}
		}
	}()

	var (
		hr     *hash.Reader
		isSSEC = crypto.SSEC.IsEncrypted(objInfo.UserDefined)
	)

	var objectSize int64
	for _, partInfo := range objInfo.Parts {
		if isSSEC {
			hr, err = hash.NewReader(ctx, io.LimitReader(r, partInfo.Size), partInfo.Size, "", "", partInfo.ActualSize)
		} else {

	// create xlStorage test setup
	xlStorage, _, err := newXLStorageTestSetup(t)
	if err != nil {

        requires all optimizer variables to be created at the first
        `apply_gradients()` or `minimize()` call. If your workflow calls
        optimizer to update different parts of model in multiple stages,
        please call `optimizer.build(model.trainable_variables)` before the
        training loop.
    *   **Performance regression on `ParameterServerStrategy`.** This could be

t-asm/cryptogams/blob/master/ppc/aesp8-ppc.pl // Some function names were changed to be consistent with Go function // names. For instance, function aes_p8_set_{en,de}crypt_key become // set{En,De}cryptKeyAsm. I also split setEncryptKeyAsm in two parts // and a new session was created (doEncryptKeyAsm). This was necessary to // avoid arguments overwriting when setDecryptKeyAsm calls setEncryptKeyAsm. // There were other modifications as well but kept the same functionality. #include "textflag.h"...

t-asm/cryptogams/blob/master/ppc/aesp8-ppc.pl // Some function names were changed to be consistent with Go function // names. For instance, function aes_p8_set_{en,de}crypt_key become // set{En,De}cryptKeyAsm. I also split setEncryptKeyAsm in two parts // and a new session was created (doEncryptKeyAsm). This was necessary to // avoid arguments overwriting when setDecryptKeyAsm calls setEncryptKeyAsm. // There were other modifications as well but kept the same functionality. #include "textflag.h"...