| /external/tensorflow/tensorflow/core/kernels/ |
| bias_op.cc | 45 int32* batch, int32* height, int32* width,
47 *batch = 1;
55 *batch *= static_cast<int32>(value_tensor.dim_size(i));
65 *batch *= static_cast<int32>(value_tensor.dim_size(i));
134 int32 batch, height, width, channel; variable
135 GetBiasValueDims(input, data_format_, &batch, &height, &width, &channel);
137 Eigen::DSizes<int32, 4> broad_cast_dims(batch, 1, height, width);
231 int32 batch, height, width, channel; variable
232 GetBiasValueDims(output_backprop, data_format_, &batch, &height, &width,
249 Eigen::DSizes<int, 4> four_dims(batch, channel, height, width)
331 int32 batch, height, width, channel; variable
387 int32 batch, height, width, channel; variable
[all...] |
| bias_op_gpu.cu.cc | 70 T* output, int32 batch, int32 height, int32 width,
74 const int32 total_count = batch * bias_size * image_size;
140 T* bias_backprop, int32 batch,
156 int32 total_count = batch * image_size;
161 int32 batch = index / image_size; local
163 (batch * bias_size + bias_index) * image_size + image_offset);
189 T* bias_backprop, int32 batch, int32 height,
194 const int32 total_count = batch * bias_size * image_size;
222 output_backprop, bias_backprop, batch, bias_size, image_size,
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| cwise_op_select.cc | 237 const Eigen::DenseIndex batch = cond_vec.size(); local
242 Eigen::Tensor<Eigen::DenseIndex, 2>::Dimensions reshape_dims{{batch, 1}};
247 reshape_dims.set(0, batch);
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| dilation_ops_gpu.cu.cc | 40 const T* filter_ptr, int batch, int input_rows,
81 const T* out_backprop_ptr, int batch, int input_rows, int input_cols,
130 const T* out_backprop_ptr, int batch, int input_rows, int input_cols,
185 const int batch = input.dimension(0); local
196 const int total_count = batch * output_rows * output_cols * depth;
201 config.virtual_thread_count, input.data(), filter.data(), batch,
216 const int batch = input.dimension(0); local
231 total_count = batch * input_rows * input_cols * depth;
237 total_count = batch * output_rows * output_cols * depth;
242 out_backprop.data(), batch, input_rows, input_cols, depth, filter_rows
256 const int batch = input.dimension(0); local
[all...] |
| extract_image_patches_op.cc | 63 // [ batch, in_rows, in_cols, channels ]
69 const int batch = input.dim_size(0); variable
95 const std::vector<int64> out_sizes = {batch, out_rows, out_cols,
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| resize_bilinear_op_test.cc | 67 const int batch = images.dimension(0); local
72 ASSERT_EQ(batch, output.dimension(0));
81 for (int b = 0; b < batch; ++b) {
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| sparse_xent_op.h | 49 // the batch index b, it calculates:
70 const int batch = coords[0]; local
72 const Index label = tensorflow::internal::SubtleMustCopy(labels_(batch));
77 ? (Eigen::numext::log(sum_exp_logits_(batch)) - logits_(coords))
90 // indices. For each minibatch entry, ignoring the batch index b, it calculates:
110 const int batch = coords[0]; local
112 const Index label = tensorflow::internal::SubtleMustCopy(labels_(batch));
117 return exp_logits_(coords) / sum_exp_logits_(batch) - subtract;
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| /external/tensorflow/tensorflow/core/kernels/neon/ |
| neon_depthwise_conv_op.cc | 57 "strides in the batch and depth dimensions."));
78 const int32 batch = input.dim_size(0); variable
97 TensorShape out_shape({batch, out_rows, out_cols, out_depth});
110 << " Input: [" << batch << ", " << input_rows << ", " << input_cols
114 << ", pad_cols = " << pad_cols << ", output: [" << batch << ", "
153 // Dims in the neon kernels are channel, x, y, batch order.
164 // Dims in the neon kernels are channel, x, y, batch order.
176 // Dims in the neon kernels are channel, x, y, batch order.
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| /external/tensorflow/tensorflow/core/util/ |
| tensor_format.h | 31 // N = Batch, H = Image Height, W = Image Width, C = Number of Channels.
129 // Returns the index of the batch dimension.
