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Searched refs:new_dimensions (Results 1 – 10 of 10) sorted by relevance

/external/libvpx/vp9/encoder/
Dvp9_lookahead.c108 int larger_dimensions, new_dimensions; in vp9_lookahead_push() local
118 new_dimensions = width != buf->img.y_crop_width || in vp9_lookahead_push()
125 assert(!larger_dimensions || new_dimensions); in vp9_lookahead_push()
135 if (!new_dimensions && ctx->max_sz == 1 && active_map && !flags) { in vp9_lookahead_push()
179 } else if (new_dimensions) { in vp9_lookahead_push()
/external/libaom/av1/encoder/
Dlookahead.c110 int larger_dimensions, new_dimensions; in av1_lookahead_push() local
123 new_dimensions = width != buf->img.y_crop_width || in av1_lookahead_push()
130 assert(!larger_dimensions || new_dimensions); in av1_lookahead_push()
141 } else if (new_dimensions) { in av1_lookahead_push()
/external/tensorflow/tensorflow/compiler/xla/service/
Dlayout_normalization.cc368 std::vector<int64_t> new_dimensions = in HandleReverse() local
372 HloInstruction::CreateReverse(a0->shape(), a0, new_dimensions)); in HandleReverse()
444 std::vector<int64_t> new_dimensions; in TransformDimensionsForLayoutPreservingHlo() local
456 new_dimensions.push_back(tr_dim - degen_delta); in TransformDimensionsForLayoutPreservingHlo()
458 absl::c_sort(new_dimensions); in TransformDimensionsForLayoutPreservingHlo()
459 return new_dimensions; in TransformDimensionsForLayoutPreservingHlo()
Dspace_to_batch_converter.cc747 std::vector<int64_t> new_dimensions(activations->shape().dimensions().begin(), in SplitAndTransposeMergedBatch() local
756 new_dimensions[batch_dimension] = old_batch_size; in SplitAndTransposeMergedBatch()
761 new_dimensions.insert(new_dimensions.begin() + spatial_dimensions[0], in SplitAndTransposeMergedBatch()
767 MakeReshapeHlo(new_dimensions, activations)); in SplitAndTransposeMergedBatch()
771 std::vector<int64_t> transpose_dims(new_dimensions.size()); in SplitAndTransposeMergedBatch()
774 std::vector<int64_t> trans_dims(new_dimensions.size()); in SplitAndTransposeMergedBatch()
800 std::vector<int64_t> new_dimensions(activations->shape().dimensions().begin(), in ChangeSpatialSizeOnSpaceToBatchedShape() local
1814 std::vector<int64_t> new_dimensions( in Propagate() local
1817 new_dimensions[space_dim] *= (batch_size / old_batch_size); in Propagate()
1818 new_dimensions[batch_dim] = old_batch_size; in Propagate()
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Dshape_inference.cc413 std::vector<int64_t> new_dimensions(arg_shape->dimensions().begin(), in InferConcatOpShape() local
416 new_dimensions[dimension] += arg_shapes[i]->dimensions(dimension); in InferConcatOpShape()
419 Shape result = ShapeUtil::MakeShape(element_type, new_dimensions); in InferConcatOpShape()
2157 std::vector<int64_t> new_dimensions(shape.dimensions().begin(), in InferAllToAllShape() local
2159 new_dimensions[split_dimension] /= split_count; in InferAllToAllShape()
2160 new_dimensions[concat_dimension] *= split_count; in InferAllToAllShape()
2161 return ShapeUtil::MakeShape(shape.element_type(), new_dimensions); in InferAllToAllShape()
2269 std::vector<int64_t> new_dimensions; in InferReduceShape() local
2273 new_dimensions.push_back(arg.dimensions(i)); in InferReduceShape()
2280 new_dimensions, new_is_dynamic); in InferReduceShape()
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Dalgebraic_simplifier.cc3546 std::vector<int64_t> new_dimensions; in HandleBroadcast() local
3547 new_dimensions.reserve(operand->dimensions().size()); in HandleBroadcast()
3549 new_dimensions.push_back(dims[dim]); in HandleBroadcast()
3554 broadcast->shape(), operand->mutable_operand(0), new_dimensions)); in HandleBroadcast()
5431 std::vector<int64_t> new_dimensions; in HandleReduce() local
5432 new_dimensions.reserve(arg->dimensions().size() + in HandleReduce()
5435 reduce_dims.end(), std::back_inserter(new_dimensions)); in HandleReduce()
5439 new_dimensions, function)); in HandleReduce()
/external/tensorflow/tensorflow/compiler/xla/
Dliteral_util.cc389 absl::Span<const int64_t> new_dimensions, in ReshapeSlice() argument
392 for (int64_t i = 0, end = new_dimensions.size(); i < end; ++i) { in ReshapeSlice()
393 new_num_elements *= new_dimensions[i]; in ReshapeSlice()
396 CHECK_EQ(new_dimensions.size(), minor_to_major.size()); in ReshapeSlice()
399 ShapeUtil::MakeShape(literal.shape().element_type(), new_dimensions)); in ReshapeSlice()
Darray.h532 void Reshape(absl::Span<const int64_t> new_dimensions) {
534 sizes_ = std::vector<int64_t>(new_dimensions.begin(), new_dimensions.end());
Dliteral_util.h242 static Literal ReshapeSlice(absl::Span<const int64_t> new_dimensions,
/external/tensorflow/tensorflow/python/ops/ragged/
Ddynamic_ragged_shape.py774 new_dimensions = new_inner_rank - self.inner_rank
776 [not x.is_uniform() for x in self.row_partitions[-new_dimensions:]]):
779 new_dimensions = new_inner_rank - self.inner_rank
781 x.uniform_row_length() for x in self.row_partitions[-new_dimensions:]