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tensorflow/c/c_api.cc
} tensorflow::shape_inference::ShapeHandle shape = ic->output(output.index); int rank = -1; if (ic->RankKnown(shape)) { rank = ic->Rank(shape); } if (num_dims != rank) { status->status = InvalidArgument("Expected rank is ", num_dims, " but actual rank is ", rank); return; } if (num_dims == 0) { // Output shape is a scalar.
Created: Tue Dec 30 12:39:10 GMT 2025 - Last Modified: Sat Oct 04 05:55:32 GMT 2025 - 102.4K bytes - Click Count (0) -
tensorflow/c/c_api_experimental.cc
Created: Tue Dec 30 12:39:10 GMT 2025 - Last Modified: Sat Oct 04 05:55:32 GMT 2025 - 29.4K bytes - Click Count (0) -
android/guava-tests/test/com/google/common/collect/OrderingTest.java
Created: Fri Dec 26 12:43:10 GMT 2025 - Last Modified: Fri Oct 10 23:13:45 GMT 2025 - 42.8K bytes - Click Count (0) -
guava-tests/test/com/google/common/collect/OrderingTest.java
Created: Fri Dec 26 12:43:10 GMT 2025 - Last Modified: Fri Oct 10 23:13:45 GMT 2025 - 42.8K bytes - Click Count (0) -
RELEASE.md
as `tf.tpu.experimental.embedding.serving_embedding_lookup` which can take arbitrary rank of dense and sparse tensor. For ragged tensor, though the input tensor remains to be rank 2, the activations now can be rank 2 or above by specifying the output shape in the feature config or via the build method. * AddCreated: Tue Dec 30 12:39:10 GMT 2025 - Last Modified: Tue Oct 28 22:27:41 GMT 2025 - 740.4K bytes - Click Count (3) -
tensorflow/c/c_api_test.cc
ASSERT_EQ(TF_OK, TF_GetCode(s)) << TF_Message(s); EXPECT_EQ(dims[0], returned_dims[0]); EXPECT_EQ(dims[1], returned_dims[1]); // Try to set 'unknown' with unknown rank on the shape and see that // it doesn't change. TF_GraphSetTensorShape(graph, feed_out_0, /*dims=*/nullptr, -1, s); EXPECT_EQ(TF_OK, TF_GetCode(s)) << TF_Message(s);
Created: Tue Dec 30 12:39:10 GMT 2025 - Last Modified: Mon Nov 17 00:00:38 GMT 2025 - 97K bytes - Click Count (0)