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Results 1 - 7 of 7 for transpose_a (0.12 sec)

  1. tensorflow/c/c_api_test.cc

                           TF_Operation* r, const char* name,
                           bool transpose_a = false, bool transpose_b = false) {
        TF_OperationDescription* desc = TF_NewOperation(graph, "MatMul", name);
        if (transpose_a) {
          TF_SetAttrBool(desc, "transpose_a", 1);
        }
        if (transpose_b) {
          TF_SetAttrBool(desc, "transpose_b", 1);
        }
        TF_AddInput(desc, {l, 0});
        TF_AddInput(desc, {r, 0});
    Registered: Tue Dec 30 12:39:10 UTC 2025
    - Last Modified: Mon Nov 17 00:00:38 UTC 2025
    - 97K bytes
    - Viewed (0)
  2. android/guava/src/com/google/common/collect/Tables.java

        }
      }
    
      /**
       * Creates a transposed view of a given table that flips its row and column keys. In other words,
       * calling {@code get(columnKey, rowKey)} on the generated table always returns the same value as
       * calling {@code get(rowKey, columnKey)} on the original table. Updating the original table
       * changes the contents of the transposed table and vice versa.
       *
    Registered: Fri Dec 26 12:43:10 UTC 2025
    - Last Modified: Mon Sep 22 18:35:44 UTC 2025
    - 24.9K bytes
    - Viewed (0)
  3. guava-tests/test/com/google/common/graph/GraphsTest.java

        Network<Integer, String> transpose = transpose(directedGraph);
        assertThat(transpose).isEqualTo(expectedTranspose);
        assertThat(transpose(transpose)).isSameInstanceAs(directedGraph);
        AbstractNetworkTest.validateNetwork(transpose);
    
        assertThat(transpose.edgesConnecting(N1, N2)).isEmpty();
        assertThat(transpose.edgeConnecting(N1, N2)).isEmpty();
        assertThat(transpose.edgeConnectingOrNull(N1, N2)).isNull();
    
    Registered: Fri Dec 26 12:43:10 UTC 2025
    - Last Modified: Tue Sep 30 17:09:51 UTC 2025
    - 30.1K bytes
    - Viewed (0)
  4. android/guava-tests/test/com/google/common/collect/TableCollectionTest.java

    import static com.google.common.collect.Tables.immutableCell;
    import static com.google.common.collect.Tables.transformValues;
    import static com.google.common.collect.Tables.transpose;
    import static com.google.common.collect.Tables.unmodifiableRowSortedTable;
    import static com.google.common.collect.Tables.unmodifiableTable;
    import static java.util.Collections.sort;
    
    Registered: Fri Dec 26 12:43:10 UTC 2025
    - Last Modified: Thu Aug 07 16:05:33 UTC 2025
    - 35.5K bytes
    - Viewed (0)
  5. RELEASE.md

    *   Fixes a `CHECK` failures in `UnbatchGradOp` ([CVE-2022-35952](https://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2022-35952))
    *   Fixes a segfault TFLite converter on per-channel quantized transposed convolutions ([CVE-2022-36027](https://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2022-36027))
    *   Fixes a `CHECK` failures in `AvgPool3DGrad` ([CVE-2022-35959](https://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2022-35959))
    Registered: Tue Dec 30 12:39:10 UTC 2025
    - Last Modified: Tue Oct 28 22:27:41 UTC 2025
    - 740.4K bytes
    - Viewed (3)
  6. lib/fips140/v1.0.0-c2097c7c.zip

    N++ } for i := range e1 { e1[i] = samplePolyCBD(rnd, N) N++ } e2 := samplePolyCBD(rnd, N) u := make([]ringElement, k1024) // NTT⁻¹(AT ◦ r) + e1 for i := range u { u[i] = e1[i] for j := range r { // Note that i and j are inverted, as we need the transposed of A. u[i] = polyAdd(u[i], inverseNTT(nttMul(ex.a[j*k1024+i], r[j]))) } } μ := ringDecodeAndDecompr(m) var vNTT nttElement // t⊺ ◦ r for i := range ex.t { vNTT = polyAdd(vNTT, nttMul(ex.t[i], r[i])) } v := polyAdd(polyAdd(inverseNTT(vNTT), e2),...
    Registered: Tue Dec 30 11:13:12 UTC 2025
    - Last Modified: Thu Sep 25 19:53:19 UTC 2025
    - 642.7K bytes
    - Viewed (0)
  7. lib/fips140/v1.1.0-rc1.zip

    for i := range e1 { e1[i] = samplePolyCBD(rnd, N) N++ } e2 := samplePolyCBD(rnd, N) u := make([]ringElement, k1024) // NTT⁻¹(AT ◦ r) + e1 for i := range u { var uHat nttElement for j := range r { // Note that i and j are inverted, as we need the transposed of A. uHat = polyAdd(uHat, nttMul(ex.a[j*k1024+i], r[j])) } u[i] = polyAdd(e1[i], inverseNTT(uHat)) } μ := ringDecodeAndDecompr(m) var vNTT nttElement // t⊺ ◦ r for i := range ex.t { vNTT = polyAdd(vNTT, nttMul(ex.t[i], r[i])) } v := polyAdd(po...
    Registered: Tue Dec 30 11:13:12 UTC 2025
    - Last Modified: Thu Dec 11 16:27:41 UTC 2025
    - 663K bytes
    - Viewed (0)
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