n; i += 4 { x := uint64(b[0]) | uint64(b[1])<<8 | uint64(b[2])<<16 | uint64(b[3])<<24 | uint64(b[4])<<32 b = b[5:] f[i] = fieldElement(decompress(uint16(x>>0&0b11_1111_1111), 10)) f[i+1] = fieldElement(decompress(uint16(x>>10&0b11_1111_1111), 10)) f[i+2] = fieldElement(decompress(uint16(x>>20&0b11_1111_1111), 10)) f[i+3] = fieldElement(decompress(uint16(x>>30&0b11_1111_1111), 10)) } return f } // ringCompressAndEncod appends an encoding of a ring element to s, // compressing each coefficient to d...

  EXPECT_EQ(TF_DOUBLE, static_cast<TF_DataType>(tensorflow::DT_DOUBLE));
  EXPECT_EQ(TF_INT32, static_cast<TF_DataType>(tensorflow::DT_INT32));
  EXPECT_EQ(TF_UINT8, static_cast<TF_DataType>(tensorflow::DT_UINT8));
  EXPECT_EQ(TF_INT16, static_cast<TF_DataType>(tensorflow::DT_INT16));
  EXPECT_EQ(TF_INT8, static_cast<TF_DataType>(tensorflow::DT_INT8));
  EXPECT_EQ(TF_STRING, static_cast<TF_DataType>(tensorflow::DT_STRING));

    *   Added 16-bit and 32-bit int support for the built-in op `bitcast`.
    *   Added 8-bit/16-bit/32-bit int/uint support for the built-in op `bitwise_xor`
    *   Added int16 indices support for built-in op `gather` and `gather_nd`.
    *   Added 8-bit/16-bit/32-bit int/uint support for the built-in op `right_shift`
    *   Added reference implementation for 16-bit int unquantized `add`.

  <mime-type type="application/vnd.fdsn.seed">
    <glob pattern="*.seed"/>
    <glob pattern="*.dataless"/>
  </mime-type>
  <mime-type type="application/vnd.ffsns"/>
  <mime-type type="application/vnd.fints"/>
  <mime-type type="application/vnd.flographit">
    <glob pattern="*.gph"/>
  </mime-type>
  <mime-type type="application/vnd.fluxtime.clip">
    <glob pattern="*.ftc"/>
  </mime-type>