242 // data 'tensor_format'. 'dimension' is a char that can be 'N' (batch size),
478 const int64 batch = GetTensorDim(src_shape, src_format, 'N'); local
483 return ShapeFromFormat(dst_format, batch,
490 return ShapeFromFormat(dst_format, batch,
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| /frameworks/base/cmds/incidentd/src/ |
| Reporter.h | 89 ReportRequestSet batch; member in class:android::os::incidentd::Reporter
95 // Run the report as described in the batch and args parameters.
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| /hardware/interfaces/sensors/1.0/default/ |
| Sensors.cpp | 234 Return<Result> Sensors::batch( function in class:android::hardware::sensors::V1_0::implementation::Sensors
239 mSensorDevice->batch(
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| /hardware/invensense/65xx/libsensors_iio/ |
| sensors_mpl.cpp | 95 int batch(int handle, int flags, int64_t period_ns, int64_t timeout);
319 int sensors_poll_context_t::batch(int handle, int flags, int64_t period_ns, function in class:sensors_poll_context_t
323 return mSensor->batch(handle, flags, period_ns, timeout);
370 return ctx->batch(handle, flags, period_ns, timeout);
399 /* Batch processing */
400 dev->device.batch = poll__batch;
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| /developers/build/prebuilts/gradle/BasicSyncAdapter/Application/src/main/java/com/example/android/basicsyncadapter/ |
| SyncAdapter.java | 189 * <p>As an additional optimization, we use a batch operation to perform all database writes at
212 ArrayList<ContentProviderOperation> batch = new ArrayList<ContentProviderOperation>(); local
252 batch.add(ContentProviderOperation.newUpdate(existingUri)
266 batch.add(ContentProviderOperation.newDelete(deleteUri).build());
275 batch.add(ContentProviderOperation.newInsert(FeedContract.Entry.CONTENT_URI)
283 Log.i(TAG, "Merge solution ready. Applying batch update");
284 mContentResolver.applyBatch(FeedContract.CONTENT_AUTHORITY, batch);
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| /developers/samples/android/connectivity/sync/BasicSyncAdapter/Application/src/main/java/com/example/android/basicsyncadapter/ |
| SyncAdapter.java | 189 * <p>As an additional optimization, we use a batch operation to perform all database writes at
212 ArrayList<ContentProviderOperation> batch = new ArrayList<ContentProviderOperation>(); local
252 batch.add(ContentProviderOperation.newUpdate(existingUri)
266 batch.add(ContentProviderOperation.newDelete(deleteUri).build());
275 batch.add(ContentProviderOperation.newInsert(FeedContract.Entry.CONTENT_URI)
283 Log.i(TAG, "Merge solution ready. Applying batch update");
284 mContentResolver.applyBatch(FeedContract.CONTENT_AUTHORITY, batch);
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| /development/samples/browseable/BasicSyncAdapter/src/com.example.android.basicsyncadapter/ |
| SyncAdapter.java | 189 * <p>As an additional optimization, we use a batch operation to perform all database writes at
212 ArrayList<ContentProviderOperation> batch = new ArrayList<ContentProviderOperation>(); local
252 batch.add(ContentProviderOperation.newUpdate(existingUri)
266 batch.add(ContentProviderOperation.newDelete(deleteUri).build());
275 batch.add(ContentProviderOperation.newInsert(FeedContract.Entry.CONTENT_URI)
283 Log.i(TAG, "Merge solution ready. Applying batch update");
284 mContentResolver.applyBatch(FeedContract.CONTENT_AUTHORITY, batch);
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| /device/google/contexthub/sensorhal/ |
| sensors.cpp | 58 device.batch = BatchWrapper;
111 int SensorContext::batch( function in class:SensorContext
115 ALOGV("batch");
119 return h->batch(handle, sampling_period_ns, max_report_latency_ns);
185 return reinterpret_cast<SensorContext *>(dev)->batch(
286 int SensorContext::HubConnectionOperation::batch( function in class:SensorContext::HubConnectionOperation
351 int SensorContext::DynamicSensorManagerOperation::batch(int handle, int64_t sampling_period_ns, function in class:SensorContext::DynamicSensorManagerOperation
