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Results 1 - 3 of 3 for JI (0.02 sec)

  1. src/encoding/json/encode_test.go

    		{Name(""), textbyte(4), `"TB:4"`},
    		{Name(""), jsonint(5), `{"JI":5}`},
    		{Name(""), textint(1), `"TI:1"`},
    		{Name(""), []byte{0, 1}, `"AAE="`},
    		{Name(""), []jsonbyte{0, 1}, `[{"JB":0},{"JB":1}]`},
    		{Name(""), [][]jsonbyte{{0, 1}, {3}}, `[[{"JB":0},{"JB":1}],[{"JB":3}]]`},
    		{Name(""), []textbyte{2, 3}, `["TB:2","TB:3"]`},
    		{Name(""), []jsonint{5, 4}, `[{"JI":5},{"JI":4}]`},
    		{Name(""), []textint{9, 3}, `["TI:9","TI:3"]`},
    Registered: Wed Jun 12 16:32:35 UTC 2024
    - Last Modified: Thu May 23 18:42:28 UTC 2024
    - 29.4K bytes
    - Viewed (0)
  2. tensorflow/cc/gradients/linalg_grad.cc

      //
      // Proof: For unary einsum equations involving only transpose ("ij->ji") and
      //   traces ("ii->i"), the linear mapping's Jacobian at input x is given
      //   by the function itself. We can verify that the linear map given by the
      //   VJP are einsums with the equations "ji->ij" and "i->ii" respectively,
      //   where the latter represents 'un-tracing', or filling the diagonal with
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Mon Mar 07 23:11:54 UTC 2022
    - 20.4K bytes
    - Viewed (0)
  3. src/fmt/print.go

    		p.fmt.fmtFloat(v, size, verb, 6)
    	case 'F':
    		p.fmt.fmtFloat(v, size, 'f', 6)
    	default:
    		p.badVerb(verb)
    	}
    }
    
    // fmtComplex formats a complex number v with
    // r = real(v) and j = imag(v) as (r+ji) using
    // fmtFloat for r and j formatting.
    func (p *pp) fmtComplex(v complex128, size int, verb rune) {
    	// Make sure any unsupported verbs are found before the
    	// calls to fmtFloat to not generate an incorrect error string.
    Registered: Wed Jun 12 16:32:35 UTC 2024
    - Last Modified: Mon May 13 21:22:43 UTC 2024
    - 31.8K bytes
    - Viewed (0)
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