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Results 1 - 10 of 19 for dimensions (6.62 sec)
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tensorflow/c/eager/c_api_test_util.h
// Return a tensor handle containing 2D matrix containing given data and // dimensions TFE_TensorHandle* TestMatrixTensorHandleWithInput(TFE_Context* ctx, float data[], int64_t dims[], int num_dims); // Get a Matrix TensorHandle with given float values and dimensions TFE_TensorHandle* TestTensorHandleWithDimsFloat(TFE_Context* ctx, float data[],
C - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Mon Jul 17 23:43:59 GMT 2023 - 7.7K bytes - Viewed (0) -
tensorflow/c/experimental/next_pluggable_device/tensor_pjrt_buffer_util_test.cc
std::vector<int32_t> data(1, 0); xla::Shape shape = xla::ShapeUtil::MakeShape(xla::S32, {1}); auto buffer = c_api_client->pjrt_c_client()->client->BufferFromHostBuffer( data.data(), shape.element_type(), shape.dimensions(), /*byte_strides=*/std::nullopt, xla::PjRtClient::HostBufferSemantics::kImmutableOnlyDuringCall, nullptr, c_api_client->pjrt_c_client()->client->addressable_devices()[0]); CHECK_OK(buffer.status());
C++ - Registered: Tue Feb 27 12:39:08 GMT 2024 - Last Modified: Mon Oct 30 19:20:20 GMT 2023 - 7.2K bytes - Viewed (0) -
tensorflow/c/eager/gradient_checker.cc
void Range(vector<int32_t>* data, int32_t start, int32_t end, int32_t step = 1) { for (int32_t i = start; i < end; i += step) { (*data)[i] = i; } } // Fills out_dims with the dimensions of the given tensor. void GetDims(const TF_Tensor* t, int64_t* out_dims) { int num_dims = TF_NumDims(t); for (int i = 0; i < num_dims; i++) { out_dims[i] = TF_Dim(t, i); } }
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Thu Feb 15 09:49:45 GMT 2024 - 7.3K bytes - Viewed (0) -
tensorflow/c/eager/unified_api_testutil.h
absl::Span<AbstractTensorHandle*> outputs, bool use_function); Status BuildImmediateExecutionContext(bool use_tfrt, AbstractContext** ctx); // Return a tensor handle with given type, values and dimensions. template <class T, TF_DataType datatype> Status TestTensorHandleWithDims(AbstractContext* ctx, const T* data, const int64_t* dims, int num_dims,
C - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Tue Feb 27 13:57:45 GMT 2024 - 4K bytes - Viewed (0) -
tensorflow/c/c_api.h
// entries (e.g., the return value of TF_GraphGetTensorNumDims). // // If the number of dimensions in the shape is unknown or the shape is // a scalar, `dims` will remain untouched. Otherwise, each element of // `dims` will be set corresponding to the size of the dimension. An // unknown dimension is represented by `-1`. // // Returns an error into `status` if: // * `output` is not in `graph`.
C - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Thu Oct 26 21:08:15 GMT 2023 - 82.3K bytes - Viewed (3) -
tensorflow/c/eager/gradients.cc
if (num_dims > TensorShape::MaxDimensions()) { return errors::InvalidArgument("Value specified for `", attr_name, "` has ", num_dims, " dimensions which is over the limit of ", TensorShape::MaxDimensions(), "."); } TensorShapeProto proto; if (num_dims < 0) { proto.set_unknown_rank(true); } else {
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Thu Feb 15 09:49:45 GMT 2024 - 19.3K bytes - Viewed (0) -
tensorflow/c/eager/dlpack.cc
bool valid = true; int64_t expected_stride = 1; for (int i = ndim - 1; i >= 0; --i) { // Empty tensors are always compact regardless of strides. if (shape_arr[i] == 0) return true; // Note that dimensions with size=1 can have any stride. if (shape_arr[i] != 1 && stride_arr[i] != expected_stride) { valid = false; } expected_stride *= shape_arr[i]; } return valid; } } // namespace
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Thu Feb 15 09:49:45 GMT 2024 - 12.8K bytes - Viewed (0) -
tensorflow/c/c_api_experimental.cc
DCHECK(index >= 0 && index < shape_list->num_items); TF_ShapeAndType& shape = shape_list->items[index]; DCHECK(shape.dims == nullptr) << "Shape at " << index << " is already set!"; DCHECK(num_dims >= 0) << "Number of dimensions cannot be negative!"; shape.num_dims = num_dims; shape.dims = new int64_t[num_dims]; memcpy(shape.dims, dims, sizeof(int64_t) * num_dims); }
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Mon Apr 15 03:35:10 GMT 2024 - 29.4K bytes - Viewed (0) -
RELEASE.md
control flow. * Add `RaggedTensor.numpy()`. * Update `RaggedTensor.__getitem__` to preserve uniform dimensions & allow indexing into uniform dimensions. * Update `tf.expand_dims` to always insert the new dimension as a non-ragged dimension. * Update `tf.embedding_lookup` to use `partition_strategy` and `max_norm` when `ids` is ragged.
Plain Text - Registered: Tue May 07 12:40:20 GMT 2024 - Last Modified: Mon Apr 29 19:17:57 GMT 2024 - 727.7K bytes - Viewed (8) -
tensorflow/c/c_api.cc
InvalidArgument("Node ", node->name(), " was not found in the graph"); return -1; } tensorflow::shape_inference::ShapeHandle shape = ic->output(output.index); // Unknown rank means the number of dimensions is -1. if (!ic->RankKnown(shape)) { return -1; } return ic->Rank(shape); } void TF_GraphGetTensorShape(TF_Graph* graph, TF_Output output, int64_t* dims,
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Mon Apr 15 03:35:10 GMT 2024 - 102.3K bytes - Viewed (0)