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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) -
cmd/format-erasure.go
This string `json:"this"` // This field carries assigned disk uuid. // Sets field carries the input disk order generated the first // time when fresh disks were supplied, it is a two dimensional // array second dimension represents list of disks used per set. Sets [][]string `json:"sets"` // Distribution algorithm represents the hashing algorithm // to pick the right set index for an object.
Go - Registered: Sun May 05 19:28:20 GMT 2024 - Last Modified: Fri May 03 15:54:03 GMT 2024 - 23.2K bytes - Viewed (0) -
cmd/metrics-v3-types.go
// are cached and refreshed after a given timeout. // // For metrics with a `bucket` dimension, a list of buckets argument is required // to collect the metrics. // // It implements the prometheus.Collector interface for metric groups without a // bucket dimension. For metric groups with a bucket dimension, use the // `GetBucketCollector` method to get a `BucketCollector` that implements the
Go - Registered: Sun May 05 19:28:20 GMT 2024 - Last Modified: Tue Apr 30 15:05:22 GMT 2024 - 14.7K bytes - Viewed (0) -
docs/metrics/prometheus/README.md
# How to monitor MinIO server with Prometheus? [![Slack](https://slack.min.io/slack?type=svg)](https://slack.min.io)
Plain Text - Registered: Sun May 05 19:28:20 GMT 2024 - Last Modified: Fri Apr 12 15:49:30 GMT 2024 - 7.1K bytes - Viewed (0) -
tensorflow/c/c_api_test.cc
// Fetch the shape and validate it is 2 by -1. num_dims = TF_GraphGetTensorNumDims(graph, feed_out_0, s); ASSERT_EQ(TF_OK, TF_GetCode(s)) << TF_Message(s); EXPECT_EQ(2, num_dims); // Resize the dimension vector appropriately. int64_t returned_dims[2]; TF_GraphGetTensorShape(graph, feed_out_0, returned_dims, num_dims, s); ASSERT_EQ(TF_OK, TF_GetCode(s)) << TF_Message(s); EXPECT_EQ(dims[0], returned_dims[0]);
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Mon Apr 15 03:35:10 GMT 2024 - 96.9K bytes - Viewed (3) -
doc/go1.17_spec.html
The elements can be addressed by integer <a href="#Index_expressions">indices</a> 0 through <code>len(a)-1</code>. Array types are always one-dimensional but may be composed to form multi-dimensional types. </p> <pre> [32]byte [2*N] struct { x, y int32 } [1000]*float64 [3][5]int [2][2][2]float64 // same as [2]([2]([2]float64)) </pre>
HTML - Registered: Tue May 07 11:14:38 GMT 2024 - Last Modified: Thu Apr 11 20:22:45 GMT 2024 - 211.6K bytes - Viewed (0) -
doc/go_spec.html
The elements can be addressed by integer <a href="#Index_expressions">indices</a> 0 through <code>len(a)-1</code>. Array types are always one-dimensional but may be composed to form multi-dimensional types. </p> <pre> [32]byte [2*N] struct { x, y int32 } [1000]*float64 [3][5]int [2][2][2]float64 // same as [2]([2]([2]float64)) </pre> <p>
HTML - Registered: Tue May 07 11:14:38 GMT 2024 - Last Modified: Thu May 02 22:43:51 GMT 2024 - 279.6K bytes - Viewed (0)