0; filter_x < filter_width; ++filter_x) {
501 int pad_width, int depth_multiplier, int filter_width,
512 for (int filter_x = 0; filter_x < filter_width; ++filter_x) {
570 const int filter_width = ArraySize(filter_dims, 1); local
654 pad_width, depth_multiplier, filter_width,
|
| /external/tensorflow/tensorflow/core/kernels/ |
| ops_util_test.cc | 36 int filter_width; member in struct:tensorflow::__anon39856::OpsUtilTest::padding_struct::__anon39857
78 pad_struct.input.in_width, pad_struct.input.filter_width,
93 pad_struct.input.in_width, pad_struct.input.filter_width,
112 pad_struct.input.in_width, pad_struct.input.filter_width,
|
| /hardware/qcom/neuralnetworks/hvxservice/1.0/ |
| HexagonOperationsCheck.cpp | 72 int32_t filter_width; local
83 filter_width = model->getScalar<int32_t>(ins[7]);
87 stride_width, stride_height, filter_width, filter_height,
94 filter_width = model->getScalar<int32_t>(ins[4]);
97 nn::calculateExplicitPadding(inShape.dimensions[2], stride_width, filter_width,
107 stride_width, stride_height, filter_width, filter_height, &outShape),
|
| HexagonOperationsPrepare.cpp | 62 int32_t filter_width; local
74 filter_width = model->getScalar<int32_t>(ins[7]);
80 stride_height, filter_width, filter_height, padding_left, padding_right,
87 filter_width = model->getScalar<int32_t>(ins[4]);
92 const hexagon_nn_input window = model->createShape(1, filter_height, filter_width, 1);
250 int32_t filter_width; local
262 filter_width = model->getScalar<int32_t>(ins[7]);
268 stride_height, filter_width, filter_height, padding_left, padding_right,
275 filter_width = model->getScalar<int32_t>(ins[4]);
280 const hexagon_nn_input window = model->createShape(1, filter_height, filter_width, 1)
334 int32_t filter_width; local
517 int32_t filter_width; local
765 int32_t filter_width; local
[all...] |
| /external/tensorflow/tensorflow/contrib/lite/ |
| builtin_op_data.h | 61 int filter_width; member in struct:__anon39187
|
| /frameworks/ml/nn/common/ |
| CpuExecutor.cpp | 494 int32_t filter_width = getSizeOfDimension(filterShape, 2); local
497 filter_width, padding_implicit,
581 int32_t filter_width = getSizeOfDimension(filterShape, 2); local
584 filter_width, padding_implicit,
639 int32_t filter_width, filter_height; local
649 filter_width = getScalarData<int32_t>(mOperands[ins[7]]);
656 filter_width = getScalarData<int32_t>(mOperands[ins[4]]);
664 filter_width, padding_implicit,
679 filter_width, filter_height,
687 filter_width, filter_height, activation
719 int32_t filter_width, filter_height; local
783 int32_t filter_width, filter_height; local
[all...] |
| /external/tensorflow/tensorflow/tools/benchmark/ |
| benchmark_model.cc | 201 int64 filter_width = filter_shape.dim_size(1); local
205 output_count * filter_in_depth * filter_height * filter_width * 2;
222 int64 filter_width = filter_shape.dim_size(1); local
224 current_flops = output_count * filter_height * filter_width * 2;
|
| /external/pdfium/third_party/libopenjpeg20/ |
| dwt.c | 1945 const OPJ_UINT32 filter_width = 2U; local
2663 const OPJ_UINT32 filter_width = 4U; local
[all...] |
| /external/tensorflow/tensorflow/contrib/lite/schema/ |
| schema_generated.h | 1430 int32_t filter_width; member in struct:tflite::Pool2DOptionsT
1462 int32_t filter_width() const { function in struct:tflite::FLATBUFFERS_FINAL_CLASS
[all...] |
