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tensorflow/compiler/mlir/tensorflow/utils/convert_tensor.cc
} // Converts the tensor shape proto into an MLIR shape attribute. absl::StatusOr<mlir::Attribute> ConvertTensorShapeProto( const TensorShapeProto& shape, mlir::MLIRContext* context) { if (shape.unknown_rank()) return mlir::TF::ShapeAttr::get(context, std::nullopt); llvm::SmallVector<int64_t, 4> dims; dims.reserve(shape.dim().size()); for (const auto& dim : shape.dim()) {
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Fri Apr 26 09:37:10 UTC 2024 - 20.5K bytes - Viewed (0) -
tensorflow/c/ops.h
// if (TF_GetCode(status) != TF_OK) { // // handle error // } // // SHAPE INFERENCE // --------------- // // You can provide a shape inference function that TensorFlow will call when it // wants to understand the shape of outputs that the op will produce. Use the // TF_OpDefinitionBuilderSetShapeInferenceFunction function to register a shape // inference function pointer with TensorFlow. The following is an example of a
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Apr 27 21:07:00 UTC 2023 - 16.3K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/tests/graphdef2mlir/mlir_passthrough_op.pbtxt
attr { key: "_user_specified_name" value { s: "x" } } attr { key: "dtype" value { type: DT_FLOAT } } attr { key: "shape" value { shape { dim { size: 10 } } } } } node { name: "y" op: "Placeholder" attr { key: "_user_specified_name" value { s: "y"
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Mon Oct 30 06:52:55 UTC 2023 - 1.9K bytes - Viewed (0) -
tensorflow/compiler/jit/pjrt_tensor_buffer_util.cc
#include "tsl/platform/statusor.h" namespace tensorflow { static size_t GetTensorSize(const TensorShape& shape, const DataType dtype) { return shape.num_elements() * DataTypeSize(dtype); } absl::StatusOr<Tensor> MakeTensorFromPjRtBuffer( const DataType dtype, const TensorShape& shape, std::unique_ptr<xla::PjRtBuffer> pjrt_buffer) { TF_ASSIGN_OR_RETURN(std::unique_ptr<xla::PjRtBuffer::ExternalReference> ref,
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Sep 14 18:14:47 UTC 2023 - 3.5K bytes - Viewed (0) -
tensorflow/compiler/mlir/tfr/tests/ops.mlir
func.return %0 : !tfr.tensor<K> } // ----- // CHECK-LABEL: get_shape func.func @get_shape(%arg0: !tfr.tensor) -> (!shape.shape, !shape.shape) { %0 = tfr.get_shape %arg0 -> !shape.shape %1 = "tfr.get_shape"(%arg0) : (!tfr.tensor) -> !shape.shape func.return %0, %1 : !shape.shape, !shape.shape } // ----- // CHECK-LABEL: get_real_shape func.func @get_real_shape(%arg0: tensor<1x2xf32>) -> tensor<2xindex> {
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Sat Jan 14 22:15:06 UTC 2023 - 13.1K bytes - Viewed (0) -
tensorflow/compiler/jit/pjrt_device_context.cc
cpu_tensor->shape(), cpu_tensor->dtype(), std::nullopt); TF_ASSIGN_OR_RETURN(xla::Shape shape, shape_determination_fns.shape_representation_fn( cpu_tensor->shape(), cpu_tensor->dtype(), /*fast_mem=*/false, layout_preference)); const xla::Layout* device_layout = &(shape.layout()); // The device id should match the local_hardware_id in
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Sat Apr 13 08:49:31 UTC 2024 - 11.6K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/tests/tpu-multiple-while-body-func.mlir
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed Mar 13 21:23:47 UTC 2024 - 2.9K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/stablehlo/transforms/fuse_convolution_pass.cc
.getOutputDimensions() .getDefiningOp<shape::ShapeOfOp>(); // Check if the shape come from the original conv op. if (!shape_of_op || shape_of_op.getArg().getDefiningOp<mhlo::ConvolutionOp>() != conv_op) { return failure(); } Value new_shape_of = rewriter.create<shape::ShapeOfOp>( mul_op.getLoc(), shape_of_op.getType(), new_conv);
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Feb 22 22:21:19 UTC 2024 - 8.3K bytes - Viewed (0) -
tensorflow/compiler/jit/xla_host_recv_device_context.h
// xla::Shape shape(xla::F32, {2, 2}, {}, {}) // tsl::AsyncValueRef<std::unique_ptr<se::Event>> done_event = // tsl::MakeConstructedAsyncValueRef<std::unique_ptr<se::Event>>(stream.parent()); // done_event->Init(); // Tensor dest_cpu_tensor; // // XlaHostRecvDeviceContext device_context(&stream, gpu_dst, // shape, done_event); // device_context.CopyDeviceTensorToCPUSync(
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Fri May 17 22:46:36 UTC 2024 - 3.9K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/utils/convert_type.cc
llvm::SmallVectorImpl<int64_t>* shape) { shape->reserve(input_shape.dims()); for (const auto& d : input_shape) { shape->push_back(d.size == kTFDynamicSize ? ShapedType::kDynamic : d.size); } } Status ConvertToMlirShape(const TensorShapeProto& input_shape, llvm::SmallVectorImpl<int64_t>* shape) { shape->reserve(input_shape.dim_size());
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Fri Apr 26 09:37:10 UTC 2024 - 7.5K bytes - Viewed (0)