353 return mDynamicSensorManager->batch(handle, sampling_period_ns, max_report_latency_ns);
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| /external/drm_gralloc/ |
| gralloc_drm_intel.c | 64 uint32_t *batch, *cur; member in struct:intel_info
78 info->cur = info->batch;
92 return info->cur - info->batch;
106 uint32_t offset = (info->cur - info->batch) * sizeof(info->batch[0]);
129 size *= sizeof(info->batch[0]);
130 ret = drm_intel_bo_subdata(info->batch_ibo, 0, size, info->batch);
132 ALOGE("failed to subdata batch");
138 ALOGE("failed to exec batch");
145 info->cur = info->batch;
[all...] |
| /external/linux-kselftest/tools/testing/selftests/networking/timestamping/ |
| txtimestamp.c | 184 int batch = 0; local
223 batch++;
227 if (batch > 1)
228 fprintf(stderr, "batched %d timestamps\n", batch);
|
| /external/mesa3d/src/gallium/auxiliary/hud/ |
| hud_driver_query.c | 76 bq->result[idx] = MALLOC(sizeof(bq->result[idx]->batch[0]) *
129 "gallium_hud: could not begin batch query. You may have "
201 struct hud_batch_query_context *batch; member in struct:query_info
218 struct hud_batch_query_context *bq = info->batch;
224 info->results_cumulative += bq->result[idx]->batch[result_index].u64;
295 assert(!info->batch);
306 if (info->batch) {
343 if (!info->batch && info->last_time) {
390 info->batch = *pbq;
|
| /external/mesa3d/src/gallium/drivers/freedreno/ |
| freedreno_query_hw.c | 64 get_sample(struct fd_batch *batch, struct fd_ringbuffer *ring,
67 struct fd_context *ctx = batch->ctx;
73 if (!batch->sample_cache[idx]) {
75 ctx->sample_providers[idx]->get_sample(batch, ring);
76 fd_hw_sample_reference(ctx, &batch->sample_cache[idx], new_samp);
77 util_dynarray_append(&batch->samples, struct fd_hw_sample *, new_samp);
78 batch->needs_flush = true;
81 fd_hw_sample_reference(ctx, &samp, batch->sample_cache[idx]);
87 clear_sample_cache(struct fd_batch *batch)
91 for (i = 0; i < ARRAY_SIZE(batch->sample_cache); i++
160 struct fd_batch *batch = ctx->batch; local
186 struct fd_batch *batch = ctx->batch; local
[all...] |
| freedreno_state.c | 122 struct fd_batch *batch, *old_batch = NULL; local
124 fd_batch_reference(&old_batch, ctx->batch);
129 batch = fd_batch_from_fb(&ctx->screen->batch_cache, ctx, framebuffer);
130 fd_batch_reference(&ctx->batch, NULL);
131 fd_reset_wfi(batch);
132 ctx->batch = batch;
137 * to the uncommitted batch (ie. you probably don't blit
146 DBG("%d: cbufs[0]=%p, zsbuf=%p", ctx->batch->needs_flush,
148 fd_batch_flush(ctx->batch, false)
[all...] |
| /external/mesa3d/src/mesa/state_tracker/ |
| st_cb_perfmon.c | 45 unsigned *batch = NULL; local
81 batch = CALLOC(max_batch_counters, sizeof(*batch));
82 if (!batch)
101 batch[num_batch_counters++] = stc->query_type;
111 /* Create the batch query. */
114 batch);
115 stm->batch_result = CALLOC(num_batch_counters, sizeof(stm->batch_result->batch[0]));
120 FREE(batch);
124 FREE(batch);
[all...] |
| /external/oj-libjdwp/src/share/back/ |
| ReferenceTypeImpl.c | 251 ObjectBatch batch; local
253 error = classInstances(clazz, &batch, maxInstances);
260 (void)outStream_writeInt(out, batch.count);
261 if (batch.count > 0) {
266 typeKey = specificTypeKey(env, batch.objects[0]);
268 for (kk = 0; kk < batch.count; kk++) {
271 inst = batch.objects[kk];
276 jvmtiDeallocate(batch.objects);
|
| /external/skia/src/gpu/ccpr/ |
| GrCoverageCountingPathRenderer.cpp | 522 const AtlasBatch& batch = fAtlasBatches[i]; local
523 SkASSERT(batch.fEndInstanceIdx > baseInstance);
525 if (!batch.fAtlas->textureProxy()) {
530 sk_ref_sp(batch.fAtlas->textureProxy()), this->getFillType());
536 batch.fEndInstanceIdx - baseInstance, baseInstance);
|
| /external/skqp/src/gpu/ccpr/ |
| GrCoverageCountingPathRenderer.cpp | 524 const AtlasBatch& batch = fAtlasBatches[i]; local
525 SkASSERT(batch.fEndInstanceIdx > baseInstance);
527 if (!batch.fAtlas->textureProxy()) {
532 sk_ref_sp(batch.fAtlas->textureProxy()), this->getFillType());
538 batch.fEndInstanceIdx - baseInstance, baseInstance);
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